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| Combination of Acoustic Classifiers based on Dempster-Shafer Theory of evidence, and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007 |
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| Discriminant linear processing of time-frequency plane, and , in: International Conference on Spoken Language Processing, 2006 |
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| Combination of Acoustic Classifiers based on Dempster-Shafer Theory of evidence, and , Idiap-RR-61-2006 |
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| Discriminant linear processing of time-frequency plane, and , Idiap-RR-20-2006 |
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| Annotation and Recognition of Personality Traits in Spoken Conversations from the AMI Meetings Corpus, , and , in: Proceedings of Interspeech 2012, 2012 |
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| Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features, , , , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 19(8), 2011 |
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| Hierarchical Processing of the Modulation Spectrum for GALE Mandarin LVCSR system, , , and , in: Proceedings of the 10thAnnual Conference of the International Speech Communication Association (Interspeech), Brighton, 2009 |
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| A Comparative Study of MLP Front-ends for Mandarin ASR, , , , and , in: Proceedings of Interspeech, Japan, 2010 |
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| Analysis and Comparison of Recent MLP Features for LVCSR Systems, , and , in: Proceedings of Interspeech 2011, 2011 |
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| Detecting and Labeling Folk Literature in Spoken Cultural Heritage Archives using Structural and Prosodic Features, and , in: IEEE Content Based Multimedia Indexing, 2012 |
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| VARIATIONAL BAYESIAN SPEAKER DIARIZATION OF MEETING RECORDINGS, , and , in: Proceedings of ICASSP, 2010 |
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| Multi-stream Features Combination based on Dempster-Shafer Rule for LVCSR System, , and , in: Interspeech 2007, 2007 |
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| Multi-stream Features Combination based on Dempster-Shafer Rule for LVCSR System, , and , Idiap-RR-09-2007 |
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| Hierarchical Neural Networks Feature Extraction for LVCSR system, , , , , and , in: Interspeech 2007, 2007 |
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| Hierarchical Neural Networks Feature Extraction for LVCSR system, , , , , and , Idiap-RR-08-2007 |
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| Speaker Diarization of Meetings based on Speaker Role N-gram Models, , and , in: Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 |
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| Language-Independent Socio-Emotional Role Recognition in the AMI Meetings Corpus, and , in: Proceedings of Interspeech, 2011 |
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| Improving Speech Processing trough Social Signals: Automatic Speaker Segmentation of Political Debates using Role based Turn-Taking Patterns., and , in: Proceedings of ACM Multimedia Workshop on Social Signal Processing, 2010 |
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| Understanding Social Signals in Multi-party Conversations: Automatic Recognition of Socio-Emotional Roles in the AMI Meeting Corpus, , , and , in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pages 374-379, 2011 |
| Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, , and , in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2025 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2024 |
| Reasoning with Natural Language Explanations, and , in: In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2024 |
| Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering, , , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
| Multi-Operational Mathematical Derivations in Latent Space, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024 |
| TextGraphs 2022 Shared Task on Natural Language Premise Selection, , , , and , in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022 |
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| Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards, , and , in: 14th International Conference on Computational Semantics, 2021 |
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| Case-Based Abductive Natural Language Inference, , and , in: Proceedings of the 29th International Conference on Computational Linguistics, 2022 |
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| Explainable Natural Language Reasoning via Conceptual Unification, , and , 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, , and , in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021 |
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| Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration, , , and , in: Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 |
| Enhancing Multi-modal Classification of Violent Events using Image Captioning, , and , in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings, Jaén, Spain, 2023 |
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| Leveraging Events Sub-Categories for Violent-Events Detection in Social Media, , and , in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022), 2022 |
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| Annotator-centric Active Learning for Subjective NLP Tasks, , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2024 |
| HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims, , , and , in: The 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
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| Context-based Filtering for Assisted Brain-Actuated Wheelchair Driving, , , , , , , and , in: Computational Intelligence and Neuroscience, 2007, 2007 |
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| Parameter-Efficient Tuning With Adaptive Bottlenecks For Automatic Speech Recognition, , , , , and , in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'23, 2023 |
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| Harmonic Plus Noise Model for Concatenative Speech Synthesis, , Idiap-RR-37-2005 |
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| Réalisation d'un Majordome vocal, , Idiap-Com-04-1997 |
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| Cross-Database Evaluation With an Open Finger Vein Sensor, , , and , 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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| Sequential Topic Models for Mining Recurrent Activities and their Relationships : Application to long term video recordings, , École Polytechnique Fédérale de Lausanne, 2012 |
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| A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs, , and , in: International Journal of Computer Vision, 103(1):100-126, 2013 |
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| Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules, , and , in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA, 2012 |
| Sparsity in Topic Models, , and , in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012 |
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| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , Idiap-RR-33-2010 |
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| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , in: BMVC 2010, Aberystwyth University, Aberystwyth, BMVA Press, 2010 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , Idiap-RR-36-2010 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , 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., , and , 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, and , in: 9th International Workshop in Visual Surveillance, IEEE, Kyoto, Japan, IEEE, 2009 |
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