All publications

2023
Gianluca Rizzo, Towards AI-Native Vehicular Communications, in: IEEE VTC Spring 2023, IEEE, Florence, Italy, IEEE, 2023
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Gaetano Manzo, Benjamin Pocklington, Yvan Pannatier, Cathy Gay, Anjani Dhrangadhariya, Sophie Carrard, Roger Hilfiker and Jean-Paul Calbimonte, Towards Semantic Modeling of Patient Trajectories for Rehabilitation of Osteoarthritis, in: 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences ({SWAT4HCLS}), pages 135--136, 2023
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Anne-Dominique Salamin and Zhan Liu, University Examinations: How New Generation Learners Design Their Own Revising Process, in: EDEN 2023 Annual Conference, EDEN DIGITAL LEARNING EUROPE, Dublin, Ireland, 2023
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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen De Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rätsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H Sudre, Kimberlin van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Huan Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Plotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem Abdul Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen Yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hain, Paul F. Jäger, Annette Kopp-Schneider and Lena Maier-Hein, Why is the winner the best?, in: CVPR, 2023
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2022
Zhan Liu, Shaban Shabani, Xianyun Yu, Sokhn Maria and Nicole Glassey Balet, A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese Case, in: 15th International Conference on Human-Centered Intelligent Systems, KES, Rhodes, Greece, pages 3-12, Springer, 2022
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Vincent Grèzes, Valérie Barbey, Riccardo Bonazzi, Deborah Previdoli and Sherine Seppey, A Three-Level Analysis of the Innovation and Resilience Strategies During the COVID-19 Crisis, chapter 24, IGI Global Publishing, volume Handbook of Research on Entrepreneurship and Organizational Resilience During Unprecedented Times, 2022
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Jakub Mlynar, Farzaneh Bahrami, Andre Ourednik, Nico Mutzner, Himanshu Verma and Hamed Alavi, AI beyond Deus ex Machina – Reimagining Intelligence in Future Cities with Urban Experts, in: CHI Conference on Human Factors in Computing Systems (CHI '22), April 29-May 5, 2022, New Orleans, LA, USA, ACM, 2022
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Jerome Treboux, Aurore Pittet and Dominique Genoud, An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, pages 1-6, IEEE, 2022
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Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller and Maria Rodriguez Martinez, Attention-based Interpretable Regression of Gene Expression in Histology, in: Proceedings of the The Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2022, 2022
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Zhan Liu and Nicole Glassey Balet, Bringing Big Data into Media: A Decision-Making Model for Targeting Digital News Content, in: 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), pages 218-223, IEEE, 2022
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Krešimir Kušić, René Schumann and Edouard Ivanjko, Building a Motorway Digital Twin in SUMO: Real-Time Simulation of Continuous Data Stream from Traffic Counters,, in: Proceedings of the 2022 International Symposium ELMAR, Zadar, Croatia, pages 71 -- 76, IEEE, 2022
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Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes and Adrien Depeursinge, Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, pages 367–380, Springer International Publishing, 2022
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Digitalization: Training university professors and students with Flashlearns, chapter 29, pages 313, Springer, volume 581, 2022
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Anne-Dominique Salamin, Digitalization: Training university professors and students with Flashlearns (2022), in: Innovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education, 581
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Anjani Dhrangadhariya and Henning Müller, DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature, in: Proceedings of the 21st Workshop on Biomedical Language Processing, Dublin, Ireland, pages 345--358, 2022
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Florian Evéquoz, Johan Rochel, Vijay Keswani and L. Elisa Celis, Diverse Representation via Computational Participatory Elections - Lessons from a Case Study, in: Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’22), ACM, Arlington, VA, 2022
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