Publications
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2026. Emerging AI Technologies for Music: Towards Controllable, Collaborative, and Creative Systems. Proceedings of Machine Learning Research, PMLR 303:1-5, 2026. 
bhandari26a.pdf (161.47 KB)
bhandari26a.pdf (161.47 KB).
2025. End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation. Proceedings of IJCNN, Rome, Italy.
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2025. An exploration of controllability in symbolic music infilling. IEEE Access.
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2022. EmoMV: Affective Music-Video Correspondence Learning Datasets for Classification and Retrieval. Information Fusion. SSRN-id4189323.pdf (2.01 MB)
SSRN-id4189323.pdf (2.01 MB).
2021. The Effect of Spectrogram Reconstructions on Automatic Music Transcription:An Alternative Approach to Improve Transcription Accuracy. Proceedings of the International Conference on Pattern Recognition (ICPR2020). 2010.09969.pdf (3.46 MB)
2010.09969.pdf (3.46 MB).
2021. Evaluating the Effectiveness of an Augmented Reality Game Promoting Environmental Action. Sustainability. 13(24):13912. sustainability-13-13912.pdf (16.23 MB)
sustainability-13-13912.pdf (16.23 MB).
2019. The emergence of deep learning: new opportunities for music and audio technologies. Neural Computing and Applications. main_preprint.pdf (102.16 KB)
main_preprint.pdf (102.16 KB).
2016. The Effect of Repetitive Structure on Enjoyment in Uplifting Trance Music. 14th International Conference for Music Perception and Cognition (ICMPC). :280-282. preprint_trance.pdf (139.27 KB)
preprint_trance.pdf (139.27 KB).
2015. The effect of repetitive structure on enjoyment and altered states in uplifting trance music. 2nd International Conference on Music and Consciousness (MUSCON 2), Brighton. AgresEtAl_muscon.pdf (12.47 KB)
AgresEtAl_muscon.pdf (12.47 KB)