Journal Articles
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

2015(1 publication)
[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.

Conference Articles
2019(1 publication)
[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

2018(1 publication)
[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

2017(3 publications)
[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]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

2013(3 publications)
[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.