Paiva, Rui Pedro
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Credit Name
Paiva, Rui Pedro
Name
Paiva, Rui Pedro
Variants
Paiva, Rui Pedro
Ciência ID
Scopus Author ID
Status
UC Researcher
Biography
Rui Pedro Paiva is a Professor at the Department of Informatics Engineering of the University of Coimbra. He concluded his Doctoral, Master and Bachelor (Licenciatura - 5 years) degrees, all in Informatics Engineering at the University of Coimbra, in 2007, 1999 and 1996, respectively.
Prof. Dr. Rui Pedro Paiva is a member of the Cognitive and Media Systems and Adaptive Computation research groups at the Center for Informatics and Systems of the University of Coimbra (CISUC). His main research interests are in the areas of Music Information Retrieval (MIR) and Medical Informatics. The common research "hat" is the study of feature engineering, applied machine learning and digital signal processing techniques applied to bio and musical signals. He has coordinated and participated in several projects in the above fields and publishes actively in the main conferences and journals in his areas of research, with a record of over 100 papers in scientific journals and conferences.
In 2004, his algorithm for melody detection in polyphonic audio won the ISMIR 2004 Audio Description Contest - melody extraction track, the 1st worldwide contest devoted to MIR methods.
In October 2012, he and his doctoral student Renato Panda developed an algorithm that performed best in the MIREX 2012 Audio Train/Test: Mood Classification task. More details in http://www.music-ir.org/nema_out/mirex2012/results/act/ mood_report/summary.html.
Prof. Dr. Rui Pedro Paiva is a member of the Cognitive and Media Systems and Adaptive Computation research groups at the Center for Informatics and Systems of the University of Coimbra (CISUC). His main research interests are in the areas of Music Information Retrieval (MIR) and Medical Informatics. The common research "hat" is the study of feature engineering, applied machine learning and digital signal processing techniques applied to bio and musical signals. He has coordinated and participated in several projects in the above fields and publishes actively in the main conferences and journals in his areas of research, with a record of over 100 papers in scientific journals and conferences.
In 2004, his algorithm for melody detection in polyphonic audio won the ISMIR 2004 Audio Description Contest - melody extraction track, the 1st worldwide contest devoted to MIR methods.
In October 2012, he and his doctoral student Renato Panda developed an algorithm that performed best in the MIREX 2012 Audio Train/Test: Mood Classification task. More details in http://www.music-ir.org/nema_out/mirex2012/results/act/ mood_report/summary.html.
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Publications
(All)
Date issued
Type
Fulltext
Results 1-6 of 6 (Search time: 0.018 seconds).
| Issue Date | Title | Author(s) | Type | Access | |
|---|---|---|---|---|---|
| 1 | 2020 | Audio Features for Music Emotion Recognition: a Survey | Panda, Renato ; Malheiro, Ricardo ; Paiva, Rui Pedro | article | openAccess |
| 2 | 2023 | Audio Features for Music Emotion Recognition: A Survey | Panda, Renato ; Malheiro, Ricardo ; Paiva, Rui Pedro | article | openAccess |
| 3 | 2024 | A Comparison Study of Deep Learning Methodologies for Music Emotion Recognition | Louro, Pedro Lima; Redinho, Hugo; Malheiro, Ricardo Manuel da Silva ; Paiva, Rui Pedro ; Panda, Renato | article | openAccess |
| 4 | 8-May-2019 | Emotion-based Analysis and Classification of Audio Music | Panda, Renato Eduardo Silva | doctoralThesis | openAccess |
| 5 | 2018 | Emotionally-Relevant Features for Classification and Regression of Music Lyrics | Malheiro, Ricardo ; Panda, Renato Eduardo Silva ; Gomes, Paulo; Paiva, Rui Pedro Pinto de Carvalho e | article | embargoedAccess |
| 6 | 2011 | MOODetector: A Prototype Software Tool for Mood-based Playlist Generation | Cardoso, Luís; Panda, Renato ; Paiva, Rui Pedro | conferenceObject | openAccess |
Projects
(Principal Investigator)
Results 1-1 of 1 (Search time: 0.0 seconds).
| Title | P-Investigator |
|---|---|
| MOODETECTOR - A SYSTEM FOR MOOD-BASED CLASSIFICATION AND RETRIEVAL OF AUDIO MUSIC | Paiva, Rui Pedro |