Zobrazeno 1 - 10
of 6 531
pro vyhledávání: '"A. Lenaerts"'
Autor:
Attafi, Omar Abdelghani, Clementel, Damiano, Kyritsis, Konstantinos, Capriotti, Emidio, Farrell, Gavin, Fragkouli, Styliani-Christina, Castro, Leyla Jael, Hatos, András, Lenaerts, Tom, Mazurenko, Stanislav, Mozaffari, Soroush, Pradelli, Franco, Ruch, Patrick, Savojardo, Castrense, Turina, Paola, Zambelli, Federico, Piovesan, Damiano, Monzon, Alexander Miguel, Psomopoulos, Fotis, Tosatto, Silvio C. E.
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling an
Externí odkaz:
http://arxiv.org/abs/2408.07721
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central. In LLE, agents depend on each other to make progress (interdependence), must jointly take specific seq
Externí odkaz:
http://arxiv.org/abs/2404.03596
Extracting from shared resources requires making choices to balance personal profit and sustainability. We present the results of a behavioural experiment wherein we manipulate the default extraction from a finite resource. Participants were exposed
Externí odkaz:
http://arxiv.org/abs/2403.06796
Individual and social biases undermine the effectiveness of human advisers by inducing judgment errors which can disadvantage protected groups. In this paper, we study the influence these biases can have in the pervasive problem of fake news by evalu
Externí odkaz:
http://arxiv.org/abs/2403.08829
Autor:
Lenaerts, Koen, author
Publikováno v:
The Global Community Yearbook of International Law and Jurisprudence 2023 : Global Law, Politics, Ethics, Justice, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197795392.003.0026
Experts advising decision-makers are likely to display expertise which varies as a function of the problem instance. In practice, this may lead to sub-optimal or discriminatory decisions against minority cases. In this work we model such changes in d
Externí odkaz:
http://arxiv.org/abs/2305.01063
Autor:
Tubella, Andrea Aler, Mollo, Dimitri Coelho, Lindström, Adam Dahlgren, Devinney, Hannah, Dignum, Virginia, Ericson, Petter, Jonsson, Anna, Kampik, Timotheus, Lenaerts, Tom, Mendez, Julian Alfredo, Nieves, Juan Carlos
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve around techni
Externí odkaz:
http://arxiv.org/abs/2304.11217
Autor:
Carolina Velazquez, Lien Loier, Ilana Struys, Eline Verscheure, Leentje Persoons, Lode Godderis, Liesbeth Lenaerts, Frédéric Amant
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Prenatal exposure to toxins can adversely affect long-term health outcomes of the offspring. Though chemotherapeutics are now standard of care for treating cancer patients during pregnancy, certain compounds are known to cross the placenta a
Externí odkaz:
https://doaj.org/article/aacf46a009194e149c6101cd6ff88a50
Autor:
Van Buggenhout, Simon, Ignacz, Gergo, Caspers, Scout, Dhondt, Robin, Lenaerts, Marie, Lenaerts, Nathalie, Hosseinabadi, Sareh Rezaei, Nulens, Ines, Koeckelberghs, Guy, Ren, Yi, Lively, Ryan P., Rabiller-Baudry, Murielle, Lim, Ki Min, Ghazali, Nazlee, Coronas, Joaquin, Abel, Milan, Wessling, Matthias, Skiborowski, Mirko, Oxley, Adam, Han, Seok Ju, Livingston, Andrew, Yi, Zhuan, Gao, Congjie, Guan, Kecheng, Gonzales, Ralph Rolly, Matsuyama, Hideto, Bettahalli, Srivatsa NM., McCutcheon, Jeffrey R., Radmanesh, Farzaneh, Benes, Nieck E., Tashvigh, Akbar Asadi, Fang, Qing, Zhang, Kaisong, Chen, Guining, Jin, Wanqin, Zhang, Yatao, Zhang, Chun-Xu, Liu, Mei-Ling, Sun, Shi-Peng, Buekenhoudt, Anita, Zhao, Chen, Bruggen, Bart Van der, Kim, Jeong F., Condes, Lucas C., Webb, Matthew T., Galizia, Michele, Alhazmi, Banan, Upadhyaya, Lakshmeesha, Nunes, Suzana P., Kim, Dae Woo, Schröter, Henrik, Kragl, Udo, Störtte, Sven, Vorholt, Andreas J., Culfaz-Emecen, P. Zeynep, Pizzoccaro-Zilamy, Marie-Alix, Winnubst, Louis, Yushkin, Alexey, Volkov, Alexey, Chau, John, Sirkar, Kamalesh K., Lu, Shao, Szekely, Gyorgy, Vankelecom, Ivo, Verbeke, Rhea
Publikováno v:
In Journal of Membrane Science January 2025 713
We here present a stepping stone towards a deeper understanding of convolutional neural networks (CNNs) in the form of a theory of learning in linear CNNs. Through analyzing the gradient descent equations, we discover that the evolution of the networ
Externí odkaz:
http://arxiv.org/abs/2303.02034