Research
Projects
Below is a list of selected projects:
- MERGE (Music Emotion Recognition, Next Generation): 2022-2025 [URL]
- MOODetector: 2010-2013 [URL]
- SRS (Semantic Reuse System) [URL]
- SER (Software Entity Recognition)
- AnCorp (Corpora Analysis)
- Blockchain [URL]
Other Projects
- EASMG (Emotion Annotation System in Music using Gamification techniques): 2024 [URL]
- ISAWS (Intelligent Sentiment Analysis Web System): 2024 [URL]
- LMER-FE (Lyrics Music Emotion Recognition - Feature Extractor): 2023 [URL]
- TMTool (Text Mining Application Tool): 2023 [URL]
Publications
Below is a list of selected publications:
Books
- Ricardo Malheiro. Emotions Detection in Music Lyrics using Machine Learning and Keyword-Based Approaches. Novas Edições Académicas, ISBN-13: 978-6202188548, 216 pages, 2018. [URL]
Thesis
- PhD Thesis: Ricardo Malheiro, Emotion-Based Analysis and Classification of Music Lyrics, Ph.D. Dissertation, University of Coimbra, 2017. [PDF]
- Master's Thesis: Ricardo Malheiro, Automatic Classification Systems in Musical Genres*, M.S. Thesis, University of Coimbra - Department of Informatics Engineering, 2004. [PDF]
- Bachelor's Thesis: Ricardo Malheiro, Web Technology Application in Multimedia Kiosks, 1997.
Journal Papers
- António, J., Malheiro, R., Jardim, S. (2024). Feedback Collection and Nearest Neighbor Profiling for Recommendation Systems in Healthcare Scenarios, Technologies, MDPI, 12(8), 127 [DOI], [PDF]
- Louro, P., Redinho, H., Malheiro, R., Paiva, R. P., Panda, R. (2024). A Comparison Study of Deep Learning Methodologies for Music Emotion Recognition, Sensors, in Sensors, vol. 24, no. 7. [DOI], [PDF]
- Panda, R., Malheiro, R., Paiva, R. P. (2023). Audio Features for Music Emotion Recognition: A Survey. IEEE Transactions on Affective Computing. vol. 14, no. 1, pp. 68-88. [DOI], [PDF]
- Panda, R., Malheiro, R., Paiva, R. P. (2020). Novel Audio Features for Music Emotion Recognition. IEEE Transactions on Affective Computing. vol. 11, no. 4, pp. 614-626. [DOI], [PDF]
- Malheiro, R., Panda, R., Gomes, P., Paiva, R. P. (2018). Emotionally Relevant Features for Classification and Regression of Music Lyrics. IEEE Transactions on Affective Computing, Vol. 9(2), pp. 240-254. [DOI], [PDF]
- Malheiro, R., Paiva, R. P., Mendes, A. J., Mendes, T. and Cardoso, A. (2004). Sistemas de Classificação Musical com Redes Neuronais, Gestão e Desenvolvimento, vol. 12, pp. 167-195. [DOI], [PDF]
Conference Papers
- Redinho, H., Louro, P., Santos, A., Malheiro, R., Paiva, R. P., Panda, R. (2024). Exploiting Automatic Source Separation and Music Transcription for Music Emotion Recognition. in Proc. of Workshop on Affective Artificial Intelligence (A2I) at 27th International Conference on Pattern Recognition, Kolkata, India, 2024. (ICPR 2024) [DOI], [PDF]
- Louro, P., Redinho, H., Malheiro, R., Paiva, R. P., Panda, R. (2024). Improving Music Emotion Recognition By Leveraging Handcrafted And Learned Features. in Proc. of the 1st Latin American Music Information Retrieval Workshop, Rio de Janeiro, Brazil, 2024 (LAMIR 2024). [DOI], [PDF]
- Ferreira, T. G., Redinho, H., Louro, P., Malheiro, R., Paiva, R. P., Panda, R. (2024). Exploring Song Segmentation for Music Emotion Variation Detection. in 15th International Workshop on Machine Learning and Music – MML 2024 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2024, 2024. [DOI], [PDF]
- Louro, P., Branco, G., Redinho, H., Santos, R., Malheiro, R., Panda, R., Paiva, R. P. (2024). MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management. in 16th International Conference on Knowledge Discovery and Information Retrieval (KDIR), part of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), 2024. [DOI], [PDF]
- Louro, P., Redinho, H., Malheiro, R., Paiva, R. P., Panda, R. (2024). Improving Deep Learning Methodologies for Music Emotion Recognition. in 30th Portuguese Conference on Pattern Recognition – RECPAD 2024, Covilhã, Portugal, 2024. [DOI], [PDF]
- Louro, P., Redinho, H., Malheiro, R., Paiva, R. P., Panda, R. (2024). Exploring Deep Learning Methodologies for Music Emotion Recognition. in Sound and Music Computing Conference – SMC 2024, 2024. [DOI], [PDF]
- Panda, R., Redinho, H., Gonçalves, C., Malheiro, R., Paiva, R. P. (2021). How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?. in Proceedings of the 18th Sound and Music Computing Conference (SMC 2021), pp. 238-245. [DOI], [PDF]
- Panda, R., Malheiro, R. and Paiva, R. P. (2018). Musical Texture and Expressivity Features for Music Emotion Recognition. in 19th International Society for Music Information Retrieval Conference – ISMIR 2018, Paris, France, September 23 27. [DOI], [PDF]
- Malheiro, R., Panda, R., Gomes, P. and Paiva R. P. (2016). Classification and Regression of Music Lyrics: Emotionally Significant Features. in 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR 2016, Porto, Portugal, November 9 11. [DOI], [PDF]
- Malheiro, R., Oliveira, H. G., Gomes, P. and Paiva, R. P. (2016). Keyword Based Approach for Lyrics Emotion Variation Detection. in 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR 2016, Porto, Portugal, November 9 11. [DOI], [PDF]
- Malheiro, R., Panda, R., Gomes, P. and Paiva, R. P. (2016). Bi Modal Music Emotion Recognition: Novel Lyrical Features and Dataset. in 9th International Workshop on Machine Learning and Music– MML 2016 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2016, Riva del Garda, Italy, September 23. [PDF]
- Panda, R., Malheiro, R., Rocha, B., Oliveira, A. and Paiva, R. P. (2013). 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, October 15 18. [PDF]
- Malheiro, R., Panda, R., Gomes, P. and Paiva, R. P. (2013). “Music Emotion Recognition from Lyrics: A Comparative Study”. in 6th International Workshop on Machine Learning and Music– 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, September 23. [PDF]
- Reis, F. and Malheiro, R. 2012. Jogos em ambiente 3D com uso de QR Codes para avaliação de alunos. In: ENCONTRO SOBRE JOGOS E MOBILE LEARNING. Coimbra. [PDF]
- Reis, F. and Malheiro, R. 2011. Umniversity Platform - Four Integration Vectors Towards Mobile Learning. In: IADIS INTERNATIONAL CONFERENCE FOR MOBILE LEARNING. Ávila. [PDF]
- Burrows, C. and Malheiro, R. 2008. Using Information Retrieval Techniques for Keyword and Evaluation Extraction. In: IADIS INTERNATIONAL CONFERENCE FOR INFORMATION SYSTEMS. Algarve. [PDF]
- Malheiro, R., Paiva, R. P., Mendes, A. J., Mendes, T. and Cardoso, A. (2004). A Prototype for Classification of Classical Music using Neural Networks. 8th IASTED International Conference on Artificial Intelligence and Soft Computing – ASC 2004, pp. 294 299, Marbella, Spain, September 1 3. ISBN: 0-88986-452-7. [PDF]
- Malheiro, R., Paiva, R. P., Mendes, A. J., Mendes, T. and Cardoso, A. (2004). Classification of Recorded Classical Music: A Methodology and a Comparative Study. 1st International Symposium on Brain Inspired Cognitive Systems – BICS 2004, Stirling, Scotland, UK, August 29 September 1. ISBN: 1-85769-199-7. [PDF]
- Malheiro, R., Paiva, R. P., Mendes, A. J., Mendes, T. and Cardoso, A. (2004). Classification of Recorded Classical Music Using Neural Networks. 4th International Symposium on Engineering of Intelligent Systems – EIS 2004, Funchal, Portugal, February 29 March 2. ISBN: 3-906454-35-5. [PDF]
Supervisions
Below the list of current PhD students. Due to the large number, I do not identify here students who I supervise at Master’s, Bachelor’s, or Tesp degrees (present or past).
PhD Students
- Shafiq Rai: (started 2024): Advancing Music Emotion Recognition through High-Level Linguistic Features and Enhanced Predictive Modeling. Doctoral Program in Informatics Engineering, University of Coimbra. Main Supervisor.
- Tiago Ribeiro: (started 2024): Conditioned Cross-Modal Music and Lyrics Generation. Doctoral Program in Informatics Engineering, University of Coimbra. Main Supervisor.
- Ricardo Correia: (started 2023): Feature Engineering and Deep Learning for Lyrics-based Music Emotion Recognition. Doctoral Program in Informatics Engineering, University of Coimbra. Main Supervisor.
- Pedro Louro: (started 2022): Feature Engineering and Deep Learning for Audio-based Music Emotion Recognition. Doctoral Program in Informatics Engineering, University of Coimbra. Co-Supervisor.
Article Reviews and Guest Editor
Article Reviews
- I have conducted dozens of reviews for journals and conferences, many of which are Q1 and/or classified as A-level, such as IEEE Transactions on Affective Computing, Journal of Ambient Intelligence and Humanized Computing, Journal of New Music Research, IEEE Signal Processing Letters, IEEE Access, etc.