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Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko and Mathew Magimai.-Doss, in: Proceedings of the ICML Expressive Vocalizations Workshop held in conjunction with the 39th International Conference on Machine Learning, Maryland, USA, 2022
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Comparing Two Strategies for Query Expansion in a News Monitoring System, Parvaz Mahdabi and Andrei Popescu-Belis, in: Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, pages 267-275, Springer-Verlag, 2016
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Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS, Fabien Cardinaux, Conrad Sanderson and Sébastien Marcel, in: 4th International Conference on AUDIO- and VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, 2003
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Complexity reduction of eigenvalue decomposition-based diffuse power spectral density estimators using the power method, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 451-455, 2018
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Composite Kernel Learning, Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy, in: Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), Omnipress, 2008
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Compositionality in English deverbal compounds:The role of the head, Gianina Iordachioaia, Lonneke van der Plas and Glorianna Jagfeld, in: The role of constituents in multiword expressions. Phraseology and Multiword Expressions, Language Science Press, Berlin, 2020
Computational Analysis of Urban Places Using Mobile Crowdsensing, Darshan Santani, Ecole Polytechnique Federale de Lausanne, 2016
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Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures, Afsaneh Asaei, Michael E. Davies, Hervé Bourlard and Volkan Cevher, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
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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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Confidence Evaluation for Risk Prediction, Nicolas Gilardi, Tom Melluish and Michel Maignan, in: 2001 Annual Conference of the IAMG, 2001
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Confidence Matters : Applications to Semantic Segmentation, Prabhu Teja Sivaprasad, École polytechnique fédérale de Lausanne, 2023
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