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Published in Journal of Machine Learning Research, 2016
Recommended citation: "Operator-valued kernels for learning from functional response data." Kadri, H., Duflos, E., Preux, P., Canu, S., Rakotomamonjy, A. and Audiffren, J. Journal of Machine Learning Research, 2016.
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Published in Advances in Neural Information Processing Systems, 2017
Recommended citation: "Bandits dueling on partially ordered sets." Audiffren, J. and Ralaivola, L. Advances in Neural Information Processing Systems, 2017.
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Published in International Conference on Machine Learning, 2021
Recommended citation: "Dichotomous Optimistic Search to Quantify Human Perception." Audiffren, J. International Conference on Machine Learning, 2021.
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Published in Preprint, 2024
Recommended citation: "Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers." Mondal, M., Dolamic, L., Bovet, G., Cudré-Mauroux, P. and Audiffren, J. Preprint, 2024.
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Published in Proceedings of the ACM on Web Conference 2024, 2024
Recommended citation: "Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging." Ostapuk, N., Audiffren, J., Dolamic, L., Mermoud, A. and Cudr{\'e}-Mauroux, P. Proceedings of the ACM on Web Conference 2024, 2024.
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Published in The Innovation, 2024
Recommended citation: "It’s not all in your feet: Improving penalty kick performance with human-avatar interaction and Machine Learning." Bloechle, J., Audiffren, J., Le, T., Alli, A., Simoni, D., W{\"u}thrich, G. and Bresciani, J. The Innovation, 2024.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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