Alexandre Abraham

According to our database, Alexandre Abraham authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

nilearn.

Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Christina Roßmanith, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Jordi Huguet, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Mia Zwally, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Nikhil Krish, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paul Reiners, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Suramya Pokharel, Sylvain Lan, Sylvain Takerkart, Tamer Gezici, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera

Dataset, January, 2024

Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes.

Alexandre Abraham, Andrés Hoyos Idrobo

CoRR, 2024

2023

nilearn.

Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera

Dataset, October, 2023

OpenAL: Evaluation and Interpretation of Active Learning Strategies.

William Jonas, Alexandre Abraham, Léo Dreyfus-Schmidt

CoRR, 2023

2022

Cardinal, a metric-based Active learning framework.

Alexandre Abraham, Léo Dreyfus-Schmidt

Softw. Impacts, 2022

Towards Clear Expectations for Uncertainty Estimation.

Victor Bouvier, Simona Maggio, Alexandre Abraham, Léo Dreyfus-Schmidt

CoRR, 2022

2021

Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline.

Méabh MacMahon, Woochang Hwang, Soorin Yim, Eoghan MacMahon, Alexandre Abraham, Justin Barton, Mukunthan Tharmakulasingam, Paul Bilokon, Vasanthi Priyadarshini Gaddi, Namshik Han

CoRR, 2021

Sample Noise Impact on Active Learning.

Alexandre Abraham, Léo Dreyfus-Schmidt

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

2020

Rebuilding Trust in Active Learning with Actionable Metrics.

Alexandre Abraham, Léo Dreyfus-Schmidt

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Benchmarking functional connectome-based predictive models for resting-state fMRI.

Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael P. Milham, Bertrand Thirion, Gaël Varoquaux

NeuroImage, 2019

2018

Offline A/B Testing for Recommender Systems.

Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Predicting brain-age from multimodal imaging data captures cognitive impairment.

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

NeuroImage, 2017

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.

Alexandre Abraham, Michael P. Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gaël Varoquaux

NeuroImage, 2017

2016

Comparing functional connectivity based predictive models across datasets.

Kamalaker Dadi, Alexandre Abraham, Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015

Learning functional brain atlases modeling inter-subject variability. (Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle).

Alexandre Abraham

PhD thesis, 2015

Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.

Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Machine learning for neuroimaging with scikit-learn.

Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux

Frontiers Neuroinformatics, 2014

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI.

Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux

CoRR, 2014

2013

Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.

Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013