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2024
COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 2024
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Understanding the effects of language-specific class imbalance in multilingual fine-tuning, Vincent Jung and Lonneke van der Plas, in: Findings of the European chapter of Association for Computational Linguistics, 2024, 2024
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Vulnerability of Face Age Verification to Replay Attacks, Pavel Korshunov, Anjith George, Gokhan Ozbulak and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024
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Heterogeneous Face Recognition Using Domain Invariant Units, Anjith George and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
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Online Learning of Continuous Signed Distance Fields Using Piecewise Polynomials, Ante Marić, Yiming Li and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 9(6):6020-6026, 2024
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CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, Mrinmoy Bhattacharjee, Nigmatulina Iuliia, Amrutha Prasad, Pradeep Rangappa, Srikanth Madikeri, Petr Motlicek, Hartmut Helmke and Matthias Kleinert, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024
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Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, IEEE/CVF, 2024
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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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2023
Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
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Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023
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Learning diverse features in vision transformers for improved generalization, Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe and Damien Teney, in: ICML 2023: The Second Workshop on Spurious Correlations, Invariance and Stability, 2023
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