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Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , Idiap-RR-14-2021 |
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Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , in: Interspeech 2021, 2021 |
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Automatic Speech Recognition Benchmark for Air-Traffic Communications, , , , and , in: Proc. Interspeech 2020, pages 2297-2301, 2020 |
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A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers, , , , and , in: Aerospace, 10(5), 2023 |
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How Does Pre-trained Wav2Vec 2.0 Perform on Domain-Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications, , , , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
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CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice, , , and , in: Proc. Interspeech 2023, 2023 |
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BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications, , , , , , and , Idiap-RR-15-2021 |
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications, , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
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Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications, , , , , , , , , , , , , , , and , in: Proceedings of 8th OpenSky Symposium 2020, OpenSky Network, pages 1-10, MDPI, 2020 |
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SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, , , , , and , in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023 |
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NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, , , , , and , in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 |
Understanding the effects of language-specific class imbalance in multilingual fine-tuning, and , in: Findings of the European chapter of Association for Computational Linguistics, 2024, 2024 |
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Two-Handed Gestures for Human-Computer Interaction, , Idiap-RR-73-2006 |
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Two-Handed Gestures for Human-Computer Interaction, , École Polytechnique Fédérale de Lausanne, 2006 |
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HMM and IOHMM for the Recognition of Mono- and Bi-Manual 3D Hand Gestures, , and , Idiap-RR-39-2004 |
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Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures, , and , in: Proc. of the sixth International Conference on Automatic Face and Gesture Recognition, 2004 |
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Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures, , and , Idiap-RR-63-2003 |
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Two-Handed Gesture Recognition, and , Idiap-RR-24-2005 |
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Reconnaissance de gestes 3D bi-manuels, , , and , Idiap-RR-79-2003 |
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Hand Posture Classification and Recognition using the Modified Census Transform, , and , in: IEEE Int. Conf. on Automatic Face and Gesture Recognition (AFGR), 2006 |
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Hand Posture Classification and Recognition using the Modified Census Transform, , and , Idiap-RR-02-2006 |
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Sparse Autoencoders for Speech Modeling and Recognition, , École polytechnique fédérale de Lausanne, 2023 |
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SPARSE AUTOENCODERS TO ENHANCE SPEECH RECOGNITION, and , Idiap-RR-10-2022 |
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From Undercomplete to Sparse Overcomplete Autoencoders to Improve LF-MMI Speech Recognition, and , in: Proceedings of Interspeech Conference, 2022 |
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SPEECH MODELING USING SPARSE AUTOENCODERS, and , Idiap-RR-11-2022 |
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On Learning to Identify Genders from Raw Speech Signal Using CNNs, , and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 287-291, 2018 |
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Modeling dominance effects on nonverbal behaviors using granger causality, , , , , and , in: Proceedings of International Conference on Multimodal Interaction, ICMI 2012, Santa Monica, CA, 2012 |
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Unsupervised Learning for Information Distillation, , Idiap-RR-47-2007 |
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Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity, , and , in: 25th ACM International Conference on Multimodal Interaction, 2023 |
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Evaluation of SVM Binary Classification with Nonparametric Stochastic Simulations, , Idiap-RR-07-2001 |
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Spatial Data Mapping with Support Vector Regression, and , Idiap-RR-09-2000 |
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Numerical Experiments with Support Vector Machines, and , Idiap-RR-15-1999 |
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Environmental spatial data classification with Support Vector Machines, , , and , Idiap-RR-07-1999 |
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Advanced Spatial Data Analysis and Modelling with Support Vector Machines, , , and , Idiap-RR-31-2000 |
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Support Vector Machines for Classification and Mapping of Reservoir Data, , , , , and , Idiap-RR-04-2001 |
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Environmental Data Mapping with Support Vector Regression and Geostatistics, , and , Idiap-RR-10-2000 |
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Reading Companion: The Technical and Social Design of an Automated Reading Tutor, , , , , and , in: Workshop on Child, Computer and Interaction, Portland, Oregon, U.S.A., 2012 |
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Modeling Annotator Behaviors for Crowd Labeling, , , and , in: Neurocomputing, 160:141–156, 2015 |
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Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models, , École Polytechnique Fédérale de Lausanne, 2022 |
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Processing Megapixel Images with Deep Attention-Sampling Models, and , Idiap-RR-07-2019 |
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Processing Megapixel Images with Deep Attention-Sampling Models, and , in: Proceedings of International Conference on Machine Learning, 2019 |
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Not All Samples Are Created Equal: Deep Learning with Importance Sampling, and , Idiap-RR-12-2018 |
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Not All Samples Are Created Equal: Deep Learning with Importance Sampling, and , in: Proceedings of International Conference on Machine Learning, 2018 |
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Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention, , , and , in: Proceedings of International Conference on Machine Learning, 2020 |
Haptic Feedback Compared with Visual Feedback for BCI, , , , , and , in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006 |
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Combining Wavelet-domain Hidden Markov Trees with Hidden Markov Models, , and , Idiap-RR-14-1999 |
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Machine Learning Approaches to Text Representation using Unlabeled Data, , Ecole Polytechnique Fédérale de Lausanne, 2006 |
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Machine Learning Approaches to Text Representation using Unlabeled Data, , Idiap-RR-76-2006 |
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A Multitask Learning Approach to Document Representation using Unlabeled Data, and , Idiap-RR-44-2006 |
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A Neural Network for Text Representation, and , in: International Conference on Artificial Neural Networks, ICANN, 2005 |
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