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| Sector-Based Detection for Hands-Free Speech Enhancement in Cars, , and , in: EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing, 2006 |
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| Sector-Based Detection for Hands-Free Speech Enhancement in Cars, , and , Idiap-RR-67-2004 |
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| Secured vocal access to telephone servers, , , , and , Idiap-RR-04-1996 |
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| Secured vocal access to telephone servers, , , , and , in: Proceedings of IVTTA 1996 IEEE Third Workshop Interactive Voice Technology for Telecommunications Applications, 1996 |
| Securing Face and Fingerprint Templates in Humanitarian Biometric Systems, , , , and , in: Proceedings of the International Joint Conference on Biometrics (IJCB 2025), Osaka, Japan, IEEE, 2025 |
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| Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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| Segmentation of X-ray Image Sequences Showing the Vocal Tract, , Idiap-RR-01-1999 |
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| Segmentation of X-ray Image Sequences Showing the Vocal Tract (with tool documentation), , Idiap-RR-01-1999 |
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| Segmenting Multiple Concurrent Speakers Using Microphone Arrays, , and , in: Proceedings of Eurospeech 2003, 2003 |
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| Segmenting Multiple Concurrent Speakers Using Microphone Arrays, , and , Idiap-RR-21-2003 |
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| Segmenting Object Affordances: Reproducibility and Sensitivity to Scale, , , and , in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024 |
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| SelecMix: Debiased Learning by Contradicting-pair Sampling, , , , , , and , in: Advances in Neural Information Processing Systems, 2022 |
| SelecMix: Debiased Learning by Mixing up Contradicting Pairs, , , , , , and , in: ICML Workshop on Spurious Correlations, Invariance and Stability, 2022 |
| Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation, , and , in: WNGT EMNLP, 2019 |
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| Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup, , and , in: International Conference on Machine Learning (ICML), 2024 |
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| Self-attention for Speech Emotion Recognition, , and , in: Proc. Interspeech 2019, 2019 |
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| Self-Attentive Residual Decoder for Neural Machine Translation, , , and , in: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018 |
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| Self-Organizing-Maps With BIC For Speaker Clustering, , Idiap-RR-60-2002 |
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| Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, , , and , in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021 |
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| Semantic Segmentation of Radio Programs Using Social Network Analysis and Duration Distribution Modeling, , and , in: IEEE International Conference on Multimedia and Expo (ICME), 2007 |
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| Semantic Segmentation of Radio Programs Using Social Network Analysis and Duration Distribution Modeling, , and , Idiap-RR-75-2006 |
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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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| SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials, , and , in: In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024 |
| Semi-automatic HMM-based annotation of the PolyCOST Database, , , and , in: Application of speaker recognition techniques in telephony, COST250, 1996 |
| Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks, and , Idiap-RR-07-2018 |
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| Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation by Use of Convolutional Neural Networks, and , in: 2018 25th IEEE International Conference on Image Processing (ICIP), pages 3818-3822, IEEE, 2018 |
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| Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas, , , , , , , , , , and , in: 37th AIAA/IEEE Digital Avionics Systems Conference, AIAA/IEEE, London, 2018 |
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| Semi-supervised Adapted HMMs for Unusual Event Detection, , , and , in: Pro. IEEE CVPR, 2005 |
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| Semi-supervised Adapted HMMs for Unusual Event Detection, , and , Idiap-RR-80-2004 |
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| Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control, , , , , and , in: Proceedings of Interspeech 2017, Stockholm, Sweden, pages 2406-2410, 2017 |
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| Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control, , , , , and , Idiap-RR-21-2017 |
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| Semi-supervised Meeting Event Recognition with Adapted HMMs, , and , in: Pro. IEEE ICME, 2005 |
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| Semi-supervised Meeting Event Recognition with Adapted HMMs, , and , Idiap-RR-15-2005 |
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| Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering, , and , in: Proceedings of Second Conference on Machine Translation (WMT17), 2017 |
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| SenseCityVity: Mobile Crowdsourcing, Urban Awareness, and Collective Action in Mexico, , , , , , , , , and , in: IEEE Pervasive Computingg, Special Issue on Smart Cities, 16(2):44-53, 2017 |
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| Sensing Eating Events in Context: A Smartphone-Only Approach, , , , , and , in: IEEE Access, 10, 2022 |
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| Sensing the `Health State` of our Society, , , , and , in: IEEE Pervasive Computing, Special Issue on Large-Scale Opportunistic Sensing, 2011 |
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| Sentence-level Planning for Especially Abstractive Summarization, and , 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, and , in: 36th ACM SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland, ACM, 2013 |
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| Sentiment Analysis using pretrained LLMs, , and , Idiap-RR-05-2024 |
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| Sequence Classification with Input-Output Hidden Markov Models, and , Idiap-RR-13-2004 |
| Sequential Design of Computer Experiments, , in: Wiley StatsRef: Statistics Reference Online, Wiley, 2018 |
| Sequential Monte Carlo Video Text Segmentation, and , in: ICIP, 2003 |
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| Sequential Robot Imitation Learning from Observations, , , , and , in: International Journal of Robotics Research (IJRR), 2021 |
| 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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| Session Variability Modelling for Face Authentication, , , , and , Idiap-RR-17-2013 |
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| Session variability modelling for face authentication, , , , and , in: IET Biometrics, 2(3):117-129, 2013 |
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| SGAN: An Alternative Training of Generative Adversarial Networks, and , 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, , and , in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022 |
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