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Scalable Probabilistic Models for Face and Speaker Recognition, Laurent El Shafey, École Polytechnique Fédérale de Lausanne (EPFL), 2014
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Scalable Probabilistic Models: Applied to Face Identification in the Wild, Laurent El Shafey and Sébastien Marcel, in: 8th European Biometrics Research and Industry Awards, European Association for Biometrics, Darmstadt, Germany, 2014
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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3), 2003
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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Workshop on Pattern Recognition with Support Vector Machines, SVM'2002, 2002
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Scene Recognition with Naive Bayes Non-linear Learning, Marco Fornoni and Barbara Caputo, in: Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, pages 3404 - 3409, IEEE, 2014
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SDFR: Synthetic Data for Face Recognition Competition, Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik and Sébastien Marcel, in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024
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Searching the Past: An Improved Shape Descriptor to Retrieve Maya Hieroglyphs., Edgar Roman-Rangel, Carlos Pallan, Jean-Marc Odobez and Daniel Gatica-Perez, in: Proceedings of the ACM International Conference in Multimedia, Scottsdale, USA, ACM, 2011
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Sector-Based Detection for Hands-Free Speech Enhancement in Cars, Guillaume Lathoud, Julien Bourgeois and Jürgen Freudenberger, in: EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing, 2006
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Secured vocal access to telephone servers, Olivier Bornet, Gérard Chollet, Jean-Luc Cochard, Andrei Constantinescu and Dominique Genoud, in: Proceedings of IVTTA 1996 IEEE Third Workshop Interactive Voice Technology for Telecommunications Applications, 1996
Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Self-Attentive Residual Decoder for Neural Machine Translation, Lesly Miculicich, Nikolaos Pappas, Dhananjay Ram and Andrei Popescu-Belis, in: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018
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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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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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Semi-automatic HMM-based annotation of the PolyCOST Database, Dijana Petrovska-Delacretaz, Jean Hennebert, Dominique Genoud and Gérard Chollet, in: Application of speaker recognition techniques in telephony, COST250, 1996
Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering, Xiao Pu, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of Second Conference on Machine Translation (WMT17), 2017
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