Publications

Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption
Saeid Jamshidi
Kawser Wazed Nafi
Amin Nikanjam
Foutse Khomh
2025-06-01
Computers & Industrial Engineering (publié)
doi.org
arxiv.org
Generative AI: Hype, Hope, and Responsible Use in Science and Everyday Life
Doina Precup
2025-05-01
Biological Psychiatry (publié)
doi.org
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
Matt Schmittle
Rohan Baijal
Nathan Hatch
Rosario Scalise
Mateo Guaman Castro
Sidharth Talia
Khimya Khetarpal
Byron Boots
S. Srinivasa
2025-04-17
ArXiv (prépublication)
arxiv.org
arxiv.org
Sliced-Wasserstein Distance-based Data Selection
Julien Pallage
Antoine Lesage-Landry
2025-04-17
ArXiv (prépublication)
arxiv.org
arxiv.org
Contemporary review of critical illness following allogeneic hematopoietic stem cell transplant in adults.
Laveena Munshi
Guillaume Dumas
Bruno Ferreryro
Cristina Gutierrez
Boris Böll
Pedro Castro
Sanjay Chawla
Matteo Di Nardo
Antoine Lafarge
Colleen McEvoy
Djamel Mokart
Antonio Paulo Nassar
Judith Nelson
Frédéric Pène
Peter Schellongowski
Elie Azoulay
2025-04-16
Intensive Care Medicine (publié)
doi.org
Alcohol related hepatitis in intensive care units: clinical and biological spectrum and mortality risk factors: a multicenter retrospective study
Maxime Gasperment
Léa Duhaut
Nicolas Terzi
Côme Gerard
Luc Haudebourg
Alexandre Demoule
Mialy Randrianarisoa
Vincent Castelain
Sacha Sarfati
Fabienne Tamion
Charlene Le Moal
Christophe Guitton
Gabriel Preda
Arnaud Galbois
Thibault Vieille
Gaël Piton
Marika Rudler
Guillaume Dumas
Hafid AIT-OUFELLA
Background Alcohol related hepatitis is responsible for high morbidity and mortality, but little is known about the management of patients w… (voir plus)ith hepatitis specifically in intensive care units (ICU). Methods Retrospective study including patients with alcohol related hepatitis hospitalized in 9 French ICUs (2006–2017). Alcohol related hepatitis was defined histologically or by an association of clinical and biological criteria according to current guidelines. Results 187 patients (median age: 53 [43–60]; male: 69%) were included. A liver biopsy was performed in 51% of cases. Patients were admitted for impaired consciousness (71%), sepsis (64%), shock (44%), respiratory failure (37%). At admission, median SOFA and MELD scores were 10 [7–13] and 31 [26–40] respectively. 63% of patients received invasive mechanical ventilation, 62% vasopressors, and 36% renal replacement therapy. 66% of patients received corticosteroids, and liver transplantation was performed in 16 patients (8.5%). ICU and in-hospital mortality were 37% and 53% respectively. By multivariate analysis, ICU mortality was associated with SOFA score (without total bilirubin) (SHR 1.08 [1.02–1.14] per one-point increase), arterial lactate (SHR 1.08 [1.03–1.13] per 1 mmol/L) and MELD score (SHR 1.09 [1.04–1.14] per 1 point), while employment was associated with increased survival (HR 0.49 [0.28–0.86]). After propensity score weighting, the use of corticosteroids did not affect ICU mortality in the overall population but had a beneficial effect in the subgroup of patients with histological proof. Patient prognosis was also better in responders assessed by Lille score at day 7 (OR 6.67 [2.44–20.15], p  0.001). Conclusion Alcohol related hepatitis is a severe condition leading to high mortality in ICU patients. Severity of organ failure
2025-04-15
Annals of Intensive Care (publié)
doi.org
Assessing Critical Thinking Skills in Data Literacy: A Digital Performance Assessment
Ying Cui
Xiaoxiao Liu
Fu Chen
Alina Lutsyk
Jaqueline P. Leighton
Maria Cutumisu
2025-04-15
Zeitschrift für Pädagogik (publié)
doi.org
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
Arjun Subramonian
Elvis Dohmatob
2025-04-14
ArXiv (prépublication)
arxiv.org
arxiv.org
IL1RAP is an immunotherapeutic target for normal karyotype triple-mutated acute myeloid leukemia
Arnaud Metois
Marie-Eve Bordeleau
Louis Theret
Azadeh Hajmirza
Ossama Moujaber
Jean-Francois Spinella
Jalila Chagraoui
Nadine Mayotte
Isabel Boivin
Éric Audemard
Léo Aubert
Véronique Lisi
Banafsheh Khakipoor
Azer Farah
Eric Bonneil
Alma Robert
Julie Lippens
Anna Moraitis
Francois Béliveau
Albert Feghaly … (voir 10 de plus)
Geneviève Boucher
Richard Marcotte
Patrick Gendron
Pierre Thibault
Sébastien Lemieux
Guillaume Richard-Carpentier
Vincent-Philippe Lavallee
Josée Hébert
Philippe Roux
Guy Sauvageau
2025-04-14
Biomarker Research (publié)
doi.org
Logging requirement for continuous auditing of responsible machine learning-based applications
Patrick Loic Foalem
Leuson Da Silva
Foutse Khomh
Heng Li
Ettore Merlo
2025-04-14
Empirical Software Engineering (publié)
doi.org
Open Problems in Technical AI Governance
Anka Reuel
Benjamin Bucknall
Stephen Casper
Timothy Fist
Lisa Soder
Onni Aarne
Lewis Hammond
Lujain Ibrahim
Alan Chan
Peter Wills
Markus Anderljung
Ben Garfinkel
Lennart Heim
Andrew Trask
Gabriel Mukobi
Rylan Schaeffer
Mauricio Baker
Sara Hooker
Irene Solaiman
Sasha Luccioni … (voir 14 de plus)
Alexandra Luccioni
Nitarshan Rajkumar
Nicolas Moës
Jeffrey Ladish
David Bau
Paul Bricman
Neel Guha
Jessica Newman
Yoshua Bengio
Tobin South
Alex Pentland
Sanmi Koyejo
Mykel Kochenderfer
Robert Trager
AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the… (voir plus) barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysis and tools for supporting the effective governance of AI, seeks to address such challenges. It can help to (a) identify areas where intervention is needed, (b) identify and assess the efficacy of potential governance actions, and (c) enhance governance options by designing mechanisms for enforcement, incentivization, or compliance. In this paper, we explain what technical AI governance is, why it is important, and present a taxonomy and incomplete catalog of its open problems. This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
2025-04-14
TMLR (accepté)
doi.org
openreview.net
Predicting College Enrollment for Low-Socioeconomic-Status Students Using Machine Learning Approaches
Surina He
Mehrdad Yousefpoori-Naeim
Ying Cui
Maria Cutumisu
2025-04-12
Big Data and Cognitive Computing (publié)
doi.org