We are thrilled to announce that some TAILOR scientists will be participating in two of the most prestigious conferences in the AI field: AAMAS and CVPR. At AAMAS 2023 (the 22nd International Conference on Autonomous Agents and Multi-Agent Systems) in London, UK, from May 29th to June 2nd, TAILOR scientists will be presenting groundbreaking research […]
TAILOR scientists at AAMAS and CVPR Read More »
The Association for the Advancement of Artificial Intelligence (AAAI) established the Fellows program in 1990 to acknowledge individuals who have made significant and prolonged contributions to the field of AI, typically spanning at least ten years. Each February, AAAI members nominate individuals they believe have achieved extraordinary distinction in AI. Then, a committee of nine
Ana Paiva elected in the AAAI 2023 Fellow Class Read More »
Ray Walshe, an internationally recognised ICT Standardisation Expert and Senior Researcher, will join the TAILOR network at the 3rd TAIILOR conference, 5-6 June 2023. His keynote will discuss how best to support innovation in new technologies, interoperability and globalisation for the market via European Union standardisation funding.
Keynote by Ray Walshe at the 3rd TAILOR conference Read More »
Thomas G. Dietterich, one of the pioneers of the field of Machine Learning, will join the TAILOR network for a keynote talk at the 3rd TAIILOR conference, 5-6 June 2023 in Siena, Italy.
Keynote by Thomas G. Dietterich at the 3rd TAILOR conference Read More »
The annual conference of the International Federation for Information Processing 8.5 (ICT & Public Administration) Working Group on e-Government, e-Democracy and e-Participation this year will be held at Corvinus University of Budapest (https://uni-corvinus.hu/?lang=en) 5-7 September 2023. Details on the EGOV-CeDEM-EPART 2023 conference may be found at https://dgsociety.org/egov-2023/. The Deadline for paper submission is 31 March and
EGOV-CeDEM-EPART 2023 conference at Corvinus University of Budapest, 5-7 September 2023 Read More »
The Collaboration Exchange Fund (CEF) awarded the first projects submitted by PhD students within the TAILOR network. The TAILOR Collaboration Exchange Fund aims to enhance collaboration between TAILOR partners by funding the mobility of PhD students. While Connectivity Fund (https://tailor-network.eu/connectivity-fund/) is dedicated to funding exchanges between TAILOR and non-TAILOR scientists, the CEF is for boosting
New projects funded by Collaboration Exchange Fund Read More »
Ya Song PhD student at Eindhoven University of Technology Abstract: In the research field of solving combinatorial optimization problems, many studies have considered combining machine learning with optimization algorithms and proposed so-called learning-based optimization algorithms. Compared to traditional handcrafted algorithms, these methods can automatically extract relevant knowledge from training data and require less domain knowledge. In
Graph Representation Learning for Solving Combinatorial Optimization Problems Read More »
The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world. The 37th AAAI Conference on Artificial
Feedback from TAILOR scientists at the 37th AAAI Conference on Artificial Intelligence Read More »
Martina cinquini PhD student at the University of Pisa Abstract: Artificial Intelligence (AI) has become ubiquitous in many sensitive domains where individuals and society can potentially be harmed by its outputs. In an attempt to reduce the ethical or legal implications of AI-based decisions, the scientific community’s interest in fairness-aware Machine Learning has been increasingly
Causal Analysis for Fairness of AI Models Read More »
Martina Bacaro PhD student at the University of Bologna – Alma Mater Studiorum Abstract: Interactions between humans and robots are increasing both in specialistic and everyday scenarios. Trustworthiness is acknowledged as a key factor for successful engagements between humans and robots. For humans to understand and rely on robots’ actions and intentions, they need to
