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Credit Name
Panda, Renato
 
Name
Panda, Renato
 
Variants
Panda, Renato Eduardo Silva
 
 
 
Email
panda@dei.uc.pt
 
 
Ciência ID
 
Scopus Author ID
 
Researcher ID
 
Status
UC Researcher
Biography
Renato Panda is an Auxiliary Researcher (non-tenured) at the Smarter Cities Research Center (Ci2), Polytechnic Institute of Tomar (IPT), where he also lectures in Informatics Engineering. His main research line is related to information retrieval, specifically Music Emotion Recognition (MER), with more than 20 publications in the field, including three highly impactful papers in IEEE Transactions of Affective Computing over the last few years. Since concluding his doctoral thesis, honored with two Ph.D. awards, he has actively collaborated with other renowned R&D Units, such as the Centre for Informatics and Systems of the University of Coimbra (CISUC), where he currently co-supervises two Ph.D. students and several MSc and grant holders. He is part of two ongoing FCT R&D Projects (MERGE and Brainplayback, with an application acceptance rate of <10%). In addition to his main line, he collaborates on other applied research problems, mainly dealing with data analysis, machine learning, and software engineering. Examples include two concluded Compete/P2020 projects (VitaSenior and MovTour), where he mentored grand holders, or his recent participation in the COST Action Mobilise CA17106, dealing with machine learning on images of natural history collections. He is also one of the Open Science managers at the Ci2.
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Publications
(All)

Refined By:
Date Issued:  [2020 TO 2022]

Results 1-5 of 5 (Search time: 0.009 seconds).

Issue DateTitleAuthor(s)TypeAccess
12020Audio Features for Music Emotion Recognition: a SurveyPanda, Renato ; Malheiro, Ricardo ; Paiva, Rui Pedro articleopenAccess
21-Jul-2021How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?Panda, Renato ; Redinho, Hugo; Gonçalves, Carolina; Malheiro, Ricardo ; Paiva, Rui Pedro conferenceObjectopenAccess
310-Nov-2021MERGE Audio: Music Emotion Recognition next Generation – Audio Classification with Deep LearningSá, Pedro Marques Alegre demasterThesisopenAccess
415-Sep-2022MERGE Áudio 2.0Louro, Pedro Miguel LimamasterThesisopenAccess
52020Novel Audio Features for Music Emotion RecognitionPanda, Renato ; Malheiro, Ricardo ; Paiva, Rui Pedro articleembargoedAccess

Projects



Results 1-1 of 1 (Search time: 0.0 seconds).