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Case-Based Abductive Natural Language Inference, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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Unification-based Reconstruction of Multi-hop Explanations for Science Questions, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021
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Enhancing Multi-modal Classification of Violent Events using Image Captioning, Daniel Vallejo-Aldana, A. Pastor López-Monroy and Esaú VILLATORO-TELLO, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings, Jaén, Spain, 2023
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Cross-Database Evaluation With an Open Finger Vein Sensor, Matthias Vanoni, Pedro Tome, Laurent El Shafey and Sébastien Marcel, in: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS), Rome, Italy, pages 30-35, IEEE, 2014
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Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA, 2012
Sparsity in Topic Models, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012
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A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: NIPS-2010 Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions, 2010
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Extracting Motifs from Time Series Generated by Concurrent Activities., Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: NIPS workshop on Learning and Planning from Batch Time Series Data, 2010
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Topic Models for Scene Analysis and Abnormality Detection, Jagannadan Varadarajan and Jean-Marc Odobez, in: 9th International Workshop in Visual Surveillance, IEEE, Kyoto, Japan, IEEE, 2009
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Document-level Text Simplification with Coherence Evaluation, Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla and Sophia Ananiadou, in: Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability, 2023
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CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, José Vázquez-Canteli, Jérôme Kämpf, Gregor Henze and Zoltán Nagy, in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 2019
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Subjective Evaluation of Join Cost and Smoothing Methods for Unit Selection Speech Synthesis, Jithendra Vepa and Simon King, in: IEEE Trans. on Audio, Speech and Language Processing, 14(5), 2006
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Decision fusion using a multi-linear classifier, Patrick Verlinde, Gilbert Maître and Eddy Mayoraz, in: 1st International Conference on Multisource-Multisensor Data Fusion, 1998
End-to-End Accented Speech Recognition, Thibault Viglino, Petr Motlicek and Milos Cernak, in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019
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Speaker Diarization of Meetings based on large TDOA feature vectors, Deepu Vijayasenan and Fabio Valente, in: Proceedings of International Conference on Acoustic, Speech and Signal Processing, 2012
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An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: IEEE Transactions on Audio Speech and Language Processing, 19(2), 2011
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Multistream Speaker Diarization beyond Two Acoustic Feature Streams, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: International Conference on Acoustics, Speech, and Signal Processing, 2010
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