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Modeling Overlapping Speech using Vector Taylor Series, Pranay Dighe, Marc Ferras and Hervé Bourlard, in: Odyssey: The Speaker and Language Recognition Workshop, Joensuu, Finland, 2014
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Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition, Pranay Dighe, Gil Luyet, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5690-5694, IEEE, 2016
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Ensembles for Sequence Learning, Christos Dimitrakakis, École Polytechnique Fédérale de Lausanne, 2006
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Nearly optimal exploration-exploitation decision thresholds, Christos Dimitrakakis, in: Int. Conf. on Artificial Neural Networks (ICANN), 2006
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Gradient estimates of return distributions, Christos Dimitrakakis and Samy Bengio, in: PASCAL Workshop on Principled Methods of Trading Exploration and Exploitation, 2005
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Boosting word error rates, Christos Dimitrakakis and Samy Bengio, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2005
Boosting HMMs with an application to speech recognition, Christos Dimitrakakis and Samy Bengio, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004
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Online Policy Adaptation for Ensemble Classifiers, Christos Dimitrakakis and Samy Bengio, in: 12th European Symposium on Artificial Neural Networks, ESANN 04, 2004
The segmentation of multi-channel meeting recordings for automatic speech recognition, John Dines, Jithendra Vepa and Thomas Hain, in: Int. Conf. on Spoken Language Processing (Interspeech ICSLP), 2006
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Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: IEEE Journal of Selected Topics in Signal Processing, in print, 2010
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Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: Proceedings of Interspeech, Brighton, U.K., 2009
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Regularized Bundle Methods for Convex and Non-Convex Risks, Trinh-Minh-Tri Do and Thierry Artieres, in: Journal of Machine Learning Research, 13:3539-3583, 2012
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Neural conditional random fields, Trinh-Minh-Tri Do and Thierry Artieres, in: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna, Sardinia, Italy, JMLR: W&CP, 2010
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Contextual Conditional Models for Smartphone-based Human Mobility Prediction, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: Proceedings of the 14th ACM International Conference on Ubiquitous Computing, 2012
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GroupUs: Smartphone Proximity Data and Human Interaction Type Mining, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: 15th annual International Symposium on Wearable Computers, San Francisco, USA, 2011
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By their apps you shall understand them: mining large-scale patterns of mobile phone usage, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: The 9th International Conference on Mobile and Ubiquitous Multimedia, 2010
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Passive Bimanual Skills Learning from Demonstration with Motion Graph Attention Networks, Z. Dong, Z. Li, Y. Yan, Sylvain Calinon and F. Chen, in: IEEE Robotics and Automation Letters (RA-L), 7(2):4917-4923, 2022
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