Books
2009(1 publication)
[publication]Paiva, R.P. , "Melody Detection in Polyphonic Audio: From Pitch Extraction to Note Identification",  vol. na, 2009

Journal Articles
2020(1 publication)
[publication]Pereira, P. and Paiva, R.P. and al., e. , "Skin Lesion Classication Enhancement Using Border-Line Features - the Melanoma vs Nevus problem",  Biomedical Signal Processing and Control,  vol. 57,  pp. 101765, 2020

2019(1 publication)
[publication]Rocha, B.M.M. and Paiva, R.P. and P. Carvalho and al., e. , "An Open Access Database for the Evaluation of Respiratory Sound Classifica-tion Algorithms", Physiological Measurement ,  vol. 40, 2019

2018(2 publications)
[publication]Malheiro, R., and Panda, Renato and Paulo Gomes and Paiva, R.P. , "Emotionally-Relevant Features for Classification and Regression of Music Lyrics", IEEE Transactions on Affective Computing,  vol. 9,  pp. 240-254, 2018
[citation][year=2017]Çano, E., Morisio, M.. "MoodyLyrics: A  Sentiment  Annotated  Lyrics  Dataset. International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence", Hong Kong, March, 2017.

[publication]Panda, Renato and Malheiro, R., and Paiva, R.P. , "Novel audio features for music emotion recognition", IEEE Transactions on Affective Computing (early access), 2018

2016(2 publications)
[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Henriques, J. and Eickholt, C. and Brinkmeyer, C. and Meyer, C. , "Real Time Prediction of Neurally Mediated Syncope", IEEE Journal of Biomedical and Health Informatics,  vol. 20,  pp. 508-520, 2016

[publication]Vogt, B. and Mendes, L. and Chouvarda, I. and Paiva, R.P. and Maglaveras, N. and al., e. , "Influence of torso and arm positions on chest examinations by electrical impedance tomography", Physiological Measurement,  vol. 37,  pp. 904-921, 2016

2015(2 publications)
[publication]Panda, Renato and Rocha, B.M.M. and Paiva, R.P. , "Music Emotion Recognition with Standard and Melodic Audio Features", Applied Artificial Intelligence,  vol. 29,  pp. 313-334, 2015
[citation][year=2016]Saim Shin, Sei-Jin Jang, Donghyun Lee, Unsang Park and Ji-Hwan Kim, "Brainwave-based Mood Classification Using Regularized Comm," KSII Transactions on Internet and Information Systems, vol. 10, no. 2, pp. 807-824, 2016. DOI: 10.3837/tiis.2016.02.020
[citation][year=2015]Dufour, I. (2015). Improving Music Mood Annotation Using Polygonal Circular Regression. MSc Thesis. Department of Computer Science, University of Victoria, Victoria, BC, Canada.

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Quintal, I. and Antunes, M. and Muehlsteff, J. . and Eickholt, C. and Brinkmeyer, C. and Meyer, C. , "Assessment of cardiovascular function from multi-Gaussian fitting of a finger photoplethysmogram", Physiol. Meas. ,  vol. 36,  pp. 1801-1825, 2015

2014(1 publication)
[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Muehlsteff, J. . , "Detection of motion artifact patterns in photoplethysmographic signals based on time and period domain analysis", Physiological Measurement,  vol. 35,  pp. 2369-2388, 2014

2012(1 publication)
[publication]Paiva, R.P. and P. Carvalho and Couceiro, R. and Henriques, J. and Antunes, M. and Quintal, I. and Muehlsteff, J. . , "Beat-to-Beat Systolic Time-Interval Measurement from Heart Sounds and ECG", Physiological Measurement ,  vol. 33,  pp. 177-194, 2012
[citation][year=2013]1. Su, Ho-Ming, et al. (2013). "A Comparison between Brachial and Echocardiographic Systolic Time Intervals." PloS one 8.2: e55840.
[citation][year=2013]Luprano, J., et al. "HeartCycle: Advanced sensors for telehealth applications." Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013.

2011(1 publication)
[publication]D. Kumar and P. Carvalho and Antunes, M. and Paiva, R.P. and Henriques, J. , "Noise detection during heart sound recording using periodicity signatures", Physiological Measurement, 2011
[citation][year=2013]Castro, A., Vinhoza, T. T., Mattos, S. S., & Coimbra, M. T. (2013). Heart Sound Segmentation of Pediatric Auscultations Using Wavelet Analysis. EMBC’2013.
[citation][year=2013]Naseri, H., Homaeinezhad, M. R., & Pourkhajeh, H. (2013). Noise/Spike Detection in Phonocardiogram Signal as a Cyclic Random Process with Non-Stationary Period Interval. Computers in Biology and Medicine.
[citation][year=2013]H. Naseri, M. R. Homaeinezhad (2013). “Detection and Boundary Identification of Phonocardiogram Sounds Using an Expert Frequency-Energy Based Metric”,  Annals of Biomedical Engineering, Volume 41, Issue 2, pp 279-292
[citation][year=2013]Rendón, S. M., Hoyos, C. C., Travieso-Gonzales, C. M., & Castellanos-Domínguez, G. (2013). Phonocardiography Signal Segmentation for Telemedicine Environments. In Advances in Computational Intelligence (pp. 124-134). Springer Berlin Heidelberg.
[citation][year=2013]Naseri, H., and M. R. Homaeinezhad. "Detection and boundary identification of phonocardiogram sounds using an expert frequency-energy based metric." Annals of biomedical engineering 41.2 (2013): 279-292.
[citation][year=2013]Castro, Ana, et al. "Heart Sound Segmentation of Pediatric Auscultations Using Wavelet Analysis."
[citation][year=2013]Rendón, Santiago Murillo, et al. "Phonocardiography Signal Segmentation for Telemedicine Environments." Advances in Computational Intelligence. Springer Berlin Heidelberg, 2013. 124-134.
[citation][year=2013]Naseri, H., M. R. Homaeinezhad, and H. Pourkhajeh. "Noise/Spike Detection in Phonocardiogram Signal as a Cyclic Random Process with Non-Stationary Period Interval." Computers in Biology and Medicine (2013).
[citation][year=2012]KUNAL KARANDIKAR, "ESTIMATION OF SURROGATE RESPIRATION AND DETECTION OF SLEEP APNEA EVENTS FROM DYNAMC DATA MINING OF MULTIPLE CARDIORESPIRATORY SENSORS", Master Thesis, Oklahoma State University, USA. pages 91
[citation][year=2012]Fatemeh Safara, Shyamala Doraisamy, Azreen Azman, Azrul Jantan, "Heart Sounds Clustering using a Combination of Temporal, Spectral and Geometric Features", in Proc. of IEEE Conf. on Computers in Cardiology, 39, 2012, pp. 217-220.
[citation][year=2012]Safara, Fatemeh, et al. "Heart sounds clustering using a combination of temporal, spectral and geometric features." Computing in Cardiology (CinC), 2012. IEEE, 2012.
[citation][year=2011]1. Silva, N. (2011). Phonocardiogram noise detection in realistic environments. MSc Thesis, University of Porto, Portugal.

2008(1 publication)
[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "From Pitches to Notes: Creation and Segmentation of Pitch Tracks for Melody Detection in Polyphonic Audio", Journal of New Music Research,  vol. 37,  pp. 185-205, 2008
[citation][year=2013]1. Schneider, Albrecht. "Change and Continuity in Sound Analysis: A Review of Concepts in Regard to Musical Acoustics, Music Perception, and Transcription." Sound-Perception-Performance. Springer International Publishing, 2013. 71-111. 
[citation][year=2010]1. Bar?s Bozkurt, Ali Cenk Gedik,F. Acar SAVACI, Mustafa Kemal Karaosmano?lu,Mehmet Erdal Özbek,  “Klasik Türk müzi?i kay?tlar?n?n otomatik olarak notaya dökülmesi ve otomatik makam tan?ma”, Report, Izmir University, Turkey. 
2. Mallikarjuna, Trishul (2010). “Towards expressive melodic accompaniment using parametric modeling of continuous musical elements in a multi-attribute prediction suffix trie framework”, MSc Thesis, Georgia Institute of Technology, USA.


2006(1 publication)
[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "Melody Detection in Polyphonic Musical Signals: Exploiting Perceptual Rules, Note Salience and Melodic Smoothness", Computer Music Journal,  vol. 30, 2006
[citation][year=2015]Laaksonen, Antti. "Algorithms for melody search and transcription." (2015).
[citation][year=2015]DOMINGO BALLESTER, M. I. G. U. E. L. Reconocedor automático de melodías de música clásica. Diss. 2015.
[citation][year=2014]Salamon, Justin, et al. "Melody extraction from polyphonic music signals: Approaches, applications, and challenges." Signal Processing Magazine, IEEE 31.2 (2014): 118-134.
[citation][year=2014]Ishwar, Vignesh. Pitch Estimation of the Predominant Vocal Melody from Heterophonic Music Audio Recordings. Diss. Master Thesis, Universitat Pompeu Fabra, Barcelona, 2014.
[citation][year=2014]Giraldo, Sergio, and Rafael Ramirez. "Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms." Joint Conference ICMC-SMC. 2014.
[citation][year=2014]BRISUDA, Rudolf. "Transcription of Piano Music."
[citation][year=2014]Nieto, Belén. "Addressing user satisfaction in melody extraction."
[citation][year=2014]Laaksonen, Antti. "Automatic Melody Transcription based on Chord Transcription." ISMIR. 2014.
[citation][year=2014]Brisuda, Rudolf. "Tones Recognition for Displaying Interactive Music Sheets on Mobile Devices." (2014).
[citation][year=2013]Salamon, J., Gómez E., Ellis D. P. W., & Richard G. (2013). “Melody Extraction from Polyphonic Music Signals: Approaches, Applications and Challenges”, IEEE Signal Processing Magazine (in press).
[citation][year=2013]Rajan, R., Murthy, H.A.,"Group delay based melody monopitch extraction from music",2013,"ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",,, 6637634,186,190,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84890505347&partnerID=40&md5=4d9974173b4d0539f70b90891999983c",Conference Paper,Scopus
[citation][year=2013]Yao, G., Zheng, Y., Xiao, L., Ruan, L., Li, Y.,"Efficient vocal melody extraction from polyphonic music signals",2013,"Elektronika ir Elektrotechnika",19,6,,103,108,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84879285786&partnerID=40&md5=d3282a096d6ecf7671c58cf7f750665e",Article,Scopus
[citation][year=2013]Rajan, Rajeev, and Hema A. Murthy. "Melodic pitch extraction from music signals using modified group delay functions." Communications (NCC), 2013 National Conference on. IEEE, 2013.
[citation][year=2013]Yao, G., et al. "Efficient Vocal Melody Extraction from Polyphonic Music Signals." Electronics and Electrical Engineering 19.6 (2013): 103-108.

[citation][year=2012]Salamon, J.; Gomez, E.; , "Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics," Audio, Speech, and Language Processing, IEEE Transactions on , vol.20, no.6, pp.1759-1770, Aug. 2012
[citation][year=2012]Salamon J. and Urbano J. (2012), “Current Challenges in the Evaluation of Predominant Melody Extraction Algorithms”, 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 
[citation][year=2012]J Salamon, G Peeters, A Röbel (2012). “Statistical characterisation of melodic pitch contours and its application for melody extraction”, ISMIR 2012
[citation][year=2011]Seokhwan Jo, Chang D. Yoo, and Arnaud Doucet (2011). “Melody Tracking based on Sequential Bayesian Model”, to appear for publication in IEEE Journal of Selected Topics in Signal Processing, November 2011.
[citation][year=2011]S Jo, CD Yoo, A Doucet (2011). “Melody Tracking Based on Sequential Bayesian Model”, Selected Topics in Signal Processing, Vol. 5, No. 6, pp. 1216-27
[citation][year=2011]Martens, Ga. "Extraction and representation of semantic information in digital media." (2011): HASH-0x6fd2dd8.
[citation][year=2011]LF Thomaz (2011). “Um arcabouço para construçao de sistemas multiagente musicais”, PhD Thesis, Universidade de São Paulo, Brazil

[citation][year=2011]Liao et al. (2011). “On the use of perceptual properties for melody estimation”, DAFx 2011.
[citation][year=2010]Vishweshwara Rao and Preeti Rao (2010). “Vocal melody extraction in the presence of pitched accompaniment in polyphonic music”, IEEE Transactions on Audio, Speech and Language Processing, Vol. 18(8), pp. 2145-2154.
[citation][year=2010]Jo S. and Yoo C. D. (2010). “Melody extraction from polyphonic audio based on particle filter”, ISMIR’2010.
[citation][year=2010]H Kwok (2010). “Using generative techniques to visualize music in a meaningful way”, BA Thesis, Using generative techniques to visualize music in a meaningful way
[citation][year=2010]S Joo, S Jo, CD Yoo (2010). “Melody extraction from polyphonic audio signal”,  mirex2010

[citation][year=2009]Dias R. (2009). “MuVis: Localização e Visualização de Músicas”, MSc Thesis, Technical University of Lisbon.
[citation][year=2009]Vishweshwara Rao and Preeti Rao (2010). “Improving Polyphonic Melody Extraction By Dynamic Programming Based Dual F0 Tracking”, Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009.
[citation][year=2009]Masahiro Niitsuma Tsutomu Fujinami‡ Yo Tomita (2009). “THE INTERSECTION OF COMPUTATIONAL ANALYSIS AND MUSIC MANUSCRIPTS: A NEWMODEL FOR BACH SOURCE STUDIES OF THE 21ST CENTURY”. International Society for Music Information Retrieval Conference (ISMIR 2009).
[citation][year=2009]Niitsuma M. et al. (2009). “The Intersection of Computational Analysis and Music Manuscripts: A New Model for Bach Source Studies of the 21st Century”, ISMIR’2009.
[citation][year=2009]Reyes N. R., Candeas P. V., Quesada F., Carabias J. J (2009).  “New algorithm based on spectral distance maximization to deal with the overlapping partial problem in note-event detection”. Signal Processing, Vol.  89, No. 8, pp. 1653-1660.
[citation][year=2009]V Rao, P Rao, Improving polyphonic melody extraction by dynamic programming based dual f0 tracking. Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009
[citation][year=2008]Canadas-Quesada, Francisco Jesus; Carabias-Orti, Julio Jose; Mata-Campos, Raul; Ruiz-Reyes, Nicolas; Vera-Candeas, Pedro (2008). “Polyphonic Piano Transcription Based on Spectral Separation”. 124th Audio Engineering Convention
[citation][year=2008]Martins L. G. (2008). A Computational Framework for Sound Segregation in Music Signals. PhD Thesis, University of Porto, Portugal.
[citation][year=2008]Oudtshoorn B. (2008). “Investigating the Feasibility of Near Real-Time Music Transcription on Mobile Devices”. Internal Report, University of Western Australia.

2004(3 publications)
[publication]Paiva, R.P. and António Dourado and Duarte, B. , "Quality Prediction in Pulp Bleaching: Application of a Neuro-Fuzzy System", Control Engineering Practice,  vol. 12,  pp. 587-594, 2004
[citation][year=2015]HTML] Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method
L Lin, Y Wang, J Teng, X Xi - Sensors, 2015 - mdpi.com
Abstract: The measurement of soil total nitrogen (TN) by hyperspectral remote sensing 
provides an important tool for soil restoration programs in areas with subsided land caused 
by the extraction of natural resources. This study used the local correlation maximization- ...
[citation][year=2014]Estimation of Arsenic Contamination in Reclaimed Agricultural Soils Using Reflectance Spectroscopy and ANFIS Model
K Tan, Y Ye, Q Cao, P Du… - Selected Topics in Applied …, 2014 - ieeexplore.ieee.org
Abstract—Heavy metal contamination from anthropogenic sources is a threat to human 
health. To assess the feasibility of predicting surface soil arsenic (As) concentration from 
hyperspectral reflectance measurement, three different regression algorithms are  ...
[citation][year=2009]Application of Fuzzy Controller for the Model
HA Zubar, G Kannan - Programmable Device Circuits and Systems, 2009 - ciitresearch.org
Abstract In day today's scenario it is very difficult to utilize the resources optimally ie with 
optimum input parameter to produce the optimum output products using the conventional 
control techniques, which found fall short of providing effective means of controlling the  ...
[citation][year=2006]Lyijynen, Anni (2006). "Performance assessment of bleaching line controls", MSc Thesis, Lappeenranta University of Technology, Department of Electrical Engineering, Finland.
[citation][year=2006]Vernieuwe H., De Baets B.  and Verhoest N.E.C. (2006). "Comparison of Clustering Algorithms in the Identification of Takagi"Sugeno Models: A Hydrological Case Study?, Fuzzy Sets and Systems, Vol. 157(21), pp. 2876-2896.
[citation][year=2006]Mercangoz M, Doyle FJ (2006).
"Model-based control in the pulp and paper industry", 
IEEE CONTROL SYSTEMS MAGAZINE 26 (4): 30-39 AUG 2006

[publication]Paiva, R.P. and António Dourado , "Interpretability and Learning in Neuro-Fuzzy Systems", Fuzzy Sets and Systems,  vol. 147,  pp. 17-38, 2004
[citation][year=2015]A New Fuzzy Neural System with Applications 
Y Chai, J Chen, W Luo - books.google.com
Abstract. Through a comprehensive study of existing fuzzy neural systems, this paper 
presents a Choquet integral-OWA operator based fuzzy neural system named AggFNS as a 
new hybrid method of CI, which has advantages in universal fuzzy inference operators  ...
[citation][year=2015]A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification
K ?apa, K Cpa?ka, AI Galushkin - Artificial Intelligence and Soft Computing, 2015 - Springer
Abstract In this paper a new approach for construction of neuro-fuzzy systems for nonlinear 
classification is introduced. In particular, we concentrate on the flexible neuro-fuzzy systems 
which allow us to extend notation of rules with weights of fuzzy sets. The proposed  ..
[citation][year=2015]Fuzzy rule base simplification using multidimensional scaling and constrained optimization
GE Tsekouras - Fuzzy Sets and Systems, 2015 - Elsevier
Abstract This paper proposes a novel approach for the development of highly accurate and 
interpretable fuzzy models with Gaussian fuzzy sets, under the framework of 
multidimensional scaling and non-linear constrained optimization. Upon the assumption  ..
[citation][year=2015]Establishment of EEG Index Related to Calmness
SAM Aris, N Sulaiman, MN Taib - … Science, Engineering and …, 2015 - ingentaconnect.com
Often, individuals with mental problems will be diagnosed via interview by the medical 
practitioners and will only refer to a specialist if the condition worsens. It will take some time 
and long period of diagnosis is required. This research is one of the stages in proposing  ...
[citation][year=2015]Identification and on-Line Validation of a pH Neutralization Process Using an Adaptive Network Based Fuzzy Inference System
AS Mota, MR Menezes, JE Schmitz… - Chemical …, 2015 - Taylor & Francis
ABSTRACT In this study, the application of Adaptive Neuro-Fuzzy Inference System 
architecture to build prediction models that represent the pH neutralization process is 
proposed. The dataset used to identify the process was obtained experimentally in a  ...
[citation][year=2015]A Novelty Detection Framework Based on Fuzzy Entropy for a Complex Manufacturing Process
A Gonzalez-Rodriguez, G Panoutsos, M Mahfouf… - Intelligent Systems' …, 2015 - Springer
Abstract In this paper a new Novelty Detection framework is presented, which is created by 
taking advantage of the Fuzzy Entropy property of Fuzzy Logic systems. The framework's 
aim is to create a linguistic-based feedback mechanism for advising the process users ( ...
[citation][year=2014]Ovarian cancer diagnosis using a hybrid intelligent system with simple yet convincing rules
D Wang, C Quek, GS Ng - Applied Soft Computing, 2014 - Elsevier
Abstract Ovarian cancer is the ninth most common cancer among women and ranks fifth in 
cancer deaths. Statistics show that the five-year survival rate is greater than 75% if diagnosis 
occurs before the cancer cells have spread to other organs (stage I), but it drops to 20%  ...
[citation][year=2014]Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives
F Lima, W Kaiser, IN da Silva, AAA de Oliveira - Applied Soft Computing, 2014 - Elsevier
Abstract Scalar and vector drives have been the cornerstones of control of industrial motors 
for decades. In both the elimination of mechanical speed sensor consists in a trend of 
modern drives. This work proposes the development of an adaptive neuro-fuzzy inference  ...
[citation][year=2014]Particle swarm optimization for ANFIS interpretability and accuracy
DP Rini, SM Shamsuddin, SS Yuhaniz - Soft Computing, 2014 - Springer
Abstract The strength of the adaptive neuro-fuzzy system (ANFIS) involves two contradictory 
requirements in a common fuzzy modeling problem, ie interpretability and accuracy. It is 
known that simultaneous optimization of accuracy and interpretability will improve  ...
[citation][year=2014]?? PSO-ANFIS ??????????????
??? ??? ??? - ??????????, 2014 - cqvip.com
???????(PSO) ??????????????(ANFIS) ??????, 
???????????, ????????????????. ?????????????
???????, ???????, ?????????????. ???4 ??????? ...
[citation][year=2013]Chen, Chuen-Jyh, Shih-Ming Yang, and Chu-Yun Chen (2013). "Development of a rule selection mechanism by using neuro-fuzzy methodology for structural vibration suppression." Journal of Intelligent and Fuzzy Systems.
[citation][year=2013]J Contreras (2013). “Generating Singleton Fuzzy Models from Data with Interpretable Partition”, Advanced Materials Research, 2013, Volume 629, pp. 784-791
[citation][year=2013]Jazebi, Fateme, and Abbas Rashidi. "An automated procedure for selecting project managers in construction firms." Journal of Civil Engineering and Management 19.1 (2013): 97-106.

[citation][year=2013]Al-Jamimi, Hamdi A.; Ahmed, Moataz, "Machine Learning-Based Software Quality Prediction Models: State of the Art," Information Science and Applications (ICISA), 2013 International Conference on , vol., no., pp.1,4, 24-26 June 2013
[citation][year=2013]Juang, C.-F.; Juang, K.-J., "Reduced Interval Type-2 Neural Fuzzy System Using Weighted Bound-Set Boundary Operation for Computation Speedup and Chip Implementation," Fuzzy Systems, IEEE Transactions on , vol.21, no.3, pp.477,491, June 2013
[citation][year=2013]LAO Chao-hui;  WU Qun-qi;  WANG Fang (2013). “Division method of node level for highway network”, Traffic and Transportation Engineering, 2, 80-85
[citation][year=2013]K. VIJAYA SRI, K. USHA RANI (2013), “NEURO-FUZZY SYSTEMS AND APPLICATIONS – A REVIEW”, PUBLICATIONS OF PROBLEMS & APPLICATION IN ENGINEERING RESEARCH, Vol 04, Special Issue01; 2013
[citation][year=2013]Shamsuddin, S. M., Rini, D. P., & Yuhaniz, S. S. (2013). Balanced the Trade-offs problem of ANFIS Using Particle Swarm Optimisation. AWERProcedia Information Technology and Computer Science, 4(2).
[citation][year=2012]RJ Alitappeh, KJ Saravi, F Mahmoudi (2012). “A New Illumination Invariant Feature Based on SIFT Descriptor in Color Space”, Procedia Engineering, Volume 41, 2012, Pages 305–311
[citation][year=2012]Carrillo S., Contreras J., Vergara E. (2012?), “UNA NUEVA TÉCNICA PARA IDENTIFICACIÓN DE EMBARCACIONES”. Technical Report.
[citation][year=2012]Juan, Contreras; William, Cuadrado; David, Munoz; George, Archbold; Delgado; Delgado, Geraldine; Vladimir, Diaz, "Automatic ship hull inspection using fuzzy logic," Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE , vol., no., pp.1,5, 9-11 Oct. 2012, doi: 10.1109/AIPR.2012.6528214
[citation][year=2012]Juang, C.-F.; Chen, C.-Y., (2012). "Data-Driven Interval Type-2 Neural Fuzzy System With High Learning Accuracy and Improved Model Interpretability," Cybernetics, IEEE Transactions on , vol.PP, no.99, pp.1,15, 0
[citation][year=2012]SJ Lee, XJ Zeng (2012). “A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme”, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
[citation][year=2012]F Lima, W Kaiser, I Nunes da Silva, A A de Oliveira (2012). “Speed Neuro-fuzzy Estimator Applied To Sensorless Induction Motor Control”, IEEE Latin America Transactions, Vol 10, Issue: 5, pp. 2065 – 2073
[citation][year=2012]Rezaee, Babak. "Rule base simplification by using a similarity measure of fuzzy sets." Journal of Intelligent and Fuzzy Systems 23.5 (2012): 193-201.
[citation][year=2012]Solis, Adrian Rubio, and George Panoutsos. "Granular Computing Neural-Fuzzy Modelling: A Neutrosophic Approach." Applied Soft Computing (2012).

[citation][year=2012]Rosemann, N. (2012). Beherrschbares Online-Lernen durch inkrementelle, lokale Regularisierung.
[citation][year=2011]Contreras J., Muñoz D. (2011). “Algoritmo para generación de Controladores Difusos Interpretables. Aplicación a un proceso de presión”, ITECKNE, Vol. 8, No. 2, pp. 177-182 
[citation][year=2011]Herrera L.J., Pomares H., Rojas I., Guillén A. Awad, M. and Valenzuela, O. (2011). “The TaSe-NF model for function approximation problems: Approaching local and global modelling”. Fuzzy Sets and Systems, Vol. 171 (1), pp. 1-21.
[citation][year=2011]Liang Hui; Tong Chaonan; Peng Kaixiang; , "Data-driven modeling and online algorithm for hot rolling process," Control Conference (CCC), 2011 30th Chinese , vol., no., pp.1560-1564, 22-24 July 2011
[citation][year=2011]CF Juang, KJ Juang (2011). “Reduced Interval Type-2 Neural Fuzzy System Using Weighted Bound-Set Boundary Operation for Computation Speedup and Chip Implementation”, IEEE Transactions on Fuzzy Systems (accepted).
[citation][year=2011]Jianfeng Liu; Weihua Gui; Zhiwu Huang; Youmei Liu; Yuxiang Liu; , "Modelling and model optimization of locomotive brake control system," Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on , vol., no., pp.1256-1260, 16-18 Dec. 2011
[citation][year=2011]Mohamed, Raja Ben, Hichem Ben Nasr, and Faouzi M'Sahli. "A multimodel approach for a nonlinear system based on neural network validity." International Journal of Intelligent Computing and Cybernetics 4.3 (2011): 331-352.
[citation][year=2011]Torun Y. and Tohumo?lu G. (2011). “Designing simulated annealing and subtractive clustering based fuzzy classifier”. Applied Soft Computing, Vol. 11( 2), pp. 2193-2201
[citation][year=2011]Wróbel, Micha?. (2011). "Zastosowanie neuronowych systemów rozmytych w chemii.". PhD Thesis, University of Katowice, Poland.

[citation][year=2010]Bai, R., Tong, S.-C., Chai, T.-Y. Kongzhi yu Juece (2010). “Fuzzy rules extraction from process data for operation control of the raw slurry blending process”, Control and Decision 25 (7), pp. 1015-1020. ??, ???, and ???. "??????????????????????." ????? 25.7 (2010).
[citation][year=2010]Gegov A. (2010). “Fuzzy Netwroks for Complex Systems”. Springer.
[citation][year=2010]Herrera L.J., Pomares H., Rojas I., Guillén A. Awad, M. and Valenzuela, O. (2010). “The TaSe-NF model for function approximation problems: Approaching local and global modelling”. Fuzzy Sets and Systems (in press).
[citation][year=2010]Li S.-T., Kuo S.-C. And Tsai F.-C. (2010). “An intelligent decision-support model using FSOM and rule extraction for crime prevention”. Expert Systems with Applications, Vol. 37(10), pp. 7108-7119. 
[citation][year=2010]Contreras J. (2010). “IDENTIFICATION AND FUZZY CONTROL OF A TWO TANK SYSTEM”. Revista Colombiana de Tecnologías de Avanzada., Vol. 2(16), pp. 43-49
[citation][year=2010]Contreras J., Martinez L. B., Puerta Y. V. (2010). “Clasificador Difuso para Diagnóstico de Enfermedades”. Revista Tecno Lógicas, No. 25, pp. 201-220.
[citation][year=2010]Vélez, MA; Sanchez, O; Romero, S; Andujar, JM (2010). “A new methodology to improve interpretability in neuro-fuzzy TSK models”. APPLIED SOFT COMPUTING 10 (2): 578-591 MAR 2010.
[citation][year=2010]"??????????????????????????." (2010).
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[publication]Malheiro, R., and Paiva, R.P. and Antonio Jose Mendes and Mendes, T. and Amilcar Cardoso , "Sistemas de Classificação Musical com Redes Neuronais", Gestão e Desenvolvimento,  vol. 12,  pp. 167-195, 2004
[citation][year=2010]Barreira, L., Unsupervised automatic music genre classification. Dissertação de Mestrado, Universidade Nova de Lisboa, 2010.
[citation][year=2007]Moraes R. B. (2007). &#8220;ANÁLISE E SÍNTESE DE INSTRUMENTOS MUSICAIS DE SOPRO DE MADEIRA&#8221;. MSc Thesis, Universidade Federal do Rio de Janeiro, Brazil.
[citation][year=2005]Oliveira P. (2005). &#8220;Caracterização da Ocupação do Solo com Recurso à Aplicação de Modelos de Misturas Espectrais em Séries Multi-Temporais de Imagens Modis&#8221;. MSc Thesis, ISEGI, New University of Lisbon, Junho 2005.

2001(1 publication)
[publication]Paiva, R.P. and António Dourado , "Structure and Parameter Learning of  Neuro-Fuzzy Systems: A Methodology and a Comparative Study", Journal of Intelligent and Fuzzy Systems,  vol. 11,  pp. 147-161, 2001
[citation][year=2015]Optimal seismic design of reinforced concrete structures under time-history earthquake loads using an intelligent hybrid algorithm
S Gharehbaghi, M Khatibinia - Earthquake Engineering and Engineering …, 2015 - Springer
Abstract A reliable seismic-resistant design of structures is achieved in accordance with the 
seismic design codes by designing structures under seven or more pairs of earthquake 
records. Based on the recommendations of seismic design codes, the average time-
[citation][year=2012]1. M. Khatibinia, J. Salajegheh, M.J. Fadaee and E. Salajegheh (2012). “PREDICTION OF FAILURE PROBABILITY FOR SOILSTRUCTURE INTERACTION SYSTEM USING MODIFIED ANFIS BY HYBRID OF FCM-FPSO”. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING) VOL. 13, NO. 1 (2012),PAGES 1-27
[citation][year=2011]Herrera L.J., Pomares H., Rojas I., Guillén A. Awad, M. and Valenzuela, O. (2010). “The TaSe-NF model for function approximation problems: Approaching local and global modelling”. Fuzzy Sets and Systems, Vol. 171 (1), pp. 1-21.
[citation][year=2011]Dovžan D. and Škrjanc I. (2011). “Recursive clustering based on a Gustafson–Kessel algorithm”. Evolving Systems, Vol. 2(1), pp. 15-24.

[citation][year=2010]1. CHAIN MODEL AS A TOOL FOR IMPROVING QUALITY OF A RULE BASE OF A FUZZY MODEL
[citation][year=2009]Gholizadeh S. and Salajegheh E. (2009). "Optimal design of structures subjected to time history loading by swarm intelligence and an advanced metamodel?. Computer Methods in Applied Mechanics and Engineering, Vol. 198, No. 37-40, pp. 2936-2949.
[citation][year=2007]Herrera LJ, Pomares H, Rojas I, et al. (2007). "Multigrid-based fuzzy systems for time series prediction: CATS competition", 
NEUROCOMPUTING 70 (13-15): 2410-2425 Sp. Iss. SI AUG 2007
[citation][year=2006]Vemieuwe H, De Baets B, Verhoest NEC
Comparison of clustering algorithms in the identification of Takagi-Sugeno models: A hydrological case study 
FUZZY SETS AND SYSTEMS 157 (21): 2876-2896 NOV 1 2006
[citation][year=2005]Herrera L. J., Pomares H., Rojas I., Valenzuela O. and Prieto A. (2005). "TaSe, a Taylor Series-Based Fuzzy System Model that Combines Interpretability and Accuracy?. Fuzzy Sets and Systems, Vol. 153(3), pp. 403-427.
[citation][year=2004]Herrera, L.J.   Pomares, H.   Rojas, I.   Gonzalez, J.   Awad, M.   Herrera, A.  (2004). "Multigrid-based fuzzy systems for time series prediction: CATS competition", Proceedings of the IEEE International Joint Conference on Neural Networks.

Conference Articles
2019(3 publications)
[publication]Paiva, R.P. and Rocha, B.M.M. and Teixeira, C. and Henriques, J. and P. Carvalho , "Feature Engineering for the Detection and Classification of Respiratory Sounds", in XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, 2019

[publication]Pereira, P. and Paiva, R.P. and al., e. , "Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering", in 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2019, 2019

[publication]Pereira, P. and Paiva, R.P. and al., e. , "Image Segmentation using Gradient based Histogram Thresholding for Skin Lesion Delineation", in 6th International Conference on Bioimaging – BIOIMAGING 2019, 2019

2018(5 publications)
[publication]João T. Fernandes and Rocha, B.M.M. and Paiva, R.P. and Tiago Cruz , "Using Low Cost Embedded Systems for Respiratory Sounds Auscultation", in 15th International Symposium on Wireless Communication Systems (ISWCS 2018), 2018

[publication]Panda, Renato and Malheiro, R., and Paiva, R.P. , "Musical Texture and Expressivity Features for Music Emotion Recognition", in 19th International Society for Music Information Retrieval Conference – ISMIR 2018, 2018

[publication]Pedroso, A. and Lopes, B.L. and Correia, J. and Araujo, F. and Jorge Cardoso and Paiva, R.P. , "A Data Mining Service for Non-Programmers", in 10th International Conference on Knowledge Discovery and Information Retrieval – KDIR 2018, 2018

[publication]Lopes, B.L. and Pedroso, A. and Correia, J. and Araujo, F. and Jorge Cardoso and Paiva, R.P. , "DataScience4NP - A Data Science Service for Non-Programmers", in 10º Simpósio de Informática – INForum 2018, 2018

[publication]Pereira, P. and Paiva, R.P. and al., e. , "Transfer Learning of ImageNet Neural Network for Pigmented Skin Lesion Detection", in 24th Portuguese Conference on Pattern Recognition – RECPAD 2018, 2018

2017(8 publications)
[publication]Mendes, L. and Chouvarda, I. and Maglaveras, N. and Teixeira, C. and Henriques, J. and Carvalho, P. and Paiva, R.P. , "Detection of wheezes and crackles using a multi-feature approach", in 5th Portuguese BioEngineering Meeting, 2017

[publication]Rocha, B.M.M. and Mendes, L. and Paiva, R.P. and Chouvarda, I. and P. Carvalho and Natsiavas, P. and Maglaveras, N. and al., e. , "? Respiratory Sound Database for the Development of Automated Classification", in International Conference on Biomedical and Health Informatics, 2017

[publication]Rocha, B.M.M. and Mendes, L. and Chouvarda, I. and P. Carvalho and Paiva, R.P. , "Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis", in International Conference on Biomedical and Health Informatics, 2017

[publication]Filipe, R. and Paiva, R.P. and Araujo, F. , "Client-Side Black-Box Monitoring for Web Sites", in The 16th IEEE International Symposium on Network Computing and Applications (NCA 2017), 2017

[publication]Couceiro, R. and Henriques, J. and Paiva, R.P. and Antunes, M. and P. Carvalho , "Physiologically Motivated Detection of Atrial Fibrillation", in 39th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2017, 2017

[publication]Rocha, B.M.M. and Mendes, L. and Couceiro, R. and Henriques, J. and P. Carvalho and Paiva, R.P. , "Detection of Explosive Cough Events in Audio Recordings by Internal Sound Analysis", in 39th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2017, 2017

[publication]P. Carvalho and Mendes, L. and Maglaveras, N. and Chouvarda, I. and Henriques, J. and Teixeira, C. and Paiva, R.P. , "Machine Learning and Multiparametric Analysis of Cardiorespiratory Biosignals and Environmental Parameters", in IEEE International Conference on Biomedical and Health Informatics – BHI 2017, 2017

[publication]L., L. and Vogt, B. and Mendes, L. and Chouvarda, I. and Paiva, R.P. and Maglaveras, N. and Frerichs, I. and al., e. , "Inhomogenität der regionalen Ventilationsverteilung während der forcierten Inspiration gemessen mittels elektrischer Impedanztomografie bei COPD-Patienten", in 58th Congress of the German Society for Pneumology and Respiratory Medicine – DGP 2017, 2017

2016(12 publications)
[publication]Malheiro, R., and Panda, Renato and Paulo Gomes and Paiva, R.P. , "Classification and Regression of Music Lyrics: Emotionally-Significant Features", in 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR’2016, 2016

[publication]Malheiro, R., and Panda, Renato and Paulo Gomes and Paiva, R.P. , "Bi-Modal Music Emotion Recognition: Novel Lyrical Features and Dataset", in 9th International Workshop on Music and Machine Learning – MML’2016 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2016, 2016
[citation][year=2017]Çano, E., Morisio, M.. "MoodyLyrics: A  Sentiment  Annotated  Lyrics  Dataset. International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence", Hong Kong, March, 2017.

[publication]P. Carvalho and Henriques, J. and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "LINK: Linking Excellence in Biomedical knowledge and Computational Intelligence Research for personalized management of CVD within PHC", in Pan American Health Care Exchanges – PAHCE’2016, 2016

[publication]Henriques, J. and P. Carvalho and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "Research on algorithms and models for pHealth applications: opportunities and challenges", in Pan American Health Care Exchanges – PAHCE’2016, 2016

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Henriques, J. and al., e. , "Evaluation of a PPG-based algorithm for prediction of Neurally Mediated Syncope", in IEEE International Conference on Biomedical and Health Informatics – BHI’2016, 2016

[publication]P. Carvalho and Henriques, J. and Teixeira, C. and Couceiro, R. and Rocha, T. and Mendes, L. and Chouvarda, I. and Maglaveras, N. and Paiva, R.P. and al., e. , "Biodata analytics for COPD", in IEEE International Conference on Biomedical and Health Informatics – BHI’2016, 2016

[publication]P. Carvalho and Henriques, J. and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "Opportunities and Challenges for Research on Intelligent Algorithms for Phealth", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, 2016

[publication]Trenk, F. and Mendes, L. and P. Carvalho and Paiva, R.P. and Teixeira, C. and Vogt, B. and Frerichs, I. , "Evaluation of Lung Ventilation Distribution in Chronic Obstructive Pulmonary Disease Patients Using the Global Inhomogeneity Index", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016

[publication]Leal, A. and Chouvarda, I. and Maglaveras, N. and Henriques, J. and Paiva, R.P. and P. Carvalho and Teixeira, C. , "Detection of different types of noise in lung sounds", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016

[publication]Mendes, L. and Chouvarda, I. and Maglaveras, N. and Henriques, J. and P. Carvalho and Paiva, R.P. and al., e. , "Detection of crackle events using a multi-feature approach", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, 2016

[publication]Nunes, D. and Leal, A. and Henriques, J. and Paiva, R.P. and P. Carvalho and Teixeira, C. and Couceiro, R. , "An accurate and real-time ECG noise detection methodology", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, 2016

[publication]Malheiro, R., and Gonçalo Oliveira, H,  and Paulo Gomes and Paiva, R.P. , "Keyword-Based Approach for Lyrics Emotion Variation Detection", in 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR’2016, November 2016, 2016
[citation][year=2019]Parisi, L., Francia, S., Olivastri, S., and Tavella, M. S. (2019). Exploiting synchronized lyrics and vocal features for music emotion detection. ArXiv e-prints.
[citation][year=2017]Vale, P. M. F. (2017). The role of artist and genre on music emotion recognition. Master’s thesis, Universidade Nova de Lisboa.

2015(7 publications)
[publication]Leal, A. and Teixeira, C. and Chouvarda, I. and Maglaveras, N. and Henriques, J. and Paiva, R.P. and P. Carvalho , "A multi-feature approach for noise detection in lung sounds", in International Conference on Biomedical and Health Informatics (ICBHI’2015), 2015

[publication]Couceiro, R. and P. Carvalho and Henriques, J. and Paiva, R.P. and Antunes, M. , "Detection of Atrial Fibrillation using 12-lead ECG for Mobile Applications", in International Conference on Biomedical and Health Informatics (ICBHI’2015), 2015

[publication]Vogt, B. and Mendes, L. and Chouvarda, I. and Paiva, R.P. and Maglaveras, N. and al., e. , "Influence of torso position on chest examinations by electrical impedance tomography", in 16th International Conference on Biomedical Applications of Electrical Impedance Tomography, 2015

[publication]Mendes, L. and Chouvarda, I. and Maglaveras, N. and Teixeira, C. and P. Carvalho and Henriques, J. and Paiva, R.P. and al., e. , "Detection of wheezes using their signature in the spectrogram space and musical features", in 37th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2015, 2015
[citation][year=2016]Bokov, P., Mahut, B., Flaud, P. and Delclaux, C., 2016. Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population. Computers in biology and medicine, 70, pp.40-50.

[publication]Paiva, R.P. and Sapata, T. and Henriques, J. and Quintal, I. and Baptista, R. and P. Carvalho and al., e. , "Multi-Channel Audio-Based Estimation of the Pre-Ejection Period", in 37th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2015, 2015

[publication]P. Carvalho and Paiva, R.P. and Henriques, J. and D. Kumar and Couceiro, R. and Sapata, T. and Quintal, I. and Baptista, R. and Antunes, M. , "Acoustic Cardiac Signal Analysis : a toolbox", in 3rd Experiment@International Conference, 2015

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Henriques, J. and Willems, S. and Jungen, C. and Meyer, C. , "Algorithm for real-time prediction of neurally mediated syncope integrating indexes of autonomic modulation", in 2015 Computing in Cardiology Conference (CinC), 2015

2014(6 publications)
[publication]Chouvarda, I. and Philip, N.Y. and Natsiavas, P. and Kilintzis, V. and Sobnath, D. and Kayyali, R. and Henriques, J. and Paiva, R.P. and Raptopoulos, A. and Chételat, O. and Maglaveras, N. , "WELCOME – Innovative Integrated Care platform using Wearable Sensing and Smart Cloud Computing for COPD patients with Comorbidities", in 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2014, 2014

[publication]Chouvarda, I. and Kilintzis, V. and Maglaveras, N. and Philip, N.Y. and Mendes, L. and Lúcio, C. and Teixeira, C. and Henriques, J. and P. Carvalho and Paiva, R.P. and Chételat, O. , "Combining Pervasive Technologies and Cloud Computing for COPD and Comorbidities Management", in 4th International Conference on Wireless Mobile Communication and Healthcare, 2014
[citation][year=2015]Chouvarda, Ioanna G., et al. "Connected health and integrated care: Toward new models for chronic disease management." Maturitas (2015).
[citation][year=2015]Beredimas, Nikolaos, et al. "A reusable ontology for primitive and complex HL7 FHIR data types." Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. IEEE, 2015.

[publication]Lúcio, C. and Teixeira, C. and Henriques, J. and P. Carvalho and Paiva, R.P. , "Voluntary Cough Detection by Internal Sound Analysis", in 7th International Conference on BioMedical Engineering and Informatics – BMEI 2014, 2014
[citation][year=2016]Pramono, R.X.A., Imtiaz, S.A. and Rodriguez-Villegas, E., 2016. A Cough-Based Algorithm for Automatic Diagnosis of Pertussis. PloS one, 11(9), p.e0162128.

[publication]Mendes, L. and P. Carvalho and Teixeira, C. and Paiva, R.P. and Henriques, J. , "Robust features for detection of crackles: an exploratory study", in 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2014, 2014
[citation][year=2016]Chouvarda, I., Kilintzis, V., Beredimas, N., Natsiavas, P., Perantoni, E., Vogiatzis, I., Vaimakakis, V. and Maglaveras, N., 2016, February. Clinical flows and decision support systems for co-ordinated and integrated care in COPD. In Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on (pp. 477-480). IEEE.

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Henriques, J. and Eickholt, C. and Brinkmeyer, C. and Kelm, M. and Meyer, C. , "A Novel Multi-Parametric Algorithm for Faint Prediction Integrating Indices of Cardiac Inotropy and Vascular Tone", in 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2014, 2014

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Eickholt, C. and Brinkmeyer, C. and Kelm, M. and Meyer, C. , "Neurally Mediated Syncope Prediction Based on Changes of Cardiovascular Performance Surrogates", in 7th International Conference on BioMedical Engineering and Informatics (BMEI 2014), 2014

2013(6 publications)
[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Muehlsteff, J. . and Henriques, J. , "Characterization of Surrogate Parameters for Blood Pressure Regulation in Neurally-Mediated Syncope", in EMBS'2013, 2013

[publication]Malheiro, R., and Panda, Renato and Paulo Gomes and Paiva, R.P. , "Music Emotion Recognition from Lyrics: A Comparative Study", in 6th International Workshop on Machine Learning  and Music, 2013
[citation][year=2017]Çano, E., Morisio, M.. "MoodyLyrics: A  Sentiment  Annotated  Lyrics  Dataset. International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence", Hong Kong, March, 2017.

[publication]Rocha, B.M.M. and Panda, Renato and Paiva, R.P. , "Music Emotion Recognition: The Importance of Melodic Features", in 6th International Workshop on Music and Machine Learning – MML’2013 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2013, Prague, Czech Republic, 2013
[citation][year=2016]Tomar D., Agarwal S. (2016) Multi-label Classifier for Emotion Recognition from Music. In: Nagar A., Mohapatra D., Chaki N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 43. Springer, New Delhi
[citation][year=2015]Lee J, Kim D-W. Ranking Tag Pairs for Music Recommendation Using Acoustic Similarity. International Journal of Fuzzy Logic and Intelligent Systems. 2015;15(3):159-165. doi:10.5391/IJFIS.2015.15.3.159
[citation][year=2015]Sundararajoo, Kohshelan (2015) "Improvement of audio feature extraction techniques in traditional Indian string musical instrument". Masters thesis, Universiti Tun Hussein Onn Malaysia.

[publication]Panda, Renato and Rocha, B.M.M. and Paiva, R.P. , "Dimensional Music Emotion Recognition: Combining Standard and Melodic Audio Features", in 10th International Symposium on Computer Music Multidisciplinary Research – CMMR’2013, Marseille, France., 2013
[citation][year=2016]Wang, Ju-Chiang, Yi-Hsuan Yang, and Hsin-Min Wang. "Affective music information retrieval." Emotions and Personality in Personalized Services. Springer International Publishing, 2016. 227-261.
[citation][year=2016]Witteveen, Jeroen. "Predicting Relevance of Emotion Tags". MSc thesis. Faculty of Humanities, Utrecht University, 2016.
[citation][year=2016]Weihs, Claus, et al.,  "Music Data Analysis: Foundations and Applications." Taylor & Francis. (2016). ISBN: 978-1-4987-1956-8 / 978-1-4987-1957-5
[citation][year=2016]Van Balen, J. M. H. "Audio description and corpus analysis of popular music". PhD Thesis. Utrecht University, 2016.
[citation][year=2015]Vatolkin, Igor, Günter Rudolph, and Claus Weihs. "Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection." International Conference on Evolutionary and Biologically Inspired Music and Art. Springer International Publishing, 2015.
[citation][year=2015]Dufour, I. (2015). Improving Music Mood Annotation Using Polygonal Circular Regression. MSc Thesis. Department of Computer Science, University of Victoria, Victoria, BC, Canada.

[publication]Panda, Renato and Malheiro, R., and Rocha, B.M.M. and António Oliveira and Paiva, R.P. , "Multi-Modal Music Emotion Recognition: A New Dataset, Methodology and Comparative Analysis", in 10th International Symposium on Computer Music Multidisciplinary Research – CMMR’2013, Marseille, France., 2013
[citation][year=2016]Wang, Cheng-I., Jennifer Hsu, and Shlomo Dubnov. "Machine Improvisation with Variable Markov Oracle: Toward Guided and Structured Improvisation." Computers in Entertainment (CIE) 14.3 (2016): 4.
[citation][year=2016]Ricardo Scholz, Geber Ramalho, Giordano Cabral. "Cross Task Study on MIREX Recent Results: An Index for Evolution Measurement and Some Stagnation Hypotheses". ISMIR 2016: 372-378
[citation][year=2016]Weihs, Claus, et al., "Music Data Analysis: Foundations and Applications." Taylor & Francis. (2016). ISBN: 978-1-4987-1956-8 / 978-1-4987-1957-5
[citation][year=2015]Wang, Ju-Chiang, et al. "Modeling the affective content of music with a Gaussian mixture model." IEEE Transactions on Affective Computing 6.1 (2015): 56-68.
[citation][year=2015]Ren, Jia-Min, Ming-Ju Wu, and Jyh-Shing Roger Jang. "Automatic music mood classification based on timbre and modulation features." IEEE Transactions on Affective Computing 6.3 (2015): 236-246.
[citation][year=2015]Baniya, Babu Kaji, and Choong Seon Hong. "Music Mood Classification using Reduced Audio Features." (2015): 915-917.
[citation][year=2015]WONG, C. M. (2015). "User Customization for Music Emotion Classification using Online Sequential Extreme Learning Machine". (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.
[citation][year=2014]Sturm, Bob L. "A simple method to determine if a music information retrieval system is a “horse”." IEEE Transactions on Multimedia 16.6 (2014): 1636-1644.
[citation][year=2014]Ramamurthy, Karthikeyan Natesan, et al. "Consensus inference with multilayer graphs for multi-modal data." Signals, Systems and Computers, 2014 48th Asilomar Conference on. IEEE, 2014.

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Muehlsteff, J. . , "Detection of motion artifacts in photoplethysmographic signals: Algorithms comparison", in 1st IFMBE International Conference on Health Informatics – ICHI’2013, Vilamoura, Portugal, 2013

2012(5 publications)
[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Antunes, M. and Quintal, I. and Muehlsteff, J. . , "Multi-Gaussian fitting for the assessment of left ventricular ejection time from the Photoplethysmogram", in 34th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2012, 2012
[citation][year=2014]Wang, Lu, et al. "Multi-Gaussian fitting for pulse waveform using Weighted Least Squares and multi-criteria decision making method." Computers in biology and medicine 43.11 (2013): 1661-1672.
[citation][year=2013]Lu Wang, Lisheng Xu, Shuting Feng, Max Q.-H. Meng, Kuanquan Wang (2013), Multi-Gaussian fitting for pulse waveform using Weighted Least Squares and multi-criteria decision making method, Computers in Biology and Medicine, Available online 21 August 2013.
[citation][year=2013]Wang, Lu, et al. "Multi-Gaussian fitting for pulse waveform using Weighted Least Squares and multi-criteria decision making method." Computers in biology and medicine 43.11 (2013): 1661-1672.

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Muehlsteff, J. . , "Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis", in 34th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2012, 2012

[publication]Panda, Renato and Paiva, R.P. , "Music Emotion Classification: Analysis of a Classifier Ensemble Approach", in 5th International Workshop on Music and Machine Learning – MML’2012 – in conjunction with the 19th International Conference on Machine Learning – ICML’2012, 2012
[citation][year=2016]Saim Shin, Sei-Jin Jang, Donghyun Lee, Unsang Park and Ji-Hwan Kim, "Brainwave-based Mood Classification Using Regularized Comm," KSII Transactions on Internet and Information Systems, vol. 10, no. 2, pp. 807-824, 2016. DOI: 10.3837/tiis.2016.02.020
[citation][year=2013]1. Piva, R. (2013). Combining timbric and rhythmic features for semantic music tagging. MSc Thesis. University of Padova, Italy.

[publication]Panda, Renato and Paiva, R.P. , "Music Emotion Classification: Dataset Acquisition and Comparative Analysis", in 15th International Conference on Digital Audio Effects – DAFx’12, 2012
[citation][year=2015]Dufour, I. (2015). Improving Music Mood Annotation Using Polygonal Circular Regression. MSc Thesis. Department of Computer Science, University of Victoria, Victoria, BC, Canada.
[citation][year=2014]Baume, Chris, et al. "Selection of audio features for music emotion recognition using production music." Audio Engineering Society Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society, 2014.
[citation][year=2014]Xu, Jieping, et al. "Source separation improves music emotion recognition." Proceedings of International Conference on Multimedia Retrieval. ACM, 2014.
[citation][year=2014]Lee, Jin Ha, and Xiao Hu. "Cross-cultural similarities and differences in music mood perception." iConference 2014 Proceedings (2014).
[citation][year=2014]2. da Costa, DMR. (2014, November). Effects of music preference and selection on stress management. MSc Thesis. University of Minho.
[citation][year=2013]1. Baume, C. (2013, May). Evaluation of Acoustic Features for Music Emotion Recognition. In Audio Engineering Society Convention 134. Audio Engineering Society.
[citation][year=2013]Saari, Pasi, et al. "Using semantic layer projection for enhancing music mood prediction with audio features." Sound and Music Computing Conference, Stockholm, Sweden. 2013.

[publication]Panda, Renato and Paiva, R.P. , "MIREX 2012: Mood Classifcation Task Submission", in Music Information Retrieval Evaluation eXchange - MIREX'2012, 2012
[citation][year=2013]Roberto Piva. Combining timbric and rhythmic features for semantic music tagging. Ingegneria dell'Informazione e Ingegneria Elettrica, Università di Padova. MSc Thesis (2013)

2011(11 publications)
[publication]D. Kumar and P. Carvalho and Antunes, M. and Paiva, R.P. and Henriques, J. , "AN ADAPTIVE APPROACH TO ABNORMAL HEART SOUND SEGMENTATION", in IEEE-ICASSP, 2011
[citation][year=2013]Amir Mohammad Amiri and Giuliano Armano (2013). “Segmentation and Feature Extraction of Heart Murmurs in Newborns”, Journal of Life Sciences and Technologies, Vol. 1, No. 2, June 2013.
[citation][year=2013]Antipolis, Sophia. Segmentation et Classification des signaux non-stationnaires. Diss. Université de Nice Sophia Antipolis
[citation][year=2012]1. Ali MOUKADEM (2012), " Segmentation et Classification des signaux non-stationnaires", PhD Thesis, Université de Haute Alsace, France.
[citation][year=2012]Barabasa, Constantin, Maria Jafari, and Mark D. Plumbley. "A robust method for S1/S2 heart sounds detection without ecg reference based on music beat tracking." Electronics and Telecommunications (ISETC), 2012 10th International Symposium on. IEEE, 2012.
[citation][year=2011]Moukadem, Ali. Segmentation et classification des signaux non-stationnaires: application au traitement des sons cardiaque et à l'aide au diagnostic. Diss. Université de Haute Alsace-Mulhouse, 2011.

[publication]P. Carvalho and Paiva, R.P. and Henriques, J. and Antunes, M. , "Robust Characteristic Points for ICG: Definition and Comparative Analysis", in Biosignals - International Conference on Bio-inspired Systems and Signal Processing, 2011
[citation][year=2013]Ulbrich, M., et al. "Evaluation of a swine model for impedance cardiography—a feasibility study." Lecture Notes on Impedance Spectroscopy 4 (2013): 39.
[citation][year=2013]Ulbrich, Mark, et al. "Feasibility of Impedance Cardiography to Assess Hemodynamic Changes and Fluid Loss Related to Pleural Drainage."
[citation][year=2012]Ali MOUKADEM (2012), " Segmentation et Classification des signaux non-stationnaires", PhD Thesis, Université de Haute Alsace, France.
[citation][year=2012]M Ulbrich, J Muhlsteff, P Paluchowski… - Lecture Notes on …, 2012 - books.google.com, “Erythrocyte orientation and lung conductivity analysis with a high temporal resolution FEM model for bioimpedance measurements”

[citation][year=2012]Ulbrich, Mark, et al. "Erythrocyte orientation and lung conductivity analysis with a high temporal resolution FEM model for bioimpedance measurements." Lecture Notes on Impedance Spectroscopy: Measurement, Modeling and Applications 3 (2012): 71.

[publication]P. Carvalho and Paiva, R.P. and D. Kumar and J. P. Ramos and Santos, S. and Henriques, J. , "A Framework for Acoustic Cardiac Signal Analysis", in Biosignals - International Conference on Bio-inspired Systems and Signal Processing, 2011
[citation][year=2011]1. Silva, N. (2011). Phonocardiogram noise detection in realistic environments. MSc Thesis, University of Porto, Portugal.

[publication]Panda, Renato and Paiva, R.P. , "Using Support Vector Machines for Automatic Mood Tracking in Audio Music", in 130th Audio Engineering Convention - AES 130, 2011
[citation][year=2016]Chau, Chuck-jee, Ronald Mo, and Andrew Horner. "The Emotional Characteristics of Piano Sounds with Different Pitch and Dynamics." Journal of the Audio Engineering Society 64.11 (2016): 918-932.
[citation][year=2016]Aljanaki, A. (2016) "Music and emotion: representation and computational modeling" .PhD Thesis, Utrecht University. ISBN: 978-94-6328-083-9
[citation][year=2015]Dufour, I. (2015). Improving Music Mood Annotation Using Polygonal Circular Regression. MSc Thesis. Department of Computer Science, University of Victoria, Victoria, BC, Canada.
[citation][year=2015]Imbrasaite, Vaiva. "Continuous dimensional emotion tracking in music". PhD thesis. University of Cambridge, 2015.
[citation][year=2015]Plewa, M., Kostek, B. (2015) "Music Mood Visualization Using Self-Organizing Maps". Archives of Acoustics. Volume 40, Issue 4, Pages 513–525, ISSN (Online) 2300-262X, DOI: 10.1515/aoa-2015-0051, December 2015.
[citation][year=2015]C. H. Chung and H. Chen, "Vector representation of emotion flow for popular music," Multimedia Signal Processing (MMSP), 2015 IEEE 17th International Workshop on, Xiamen, 2015, pp. 1-6.
doi: 10.1109/MMSP.2015.7340797
[citation][year=2014]Imbrasait?, Vaiva, Tadas Baltrušaitis, and Peter Robinson. "CCNF for continuous emotion tracking in music: Comparison with CCRF and relative feature representation." Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on. IEEE, 2014.
[citation][year=2014]Baltrušaitis, Tadas. Automatic facial expression analysis. PhD thesis. University of Cambridge, 2014.
[citation][year=2013]Amanda Cohen Mostafavi, Zbigniew Ras and Alicja Wieczorkowska (2013). “Developing Personalized Classifiers for Retrieving Music by Mood”, ECML/PKDD 2013
[citation][year=2013]Kostek, Bo?ena, and Magdalena Plewa. "Parametrisation and correlation analysis applied to music mood classification." International Journal of Computational Intelligence Studies 2.1 (2013): 4-25.
[citation][year=2013]Imbrasait?, Vaiva, and Peter Robinson. "Absolute of Relative? A New Approach to Building Feature Vectors For Emotion Tracking In Music." The 3rd International Conference on Music & Emotion, Jyväskylä, Finland, June 11-15, 2013. University of Jyväskylä, Department of Music, 2013.
[citation][year=2013]Mostafavi, Amanda Cohen, Zbigniew W. Ra?, and Alicja A. Wieczorkowska. "From Personalized to Hierarchically Structured Classifiers for Retrieving Music by Mood." International Workshop on New Frontiers in Mining Complex Patterns. Springer International Publishing, 2013.
[citation][year=2013]Imbrasaite, Vaiva, Tadas Baltrušaitis, and Peter Robinson (2013). "EMOTION TRACKING IN MUSIC USING CONTINUOUS CONDITIONAL RANDOM FIELDS AND RELATIVE FEATURE REPRESENTATION.", AAM Workshop, ICME’2013. 
[citation][year=2013]Plewa, Magdalena, and Bozena Kostek. "Multidimensional Scaling Analysis Applied to Music Mood Recognition." Audio Engineering Society Convention 134. Audio Engineering Society, 2013.

[citation][year=2012]Plewa, Magdalena, and Bozena Kostek. "A Study on Correlation between Tempo and Mood of Music." Audio Engineering Society Convention 133. Audio Engineering Society, 2012.
[citation][year=2012]Scott Beveridge  (2012). “A novel approach for time-continuous tension prediction in film soundtracks”, Proceedings of the 7th Audio Mostly Conference: A Conference on Interaction with Sound, Pages 55-60
[citation][year=2012]den Brinker, Bert, Ralph van Dinther, and Janto Skowronek. "Expressed music mood classification compared with valence and arousal ratings." EURASIP Journal on Audio, Speech, and Music Processing 2012.1 (2012): 1-14.
[citation][year=2012]Plewa, Magdalena, and Bozena Kostek. "Creating Mood Dictionary Associated with Music." Audio Engineering Society Convention 132. 2012.

[citation][year=2011]1. J McGowan, "Harmonious: An Emotion-Matching System for Intelligent Use of Players’ Own Music Libraries with Game Soundtracks", Harmonious Project Technical Report, Leeds Metropolitan Universit, UK.

[publication]Panda, Renato and Paiva, R.P. , "Automatic Creation of Mood Playlists in the Thayer Plane: A Methodology and a Comparative Study", in Sound and Music Computing Conference - SMC'2011, 2011

[publication]Cardoso, L.F.A. and Panda, Renato and Paiva, R.P. , "MOODetector: A Prototype Software Tool for Mood-based Playlist Generation", in Simpósio de Informática - INForum 2011, 2011
[citation][year=2016]Dias, Ricardo, Daniel Gonçalves, and Manuel J. Fonseca. "From manual to assisted playlist creation: a survey." Multimedia Tools and Applications (2016): 1-29.
[citation][year=2015]Gajjar, Kunjal, and Siddhi Shah. "Mood based Playlist Generation for Hindi Popular Music: A Proposed Model." International Journal of Computer Applications (0975–8887) Volume (2015).
[citation][year=2014]Ramnani, Sweety, and Ravi Prakash Gorthi. "A Model to Incorporate Emotional Sensitivity into Human Computer Interactions." Proceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems. ACM, 2014.

[publication]Muehlsteff, J. . and P. Carvalho and Paiva, R.P. , "Cardiac Status Assessment with a multi-signal sensing device for improved Home-based Congestive Heart Failure Management", in Int. Conf. of the IEEE Engineering in Medicine and Biology Society, EMBC2011, 2011

[publication]Couceiro, R. and P. Carvalho and Paiva, R.P. and Henriques, J. and Antunes, M. and Quintal, I. and Muehlsteff, J. . , "Beat-to-beat Cardiac Output inference using heart sounds", in EMBC, 2011 Annual International Conference of the IEEE , 2011
[citation][year=2012]Paiva, R.P. and P. Carvalho and Couceiro, R. and Henriques, J. and Antunes, M. and Quintal, I. and Muehlsteff, J. . ,"Beat-to-Beat Systolic Time-Interval Measurement from Heart Sounds and ECG", Physiological Measurement , vol. 33, pp. 177-194, 2012

[publication]J. P. Ramos and P. Carvalho and Paiva, R.P. and Henriques, J. , "Modulation Filtering for Noise Detection in Heart Sound Signals", in Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA., 2011
[citation][year=2011]1. Silva, N. (2011). Phonocardiogram noise detection in realistic environments. MSc Thesis, University of Porto, Portugal.

[publication]Santos, S. and P. Carvalho and Paiva, R.P. and Henriques, J. , "Detection of the S2 split using the Hilbert and Wavelet transforms", in Congresso de Métodos Numéricos em Engenharia – CMNE 2011., 2011
[citation][year=2013]Abdelghani Djebbari, Fethi Bereksi-Reguig (2013). “Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner-Ville distribution”, BioMedical Engineering OnLine 2013, 12:37 doi:10.1186/1475-925X-12-37
[citation][year=2011]1. Hamza Cherif, L., and S. M. Debbal. "Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform." Journal of medical engineering & technology 37.3 (2013): 220-230.

[publication]J. P. Ramos and P. Carvalho and Paiva, R.P. and Vale, L.d. and Henriques, J. , "INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL", in Biosignals - International Conference on Bio-inspired Systems and Signal Processing, 2011
[citation][year=2013]1. Hamza Cherif, L., and S. M. Debbal. "Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform." Journal of medical engineering & technology 37.3 (2013): 220-230.
[citation][year=2013]Hamza Cherif, L., and S. M. Debbal. "Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform." Journal of medical engineering & technology 37.3 (2013): 220-230.

2010(3 publications)
[publication]D. Kumar and P. Carvalho and Paiva, R.P. and Antunes, M. and Henriques, J. , "Heart Murmur Classification using Complexity Signatures", in International Conference on Pattern Recognition - ICPR'2010, 2010
[citation][year=2013]Becerra, Miguel A., Diana A. Orrego, and Edilson Delgado-Trejos. "Adaptive neuro-fuzzy inference system for acoustic analysis of 4-channel phonocardiograms using empirical mode decomposition." Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013.
[citation][year=2012]MA Becerra, DA Orrego, C Mejia, E Delgado-Trejos, "Stochastic Analysis and Classification of 4-Area Cardiac Auscultation Signals Using Empirical Mode Decomposition and Acoustic Features", in Proc. of IEEE Conf. on Computers in Cardiology, 2012
[citation][year=2012]H. Azhar,  A. Amer, “Classi?cation of surveillance video objects using chaotic series” J. of IET Image Processing, 6 (7), 2012, pp. 919 - 931
[citation][year=2011]Ahmad, W., Hayee, M.I., Fitzakerley, J.L., Burns, S., Nordehn, G., "Heart Murmur Detection/Classification Using Cochlea-Like Pre-Processing and Artificial Intelligence", Int. J. of Biomedical Engineering and Technology, 7, 2011, pp.  87-96
[citation][year=2011]Kasun Prasanga, D. , Abeykoon, A.H.S. ;  Prasad, S. ;  Udawatta, L. , "Auscultation based stethoscopic diagnostic device for cardiac murmur identification", IEEE International Conference on Industrial Technology (ICIT), 2011 , pp. 367 - 372 
[citation][year=2011]Booma Devi Sekar, JiaYi Dou, Bin Bin Fu, Xiao Lei Fei and Ming Chui Dong, 2011. Complexity and Similarity Analysis of Heart Sound for Cardiovascular Disease Detection. Biotechnology, 10: 316-322.
[citation][year=2010]Abeykoon, A.H.S. ;  Prasanga, D.K. ;  Prasad, S. ;  Perera, W. ;  Perera, K. , "Knowledge on heart patients through stethoscopic cardiac murmur identification for E-healthcare",  8th International Conference on ICT and Knowledge Engineering, 2010, pp. 58 - 63

[publication]D. Kumar and P. Carvalho and Antunes, M. and Paiva, R.P. and Henriques, J. , "Heart Murmur Classification with Feature Selection", in International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC'2010, 2010
[citation][year=2013]Salama, Mostafa A., et al. "Rough set-based identification of heart valve diseases using heart sounds." Rough Sets and Intelligent Systems-Professor Zdzis?aw Pawlak in Memoriam. Springer Berlin Heidelberg, 2013. 475-491.
[citation][year=2013]Salama, Mostafa A., et al. "Rough set-based identification of heart valve diseases using heart sounds." Rough Sets and Intelligent Systems-Professor Zdzis?aw Pawlak in Memoriam. Springer Berlin Heidelberg, 2013. 475-491.
[citation][year=2013]Hamdy, Ahmed, et al. "Cardiac disorders detection approach based on local transfer function classifier." Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on. IEEE, 2013.
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[citation][year=2011]1. Mostafa A. Salama, Aboul Ella Hassanien, Aly A. Fahmy and Tai-hoon Kim (2011). “Heart Sound Feature Reduction Approach for Improving the Heart Valve Diseases Identification”, SIGNAL PROCESSING, IMAGE PROCESSING AND PATTERN RECOGNITION Communications in Computer and Information Science, 2011, Volume 260, 280-290.

[publication]P. Carvalho and Paiva, R.P. and Couceiro, R. and Henriques, J. and Antunes, M. and Quintal, I. and Muehlsteff, J. . and Aubert, X. , "Comparison of systolic time interval measurement modalities for portable devices", in Conf. of IEEE-EMBC, 2010
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[citation][year=2010]Proença J. D. (2010). “Improved disease management of heart failure patients using the pulse wave velocity methodology”, MSc Thesis, University of Coimbra, 2010.
[citation][year=2010]J Proença et al. (2010). “Is Pulse Transit Time a good indicator of Blood Pressure changes during short physical exercise in a young population?”, 32nd Annual International Conference of the IEEE EMBS


2009(2 publications)
[publication]Paiva, R.P. and P. Carvalho and Henriques, J. and Antunes, M. , "Assessing PEP and LVET from Heart Sounds: Algorithms and Evaluation", in EMBC\'2009, 2009
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[publication]P. Carvalho and Paiva, R.P. and Henriques, J. and Antunes, M. , "Assessing Systolic Time-Intervals from Heart Sound: a Feasibility Study", in EMBC-2009, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
[citation][year=2012]1. Carreira H. et al. (2012). “Effect of the type of population on estimates of mean body mass index and prevalence of overweight and obesity: A systematic review of studies of Portuguese adults”, Annals of Human Biology, Vol. 39, No. 3, pp. 223-238.
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[citation][year=2011]J Teerlink (2011). “Cardiac myosin activation: will theory and practice coincide?”, Lancet, 2011

[citation][year=2010]Reiter H. (2010). “HeartCycle: Beyond building demonstrators. A structured approach to develop, implement and validate healthcare innovations in telemonitoring”, Proceedings of the Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2010.
[citation][year=2010]Leonardo J. D. (2010). “Improved disease management of heart failure patients using the pulse wave velocity methodology”, MSc Thesis, University of Coimbra, 2010.

[citation][year=2009]&#8226;	A. Matos, Surrogates for Continous Blood Pressure Assessment, MSc Thesis, University of Coimbra, 2009.

2007(1 publication)
[publication]Paiva, R.P. , "An Approach for Melody Extraction from Polyphonic Audio: Using Perceptual Principles and Melodic Smoothness", in 154th Meeting of the Acoustical Society of America, 2007
[citation][year=2011]1. Sihyun Joo, Sanghun Park, Seokhwan Jo, Chang D. Yoo (2011). “Melody Extraction based on Harmonic Coded Structure”. ISMIR 2011: 227-232.

2005(4 publications)
[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "Segmentation of Pitch Tracks for Melody Detection in Polyphonic Audio", in EUSIPCO'2005, 2005
[citation][year=2006]Arve Voldsund (2006). "Brukergrensesnitt for sanntidsbehandling av lyd Mapping av sensordata til DSP-funksjoner", MSc Thesis, University of Oslo, Norway

[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "Exploiting Melodic Smoothness for Melody Detection in Polyphonic Audio", in ICMC'2005, 2005

[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "On the Detection of Melody Notes in Polyphonic Audio", in ISMIR'2005, 2005
[citation][year=2012]1. YR Chien, HM Wang, SK Jeng – 2012. “SIMULATED FORMANT MODELING OF ACCOMPANIED SINGING SIGNALS FOR VOCAL MELODY EXTRACTION”, Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark, p.33-40
[citation][year=2011]Chien, Y., Wang, H., Jeng, S. (2011). “An Acoustic-Phonetic Approach to Vocal Melody Extraction”. In ISMIR(2011), pp.25-30.
[citation][year=2011]Klapuri A. (2011). “Pattern Induction and Matching in Music Signals”. EXPLORING MUSIC CONTENTS, Lecture Notes in Computer Science, 2010, Volume 6684/2011, pp. 188-204.

[citation][year=2010]Allali J., Ferraro P. et. al (2010). “Polyphonic Alignment Algorithms for Symbolic Music Retrieval”. AUDITORY DISPLAY, Lecture Notes in Computer Science, 2010, Volume 5954/2010, pp. 466-482.
[citation][year=2010]JL Durrieu (2010).  “Transcription et séparation automatique de la mélodie principale dans les signaux de musique polyphoniques”, PhD Thesis, Telecom Paris Tech
[citation][year=2010]Fernández C. (2010). “Detector de melodía”. http://quieroseringenieroinformatico.blogspot.com/2010/01/detector-de-melodia.html
[citation][year=2010]Kuder M. (2010). Extraction of Predominant Melody from Audio Recordings. EngD thesis. University of Ljubljana, Slovenia.
[citation][year=2010]López D. H. (2010). “ANÁLISIS DE LAS CARACTERÍSTICAS ACÚSTICAS DE LA PERCUSIÓN HUMANA”. MSc Thesis, Universidad Autónoma de Madrid.

[citation][year=2009]Allali J., Ferraro P. et. al (2009). &#8220;Polyphonic Alignment Algorithms for Symbolic Music Retrieval&#8221;. Auditory Display, Lecture Notes in Computer Science, 2010, Volume 5954/2010, 466-482.
[citation][year=2009]Allali J., Ferraro P. et. al (2009). &#8220;Toward a General Framework for Polyphonic Comparison&#8221;. Fundamenta Informaticae, Vol. 97 (3), pp.331-346.
[citation][year=2009]Chien Y.-R. and Wang H.-M. (2009). "Vocality-Sensitive Melody Extraction from Popular Songs". APSIPA ASC 2009
[citation][year=2008]Every M. R. (2008). &#8220;Discriminating Between Pitched Sources in Music Audio&#8221;, IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, No. 2, pp. 267-277.
[citation][year=2008]Klapuri, A. (2008). "Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model," Audio, Speech, and Language Processing, IEEE Transactions on , vol.16, no.2, pp.255-266, Feb. 2008.
[citation][year=2008]Ryynänen M. and Klapuri A. (2008). &#8220;Automatic Transcription of Melody, Bass Line, and Chords in Polyphonic Music&#8221;. Computer Music Journal, Vol. 32, No. 3, pp. 72-86.
[citation][year=2008]Suyoto I. (2008). CROSS-DOMAIN CONTENT-BASED RETRIEVAL OF AUDIO MUSIC THROUGH TRANSCRIPTION. PhD Thesis, School of Computer Science and Information Technology, College of Science, Engineering, and Technology, RMIT University, Melbourne, Victoria, Australia
[citation][year=2008]Suyoto I., Uitdenbogerd A. and Scholer F. (2008). &#8220;Searching Musical Audio Using Symbolic Queries&#8221;. IEEE Transactions on audio, Speech and Language Processing, Vol. 16, No. 2, pp. 372-381.
[citation][year=2007]Cao C., Li M., Liu J. and Yan Y. (2007). &#8220;Singing Melody Extraction in Polyphonic Music by Harmonic Tracking&#8221;. Proceedings of the International Conference on Music Information Retrieval &#8211; ISMIR&#8217;2007, Vienna, Austria, September 2007.
[citation][year=2007]Chien Y.-R. and Wang H.-M. (2007). &#8220;Vocality-Sensitive Melody Extraction from Popular Songs&#8221;. 2nd Beijing-Hong Kong International Doctoral Forum.
[citation][year=2007]Dittmar C., Dressler K. and Rosenbauer K. (2007). &#8220;A Toolbox for Automatic Transcription of Polyphonic Music&#8221;, Audio Mostly 2007 - 2nd Conference on Interaction with Sound, Röntgenbau, Ilmenau, Germany.
[citation][year=2007]Duda A., Nurnberger A., Stober S. (2007). &#8220;Towards Query By Singing/Humming on Audio Databases&#8221;. Proceedings of the International Conference on Music Information Retrieval &#8211; ISMIR&#8217;2007, Vienna, Austria, September 2007.
[citation][year=2007]Hanna P. and Ferraro P. (2007). &#8220;Polyphonic Music Retrieval by Local Edition of Quotiented Sequences&#8221;. International Workshop on Content-Based Multimedia Indexing &#8211; CBMI&#8217;07.
[citation][year=2007]Wright D. P. (2007). &#8220;Analysis and Interpretation of Music for Dance&#8221;, BSc Thesis, University of Teesside, Schol of Computing.
[citation][year=2007]Suyoto I., Uitdenbogerd A. and Scholer F. (2007). &#8220;Effective Retrieval of Polyphonic Audio with Polyphonic Symbolic Queries&#8221;. Proceedings of the International Workshop on Multimedia Information, Augsburg, Germany.
[citation][year=2006]de Cheveigné A. (2006). “Multiple F0 Estimation”, in Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, edited by DeLiang Wang and Guy J. Brown, John Wiley and sons.
[citation][year=2006]Ellis D. and Poliner G. (2006). “Classification-Based Melody Transcription”. Machine Learning Journal, Vol. 65, No. 2-3. Pp. 439-456.
[citation][year=2006]López, Daniel Hernández, and D. Daniel Hernández López. "Análisis de las características acústicas de la percusión humana." Information Retrieval 1.1 (2006): 1-90.
[citation][year=2006]Orio N. (2006). “Music Retrieval: A Tutorial and Review”. Foundations and Trends in Information Retrieval, Vol. 1, No. 1, pp. 1-90, November 2006.
[citation][year=2006]Ryynänen M. and Klapuri A. (2006). “Transcription of the Singing Melody in Polyphonic Music”. Proceedings of the International Conference on Music Information Retrieval – ISMIR’2006, Victoria, Canada, October 2006.
[citation][year=2006]Ryynänen M. and Klapuri A. (2006). “Transcription of the Singing Melody in Polyphonic Music (MIREX 2006)”. Proceedings of the Music Information Retrieval Exchange – MIREX’2006.


[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "On the Definition of Musical Notes from Pitch Tracks for Melody Detection in Polyphonic Recordings", in DAFx\'05, 2005
[citation][year=2010]1. Hamadicharef B. (2010). “Bibliometric Study of the DAFx Proceedings 1998-2009”. Digital Audio Effects (DAFx2010), Graz : Austria
[citation][year=2006]di Salvo V.G. and Bertini G. "An Identification System of Monophonic Musical Tones?. 14th International Conference EUSIPCO 2006.

2004(5 publications)
[publication]Malheiro, R., and Paiva, R.P. and Antonio Jose Mendes and Mendes, T. and Amilcar Cardoso , "Classification of Recorded Classical Music using Neural Networks", in EIS'2004, 2004
[citation][year=2006]Gruijl, J., Wiering (2006). M. "Musical Instrument Classification using Democratic Liquid State Machines?, Benelearn\'06: in Proceedings of the 15th Belgian-Dutch Conference on Machine Learning, pp. 33-40, edited by Y. Saeys, E. Tsiporkova, B. De Baets, and Y. Van de Peer, 2006.
[citation][year=2005]Lee et al. (2005). "Fast Panoramic Image Generation Method Using Morphological Corner Detection?. In Advances in Multimedia Information Processing " PCM 2005.
[citation][year=2005]Park, D., Nguyen, D, Beack, S. e Park, S., Classification of Audio Signals Using Gradient-Based Fuzzy c-Means Algorithm with Divergence Measure. In Advances in Multimedia Information Processing " PCM 2005, LNCS, pp. 698-708, 2005.

[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "A Methodology for Detection of Melody in Polyphonic Musical Signals", in AES116, 2004
[citation][year=2012]1. YH Sim, CW Teo, SH Neo, KS Chong (2012). “Segmenting a humming signal into musical notes”, US Patent 8,193,436, 2012
[citation][year=2011]Seokhwan Jo, Chang D. Yoo, and Arnaud Doucet, “Melody Tracking based on Sequential Bayesian Model”, to appear for publication in IEEE Journal of Selected Topics in Signal Processing, November 2011.
[citation][year=2011]Sihyun Joo, Sanghun Park, Seokhwan Jo, Chang D. Yoo (2011). “Melody Extraction based on Harmonic Coded Structure”. ISMIR 2011: 227-232.

[citation][year=2010]Jo S. etal. (2010). “Melody Pitch Estimation Based on Range Estimation and Candidate Extraction Using Harmonic Structure Model”, InterSpeech 2010.
[citation][year=2010]Streitenberger F., Weis M., Derboven C. and Cremer M. (2010). “VERFAHREN UND VORRICHTUNG ZUR EXTRAKTION EINER EINEM AUDIOSIGNAL ZU GRUNDE LIEGENDEN MELODIE”. Germany Patent Application. 

[citation][year=2009]Hwee et al. (2009). “Segmenting a Humming Signal Into Musical Notes”. United States Patent Application. 
[citation][year=2009]Joo S. et al. (2009). “Melody extraction from polyphonic audio signal”,  MIREX 2009.
[citation][year=2009]Lachambre H. (2009). “Caractérisation de l'environnement musical dans les documents audiovisuels”. PhD Thesis, Institut de Recherche en Informatique de Toulouse (IRIT).

[citation][year=2008]1.	Salamon J. J. (2008). &#8220;Chroma-based Predominant Melody and Bass Line Extraction from Music Audio Signals&#8221;. MSc Thesis. University Pompeu Fabra, Barcelona, Spain.
[citation][year=2007]Poliner G., Ellis D., Ehmann A., Gomez E., Streich S. and Ong B. (2007). &#8220;Melody Transcription from Music Audio: Approaches and Evaluation&#8221;. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 4 pp. 1247 - 1256.
[citation][year=2007]Serrà J. (2007). &#8220;Music Similarity based on Sequences of Descriptors: Tonal Features Applied to Audio Cover Song Identification&#8221;. MSc Thesis, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
[citation][year=2006]Brossier P. (2006). &#8220;Automatic Annotation of Musical Audio for Interactive Applications&#8221;. PhD Thesis, Centre for Digital Music Queen Mary, University of London.
[citation][year=2006]Ellis D. and Poliner G. (2006). &#8220;Classification-Based Melody Transcription&#8221;. Machine Learning Journal, Vol. 65, No. 2-3, pp. 439-456.
[citation][year=2006]Goto M. (2006). &#8220;Analysis of Music Audio Signals&#8221;, in Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, edited by DeLiang Wang and Guy J. Brown, John Wiley and sons.
[citation][year=2006]Klapuri A. and Davy M. (2006). Signal processing methods for music transcription. Springer.
[citation][year=2006]Sim, Y. H. et. al (2006).  &#8220;Segmenting a Humming Signal into Musical Notes&#8221;, PatenScope.
[citation][year=2006]Streitenberger F., Weis M., Derboven C. and Cremer M. (2006). &#8220;Method and Device for Harmonic Rendering of a Melody Line&#8221;. United States Patent Application. 
[citation][year=2006]Streitenberger F., Weis M., Derboven C. and Cremer M. (2006). &#8220;Method and Device for Extracting a Melody Underlying an Audio Signal&#8221;. United States Patent Application.
[citation][year=2006]Streitenberger F., Weis M., Derboven C. and Cremer M. (2006). &#8220;Verfahren und Vorrichtung zur Glättung eines Melodieliniensegments&#8221;. Germany Patent Application.
[citation][year=2005]Poliner G. and Ellis D. (2005). “ A Classification Approach to Melody Transcription”. International Conference on Music Information Retrieval – ISMIR’2005.
[citation][year=2005]Sim et al. (2005). “Segmenting a Humming Signal Into Musical Notes”. United States Patent Application Publication, US 2009/0171485
[citation][year=2005]Streitenberger F., Weis M., Derboven C. and Cremer M. (2005). “Method and Device for Smoothing a Melody Line Segment”. United States Patent, Patent number: 6951977, Issue date: 4 Oct 2005.

[publication]Malheiro, R., and Paiva, R.P. and Antonio Jose Mendes and Mendes, T. and Amilcar Cardoso , "A Prototype for Classification of Classical Music using Neural Networks", in ASC'2004, 2004
[citation][year=2012]1. Kalayci, I.; Korukoglu, S.; , "Classification of Turkish Maqam music using k-means algorithm and artificial neural networks," Signal Processing and Communications Applications Conference (SIU), 2012 20th , vol., no., pp.1-4, 18-20 April 2012.
[citation][year=2008]1. Boulandet, Romain, et al. "How to move from perception to design: Application to keystroke sound." INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Vol. 2008. No. 1. Institute of Noise Control Engineering, 2008.
[citation][year=2008]Romain, B., Hervé, L., Patrick, M., Jacques, R. e Sylvain, S., How to move from perception to design: application to keystroke sound. In Proceedings of INTER-NOISE and NOISE-CON Conference. Vol. 2008. No. 2. Institute of Noise Control Engineering, 2008.
[citation][year=2007]1.	Alluri, V. (2007). &#8220;TOWARD AUTOMATIC MUSICOLOGICAL CLASSIFICATION OF WESTERN CLASSICAL MUSIC&#8221;. MSc Thesis, University of Miami, USA.
[citation][year=2006]Ezzaidi H. and Rouat J. (2006). &#8220;Automatic Musical Genre Classification Using Divergence and Average Information Measures&#8221;. International Journal of Applied Mathematics and Computer Sciences, Vol. 3, No.  4, pp. 202 &#8211; 206.
[citation][year=2006]Xin Jin, Rongfang Bie. Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination. In Proceedings of the International Conference on Data Mining - DMIN'2006, pp.414-417.
[citation][year=2005]Kordos, M., Search-based algorithms for multilayer perceptrons. Tese de Doutoramento, Silesian University of Technology, Polónia, 2005.

[publication]Malheiro, R., and Paiva, R.P. and Antonio Jose Mendes and Mendes, T. and Amilcar Cardoso , "Classification of Recorded Classical Music: A Methodology and a Comparative Study", in  International Symposium on Brain Inspired Cognitive Systems - BICS’2004, 2004
[citation][year=2006]1.	Tantini F. (2006). &#8220;Apprentissage d&#8217;automates stochastiques pour la classification automatique de styles musicaux&#8221;. Techinical Report, Jean Monnet University, Saint-Etiène, France.

[publication]Paiva, R.P. and Mendes, T. and Amilcar Cardoso , "An Auditory Model Based Approach for Melody Detection in Polyphonic Musical Recordings", in Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004, 2004
[citation][year=2012]1. Haifeng Sun, Zhang Tian Marlene (2012). “Melody discovery technology based on music cognition principles”, 3rd International Conference on Frontiers of Manufacturing and Design Science - ICFMD 2012 (in Chinese).
[citation][year=2011]BoKook Yoon & SeongYong Hong (2011). “A Design of Music Retrieval and Recommendation System based on Emotion”, Proceedings of Korea Information Science 2011, 38, Issue 1, pp. 153-155 (in Korean).
[citation][year=2011]Dressler K. (2011). “Pitch Estimation by the Pair-Wise Evaluation of Spectral Peaks”,42nd International AES Conference: Semantic Audio.

[citation][year=2010]Waters, J., and Allen, R.B. (2010). Music Metadata in a New Key: Metadata and Annotation for Music in a Digital World Journal of Library Metadata, in press.
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[citation][year=2009]Cano E. and Cheng C. (2009). &#8220;Melody Line Detection and Source Separation in Classical Saxophone Recordings&#8221;. International conference on Digital Audio Effects &#8211; DAFx&#8217;09.
[citation][year=2009]Goto M and Ogata J. (2009). &#8220;A Survey on Research for Recognizing and Understanding Audio Signals of Music and Speech&#8221;. JSSSTCS, Vol. 26. No. 1 (2009). (in Japanese).
[citation][year=2008]1.	Casey M. A., Veltkamp R., Goto M., Leman M., Rhodes C. and Slaney M. (2008). &#8220;Content-Based Music Information Retrieval: Current Directions and Future Challenge&#8221;, Proceedings of the IEEE, Vol. 96, No. 4. (April 2008), pp. 668-696.
[citation][year=2006]Goto M. (2006). “Analysis of Music Audio Signals”, in Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, edited by DeLiang Wang and Guy J. Brown, John Wiley and sons.
[citation][year=2006]Klapuri A. and Davy M. (2006). Signal processing methods for music transcription. Springer.


2001(1 publication)
[publication]Paiva, R.P. and António Dourado , "Merging and Constrained Learning for Interpretability in Neuro-Fuzzy Systems", in International Workshop on Hybrid Methods for Adaptive Systems, 2001
[citation][year=2011]C. Mencar, C. Castiello, R. Cannone, A.M. Fanelli, Interpretability assessment of fuzzy knowledge bases: A cointension based approach, International Journal of Approximate Reasoning, Volume 52, Issue 4, June 2011, Pages 501-518.
[citation][year=2011]C. Mencar, C. Castiello, R. Cannone, A.M. Fanelli, Design of fuzzy rule-based classifiers with semantic cointension, Information Sciences, Volume 181, Issue 20, 15 October 2011, Pages 4361-4377

[citation][year=2009]1.	Gholizadeh S, Salajegheh E. (2009). &#8220;Optimal design of structures subjected to time history loading by swarm intelligence and an advanced metamodel&#8221;. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING    Volume: 198    Issue: 37-40    Pages: 2936-2949.
[citation][year=2008]1.	Mencar C. and Fanelli A. M. (2008). &#8220;Interpretability constraints for fuzzy information granulation&#8221;. Information Sciences, Vol. 178, No. 24, pp. 4585-4618.
[citation][year=2007]Mencar C., Castellano G., Fanelli A. M. (2007). “Distinguishability Quantification of Fuzzy Sets”. Information Sciences, Vol. 177, No. 1, pp. 130-149.
[citation][year=2007]Shtovba SD (2007). “Ensuring the accuracy and transparency of the Mamdani fuzzy model with learning from experimental data”, Problems of Management and Informatics, Vol. 4. (?????? ?.?. ??????????? ???????? ? ???????????? ???????? ?????? ??????? ??? ???????? ?? ????????????????? ??????). 

[citation][year=2005]1.	Mikut R. Jakel J and Groll L. (2005). &#8220;Interpretability issues in data-based learning of fuzzy systems&#8221;. Fuzzy Sets and Systems, Vol. 150 (2), pp.179-197.
[citation][year=2004]1.	Mencar C. (2004). &#8220;Theory of Fuzzy Information Granulation &#8211; Contributions to Interpretability Issues&#8221;. PhD Thesis, Department of Informatics, Faculty of Science, University of Bari, Italy.

2000(3 publications)
[publication]Paiva, R.P. and António Dourado , "Comparison of Neuro-Fuzzy Structures for System Identification", in Control'2000, 2000

[publication]Paiva, R.P. and António Dourado and Duarte, B. , "Quality Prediction in Industrial Processes: Application of a Neuro-Fuzzy System", in MCPL'2000, 2000

[publication]Paiva, R.P. and António Dourado , "Development of Interpretable Models through Neuro-Fuzzy Networks", in EIS'2000, 2000

1999(2 publications)
[publication]Paiva, R.P. and António Dourado and Duarte, B. , "Applying Subtractive Clustering for Neuro-Fuzzy Modelling of a Bleaching Plant", in ECC'99, 1999
[citation][year=2011]1. K?dzio?ka, Kinga. "Zastosowanie systemów neuronowo-rozmytych do prognozowania szeregów finansowych." Prace Naukowe/Uniwersytet Ekonomiczny w Katowicach, Metody matematyczne, ekonometryczne i komputerowe w finansach i ubezpieczeniach 2009 (2011): 117-127.
[citation][year=2010]1.	Hanafy T. (2010). &#8220;A modified Algorithm to Model Highly Nonlinear System&#8221;. Journal of American Science, Vol. 6(12), pp. 747-759.
[citation][year=2009]1. Guo Wei; Jian Liu; Jinwei Sun (2009). "Application of multifunctional sensing technique with ANFIS to physical parameters estimations of ternary solution with NaCl and sucrose," Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE , vol., no., pp.664-669, 5-7 May 2009.
[citation][year=2007]Bae, D.-H. Jeong, D. M. Kim, G. (2007). "Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique", HYDROLOGICAL SCIENCES JOURNAL, Vol. 52(1), pp. 99-113
[citation][year=2003]Haendel L. (2003). "Clusterverfahren zur datenbasierten Generierung interpretierbarer Regeln unter Verwendung lokaler Entscheidungskriterien?. PhD Thesis, Faculty of Electrical Engineering and Information Technologies, University of Dortmund, Germany

[publication]Paiva, R.P. and António Dourado , "Comparação de Estruturas Neuro-Difusas para Identificação de Sistemas", in EEI'99, 1999

1998(2 publications)
[publication]Paiva, R.P. and António Dourado and Duarte, B. , "Abordagem Neuro-Difusa para a Modelização de um Sistema de Branqueamento de Pasta de Papel", in Tecnicelpa'98, 1998

[publication]Paiva, R.P. and António Dourado and Duarte, B. , "A Neuro-Fuzzy System for Modelling of a Bleaching Plant", in EUFIT'98, 1998
[citation][year=2003]Choy M. C., Cheu R. L., Srinivasan D. and Logi F. (2003). “Real-time Coordinated Signal Control using Agents with Online Reinforcement Learning”, Proceedings of the 82nd Annual Meeting of the Transportation Research Board – TRB’2003.
[citation][year=2003]Choy M. C., Cheu R. L., Srinivasan D. and Logi F. (2003). “Real-Time Coordinated Signal Control Through Use of Agents with Online Reinforcement Learning”,  Journal of the Transportation Research Board, Vol. 1836, pp. 64-75.
[citation][year=2002]1. MC Choy, D Srinivasan, RL Cheu - the Proceedings of the …, 2002 - ascelibrary.org, “Cooperative Learning Hybrid Agents for Traffic Management and Control”

PhD Theses
2007(1 publication)
[publication]Paiva, R.P. , "Melody Detection in Polyphonic Audio", 2007
[citation][year=2012]1. Salamon J. and Urbano J. (2012), “Current Challenges in the Evaluation of Predominant Melody Extraction Algorithms”, 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 
[citation][year=2011]Martens, Ga. "Extraction and representation of semantic information in digital media." (2011): HASH-0x6fd2dd8.
[citation][year=2011]Muller, M.; Ellis, D.P.W.; Klapuri, A.; Richard, G. (2011), "Signal Processing for Music Analysis," Selected Topics in Signal Processing, IEEE Journal of , vol.5, no.6, pp.1088-1110, Oct. 2011. 

[citation][year=2010]JL Durrieu (2010).  “Transcription et séparation automatique de la mélodie principale dans les signaux de musique polyphoniques”, PhD Thesis, Telecom Paris Tech
[citation][year=2010]J-L Durrieu, G. Richard, B. David, C. Févotte,  Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals, IEEE Transactions on Audio, Speech and Language Processing, Accepted, To appear in March 2010. 

[citation][year=2009]Behringer R., Stansbie A., Stavropoulos N., Ward M. (2009). Information Computing Technology (ICT) for Music Composition and Seamless Performance Interfaces, Electronic Music Review, Vol.12, March 2009 (online magazine).
[citation][year=2009]Wendelboe M. (2009). “Bestemmelse af melodien i polyfon musik”, MSc Thesis, University of Copenhagen, Denmark.

[citation][year=2008]Casey M. A., Veltkamp R., Goto M., Leman M., Rhodes C. and Slaney M. (2008). “Content-Based Music Information Retrieval: Current Directions and Future Challenge”, Proceedings of the IEEE, Vol. 96, No. 4. (April 2008), pp. 668-696.  
[citation][year=2008]Leman M. (2008). “Systematic musicology at the crossroads of modern music research”, in Systematic and Comparative Musicology: Concepts, Methods, Findings, ed. Schenider A., Musikwissenschaftliches Institut der Universität Hamburg.
[citation][year=2008]Martins L. G. (2008). A Computational Framework for Sound Segregation in Music Signals. PhD Thesis, University of Porto, Portugal.
[citation][year=2008]Morten Wendelboe (2008). “Udtræk af melodien fra et musikalsk nummer”. Techical Report. University of Copenhagen.
[citation][year=2008]Ryynänen M. (2008). “Automatic Transcription of Pitch Content in Music and Selected Applications”. PhD Thesis, Tampere University of Technology, Finland.
[citation][year=2008]Styns F. and Leman M. (2008). “Sound, sense and music mediation: a historical-philosophical perspective“. In Polotti P. & Rocchesso D. (Eds.) Sound to Sense - Sense to sound - A state of the art in Sound and Music Computing.(pp.15-46). Berlin: Logos.
[citation][year=2008]Wendelboe M. (2008). “Udtræk af melodien fra et musikalsk nummer (Extracting the melody from a musical number)”. Technical Report, Copenhagen University.
[citation][year=2007]Moelants D., Cornelis O., Leman M., Gansemans J., De Caluwe R., De Tré G., Matthé T., Hallez A. (2007). "The Problems and Opportunities of Content-based Analysis and Description of Ethnic Music?. International Journal of Intangible Heritage, Vol. 2, pp. 57-68.
[citation][year=2006]1. Moelants, Dirk, et al. "Problems and opportunities of applying data-& audio-mining techniques to ethnic music." (2006): 334-336.

MSc Theses
2017(1 publication)
[publication]João T. Fernandes and Paiva, R.P. and Tiago Cruz , "Using Low Cost Embedded Systems for Lung Sounds Auscultation and Analysis", 2017

1999(1 publication)
[publication]Paiva, R.P. , "Identificação Neuro-Difusa: Aspectos de Interpretabilidade (Neuro-Fuzzy Identification: Interpretability Issues)", 1999
[citation][year=2011]1. Fontes, R. M., Rodrigues, I. L. S., Fontes, C. H., & Kalid, R. A. (2011). Obtenção de parâmetros ótimos para um modelo dinâmico fuzzy TSK considerando incerteza de medição nas entradas. VI Congresso Brasileiro de Metrologia (p. 5).
[citation][year=2010]Hanafy T. (2010). “A modified Algorithm to Model Highly Nonlinear System”. Journal of American Science, Vol. 6(12), pp. 747-759.
[citation][year=2010]Rodrigues M. C. (2010). “Identificação Fuzzy-Multimodelos para Sistemas Não Lineares”, PhD Thesis, Universidade Federal do Rio Grande do Norte, Brasil.

[citation][year=2008]1.	Pereira R. (2008). &#8220;MODELAGEM NEURO-FUZZY NA ESTIMATIVA DO PERFIL DE Eucalyptus SP&#8221;. BSc Thesis, Universidade Federal de Lavras, Brazil
[citation][year=2007]Baleeiro G. (2007). &#8220;MODELAGEM NEURO-FUZZY NA ESTIMATIVA DO VOLUME DE Eucalyptus SP&#8221;. BSc Thesis, Universidade Federal de Lavras, Brazil
[citation][year=2007]Silva E. M. et al. (2007). &#8220;Uma aplicação de conjuntos difusos na otimização do prognóstico de consenso sazonal de chuva no Nordeste do Brasil&#8221;. Revista Brasileira de Meteorologia, Vol. 22, No. 1.
[citation][year=2007]Corrêa, M. V. et al. (2007). &#8220;Identificação de Sistemas Dinâmicos Não-Lineares Utilizando A Lógica Fuzzy&#8221;. Principium On-Line: Iniciação Científica no Unileste MG, Coronel Fabriciano MG, Vol. 1, No. 3, pp. 68-86.
[citation][year=2006]1. Vieira J. (2006). “Modelização cinzenta aplicada à síntese de controladores com baixa complexidade”. PhD Thesis, Universidade de Aveiro, Portugal.
[citation][year=2005]Andres Ferreyra Ramirez (2005). "Redes Neuronales Difusas para modelado via agrupanmiento en-línea: Aplicación a un condensador de aspiración", PhD Thesis, CENTRO DE INVESTIGACIÿN Y DE ESTUDIOS AVANZADOS DEL INSTITUTO POLITÿCNICO NACIONAL DEPARTAMENTO DE CONTROL AUTOMÁTICO, Mexico.

1996(1 publication)
[publication]Paiva, R.P. , "Modelling and Control of an Electric Arc Furnace", 1996
[citation][year=2013]1. ??, and ???. "???????????????." ??????? 1 (2013): 015.
[citation][year=2013]Hongge Zhao (2013). “NN-based approximate model control for the EAF electrode regulator system”, Mathematical Problems in Engineering (accepted)
[citation][year=2012]Abolfazl Nazari (2012). “Modeling of thermal radiation in the internal sections of a Three-phase AC electrical arc furnace by means of a new temperature estimation method for AC arcs”. International Journal of Advanced Scientific Engineering and Technological Research,  Vol 1, No 3
[citation][year=2012]Lei Li, Zhizhong Mao, A direct adaptive controller for EAF electrode regulator system using neural networks, Neurocomputing, Volume 82, 1 April 2012, Pages 91-98.
[citation][year=2012]Li, Lei, and Zhi-zhong Mao. "A novel robust adaptive controller for EAF electrode regulator system based on approximate model method." Journal of Central South University 19.8 (2012): 2158. ??, and ???. "A novel robust adaptive controller for EAF electrode regulator system based on approximate model method." ??????: ??? 19.8 (2012): 2158-2166.

[citation][year=2010]Arash Kiyoumarsi, Abolfazl Nazari, Mohammad Ataei, Hamid Khademhosseini Beheshti, Rahmat-Allah Hooshmand, (2010) "Electromagnetic analysis of an AC electric arc furnace including the modeling of an AC arc", COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 29 Iss: 3, pp.667 - 685.
[citation][year=2010]LI Lei, MAO Zhi-zhong, JIA Ming-xing, LIU Fang (2010). “Support-vector-machine-based inverse internal model controller for electric arc furnace”. Control Theory & Applications, Vol. 27, No. 11, pp. 1455-1462.

[citation][year=2007]Balan R., Hancu O., Stan S.-D. and Balan H. (2007). &#8220;Modeling and Adaptive Control of an Electric Arc Furnace&#8221;, 9th International Conference on Electrical Power Quality and Utilisation - EPQU '07, Barcelona, Spain.
[citation][year=2007]Balan R., Maties V. and Stan S.-D. (2007). &#8220;Optimization of the Electrode Control System Using On Line Simulation and Rule Based Control&#8221;. International Conference on Mechatronics and Automation -ICMA 2007.
[citation][year=2007]Balan R., Maties V., Hancu O., Stan S.-D. and Lapusan C. (2007). &#8220;Modeling and Control of an Electric Arc Furnace&#8221;, 15th IEEE Mediterranean Conference on Control and Automation - MED '07, Athens, Greece.

Tech Report
2013(4 publications)
[publication]Paiva, R.P. , "An Outline for Quantitative Research Papers", 2013

[publication]Paiva, R.P. , "Machine Learning: Applications, Process and Techniques", 2013

[publication]Paiva, R.P. , "How to Write Good Scientific Papers: A Comprehensive Guide", 2013

[publication]Paiva, R.P. , "How to Write Good Scientific Project Proposals: A Comprehensive Guide", 2013

2006(1 publication)
[publication]Gómez, E. and Streich, S. and Ong, B. and Paiva, R.P. and Tappert, S. and Batke, J. and Poliner, G. and Ellis, D. and Bello, J. , "A Quantitative Comparison of Different Approaches for Melody Extraction from Polyphonic Audio Recording", 2006
[citation][year=2011]Fonseca N. (2011). “Singing voice resynthesis using concatenative-based techniques”, PhD Thesis, University of Porto, Portugal
[citation][year=2011]Serrà J. J. (2011). “Identification of versions of the same musical composition by processing audio descriptions”. PhD Thesis, Universitat Pompeu Fabra, Barcelona, Spain.
[citation][year=2011]???. "?? ?? ??? ?? ??? ?? ??? ?? ??." ?????? 16.4 (2011): 84-92.

[citation][year=2010]1. JL Durrieu (2010).  “Transcription et séparation automatique de la mélodie principale dans les signaux de musique polyphoniques”, PhD Thesis, Telecom Paris Tech
[citation][year=2008]Misra (2008). &#8220;Technical report on audio and speech processing&#8221;. Technical Report FP6-027026, K-Space D3.7
[citation][year=2008]Oudtshoorn B. (2008). &#8220;Investigating the Feasibility of Near Real-Time Music Transcription on Mobile Devices&#8221;. Internal Report, University of Western Australia.
[citation][year=2008]Rao V. and Rao P. (2008). &#8220;Vocal Melody Detection in the Presence of Pitched Accompaniment using Harmonic Matching Methods&#8221;. Proceedings of the International Conference on Digital Audio Effects &#8211; DAFx&#8217;08, Espoo, Finland
[citation][year=2008]Salamon J. (2008). &#8220;Chroma-based Predominant Melody and Bass Line Extraction from Music Audio Signals&#8221;. MSc Thesis, University Pompeu Fabra, Barcelona.
[citation][year=2007]Demopoulos R. J. and Katchabaw M. J. (2007). &#8220;Investigating the Feasibility of Near Real-Time Music Transcription on Mobile Devices&#8221;. Technical Report #677, University of Western Ontario, Canada.
[citation][year=2007]Poliner G., Ellis D., Ehmann A., Gomez E., Streich S. and Ong B. (2007).  &#8220;Melody Transcription from Music Audio: Approaches and Evaluation&#8221;. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 4, pp. 1247 - 1256.
[citation][year=2007]Reis G. and Fernandez Veja F. (2007). &#8220;Electronic synthesis using genetic algorithms for automatic music transcription&#8221;. Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, London, England.
[citation][year=2006]de Cheveigné A. (2006). &#8220;&#8220;Multiple F0 Estimation&#8221;, in Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, edited by DeLiang Wang and Guy J. Brown, John Wiley and sons.
[citation][year=2006]Lemvigh M. B. (2006). &#8220;Automatisk transskribering af musik&#8221;. Technical Report, University of Copenhagen, Denmark.

2002(1 publication)
[publication]Paiva, R.P. , "Content-Based Classification and Retrieval of Music: Overview and Research Trends", 2002