Alexandre Abraham

21 papers A 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes.
CoRR
Alexandre Abraham, Andrés Hoyos Idrobo
2023 J jnl
OpenAL: Evaluation and Interpretation of Active Learning Strategies.
CoRR
William Jonas, Alexandre Abraham, Léo Dreyfus-Schmidt
2022 J jnl
Cardinal, a metric-based Active learning framework.
Softw. Impacts
Alexandre Abraham, Léo Dreyfus-Schmidt
2022 J jnl
Towards Clear Expectations for Uncertainty Estimation.
CoRR
Victor Bouvier, Simona Maggio, Alexandre Abraham, Léo Dreyfus-Schmidt
2021 J jnl
Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline.
CoRR
Méabh MacMahon, Woochang Hwang, Soorin Yim, Eoghan MacMahon, Alexandre Abraham, Justin Barton, Mukunthan Tharmakulasingam, Paul Bilokon, Vasanthi Priyadarshini Gaddi, Namshik Han
2021 — conf
Sample Noise Impact on Active Learning.
IAL@PKDD/ECML
Alexandre Abraham, Léo Dreyfus-Schmidt
2021 J jnl
Sample Noise Impact on Active Learning.
CoRR
Alexandre Abraham, Léo Dreyfus-Schmidt
2020 — conf
Rebuilding Trust in Active Learning with Actionable Metrics.
ICDM (Workshops)
Alexandre Abraham, Léo Dreyfus-Schmidt
2020 J jnl
Rebuilding Trust in Active Learning with Actionable Metrics.
CoRR
Alexandre Abraham, Léo Dreyfus-Schmidt
2019 J jnl
Benchmarking functional connectome-based predictive models for resting-state fMRI.
NeuroImage
Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael P. Milham, Bertrand Thirion, Gaël Varoquaux
2018 A conf
Offline A/B Testing for Recommender Systems.
WSDM
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé
2018 J jnl
Offline A/B testing for Recommender Systems.
CoRR
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé
2017 J jnl
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.
NeuroImage
Alexandre Abraham, Michael P. Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gaël Varoquaux
2017 J jnl
Predicting brain-age from multimodal imaging data captures cognitive impairment.
NeuroImage
Franziskus Liem, Gaël Varoquaux, Jana Kynast, Frauke Beyer, Shahrzad Kharabian Masouleh, Julia M. Huntenburg, Leonie Lampe, Mehdi Rahim, Alexandre Abraham, R. Cameron Craddock, Steffi Riedel-Heller, Tobias Luck, Markus Loeffler, Matthias L. Schroeter, Anja Veronica Witte, Arno Villringer, Daniel S. Margulies
2016 — conf
Comparing functional connectivity based predictive models across datasets.
PRNI
Kamalaker Dadi, Alexandre Abraham, Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux
2015 — conf
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.
MICCAI (1)
Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux
2015 — —
Learning functional brain atlases modeling inter-subject variability. (Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle).
Alexandre Abraham
2014 J jnl
Machine Learning for Neuroimaging with Scikit-Learn.
CoRR
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
2014 J jnl
Machine learning for neuroimaging with scikit-learn.
Frontiers Neuroinformatics
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
2014 J jnl
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI.
CoRR
Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux
2013 — conf
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.
MICCAI (2)
Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux