GenIDA, a participatory patient registry for genetic forms of intellectual disability provides detailed caregiver-reported information on 237 individuals with Koolen-de Vries syndrome

Autor: Florent Colin, Pauline Burger, Timothée Mazzucotelli, Axelle Strehle, Joost Kummeling, Nicole Collot, Elyette Broly, Angela T. Morgan, Kenneth A. Myers, Agnès Bloch-Zupan, Charlotte W. Ockeloen, Bert B.A. de Vries, Tjitske Kleefstra, Pierre Parrend, David A. Koolen, Jean-Louis Mandel

Publikováno v: Genetics in Medicine Open, Vol 1, Iss 1, Pp 100817- (2023)

Purpose: GenIDA is an international patient registry for individuals diagnosed with intellectual disability, autism spectrum disorder, and/or epilepsy, which is based on an online questionnaire that is completed by parent caregivers. In this study, t

Externí odkaz: https://doaj.org/article/993a3f37f3f24bdabf49664b01fbda88

Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection

Autor: Pierre Parrend, Julio Navarro, Fabio Guigou, Aline Deruyver, Pierre Collet

Publikováno v: EURASIP Journal on Information Security, Vol 2018, Iss 1, Pp 1-21 (2018)

Abstract Behind firewalls, more and more cybersecurity attacks are specifically targeted to the very network where they are taking place. This review proposes a comprehensive framework for addressing the challenge of characterising novel complex thre

Externí odkaz: https://doaj.org/article/4c31f12b57f2403cba627880a18a6c98

A hybrid optimization tool for active magnetic regenerator

Autor: Anna Ouskova Leonteva, Michel Risser, Radia Hamane, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet

Publikováno v: GECCO '22: Genetic and Evolutionary Computation Conference
GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston Massachusetts, United States. pp.739-742, ⟨10.1145/3520304.3529055⟩

International audience; Active Magnetic Regenerator (AMR) refrigeration is an innovate technology, which can reduce energy consumption and the depletion of the ozone layer. However, to develop a commercially applicable design of the AMR model is stil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ec9dca54d80e4a09f03da16f691b98
https://hal.science/hal-03902551/document

Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks

Autor: Amani Abou Rida, Rabih Amhaz, Pierre Parrend

Publikováno v: Complex Networks & Their Applications X ISBN: 9783030934125

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e4464d25c3ebe3ad5d40640dd2d41365
https://doi.org/10.1007/978-3-030-93413-2_47

Explainability and Performance of Anticipatory Learning Classifier Systems in Non-Deterministic Environments

Autor: Pierre Collet, Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend

Publikováno v: Genetic and Evolutionary Computation Conference (GECCO)
Genetic and Evolutionary Computation Conference (GECCO), Jun 2021, En ligne, France. ⟨10.1145/3449726.3459510⟩
Genetic and Evolutionary Computation Conference (GECCO), Jun 2021, En ligne, France
GECCO Companion

In the field of Reinforcement Learning, models based on neural networks are highly performing, but explaining their decisions is very challenging. Instead of seeking to open these "black boxes" to meet the increasing demand for explainability, anothe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0e624ad7e5b077f547b1ac60f736c5
https://hal.science/hal-03274295