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Can Language Models Learn Analogical Reasoning? Investigating Training Objectives and Comparisons to Human Performance, Molly R. Petersen and Lonneke van der Plas, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Association for Computational Linguistics, 2023
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Semi-automatic HMM-based annotation of the PolyCOST Database, Dijana Petrovska-Delacretaz, Jean Hennebert, Dominique Genoud and Gérard Chollet, in: Application of speaker recognition techniques in telephony, COST250, 1996
POLYCOST: a telephone-speech database for speaker recognition, Dijana Petrovska-Delacretaz, Jean Hennebert, H. Melin and Dominique Genoud, in: Reconnaissance du locuteur et ses applications commerciales et criminalistiques, 1998
Detection of disguised speech in forensic science by humans and automatic systems, Michela Pettinato, Université de Lausanne Ecole des Sciences Criminelles, 2020
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The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues, Volha Petukhova, Martin Gropp, Dietrich Klakow, Anna Schmidt, Gregor Eigner, Mario Topf, Stefan Srb, Petr Motlicek, Blaise Potard, John Dines, O. Deroo, Ronny Egeler, Uwe Meinz and Steffen Liersch, 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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#Healthy #Fondue #Dinner: Analysis and Inference of Food and Drink Consumption Patterns on Instagram, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
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Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, Thanh-Trung Phan, Florian Labhart, Skanda Muralidhar and Daniel Gatica-Perez, 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, Thanh-Trung Phan, Chloé Michoud, Lucia Volpato, María del Río Carral and Daniel Gatica-Perez, in: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, 2022
#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, 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, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, in: Journal and Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT '19), 2019
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Learning adaptive dressing assistance from human demonstration, E. Pignat and Sylvain Calinon, in: Robotics and Autonomous Systems, 93:61-75, 2017
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Bayesian Gaussian mixture model for robotic policy imitation, Emmanuel Pignat and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019
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Large-Scale Image Segmentation with Convolutional Networks, Pedro H. O. Pinheiro, Sciences et Techniques de l’Ingénieur (STI), 2017
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From Image-level to Pixel-level Labeling with Convolutional Networks, Pedro H. O. Pinheiro and Ronan Collobert, 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, Pedro H. O. Pinheiro and Ronan Collobert, in: 31st International Conference on Machine Learning (ICML), Beijing, China, pages 82-90, JMLR, 2014
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Learning to Segments Objects Candidates, Pedro H. O. Pinheiro, Ronan Collobert and Piotr Dollar, 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, Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert and Piotr Dollar, in: Computer Vision - ECCV 2016, Amsterdam, pages 75-91, Springer, 2016
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Exploiting Contextual Information for Improved Phoneme Recognition, Joel Praveen Pinto, Hynek Hermansky, B. Yegnanarayana and Mathew Magimai.-Doss, in: "IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP)", 2008
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MLP Based Hierarchical System for Task Adaptation in ASR, Joel Praveen Pinto, Mathew Magimai.-Doss and Hervé Bourlard, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, 2009
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Reverse Correlation for analyzing MLP Posterior Features in ASR, Joel Praveen Pinto, G. S. V. S. Sivaram and Hynek Hermansky, in: 11th International Conference on Text, Speech, and Dialogue, 2008
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Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator, Joel Praveen Pinto, G. S. V. S. Sivaram, Hynek Hermansky and Mathew Magimai.-Doss, in: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009
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