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Locally Private Graph Neural Networks, Sina Sajadmanesh and Daniel Gatica-Perez, in: ACM Conference on Computer and Communications Security (CCS), 2021
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Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Toronto, Canada, 2021
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Subjective and objective evaluation of deepfake videos, Pavel Korshunov and Sébastien Marcel, in: The international Conference on Acoustics, Speech, and Signal Processing, 2021
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Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets, Remy Siegfried and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 9, IEEE, 2021
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Optics Versus Computation: Influence of Illumination and Reconstruction Model Accuracy in Focal-Plane-Scanning Optical Projection Tomography, François Marelli and Michael Liebling, in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, pages 567-570, IEEE, 2021
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Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:1303-1317, 2021
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Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, Amlan Mohanty, Debasish Kumar Mallick, Shantipriya Parida and Satya Ranjan Dash, in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021
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Combining Social and Intrinsically-Motivated Learning for Multi-Task Robot Skill Acquisition, Thibaut Kulak and Sylvain Calinon, in: IEEE Transactions on Cognitive and Developmental Systems, 15(2):385-394, 2023
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A Laser-based Dual-arm System for Precise Control of Collaborative Robots, J. Silverio, G. Clivaz and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2021
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, Deborah Mendes and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Cost–effective Variational Active Entity Resolution, Alex Bogatu, Norman Paton, Mark Douthwaite, Stuart Davie and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2021
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Uncertainty Reduction for Model Adaptation in Semantic Segmentation, Prabhu Teja Sivaprasad and Francois Fleuret, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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A Bayesian Interpretation of the Light Gated Recurrent Unit, Alexandre Bittar and Philip N. Garner, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
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A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, Rudolf Braun, Srikanth Madikeri and Petr Motlicek, in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021
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Learning Optimal Impedance Control During Complex 3D Arm Movements, A. Naceri, T. Schumacher, Q. Li, Sylvain Calinon and H. Ritter, in: IEEE Robotics and Automation Letters (RA-L), 6(2):1248-1255, 2021
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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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Discourse Phenomena in Machine Translation, Lesly Miculicich, École polytechnique fédérale de Lausanne, 2020
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Challenges for Using Impact Regularizers to Avoid Negative Side Effects, David Lindner, Kyle Matoba and Alexander Meulemans, in: SafeAI 2021 - AAAI's Workshop on Artificial Intelligence Safety, 2021
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Exact Preimages of Neural Network Aircraft Collision Avoidance Systems, Kyle Matoba and Francois Fleuret, in: Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020, 2020
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