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ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, and , 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, , and , in: IEEE Robotics and Automation Letters (RA-L), 3(3):1848-1855, 2018 |
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Programming industrial robots from few demonstrations., , in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023 |
Progress report of a project in very low bit-rate speech coding, , and , Idiap-RR-08-2012 |
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PROMPT: Probabilistic Motion Primitives based Trajectory Planning, , , and , in: Proceedings of Robotics: Science and Systems, 2021 |
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Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction, and , 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, , and , in: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Lisbon, Portugal, pages 94–100, 2015 |
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Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic, , and , in: 4th Biennial Workshop on Less-Resourced Languages, 2015 |
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Pronunciation models and their evaluation using confidence measures, and , Idiap-RR-29-2001 |
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Prosody in Swiss French Accents: Investigation using Analysis by Synthesis, , , and , Idiap-RR-04-2014 |
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Prosody in Swiss French Accents: Investigation using Analysis by Synthesis, , , and , in: Speech Prosody, 2014 |
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Prospects on Brain-Machine Interfaces for Space System Control, , , , , , , , , , , , , , , , , and , in: Proceedings of the 57th International Astronautical Conference, 2006 |
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Protecting Mobile Food Diaries from Getting too Personal, , and , in: 19th International Conference on Mobile and Ubiquitous Multimedia, Essen, Germany, pages 212–222, Association for Computing Machinery, 2020 |
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Pruning of Neural Networks, and , Idiap-RR-03-1997 |
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Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition, , in: Proceedings of SST 2004 (10th Australian International Conference on Speech Science & Technology,',','), Sydney, Australia, 2004, 2004 |
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Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition, , Idiap-RR-55-2004 |
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Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using Deep Models, , and , in: Union World Conference on Lung Health, The Union, 2022 |
Pulse-based Features for Face Presentation Attack Detection, and , in: Proceedings of BTAS 2018, special session on Image and Video Forensics in Biometrics, 2018 |
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pyannote.audio: neural building blocks for speaker diarization, , , , , , , , and , in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 |
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Quantified Canine: Inferring Dog Personality From Wearables, , , , , and , 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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Quantifying uncertainties on excursion sets under a Gaussian random field prior, , , and , in: SIAM/ASA J. Uncertainty Quantification, 4(1):850-874, 2016 |
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Quantization and Pruning of Multilayer Perceptrons: Towards Compact Neural Networks, and , Idiap-Com-02-1997 |
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Query Refinement Using Conversational Context: a Method and an Evaluation Resource, and , 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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Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information, , and , Idiap-RR-16-2016 |
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Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information, , and , in: Data & Knowledge Engineering Journal, 2016 |
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Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis, , , and , in: Building Simulation, 2022 |
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Rapport with Virtual Agents: What do Human Social Cues and Personality Explain?, , and , in: IEEE Transactions on Affective Computing, 8(3):382-395, 2017 |
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Raw Speech Signal-based Continuous Speech Recognition using Convolutional Neural Networks, , and , Idiap-RR-15-2014 |
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Re-Identification for Improved People Tracking, , and , in: Person Re-Identification, pages 311-336, Springer, 2014 |
Reactive Anticipatory Robot Skills with Memory, , and , in: The International Symposium on Robotics Research, 2022 |
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Reactive Anticipatory Robot Skills with Memory, , and , in: Robotic Research, pages 436-451, Springer, 2023 |
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Readback Error Detection by Automatic Speech Recognition and Understanding -- Results of HAAWAII Project for Isavia’s Enroute Airspace, , , , , , , , , and , in: 11th SESAR Innovation Days, SESAR, pages 9, 2022 |
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Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, , , , , , , , , , , , , and , in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021 |
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Reading Companion: The Technical and Social Design of an Automated Reading Tutor, , , , , and , in: Workshop on Child, Computer and Interaction, Portland, Oregon, U.S.A., 2012 |
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Real-Time ASR from Meetings, , , , , , , , and , in: Proceedings of Interspeech, Brighton, UK., 2009 |
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Real-Time ASR from Meetings, , , , , , , , and , Idiap-RR-15-2009 |
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Real-Time Audio-Visual Analysis for Multiperson Videoconferencing, , , , , , , , and , in: Advances in Multimedia, 2013:21, 2013 |
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Real-time Convolutional Networks for Depth-based Human Pose Estimation, , , and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018 |
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Real-Time DCT Learning-based Reconstruction of Neural Signals, , and , in: EUSIPCO, 2018 |
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Real-Time Face Detection Using Boosting Learning in Hierarchical Feature Spaces, , and , in: the International Conference on Pattern Recognition (ICPR), 2004 |
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Real-Time Face Detection Using Boosting Learning in Hierarchical Feature Spaces, , and , Idiap-RR-70-2003 |
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Real-time model learning using Incremental Sparse Spectrum Gaussian Process Regression, and , in: Neural Networks, 2012 |
Real-time Multiple Head Tracking Using Texture and Colour Cues, and , Idiap-RR-02-2017 |
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Real-Time Segmentation Networks should be Latency Aware, and , in: Asian Conference on Computer Vision, 2020 |
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Réalisation d'un Majordome vocal, , Idiap-Com-04-1997 |
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Reasoning over vision and language: Exploring the benefits of supplemental knowledge, , , and , in: arXiv, 2022 |
Rebuilding Speech Recognition on Windows, , Idiap-Com-09-2001 |
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Recent Advances in Face Presentation Attack Detection, , , and , in: Handbook of Biometric Anti-Spoofing, Springer, 2019 |
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Recent advances in the multi-stream HMM/ANN hybrid approach to noise robust ASR, and , Idiap-RR-57-2002 |
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Recent Developments in Social Signal Processing, , and , in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pages 380-385, 2011 |
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