| nnaudio: An on-the-fly gpu audio to spectrogram conversion toolbox using 1d convolutional neural networks KW Cheuk, H Anderson, K Agres, D Herremans IEEE Access 8, 161981-162003, 2020 | 106 | 2020 |
| A closed-loop, music-based brain-computer interface for emotion mediation SK Ehrlich, KR Agres, C Guan, G Cheng PloS one 14 (3), e0213516, 2019 | 99 | 2019 |
| Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being KR Agres, R Schaefer, A Volk, S van Hooren, A Holzapfel, S Dalla Bella, ... Music & Science, 2021 | 92 | 2021 |
| Evaluation of musical creativity and musical metacreation systems K Agres, J Forth, GA Wiggins Computers in Entertainment (CIE) 14 (3), 1-33, 2016 | 91 | 2016 |
| Music therapy during COVID-19: Changes to the practice, use of technology, and what to carry forward in the future KR Agres, K Foubert, S Sridhar Frontiers in Psychology 12, 647790, 2021 | 75 | 2021 |
| Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory K Agres, S Abdallah, M Pearce Cognitive Science, 1-34, 2017 | 74 | 2017 |
| Learning disentangled representations of timbre and pitch for musical instrument sounds using gaussian mixture variational autoencoders YJ Luo, K Agres, D Herremans arXiv preprint arXiv:1906.08152, 2019 | 61 | 2019 |
| From context to concept: exploring semantic relationships in music with word2vec CH Chuan, K Agres, D Herremans Neural Computing and Applications 32, 1023-1036, 2020 | 59 | 2020 |
| Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders YJ Luo, CC Hsu, K Agres, D Herremans ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 56 | 2020 |
| From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation S McGregor, K Agres, M Purver, G & Wiggins Journal of Artificial General Intelligence 6 (1), 55–86, 2015 | 37 | 2015 |
| Meta4meaning: Automatic metaphor interpretation using corpus-derived word associations P Xiao, K Alnajjar, M Granroth-Wilding, K Agres, H Toivonen International Conference on Computational Creativity, 230-237, 2016 | 35 | 2016 |
| The impact of audio input representations on neural network based music transcription KW Cheuk, K Agres, D Herremans 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 34 | 2020 |
| Music and motion-detection: A game prototype for rehabilitation and strengthening in the elderly K Agres, D Herremans 2017 International Conference on Orange Technologies (ICOT), 95-98, 2017 | 34 | 2017 |
| Musical expectancy: The influence of musical structure on emotional response CL Krumhansl, KR Agres Behavioral and Brain Sciences 31 (5), 584-585, 2008 | 34 | 2008 |
| Generating lead sheets with affect: A novel conditional seq2seq framework D Makris, KR Agres, D Herremans 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 31 | 2021 |
| A comparative study of mental states in 2D and 3D virtual environments using EEG P Bilgin, K Agres, N Robinson, AAP Wai, C Guan 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 30 | 2019 |
| Entraining IDyOT: timing in the information dynamics of thinking J Forth, K Agres, M Purver, GA Wiggins Frontiers in psychology 7, 1575, 2016 | 29 | 2016 |
| Ai-based affective music generation systems: A review of methods and challenges A Dash, K Agres ACM Computing Surveys 56 (11), 1-34, 2024 | 25 | 2024 |
| Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music K Agres, D Herremans, L Bigo, D Conklin Frontiers in Psychology: Cognitive Science 7, 2017 | 25 | 2017 |
| Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. K Agres, S McGregor, M Purver, GA Wiggins ICCC, 118-125, 2015 | 24 | 2015 |
Dorien HerremansAssociate professor, Singapore University of Technology and Design在 sutd.edu.sg 的电子邮件经过验证