Journal Articles 2010(1 publication) [publication]António Oliveira and Amilcar Cardoso , "A Musical System for Emotional Expression", Knowledge-Based Systems, vol. 23, pp. 901-913, 2010 [citation][year=2015]Eigenfeldt, Arne, and Jim Bizzocchi and Miles Thorogood. "Applying Valence and Arousal Values to a Unified Video, Music, and Sound Generative Multimedia Work", GA2015 – XVIII Generative Art Conference [citation][year=2015]Williams, D., Kirke, A., Miranda, E., Daly, I., Hallowell, J., Weaver, J., Malik, A., Roesch, E., Hwang, F., Nasuto, S. (2015). "Investigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition", ACM Transactions on Applied Perception, 12(3): article 8. DOI: 10.1145/2749466 [citation][year=2014]Morreale, Fabio and De Angeli, Antonella and Masu, Raul and Rota, Paolo and Conci, Nicola "Collaborative creativity: The Music Room". Personal and Ubiquitous Computing 18(5):1187--1199. } [citation][year=2014]Wang, Hui-Min and Huang, Sheng-Chieh "Musical Rhythms Affect Heart Rate Variability: Algorithm and Models". Advances in Electrical Engineering. [citation][year=2014]P{\'e}rez Valencia, Juli{\'a}n Esteban and Mendoza Lareo, Santiago Eduardo "Sonia: interfaz para la producci{\'o}n musical en tiempo real integrando dispositivos de entrada". [citation][year=2014]Alexandraki, Chrisoula. "Real-time Machine Listening and Segmental Re-synthesis for Networked Music Performance." (2014). [citation][year=2013]Klugel, N., Groh, G. "Towards Mapping Timbre to Emotional Affect". New Interfaces for Musical Expression. [citation][year=2013]Chen, P., Lin, K., Chen, H. "Emotional Accompaniment Generation System Based on Harmonic Progression". IEEE Transactions on Multimedia. [citation][year=2013]Chen, P., Lin, K., Chen, H. "Automatic accompaniment generation to evoke specific emotion". IEEE International Conference on Multimedia and Expo (ICME), 1-6. [citation][year=2012]Liu, Y. and Liu, M. and Lu, Z., Song, M. "Extracting Knowledge from On-Line Forums for Non-Obstructive Psychological Counseling Q&A System". International Journal of Intelligence Science, Scientific Research Publishing, 2(2):40-48. [citation][year=2011]Wang, H., Lee, Y., Yen, B., Wang, C., Huang, S. and Tang, K. "A physiological valence/arousal model from musical rhythm to heart rhythm". IEEE International Symposium on Circuits and Systems, 1013-1016. Conference Articles 2013(1 publication) [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. 2012(1 publication) [publication]Matic, I. and António Oliveira and Amilcar Cardoso , "Automatic melody generation using Neural Networks and Cellular Automata", in 11th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 2012 [citation][year=2014]Goel, Kratarth, Raunaq Vohra, and J. K. Sahoo. "Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN." Artificial Neural Networks and Machine Learning–ICANN 2014. Springer International Publishing, 2014. 217-224. 2010(1 publication) [publication]López, A.R. and António Oliveira and Amilcar Cardoso , "Real-Time Emotion-Driven Music Engine", in International Conference on Computational Creativity, 2010 [citation][year=2015]Indurkhya, Bipin. "On the role of computers in creativity-support systems." Computational Creativity Research: Towards Creative Machines. Atlantis Press, 2015. 109-125. [citation][year=2013]Jordanous, Anna Katerina "Evaluating computational creativity: a standardised procedure for evaluating creative systems and its application". University of Sussex [citation][year=2013]Indurkhya, Bipin "On the role of computers in creativity-support systems". [citation][year=2012]Indurkhya, B. "Whence is Creativity?" International Conference on Computational Creativity, 62-66. [citation][year=2011]Jordanous, A. "Evaluating computational creativity: a Standardised Procedure for Evaluating Creative Systems and its application", PhD thesis. University of Sussex. Brighton, UK 2009(2 publications) [publication]António Oliveira and Amilcar Cardoso , "Automatic Manipulation of Music to Express Desired Emotions", in Sound and Music Computing, 2009 [citation][year=2013]Kirke, A., Miranda, E., Nasuto, S. "Artificial Affective Listening towards a Machine Learning Tool for Sound-Based Emotion Therapy and Control". Proceedings of 2013 Sound and Music Computing Conference. [citation][year=2013]Kirke, A., Miranda, E., Nasuto, S. "Learning to Make Feelings: Expressive Performance as a Part of a Machine Learning Tool for Sound-Based Emotion Control". From Sounds to Music and Emotions, 490-499. [citation][year=2011]Kirke, A. "Application of Intermediate Multi-Agent Systems to Integrated Algorithmic Composition and Expressive Performance of Music". University of Plymouth. [citation][year=2010]Livingstone, S., Muhlberger, R., Brown, A. and Thompson, W. "Changing musical emotion: A computational rule system for modifying score and performance". Computer Music Journal, 34(1):41-64. [publication]Ventura, F. and António Oliveira and Amilcar Cardoso , "An Emotion-Driven Interactive System", in Portuguese Conference on Artificial Intelligence, 2009 2008(5 publications) [publication]António Oliveira and Amilcar Cardoso , "Controling Music Affective Content: A Symbolic Approach", in Conference on Interdisciplinary Musicology, 2008 [publication]António Oliveira and Amilcar Cardoso , "Towards Bi-Dimensional Classification of Symbolic Music by Affective Content", in International Computer Music Conference, 2008 [citation][year=2013]Cote-Lapointe, S. "Indexation et classification de la musique: approches d'analyse musicale, descripteurs et plateformes de recherche". Recherche individuelle, Université de Montréal. [citation][year=2012]Baldan, S. and Barate, A., Ludovico, L.A. "Automatic Performance of Black and White n. 2: The Influence of Emotions Over Aleatoric Music". International Symposium on Computer Music Modeling and Retrieval (CMMR). [publication]António Oliveira and Amilcar Cardoso , "Modeling Affective Content of Music: A Knowledge Base Approach", in Sound and Music Computing Conference, 2008 [citation][year=2013]Lin, Y., Chen, X., Yang, D. "Exploration of Music Emotion Recognition Based on MIDI". 14th International Society for Music Information Retrieval Conference. [citation][year=2012]Drossos, K., Floros, A., Kanellopoulos, N. "Affective acoustic ecology: towards emotionally enhanced sound events". Proceedings of the 7th Audio Mostly Conference: A Conference on Interaction with Sound, 109-116. [citation][year=2011]Knautz, K., Neal, D., Schmidt, S., Siebenlist, T. and Stock, W.G. "Finding Emotional-Laden Resources on the World Wide Web". Information, 2(1):217-246. [citation][year=2011]Wallis, I., Ingalls, T., Campana, E. and Goodman, J. " A Rule-Based Generative Music System Controlled by Desired Valence and Arousal", Sound and Music Computing [publication]António Oliveira and Amilcar Cardoso , "Affective-Driven Music Production: Selection and Transformation of Music", in International Conference on Digital Arts - ARTECH, 2008 [publication]António Oliveira and Amilcar Cardoso , "Emotionally-Controlled Music Synthesis", in Encontro de Engenharia de Áudio da AES Portugal, 2008 [citation][year=2013]Klugel, N., Groh, G. "Towards Mapping Timbre to Emotional Affect". New Interfaces for Musical Expression. [citation][year=2012]den Brinker, B., van Dinther, R., Skowronek, J. "Expressed music mood classification compared with valence and arousal ratings". EURASIP Journal on Audio, Speech, and Music Processing, 1(1--14). [citation][year=2011]Psarras, V., Floros, A., Drosos, K., Strapatsakis, M. "Emotional control and visual representation using advanced audiovisual interaction". International Journal of Arts and Technology. [citation][year=2009]Psarras B., Floros A. and Strapatsakis M. "Elevator: Emotional Tracking using Audio/visual Interaction". 126th Convention of Audio Engineering Society 2007(3 publications) [publication]António Oliveira and Amilcar Cardoso , "Towards Affective-Psychophysiological Foundations for Music Production", in Affective Computing and Intelligent Interaction, 2007 [citation][year=2015]Cernea, Daniel. "User-Centered Collaborative Visualization." (2015). [citation][year=2014]Williams, Duncan, et al. "Investigating affect in algorithmic composition systems." Psychology of Music (2014): 0305735614543282. [citation][year=2014]Gungormusler, Alper. "barelyMusician: An Adaptive Music Engine For Interactive Systems." (2014). [citation][year=2014]Williams, Duncan and Kirke, Alexis and Miranda, Eduardo R and Roesch, Etienne and Daly, Ian and Nasuto, Slawomir "Investigating affect in algorithmic composition systems". Psychology of Music. [citation][year=2014]Gungormusler, Alper "barelyMusician: An Adaptive Music Engine For Interactive Systems" [citation][year=2013]Monteith, K., Brown, B., Ventura, D., Martinez, T. "Automatic Generation of Music for Inducing Physiological Response". 35th annual meeting of the Cognitive Science Society. [citation][year=2012]Monteith, K., Martinez, T., Ventura, D. "Automatic Generation of Melodic Accompaniments for Lyrics". International Conference on Computational Creativity, 87. [citation][year=2011]Caporusso, N. "The Body and the Mind “through the Lens” of Music: Exploiting Brain-Computer Interfaces and Embodied Music Cognition to Assess Sensorimotor Synchronization and Developmental Disorders", Cognitive Practices [citation][year=2010]Perry K., Martinez T. and Ventura D. "Automatic Generation of Music for Inducing Emotive Response", International Conference on Computational Creativity [citation][year=2010]Monteith K., Martinez T. and Ventura D. "Computational Modeling of Emotional Content in Music", Cognitive Science [publication]António Oliveira and Amilcar Cardoso , "A Computer System to Control Affective Content in Music Production", in Portuguese Conference on Artificial Intelligence, 2007 [publication]António Oliveira and Amilcar Cardoso , "Control of Affective Content in Music Production", in International Symposium on Performance Science, 2007 [citation][year=2011]Rad, R., Firoozabadi, M. and Rezazadeh, I. "Discriminating Affective States in Music Induction Environment Using Forehead Bioelectric Signals". 1st Middle East Conference on Biomedical Engineering, 343 - 346. 2006(1 publication) [publication]António Oliveira and Seco, N. and Paulo Gomes , "A CBR Approach to Text to Class Diagram Translation", in TCBR Workshop at the 8th European Conference on Case-Based Reasoning, 2006 [citation][year=2014]Bajwa, Imran Sarwar and Bordbar, Behzad and Lee, Mark. OCL usability: a major challenge in adopting UML. 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Generating UML Class Models from SBVR Software Requirements Specifications, Benelux Conference on Artificial Intelligence (BNAIC 2011), 23--32 [citation][year=2011]Naeem, M. and Bajwa, IS and Naeem, MA and Chaudhri, AA and Ali, S. A controlled Natural Language Interface to Class Models, SciTePress [citation][year=2010]Bajwa, I.S., 2010. Markov Logics Based Automated Business Requirements Analysis. In: International Journal, Vol. 2, No. 3. [citation][year=2010]Bajwa, I.S., Bordbar, B., Lee, M.G., 2010. OCL Constraints Generation from Natural Language Specification. In: International Enterprise Distributed Object Computing Conference, 204-213. [citation][year=2010]Krishnan, H., Samuel, P., 2010. Relative Extraction Methodology for class diagram generation using dependency graph. In: International Conference on Communication Control and Computing Technologies, 815-820. [citation][year=2009]Bajwa, I., Samad, A., Mumtaz, S., 2009. Object Oriented Software modeling Using NLP based Knowledge Extraction. In: European Journal of Scientific Research, 35(1):22-33. [citation][year=2009]Bajwa, I.S., Mumtaz, S., Choudhary, M.A. Knowledge Extraction using Rule Based Approach for OO Software Modeling. PhD Theses 2013(1 publication) [publication]António Oliveira , "A Musical System for Emotional Expression", 2013