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.
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.
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 …
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 …
Also for this call, Connectivity Fund received many applications. We are glad to announce the funded projects for this session: For having a look to the other projects granted by Connectivity Fund, check this webpage: https://tailor-network.eu/connectivity-fund/funded-projects/ The call for Connectivity Fund is every 4 months. The next deadline is on 15th of March 2023, for …
Ivica Obadic Chair of Data Science in Earth Observation at the Technical University of Munich Extreme weather events and climate changes increase the need for automated flood detection systems. In recent years, the deep learning models trained on earth observation data became promising approach for this problem producing state-of-the-art predictive results. Nevertheless, their usage in …
