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From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition, Anjith George and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024
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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias, Anjith George and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Cross Modal Focal Loss for RGBD Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: International Joint Conference on Biometrics (IJCB 2021), 2021
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Multi-channel Face Presentation Attack Detection Using Deep Learning, Anjith George and Sébastien Marcel, in: Deep Learning-Based Face Analytics, Springer International Publishing, 2021
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An agonist-antagonist pitch production model, Branislav Gerazov and Philip N. Garner, in: Lecture Notes in Artificial Intelligence: 18th International Conference, SPECOM 2016, Budapest, Hungary, pages 84--91, 2016
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An Investigation of Muscle Models for Physiologically Based Intonation Modelling, Branislav Gerazov and Philip N. Garner, in: Proceedings of the 23rd Telecommunications Forum, pages 468--471, 2015
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Exploiting Accelerometers to Improve Movement Classification for Prosthetics, Arjan Gijsberts and Barbara Caputo, in: International Conference on Rehabilitation Robotics, 2013
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Object Recognition using Visuo-Affordance Maps, Arjan Gijsberts, Tatiana Tommasi, Giorgio Metta and Barbara Caputo, in: International Conference on Intelligent Robots and Systems, Taipei, pages 1572-1578, IEEE, 2010
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Local Machine Learning Models for Spatial Data Analysis, Nicolas Gilardi and Samy Bengio, in: Journal of Geographic Information and Decision Analysis, 4(01), 2000
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Conditional Gaussian Mixture Models for Environmental Risk Mapping, Nicolas Gilardi, Samy Bengio and Mikhail Kanevski, in: IEEE International Workshop on Neural Networks for Signal Processing (NNSP), 2002
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Environmental and Pollution Spatial Data Classification with Support Vector Machines and Geostatistics, Nicolas Gilardi, Mikhail Kanevski, Michel Maignan and Eddy Mayoraz, in: Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications. Workshop W07, 1999
Confidence Evaluation for Risk Prediction, Nicolas Gilardi, Tom Melluish and Michel Maignan, in: 2001 Annual Conference of the IAMG, 2001
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Sequential Design of Computer Experiments, David Ginsbourger, in: Wiley StatsRef: Statistics Reference Online, Wiley, 2018
Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs, David Ginsbourger, Jean Baccou, Clément Chevalier and Frédéric Perales, in: mODa 11 - Advances in Model-Oriented Design and Analysis, pages 123-131, Springer International Publishing, 2016
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On ANOVA Decompositions of Kernels and Gaussian Random Field Paths, David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande and Nicolas Lenz, in: Monte Carlo and Quasi-Monte Carlo Methods, pages 315-330, Springer International Publishing, 2016
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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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Active Improvement of Control Policies with Bayesian Gaussian Mixture Model, Hakan Girgin, E. Pignat, N. Jaquier and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020
Investigating Lexical Substitution Scoring for Subtitle Generation, Oren Glickman, Ido Dagan, Mikaela Keller, Samy Bengio and Walter Daelemans, in: Proceedings of the 10th Conference on Computational Natural Language Learning (CoNLL)., 2006
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