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DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews, Sergio Burdisso, Ernesto A. Reyes-Ramírez, Esaú Villatoro-Tello, Fernando Sánchez-Vega, A. Pastor López-Monroy and Petr Motlicek, in: Proceedings of the 6th Clinical Natural Language Processing Workshop, Mexico City, Mexico, pages 82–90, Association for Computational Linguistics, 2024
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Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, Sergio Burdisso, Dairazalia Sanchez-Cortes, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, pages 6900–6918, Association for Computational Linguistics, 2024
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Online Classifier Adaptation in High Frequency EEG, Anna Buttfield, Pierre W. Ferrez and José del R. Millán, in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006
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Towards a Robust BCI: Error Potentials and Online Learning, Anna Buttfield, Pierre W. Ferrez and José del R. Millán, in: IEEE Trans. on Neural Systems and Rehabilitation Engineering, 14(2), 2006
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Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, Sylvain Calinon, in: IEEE Robotics and Automation Magazine (RAM), 2020
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A Tutorial on Task-Parameterized Movement Learning and Retrieval, Sylvain Calinon, in: Intelligent Service Robotics, 9(1):1-29, 2016
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Stochastic learning and control in multiple coordinate systems, Sylvain Calinon, in: Intl Workshop on Human-Friendly Robotics, Genoa, Italy, pages 1-5, 2016
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Robot Learning with Task-Parameterized Generative Models, Sylvain Calinon, in: Proc. Intl Symp. on Robotics Research, 2015
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Skills Learning in Robots by Interaction with Users and Environment, Sylvain Calinon, in: In Proc. of the Intl Conf. on Ubiquitous Robots and Ambient Intelligence (URAI), Kuala Lumpur, Malaysia, pages 161-162, 2014
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Learning from Demonstration (Programming by Demonstration), Sylvain Calinon, in: Encyclopedia of Robotics, Springer, 2019
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Robot Learning with Task-Parameterized Generative Models, Sylvain Calinon, in: Robotics Research, pages 111-126, Springer, 2018
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Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, Sylvain Calinon, in: Mixture Models and Applications, pages 39-57, Springer, 2019
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A task-parameterized probabilistic model with minimal intervention control, Sylvain Calinon, D. Bruno and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3339 - 3344, IEEE, 2014
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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
Learning Control, Sylvain Calinon and D. Lee, in: Humanoid Robotics: a Reference, pages 1261-1312, Springer, 2019
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Voice-B System, Gilles Caloz, Cédric Jaboulet, Johnny Mariéthoz, A. Glaeser and Dominique Genoud, in: IEEE 4th Workshop on Intercative Voice Technology for Telecommunications Applications (IVTTA'98) September 29--30, Torino, Italy, 1998
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method, Francesco Camastra and Alessandro Vinciarelli, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10), 2002
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Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds, Gulcan Can, Yassir Benkhedda and Daniel Gatica-Perez, in: IEEE CVPR Workshop on Visual Understanding of Subjective Attributes, 2018
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Maya Codical Glyph Segmentation: A Crowdsourcing Approach, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: IEEE Transactions on Multimedia, 20(3):711-725, 2018
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How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: ACM Journal on Computing and Cultural Heritage (JOCCH), 11(4):20, 2018
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Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep?, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: 15th International Workshop on Content-Based Multimedia Indexing, 2017
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Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning, Gulcan Can, École Polytechnique Fédérale de Lausanne, 2017
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Evaluating Shape Representations for Maya Glyph Classification, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: ACM Journal on Computing and Cultural Heritage (JOCCH), 9(3), 2016
Is That a Jaguar? Segmenting Ancient Maya Glyphs via Crowdsourcing, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: Proc. ACM Int. Workshop on Crowdsourcing for Multimedia, Orlando, pages 37-40, ACM New York, 2014
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Object Detection with Active Sample Harvesting, Olivier Canévet, École Polytechnique Fédérale de Lausanne, 2017
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Large Scale Hard Sample Mining with Monte Carlo Tree Search, Olivier Canévet and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
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Efficient Sample Mining for Object Detection, Olivier Canévet and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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The MuMMER data set for Robot Perception in multi-party HRI Scenarios, Olivier Canévet, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020
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Importance Sampling Tree for Large-scale Empirical Expectation, Olivier Canévet, Cijo Jose and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016
Sample Distillation for Object Detection and Image Classification, Olivier Canévet, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation, Yuanzhouhan Cao, Olivier Canévet and Jean-Marc Odobez, in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, SPAIN, pages 1089-1094, IEEE, 2018
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