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Mixture Models for Unsupervised and Supervised Learning, Perry Moerland, École Polytechnique Fédérale de Lausanne, Computer Science Department, 2000
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A comparison of mixture models for density estimation, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999
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Classification using localized mixtures of experts, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999
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Hardware-Friendly Learning Algorithms for Neural Networks: An Overview, Perry Moerland and Emile Fiesler, in: Proceedings of the Fifth International Conference on Microelectronics for Neural Networks and Fuzzy Systems: MicroNeuro'96, EPFL and CSEM, Lausanne, Switzerland, IEEE Computer Society Press, 1996
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Neural Network Adaptations to Hardware Implementations, Perry Moerland and Emile Fiesler, in: Handbook of Neural Computation, Institute of Physics Publishing and Oxford University Publishing, 1997
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Overcoming Inaccuracies in Optical Multilayer Perceptrons, Perry Moerland, Emile Fiesler and Indu Saxena, in: Proceedings of the First International Symposium on Neuro-Fuzzy Systems (AT'96), Lausanne, Switzerland, AATI, 1996
The Effects of Optical Thresholding in Backpropagation Neural Networks, Perry Moerland, Emile Fiesler and Indu Saxena, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'95 and NeuroNimes'95), ENNS, Paris, France, EC2 & Cie, 1995
Mixtures of Experts Estimate A Posteriori Probabilities, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97), Springer-Verlag, 1997
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Results on the Steepness in Backpropagation Neural Networks, Perry Moerland, Georg Thimm and Emile Fiesler, in: Proceedings of the '94 SIPAR-Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994
DOMAIN ADAPTATION FOR GENERALIZATION OF FACE PRESENTATION ATTACK DETECTION IN MOBILE SETTINGS WITH MINIMAL INFORMATION, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, IEEE, 2020
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Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: IET (The Institution of Engineering and Technology) -- Biometrics:1--13, 2017
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Humans as Feature Extractors: Combining Prosody and Personality Perception for Better Speaking Style Recognition, Gelareh Mohammadi and Alessandro Vinciarelli, in: Proceeding of IEEE Int Conference on Systems, Man, and Cybernetics - Special Sessions, 2011
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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, Alireza Mohammadshahi, Karl Aberer and Rémi Lebret, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, pages 27-33, Association for Computational Linguistics, 2019
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Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, Alireza Mohammadshahi and James Henderson, in: Procceedings of 8th Workshop on Representation Learning for NLP, 2023
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics(under submission), 2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020
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Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020
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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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Incremental Enrollment of Speech Recognizers, Chafic Mokbel and Olivier Collin, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99,',','), Phoenix, Arizona, USA, 1999
Learning the structure of image collections with latent aspect models, Florent Monay, École Polytechnique Fédérale de Lausanne, 2007
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Modeling semantic aspects for cross-media image indexing, Florent Monay and Daniel Gatica-Perez, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
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