Publication list - Idiap Publications

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Sampling-Based Constrained Motion Planning with Products of Experts, Amirreza Razmjoo, Teng Xue, Suhan Shetty and Sylvain Calinon, in: International Journal of Robotics Research, 2025

Tensor Train for Global Optimization Problems in Robotics, Suhan Shetty, Teguh Santoso Lembono, Tobias Löw and Sylvain Calinon, in: International Journal of Robotics Research, 43(6):811-839, 2024

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Learning from Demonstration using Products of Experts: Applications to Manipulation and Task Prioritization, E. Pignat, J. Silverio and Sylvain Calinon, in: International Journal of Robotics Research, 41(2):163-188, 2022

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COLD: The COsy Localization Database, Andrzej Pronobis and Barbara Caputo, in: International Journal of Robotics Research, 28(5), 2009

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Robust Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization, Julius Jankowski, Lara Brudermuller, Nick Hawes and Sylvain Calinon, in: International Journal of Robotics Research (IJRR), 2025

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Sequential Robot Imitation Learning from Observations, A. K. Tanwani, A. Yan, J. Lee, Sylvain Calinon and K. Goldberg, in: International Journal of Robotics Research (IJRR), 2021

Small Variance Asymptotics for Non-Parametric Online Robot Learning, A. K. Tanwani and Sylvain Calinon, in: International Journal of Robotics Research (IJRR), 38(1):3-22, 2019

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Automatic identification of storytelling responses to past-behavior interview questions via machine learning, Adrian Bangerter, Eric Mayor, Skanda Muralidhar, Emmanuelle Patricia Kleinlogel, Daniel Gatica-Perez and Marianne Schmid Mast, in: International Journal of Selection and Assessment, 2023

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Development of the Geographical Proportional-to-size Street-Intercept Sampling (GPSIS) method for recruiting urban nightlife-goers in an entire city, Florian Labhart, Flavio Tarsetti, Olivier Bornet, Darshan Santani, Jasmine Truong, Sara Landolt, Daniel Gatica-Perez and Emmanuel Kuntsche, in: International Journal of Social Research Methodology, 20(6):721-736, 2017

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MODIFIED GROUP DELAY FEATURE BASED TOTAL VARIABILITY SPACE MODELLING FOR SPEAKER RECOGNITION, Srikanth Madikeri, Asha T and Hema A Murthy, in: International Journal of Speech Techonology, 18(1):17-23, 2014

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On the Recent Use of Local Binary Patterns for Face Authentication, Sébastien Marcel, Yann Rodriguez and Guillaume Heusch, in: International Journal on Image and Video Processing Special Issue on Facial Image Processing, 2007

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Spin Glass Models of Markov Random Fields, Barbara Caputo, in: International Journal on Image, Systems and Technology, 16(5), 2006

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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3), 2003

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digital ECMT cancer trial matching tool, an open source research application to support oncologists in the identification of precision medicine clinical trials,, Paul O'Reagan, Andre Freitas and et al., in: JCO Clinical Cancer Informatics, 2022

Contactless Sleep Monitoring for Early Detection of Health Deteriorations in Community-Dwelling Older Adults: Exploratory Study, Narayan Schütz, Hugo Saner, Angela Botros, Bruno Pais, Valérie Santschi, Philipp Buluschek, Daniel Gatica-Perez, Prabitha Urwyler, René M. Müri and Tobias Nef, in: JMIR Mhealth Uhealth, 9(6), 2021

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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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Modulation Frequency Features For Phoneme Recognition In Noisy Speech, Sriram Ganapathy, Samuel Thomas and Hynek Hermansky, in: Journal of Acoustical Society of America - Express Letters, 2008

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Explicit Document Modeling through Weighted Multiple-Instance Learning, Nikolaos Pappas and Andrei Popescu-Belis, in: Journal of Artificial Intelligence Research (JAIR), 58:591--626, 2017

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Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation, Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel and Andre Freitas, in: Journal of Biomedical Informatics(158), 2024

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Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy, Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Manon Pillai, Jennifer Allison, Donal Landers, Elaine Kilgour, Fiona Thistlethwaite and Andre Freitas, in: Journal of Biomedical Informatics, 142, 2023

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PRIMIS: Privacy-Preserving Medical Image Sharing via Deep Sparsifying Transform Learning with Obfuscation, Isaac Shiri, Behrooz Razeghi, Sohrab Ferdowsi, Yazdan Salimi, Deniz Gunduz, Douglas Teodoro, Slava Voloshynovskiy and Habib Zaidi, in: Journal of Biomedical Informatics, Elsevier, 150, 2024

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Aliasing mitigation in optical microscopy of dynamic biological samples by use of temporally modulated color illumination and a standard RGB camera, Christian Jaques and Michael Liebling, in: Journal of Biomedical Optics, 25(10):106505, 2020

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Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling, L. Fusco, Riwal Lefort, Kevin C. Smith, F. Benmansour, German Gonzalez, Caterina Barilari, Bernd Rinn, Francois Fleuret, Pascal Fua and O. Pertz, in: Journal of Cell Biology, 212(1):91-111, 2016

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Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamics, Anna Freeman, Alastair Watson, Paul O'Reagan, Oskar Wysocki, Hannah Burke, Andre Freitas and et al., in: Journal of Clinical Virology, 2022

Estimating orthant probabilities of high dimensional Gaussian vectors with an application to set estimation, Dario Azzimonti and David Ginsbourger, in: Journal of Computational and Graphical Statistics, 27(2):255-267, 2018

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ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications, Juan Zuluaga-Gomez, Karel Vesely, Igor Szoke, Blatt Alexander, Petr Motlicek, Martin Kocour, Khalid Choukri, Nigmatulina Iuliia, Claudia Cevenini, Allan Tart, Jan Cernocky and Dietrich Klakow, in: Journal of Data-centric Machine Learning Research, 2024

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Local Machine Learning Models for Spatial Data Analysis, Nicolas Gilardi and Samy Bengio, in: Journal of Geographic Information and Decision Analysis, 4(01), 2000

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On the choice of the low-dimensional domain for global optimization via random embeddings, Mickaël Binois, David Ginsbourger and Olivier Roustant, in: Journal of Global Optimization, 2019

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Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques, Rekha Sahu, Satya Ranjan Dash, Lleuvelyn A Cacha, Roman R Poznanski and Shantipriya Parida, in: Journal of Integrative Neuroscience, 19(1):1-9, 2020

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Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: Journal of Machine Learning Research, 2016

Adaptive Sampling for Large Scale Boosting, Charles Dubout and Francois Fleuret, in: Journal of Machine Learning Research, 15:1431-1453, 2014

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Regularized Bundle Methods for Convex and Non-Convex Risks, Trinh-Minh-Tri Do and Thierry Artieres, in: Journal of Machine Learning Research, 13:3539-3583, 2012

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Natural Language Processing (Almost) from Scratch, Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu and Pavel Kuksa, in: Journal of Machine Learning Research, 12:2493-2537, 2011

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Bounded kernel-based perceptrons, Francesco Orabona, Joseph Keshet and Barbara Caputo, in: Journal of Machine Learning Research, Accepted for pub, 2009

SimpleMKL, Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet, in: Journal of Machine Learning Research, 9, 2008

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Stationary Features and Cat Detection, Francois Fleuret and Donald Geman, in: Journal of Machine Learning Research, 9, 2008

SVMTorch: Support Vector Machines for Large-Scale Regression Problems, Ronan Collobert and Samy Bengio, in: Journal of Machine Learning Research, 1, 2001

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Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs, Edgar Roman-Rangel, Jean-Marc Odobez and Daniel Gatica-Perez, in: Journal of Multimedia, 7(2):179--192, 2012

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High-Resolution EEG Techniques for Brain-Computer Interface Applications, F. Cincotti, D. Mattia, F. Aloise, S. Bufalari, L. Astolfi, F. De Vico Fallani, A. Tocci, L. Bianchi, M. G. Marciani, S. Gao, José del R. Millán and F. Babiloni, in: Journal of Neuroscience Methods, 2007

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Nonverbal Social Sensing in Action: Unobtrusive Recording and Extracting of Nonverbal Behavior in Social Interactions Illustrated with a Research Example, Denise Frauendorfer, Marianne Schmid Mast, Laurent Son Nguyen and Daniel Gatica-Perez, in: Journal of Nonverbal Behavior, 38(2):231-245, 2014

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Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design, Caroline Roberts, Jessica M. E. Herzing, Marc Asensio Manjon, Philip Abbet and Daniel Gatica-Perez, in: Journal of Official Statistics, 2022

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Towards semi-supervised learning of semantic spatial concepts for mobile robots, Jesus Martinez-Gomez and Barbara Caputo, in: Journal of Physical Agents, 2011

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Analysis of Vector Representations in Maintenance Logs in the Industry: Towards an Information Retrieval System, Jesús Roberto Enrique León Carmona, Samuel González-López, Esaú Villatoro-Tello and Jesús Miguel García-Gorrostieta, in: Journal of Research in Computing Science, 2021

Topic analysis and tracking from Mexico's President daily press briefing, Luis Armando Arias Romero, Gabriela Ramírez-de-la-Rosa and Esaú Villatoro-Tello, in: Journal of Research in Computing Science, 2021

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Perceptual classification of motor speech disorders: the role of severity, speech task, and listener's expertise, Michaela Pernon, Frederic Assal, Ina Kodrasi and Marina Laganaro, in: Journal of Speech, Language, and Hearing Research, 2022

On degeneracy and invariances of random fields paths with applications in Gaussian process modelling, David Ginsbourger, Olivier Roustant and Nicolas Durrande, in: Journal of Statistical Planning and Inference, 170:117-128, 2016

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What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study, Florian Labhart, Emmanuel Kuntsche and Rutger Engels, in: Journal of Studies on Alcohol and Drugs, 79(4):644-648, 2018

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Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks via a Smartphone App, Caroline Roberts, Jessica M. E. Herzing, Jimena Sobrino Piazza, Philip Abbet and Daniel Gatica-Perez, in: Journal of Survey Statistics and Methodology, 2022

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Missed Opportunities in Building Energy Performance Assessment, Minu Agarwal, Parag Cameron-Rastogi, Giuseppe Peronato and Georgios Mavromatidis, in: Journal of Sustainable Real Estate, 16(1), 2024

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Evaluation of Formant-Like Features for Automatic Speech Recognition, F. de Wet, Katrin Weber, Louis Boves, B. Cranen, Samy Bengio and Hervé Bourlard, in: Journal of the Acoustical Society of America (JASA), 116(3), 2004

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