Alle Publikationen nach Titel sortiert


T

Jean-Paul Calbimonte, Davide Calvaresi und 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, Seiten 40-51, Springer, 2021
attachment
[DOI]
Berk Buzcu, Davide Calvaresi, Banani Anuraj und 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
attachment
[DOI]
Thomas Steiner, Bruno Montani und 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
[URL]
giovanni ciatto, Amro Najjar, Jean-Paul Calbimonte und Davide Calvaresi, Towards Explainable Visionary Agents: License to Dare and Imagine, in: Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2021, Seiten 139--157, Springer, 2021
attachment
[DOI]
Rima Kilany, Sokhn Maria, Hussein Hellani und Shaban Shabani, Towards Flexible K-Anonymity, in: 7th International Conference on Knowledge Engineering and Semantic Web, Prague, Czech Republic, Seiten 288-297, Springer, 2016
attachment
[DOI]
[URL]
Farshideh Einsele, Jean Hennebert und 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 und Sokhn Maria, Towards internal privacy and flexible K-anonymity, in: Applied Research in Computer Science and Engineering (ICAR), 2015 International Conference on, Lebanon, Seiten 1-2, IEEE, 2015
attachment
[DOI]
[URL]
Jean-Paul Calbimonte, Davide Calvaresi, Fabien Dubosson und 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), Seiten 16-28, Springer Verlag, 2019
attachment
[DOI]
Jerome Treboux, Rolf Ingold und 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, Seiten 1-6, IEEE, 2020
attachment
[DOI]
Visara Urovi, Stefano Bromuri, Kostas Stathis und Alexander Artikis, Towards Runtime Support for Norm-Governed Multi-Agent Systems, in: Twelfth International Conference on the Principles of Knowledge Representation and Reasoning, 2010
attachment
[URL]
Gaetano Manzo, Benjamin Pocklington, Yvan Pannatier, Cathy Gay, Anjani Dhrangadhariya, Sophie Carrard, Roger Hilfiker und 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}), Seiten 135--136, 2023
download
[URL]
Jean-Paul Calbimonte, Fabien Dubosson und 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
attachment
[URL]
Junsheng Zhang, Yunchuan Sun und Antonio J Jara, Towards semantically linked multilingual corpus (2015), in: International Journal of Information Management, 35:3(387--395)
René Schumann und 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, Seiten 55-63, CEUR Workshop proceedings, 2019
attachment
[URL]
Nour Charara, Iman Jarkass, Sokhn Maria, Elena Mugellini und 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), Seiten 116-121, 2014
attachment
Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid und 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, Seiten 1758--1761, 2020
attachment