Martina Bacaro

Malware Detection Based on Explainable AI

Peter Anthony PhD student at Slovak.AI Comenius University in Bratislava, Slovakia Abstract: Malware detection is a critical task in cybersecurity, and traditional signature-based approaches are often ineffective against new and evolving threats. Recent research has shown that machine learning models can improve the accuracy of malware classification. However, existing methods often suffer from poor generalization […]

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Multitask learning for enhanced depressive symptoms screening using real-life voice recordings

Abir Elbeji Luxembourg Institute of Health (LIH) Abstract: Depression affects around 4.4% of the global population, requiring early and accurate screening to reduce its long-term damage. Traditional screening approaches such as self-reported questionnaires have limitations, prompting the shift to objective assessment methods such as voice-based biomarkers. These biomarkers offer non-invasive and scalable depression screening, though

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TAILOR Selected Papers: December

We are thrilled to announce that TAILOR is starting a new section! Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz. The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable

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TAILOR Scientists at NeurIPS 2023

The next NeurIPS conference is scheduled to take place in New Orleans from Sunday, December 10th – Saturday, December 16th, 2023. The NeurIPS conference is one of the major worldwide annual appointments in the field of AI. The conference was founded in 1987 and is now a multi-track interdisciplinary meeting that includes invited talks, demonstrations, symposia,

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ADRF2023: TAILOR contributions to the discussion on Generative AI for European society and Industry

The AI, Data, Robotics Forum 2023 (ADRF) took place at the Inria headquarters, Le Chesnay-Rocquencourt, near Versailles (France), on November 8th and 9th this year. The ADRF, with its extensive coverage of various topics, particularly focused on ‘European Generative AI for European society and industry’ in its latest edition. Sponsored by the TAILOR project through

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A debate at the European Symposium on Foundation Models: Open questions and Expert Opinions

Large Language Models (LLMs) and Foundation Models have taken the world and even researchers by surprise for their capabilities, notwithstanding their limitations. This has spurred worldwide controversy about the development, the potentials and the risks of AI technologies in general. There is no doubt that these technologies will have a relevant role in shaping our

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PhD student Elisabetta Gentili won the Best Student Paper Award at the 32nd International Conference on Inductive Logic Programming (ILP2023)

The 32nd International Conference on Inductive Logic Programming (ILP2023) was held in Bari, Italy, 13-15 November 2023, as a component of the 3rd International Joint Conference on Learning & Reasoning, IJCLR 2023. Elisabetta Gentili, PhD student at the University of Ferrara as part of TAILOR partner CINI, was awarded together with other researchers with the Best

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Explainable Semi-Supervised Fuzzy C-Means

Kamil Kmita Research Assistant at Systems Research Institute, Polish Academy of Sciences Semi-Supervised Fuzzy C-Means (SSFCMeans) model adapts an unsupervised fuzzy clustering algorithm to handle partial supervision in the form of categorical labels. One of the key challenges is to appropriately handle the impact of partial supervision (IPS) on the outcomes of the model. SSFCMeans

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The First Workshop on Hybrid Human-Machine Learning and Decision Making

Andrea Passerini Associate professor at University of Trento In the past, machine learning and decision-making have been treated as independent research areas. However, with the increasing emphasis on human-centered AI, there has been a growing interest in combining these two areas. Researchers have explored approaches that aim to complement human decision-making rather than replace it,

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AI for PeopleInternational Conference “AI for People: Democratizing AI”AI for People

AI for People International nonprofit organization The International Conference “AI for People” was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed

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