Todas as publicações sorted by title


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Jean-Paul Calbimonte, Davide Calvaresi and Michael Schumacher, Towards Collaborative Creativity in Persuasive Multi-agent Systems, in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, páginas 40-51, Springer, 2021
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Berk Buzcu, Davide Calvaresi, Banani Anuraj and Jean-Paul Calbimonte, Towards Dynamic Self-Organizing Wearables for Head and Neck Digital Rehabilitation, in: Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, ACM, 2024
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Thomas Steiner, Bruno Montani and Roland Schegg, Towards Evolutionary Software Processes in Small- and Medium-sized Tourism Enterprises, in: Proceedings of the AIEST congress “The Future of SME's in Tourism”, Petra, Jordan, 2004
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giovanni ciatto, Amro Najjar, Jean-Paul Calbimonte and Davide Calvaresi, Towards Explainable Visionary Agents: License to Dare and Imagine, in: Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2021, páginas 139--157, Springer, 2021
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Rima Kilany, Sokhn Maria, Hussein Hellani and Shaban Shabani, Towards Flexible K-Anonymity, in: 7th International Conference on Knowledge Engineering and Semantic Web, Prague, Czech Republic, páginas 288-297, Springer, 2016
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Farshideh Einsele, Jean Hennebert and Rolf Ingold, Towards Identification Of Very Low Resolution, Anti-Aliased Characters, in: IEEE International Symposium on Signal Processing and its Applications (ISSPA'07), Sharjah, United Arab Emirates, 2007
Hussein Hellani, Rima Kilany and Sokhn Maria, Towards internal privacy and flexible K-anonymity, in: Applied Research in Computer Science and Engineering (ICAR), 2015 International Conference on, Lebanon, páginas 1-2, IEEE, 2015
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Jean-Paul Calbimonte, Davide Calvaresi, Fabien Dubosson and Michael Schumacher, Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change, in: Proc of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), páginas 16-28, Springer Verlag, 2019
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Jerome Treboux, Rolf Ingold and Dominique Genoud, Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, páginas 1-6, IEEE, 2020
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Visara Urovi, Stefano Bromuri, Kostas Stathis and Alexander Artikis, Towards Runtime Support for Norm-Governed Multi-Agent Systems, in: Twelfth International Conference on the Principles of Knowledge Representation and Reasoning, 2010
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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}), páginas 135--136, 2023
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Jean-Paul Calbimonte, Fabien Dubosson and Michael Schumacher, Towards Semantic Models for Profiling and Behavior Change in eHealth Applications, in: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), CEUR-WS, 2019
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Junsheng Zhang, Yunchuan Sun and Antonio J Jara, Towards semantically linked multilingual corpus (2015), in: International Journal of Information Management, 35:3(387--395)
René Schumann and Caroline Taramarcaz, Towards Systematic Testing of Complex Interacting Systems, in: Proceedings of the First Workshop on Systemic Risks in Global Networks co-located with 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Siegen, Germany, páginas 55-63, CEUR Workshop proceedings, 2019
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Nour Charara, Iman Jarkass, Sokhn Maria, Elena Mugellini and Omar Abou Khaled, Tracking a Screen and Detecting its Rate of Change in 3-D Video Scenes of Multipurpose Halls, in: JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY, 3rd International Conference on Signal, Image Processing and Applications (ICSIA 2013), páginas 116-121, 2014
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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, páginas 1758--1761, 2020
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