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NLPHut's Participation at WAT2021, Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek and Ondrej Bojar, in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146--154, Association for Computational Linguistics, 2021
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Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Mael Fabien and Petr Motlicek, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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Idiap Submission to Swiss-German Language Detection Shared Task, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), CEUR Workshop Proceedings, 2020
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Towards Wine Tasting Activity Recognition for a Digital Sommelier, Mario Parra, Jesus Favela, Luis Castro and Daniel Gatica-Perez, in: Proc. ACM Workshop on Exploring Innovative Technology for Commensality and Human-Food Interaction, 2024
Exploiting Contextual Information for Speech/Non-Speech Detection, Sree Hari Krishnan Parthasarathi, Petr Motlicek and Hynek Hermansky, in: Text, Speech and Dialogue, Brno, Czech Republic, Springer-Verlag Berlin, Heidelberg, 2008
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Active Learning by Feature Mixing, Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel and Javen Qinfeng Shi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective, Novi Patricia and Barbara Caputo, in: Proceedings of the Computer Vision and Pattern Recognition, Columbus, OH, pages 1442-1449, IEEE, 2014
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Multi-Source Adaptive Learning for Fast Control of Prosthetics Hand, Novi Patricia, Tatiana Tommasi and Barbara Caputo, in: Proceedings of the International Conference on Pattern Recognition, Stockholm, pages 2769 - 2774, 2014
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Direct Non-Invasive Brain Computer Interfaces, R. Grave de Peralta Menendez, S. L. González Andino, José del R. Millán, T. Pun and C. M. Michel, in: Proceedings of the 9th International Conference on Functional Mapping of the Human Brain, 2003
Non-Invasive Estimation of Local Field Potentials for Neuroprosthesis Control, R. Grave de Peralta Menendez, S. L. González Andino, L. Perez, Pierre W. Ferrez and José del R. Millán, in: Cognitive Processing, Special Issue on Motor Planning in Humans and Neuroprosthesis Control, 6(1), 2005
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