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Topic: Institute of Informatics (II)

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  • 1349 publications (0 read)
  • 1869 authors [view]
  • 18 Subtopics
Publications for topic "Institute of Informatics (II)" sorted by recency

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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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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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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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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Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022
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Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joel Castelli, John O. Prior and Adrien Depeursinge, Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT, in: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 4731-4735, 2022
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Zhan Liu, Matthieu Delaloye, Nicole Glassey Balet, Sébastien Hersant, Frédéric Gris and Laurent Sciboz, Trust in the News: A Digital Labelling Solution for Journalistic Contents (2022), in: Online Journal of Communication and Media Technologies, 12:2(e202207)
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Davide Calvaresi, Stefan Eggenschwiler, Jean-Paul Calbimonte, Gaetano Manzo and Michael Schumacher, A personalized agent-based chatbot for nutritional coaching, in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, VIC, Australia, pages 682–687, ACM, 2021
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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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Jerome Treboux, Rolf Ingold and Dominique Genoud, Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, pages 1-6, IEEE, 2021
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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk, On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391)
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Khoa Nguyen and René Schumann, A Socio-psychological Approach to Simulate Trust and Reputation in Modal Choices, in: PRIMA 2020: Principles and Practice of Multi-Agent Systems, pages 39--54, Springer International Publishing, 2021
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Jean-Paul Calbimonte, Davide Calvaresi and Michael Schumacher, Decentralized Management of Patient Profiles and Trajectories through Semantic Web Agents, in: Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), pages 19--29, CEUR-WS.org, 2020
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