Todas as publicações

2021
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, páginas 682–687, ACM, 2021
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Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi and Alexandre Cotting, A Platform for Difficulty Assessment and Recommendation of Hiking Trails, in: Information and Communication Technologies in Tourism (ENTER 2021), 2021
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Maru Harshnad, Bagga Vinnie, Anjani Dhrangadhariya and Georrge John J, A review on marine fish toxins and venoms, in: Recent Trends in Science and Technology, páginas 225-237, Christ Publications, 2021
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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, páginas 39--54, Springer International Publishing, 2021
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Sandra Grèzes and Vincent Grèzes, Designing a sustainable, circular culinary system - The case of the tourism region of Valais, Switzerland, TOURMAN 2021 - 4th International Scientific Conference “Restarting tourism, travel and hospitality: The day after", Internati, 2021
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Davide Calvaresi, giovanni ciatto, Amro Najjar, Reyhan Aydoğan, Leon Van der Torre, Andrea Omicini and Michael Schumacher, Expectation: Personalized Explainable ArtificialIntelligence for Decentralized Agents withHeterogeneous Knowledge, in: Proceedings of the 3rd International Workshop on Explainable and Transparent AI and Multi-Agent Systems (EXTRAAMAS 2021), 2021
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Head and Neck Tumor Segmentation, Springer International Publishing, 2021
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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, páginas 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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