Journal articles
Conference proceedings
  • J.P. Rivière, S. Fdili Alaoui, B. Caramiaux, and W. Mackay. How Do Dancers Learn To Dance? A first-person perspective of dance acquisition by expert contemporary dancersProceedings of the 5th International Symposium on Movement and Computing (MOCO). 2018
  • H. Scurto, F. Bevilacqua and B. Caramiaux. Perceiving Agent Collaborative Sonic Exploration in Interactive Reinforcement Learning. In Proceedings of the 15th Sound and Music Computing Conference (SMC’18)
  • E. Thoret, B. Caramiaux, P. Depalle, and S. McAdams. Human dissimilarity ratings of musical instrument timbre: A computational meta-analysis. The Journal of the Acoustical Society of America 143 (3), 1745-1746, 2018
  • B. Caramiaux, F. Bevilacqua, C. Palmer, M. Wanderley. Individuality in Piano Performance Depends on Skill LearningProceedings of the 4th International Symposium on Movement and Computing (MOCO). 2017
  • Á. Sarasúa, B. Caramiaux, A. Tanaka, and M. Ortiz. Datasets for the Analysis of Expressive Musical Gestures. Proceedings of the 4th International Conference on Movement Computing, 13, 2017
  • F. Bevilacqua, B. Caramiaux, and J. Françoise. Perspectives on Real-time Computation of Movement CoarticulationProceedings of the 3rd International Symposium on Movement and Computing (MOCO). 2016
  • M. Gillies, R. Fiebrink, A. Tanaka, J. Garcia, S. Amershi, B. Lee, F. Bevilacqua, A. Heloir, F. Nunnari, W. Mackay, T. Kulesza, B. Caramiaux. Human-Centered Machine Learning. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Extended Abstract. 2016
Book Chapters
  • B. Caramiaux, J. Françoise, and F. Bevilacqua. Bayesian Temporal Models for Musical InteractionRoutledge Companion to Embodied Music Interaction, 2017
  • F. Bevilacqua, N. Schnell, J. Françoise, E.O. Boyer, D. Schwarz, and B. Caramiaux. Designing action-sound metaphors using motion sensing and descriptor-based synthesis of recorded sound materials. Routledge Companion to Embodied Music Interaction, 2017