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Assessing the effectiveness of slides as a mean to improve the automatic transcription of oral presentations, , and , Idiap-RR-56-2006 |
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Towards using slide information to enhance speech transcription of meetings, , and , Idiap-RR-01-2006 |
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Perceptual classification of motor speech disorders: the role of severity, speech task, and listener's expertise, , , and , in: Journal of Speech, Language, and Hearing Research, 2022 |
A machine-learning model for the prediction of aggregated building heating demand from pan-European land-use maps, , and , in: Journal of Physics: Conference Series, 2021 |
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Potential for district heating networks from waste heat: an assessment tool and its application to sewage treatment plants in the Canton of Zurich, and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2023 |
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DHgeN: Automated Generation of District Heating Network Layouts for Feasibility Studies, and , in: -, 2022 |
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A Comparative Psychophysical and EEG Study of Different Feedback Modalities for HRI, , , , and , in: 3rd ACM/IEEE Conf on Human-Robot Interaction (HRI08), 2008 |
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A Comparative Psychophysical and EEG Study of Different Feedback Modalities for HRI, , , , and , Idiap-RR-78-2007 |
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Bayesian Controller for a Novel Semi-Autonomous Navigation Concept, , , and , in: 3rd European Conference on Mobile Robots (ECMR 2007), 2007 |
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Bayesian Controller for a Novel Semi-Autonomous Navigation Concept, , , and , Idiap-RR-26-2007 |
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Probabilistic Tagging of Unstructured Genealogical Records, and , Idiap-RR-86-2005 |
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Conversation Analysis at Work: Detection of Conflict in Competitive Discussions through Automatic Turn-Organization Analysis, , , and , in: Cognitive Processing, 2012 |
Can Language Models Learn Analogical Reasoning? Investigating Training Objectives and Comparisons to Human Performance, and , in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Association for Computational Linguistics, 2023 |
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Physiological intron retaining transcripts in the cytoplasm abound during human motor neurogenesis, , , , , , , , and , in: Genome Research, 2022 |
Semi-automatic HMM-based annotation of the PolyCOST Database, , , and , in: Application of speaker recognition techniques in telephony, COST250, 1996 |
POLYCOST: a telephone-speech database for speaker recognition, , , and , in: Reconnaissance du locuteur et ses applications commerciales et criminalistiques, 1998 |
Detection of disguised speech in forensic science by humans and automatic systems, , Université de Lausanne Ecole des Sciences Criminelles, 2020 |
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The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues, , , , , , , , , , , , , and , in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, European Language Resources Association (ELRA), 2014 |
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Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing, , , and , 2005 |
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Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing, , , and , Idiap-RR-88-2005 |
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#Healthy #Fondue #Dinner: Analysis and Inference of Food and Drink Consumption Patterns on Instagram, and , in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017 |
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My Own Private Nightlife: Understanding Youth Personal Spaces from Crowdsourced Video, , and , in: Proc. ACM Hum.-Comput. Interact, 3(189), 2019 |
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Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, , , and , in: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020 |
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Health Talk: Understanding Practices of Popular Professional YouTubers, , , , and , in: Int. Conf. on Mobile and Ubiquitous Multimedia, 2022 |
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Health Talk: Understanding Practices of Popular Professional YouTubers, , , , and , in: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, 2022 |
#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, , and , in: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, Trento, Italy, 2019 |
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Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media, , and , in: Journal and Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT '19), 2019 |
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Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair, , , , , , , and , in: Proceedings of the 10th IEEE International Conference on Rehabilitation Robotics, 2007 |
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Improved Phone Posterior Estimation Through k-NN and MLP-Based Similarity, , Idiap-RR-18-2009 |
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Declarative Variables in Online Dating: A Mixed-Method Analysis of a Mimetic-Distinctive Mechanism, , and , in: Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 2021 |
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A comparison of a priori threshold setting procedures for speaker verification in the CAVE project, , , , , , and , in: ICASSP 98, 1998 |
Learning adaptive dressing assistance from human demonstration, and , in: Robotics and Autonomous Systems, 93:61-75, 2017 |
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Learning from Demonstration using Products of Experts: Applications to Manipulation and Task Prioritization, , and , in: International Journal of Robotics Research, 41(2):163-188, 2022 |
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Product of experts for robot learning from demonstration, , EPFL, 2020 |
Bayesian Gaussian mixture model for robotic policy imitation, and , in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019 |
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Generative adversarial training of product of policies for robust and adaptive movement primitives, , and , in: In Proc. Conference on Robot Learning (CoRL), 2020 |
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Variational Inference with Mixture Model Approximation for Applications in Robotics, , and , in: International Conference on Robotics and Automation, 2020 |
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Evaluating Attention Networks for Anaphora Resolution, , , and , Idiap-RR-27-2017 |
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Large-Scale Image Segmentation with Convolutional Networks, , Sciences et Techniques de l’Ingénieur (STI), 2017 |
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From Image-level to Pixel-level Labeling with Convolutional Networks, and , in: Computer Vision and Patter Recognition (CVPR), Boston, MA, pages 1713-1721, IEEE, 2015 |
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Recurrent Convolutional Neural Networks for Scene Labeling, and , in: 31st International Conference on Machine Learning (ICML), Beijing, China, pages 82-90, JMLR, 2014 |
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Weakly Supervised Object Segmentation with Convolutional Neural Networks, and , Idiap-RR-13-2014 |
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Recurrent Convolutional Neural Networks for Scene Parsing, and , Idiap-RR-22-2013 |
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Recurrent Convolutional Neural Networks for Scene Labeling, and , Idiap-RR-41-2013 |
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Learning to Segments Objects Candidates, , and , in: Advances in Neural Information Processing Systems, Montreal, Canada, pages 1990-1998, Curran Associates, Inc., 2015 |
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Learning to Refine Object Segments, , , and , in: Computer Vision - ECCV 2016, Amsterdam, pages 75-91, Springer, 2016 |
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Hierarchical Tandem Features for ASR in Mandarin, , and , in: Proceedings of Interspeech, 2011 |
Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition, , Ecole polytechnique fédérale de Lausanne, 2010 |
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Comparing Different Word Lattice Rescoring Approaches Towards Keyword Spotting, , , and , Idiap-RR-32-2007 |
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