Zobrazeno 1 - 10
of 891
pro vyhledávání: '"Dricot A"'
With the transition towards a smart grid, Information and Communications Technology (ICT) infrastructures play a growing role in the operation of transmission systems. Cyber-physical systems are usually studied using co-simulation. The latter allows
Externí odkaz:
http://arxiv.org/abs/2311.14467
Autor:
Caroline E.M.K. Dricot, Isabel Erreygers, Eline Cauwenberghs, Jocelyn De Paz, Irina Spacova, Veronique Verhoeven, Sarah Ahannach, Sarah Lebeer
Publikováno v:
npj Biofilms and Microbiomes, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Riboflavin (vitamin B2) is an essential water-soluble vitamin that serves as a precursor of flavin mononucleotide (FMN) and flavin adenine dinucleotide (FAD). FMN and FAD are coenzymes involved in key enzymatic reactions in energy metabolism
Externí odkaz:
https://doaj.org/article/ae2749ad27cd4386ae6a5dc6cfe7ebc4
Autor:
Debicha, Islam, Cochez, Benjamin, Kenaza, Tayeb, Debatty, Thibault, Dricot, Jean-Michel, Mees, Wim
Nowadays, numerous applications incorporate machine learning (ML) algorithms due to their prominent achievements. However, many studies in the field of computer vision have shown that ML can be fooled by intentionally crafted instances, called advers
Externí odkaz:
http://arxiv.org/abs/2303.07003
Autor:
Debicha, Islam, Cochez, Benjamin, Kenaza, Tayeb, Debatty, Thibault, Dricot, Jean-Michel, Mees, Wim
Publikováno v:
Computers & Security, 2023, ISSN 0167-4048
Due to the numerous advantages of machine learning (ML) algorithms, many applications now incorporate them. However, many studies in the field of image classification have shown that MLs can be fooled by a variety of adversarial attacks. These attack
Externí odkaz:
http://arxiv.org/abs/2303.06664
Autor:
Lisa Quenon, Lyduine E. Collij, David Vállez Garcia, Isadora Lopes Alves, Thomas Gérard, Vincent Malotaux, Lara Huyghe, Juan Domingo Gispert, Frank Jessen, Pieter Jelle Visser, Anouk den Braber, Craig W. Ritchie, Mercè Boada, Marta Marquié, Rik Vandenberghe, Emma S. Luckett, Michael Schöll, Giovanni B. Frisoni, Christopher Buckley, Andrew Stephens, Daniele Altomare, Lisa Ford, Cindy Birck, Anja Mett, Rossella Gismondi, Robin Wolz, Sylke Grootoonk, Richard Manber, Mahnaz Shekari, Renaud Lhommel, Laurence Dricot, Adrian Ivanoiu, Gill Farrar, Frederik Barkhof, Bernard J. Hanseeuw, the AMYPAD Consortium
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Background There is good evidence that elevated amyloid-β (Aβ) positron emission tomography (PET) signal is associated with cognitive decline in clinically normal (CN) individuals. However, it is less well established whether there is an a
Externí odkaz:
https://doaj.org/article/916789749e284220b7135dd30f36111c
Autor:
Debicha, Islam, Bauwens, Richard, Debatty, Thibault, Dricot, Jean-Michel, Kenaza, Tayeb, Mees, Wim
Publikováno v:
Future Generation Computer Systems 138 (2023): 185-197
Nowadays, intrusion detection systems based on deep learning deliver state-of-the-art performance. However, recent research has shown that specially crafted perturbations, called adversarial examples, are capable of significantly reducing the perform
Externí odkaz:
http://arxiv.org/abs/2210.15700
Autor:
Berger, Alexandre, Cerra, Michele, Joris, Vincent, Danthine, Venethia, Macq, Benoit, Dricot, Laurence, Vandewalle, Gilles, Delinte, Nicolas, El Tahry, Riëm
Publikováno v:
In Neurotherapeutics September 2024 21(5)
Autor:
Géraldine Petit, Sophie Leclercq, Caroline Quoilin, Marie Poncin, Peter Starkel, Pierre Maurage, Benjamin Rolland, Laurence Dricot, Philippe De Timary
Publikováno v:
Neuropsychopharmacology Reports, Vol 43, Iss 4, Pp 513-520 (2023)
Abstract Background Anxiety and depression are psychopathological states frequently co‐occurring with severe alcohol use disorder (SAUD). These symptoms generally disappear with abstinence but may persist in some patients, increasing the relapse ri
Externí odkaz:
https://doaj.org/article/7c24cb06a71641ab99330f7da6b5add4
In the last decade, the use of Machine Learning techniques in anomaly-based intrusion detection systems has seen much success. However, recent studies have shown that Machine learning in general and deep learning specifically are vulnerable to advers
Externí odkaz:
http://arxiv.org/abs/2112.12095
Publikováno v:
In Journal of Quantitative Spectroscopy and Radiative Transfer December 2024 328