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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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Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, Andre Freitas and Leonardo Ranaldi, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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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SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials, Mael Jullien, Marco Valentino and Andre Freitas, in: In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
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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Sensing the `Health State` of our Society, Anmol Madan, Manuel Cebrian, Sai Moturu, Katayoun Farrahi and Alex Pentland, in: IEEE Pervasive Computing, Special Issue on Large-Scale Opportunistic Sensing, 2011
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Sentence-level Planning for Especially Abstractive Summarization, Andreas Marfurt and James Henderson, in: Proceedings of the Third Workshop on New Frontiers in Summarization, pages 1--14, Association for Computational Linguistics, 2021
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Sentiment Analysis of User Comments for One-Class Collaborative Filtering over TED Talks, Nikolaos Pappas and Andrei Popescu-Belis, in: 36th ACM SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland, ACM, 2013
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Sequential Design of Computer Experiments, David Ginsbourger, in: Wiley StatsRef: Statistics Reference Online, Wiley, 2018
Sequential Robot Imitation Learning from Observations, A. K. Tanwani, A. Yan, J. Lee, Sylvain Calinon and K. Goldberg, in: International Journal of Robotics Research (IJRR), 2021
SGAN: An Alternative Training of Generative Adversarial Networks, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 9407-9415, IEEE, 2018
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Shallow Discourse Parsing for Open Information Extraction and Text Simplification, Christina Niklaus, Andre Freitas and Siegfried Handschuh, in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022
Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep?, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: 15th International Workshop on Content-Based Multimedia Indexing, 2017
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Sharingan: A Transformer Architecture for Multi-Person Gaze Following, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Int. Conference Computer Vision and Pattern Recognition (CVPR), Seatle, 2024
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Short-Term Spatio-Temporal Clustering Applied to Multiple Moving Speakers, Guillaume Lathoud and Jean-Marc Odobez, in: IEEE Transactions on Audio, Speech and Language Processing, 15(5):15, 2007
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Signal Processing in the Workplace, Daniel Gatica-Perez, in: IEEE Signal Processing Magazine, 32(1):121-125, 2015
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SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies, Khaled Khelif, yann Mombrun, Gideon Hazzani, Petr Motlicek, Srikanth Madikeri, Farhan Sahito, Damien Kelly, Luca Scarpatto, Emmanouil Chatzigavriil and Gerhard Backfried, in: Big Data and Artificial Intelligence for Military Decision Making, http://www.sto.nato.int/, pages PT-1 - 1: PT-1 - 14, STO, 2018
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