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Exploratory Study on Direct Prediction of Diabetes using Deep Residual Networks, Samaneh Abbasi-Sureshjani, Behdad Dasht Bozorg, Bart ter Haar Romeny and Francois Fleuret, in: Proceedings of the thematic conference on computational vision and medical image processing, 2017
GLoFool: global enhancements and local perturbations to craft adversarial images, Mirko Agarla and Andrea Cavallaro, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024
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Vision-Language Pretraining: Current Trends and the Future, Aishwarya Agrawal, Damien Teney and Aida Nematzadeh, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2022
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Entity Matching Across Small Networks Using Node Attributes, Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth Madikeri, Petr Motlicek, Erinc Dikici, Gerhard Backfried, Marek Kovac and Daniel Kudenko, in: ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19-24, 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings, 2024
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Robust Audio Segmentation, Jitendra Ajmera, Iain A. McCowan and Hervé Bourlard, École Polytechnique Fédérale de Lausanne, 2004
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Robust Speaker Change Detection, Jitendra Ajmera, Iain A. McCowan and Hervé Bourlard, in: IEEE Signal Processing Letters (to appear), 2003
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A Robust Speaker Clustering Algorithm, Jitendra Ajmera and Charles Wooters, in: IEEE Automatic Speech Recognition Understanding Workshop, 2003
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Finding Audio-Visual Events in Informal Social Gatherings, Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud and Florence Forbes, in: IEEE/ACM 13th International Conference on Multimodal Interaction, 2011
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A real-time deformable detector., Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
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Joint Pose Estimator and Feature Learning for Object Detection, Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2009
FlowBoost - Appearance Learning from Sparsely Annotated Video, Karim Ali, David Hasler and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2011
Learning from demonstrations with partially observable task parameters, T. Alizadeh, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3309 - 3314, IEEE, 2014
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Framing the News: From Human Perception to Large Language Model Inferences, David Alonso del Barrio and Daniel Gatica-Perez, in: International Conference on Multimedia Retrieval (ICMR '23), June 12--15, 2023, Thessaloniki, Greece, 2023
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Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework, David Alonso del Barrio and Daniel Gatica-Perez, in: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), June 12, 2023, Thessaloniki, Greece, 2023
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How Did Europe’s Press Cover Covid-19 Vaccination News? A Five-Country Analysis, David Alonso del Barrio and Daniel Gatica-Perez, in: MAD '22: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, 2022
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