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Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR, Ramya Rasipuram, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013
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Probabilistic Mining of Socio-Geographic Routines from Mobile Phone Data, Katayoun Farrahi and Daniel Gatica-Perez, in: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 4(4), 2010
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Probabilistic models for music, Jean-François Paiement, Ecole Polytechnique Fédérale de Lausanne, 2008
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Probability Occupancy Maps for Occluded Depth Images, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2829-2837, 2015
Processing Megapixel Images with Deep Attention-Sampling Models, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2019
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ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, Sina Sajadmanesh and Daniel Gatica-Perez, in: The 17th ACM International Conference on Web Search and Data Mining, 2024
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Programming by Demonstration for Shared Control with an Application in Teleoperation, M. Zeestraten, I. Havoutis and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 3(3):1848-1855, 2018
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Programming industrial robots from few demonstrations., Sylvain Calinon, in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023
Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction, Ngoc-Quang Luong and Andrei Popescu-Belis, in: Proceedings of the First Conference on Machine Translation (WMT16), Berlin, Germany, ACL, 2016
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Pronoun Translation and Prediction with or without Coreference Links, Ngoc-Quang Luong, Lesly Miculicich and Andrei Popescu-Belis, in: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Lisbon, Portugal, pages 94–100, 2015
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Protecting Mobile Food Diaries from Getting too Personal, Lakmal Buddika Meegahapola, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: 19th International Conference on Mobile and Ubiquitous Multimedia, Essen, Germany, pages 212–222, Association for Computing Machinery, 2020
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Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition, Michael McGreevy, in: Proceedings of SST 2004 (10th Australian International Conference on Speech Science & Technology,',','), Sydney, Australia, 2004, 2004
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Pulse-based Features for Face Presentation Attack Detection, Guillaume Heusch and Sébastien Marcel, in: Proceedings of BTAS 2018, special session on Image and Video Forensics in Biometrics, 2018
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Quantified Canine: Inferring Dog Personality From Wearables, Lakmal Buddika Meegahapola, Marios Constantinides, Zoran Radivojevic, Hongwei Li, Daniele Quercia and Michael S. Eggleston, in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI) 2023, Association for Computing Machinery, 2023
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Query Refinement Using Conversational Context: a Method and an Evaluation Resource, Maryam Habibi and Andrei Popescu-Belis, in: Proceedings of NLDB 2015 (20th International Conference on Applications of Natural Language to Information Systems), Passau, Germany, pages 89-102, Springer-Verlag Berlin, 2015
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Re-Identification for Improved People Tracking, Francois Fleuret, Horesh Ben Shitrit and Pascal Fua, in: Person Re-Identification, pages 311-336, Springer, 2014
Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: The International Symposium on Robotics Research, 2022
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Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: Robotic Research, pages 436-451, Springer, 2023
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