Jessica Schrouff

According to our database, Jessica Schrouff authored at least 24 papers between 2011 and 2023.

Collaborative distances:

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

2023

Adapting to Latent Subgroup Shifts via Concepts and Proxies.

Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

J. Mach. Learn. Res., 2022

Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT).

Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff

CoRR, 2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?

Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

CoRR, 2022

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.

Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Reduction to Binary Approach for Debiasing Multiclass Datasets.

Ibrahim M. Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Healthsheet: Development of a Transparency Artifact for Health Datasets.

Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disability prediction in multiple sclerosis using performance outcome measures and demographic data.

Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller

Proceedings of the Conference on Health, Inference, and Learning, 2022

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.

Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing.

Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne

J. Am. Medical Informatics Assoc., 2021

Best of both worlds: local and global explanations with human-understandable concepts.

Jessica Schrouff, Sebastien Baur, Shaobo Hou, Diana Mincu, Eric Loreaux, Ralph Blanes, James Wexler, Alan Karthikesalingam, Been Kim

CoRR, 2021

Concept-based model explanations for electronic health records.

Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021.

Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2019

Inferring Javascript types using Graph Neural Networks.

Jessica Schrouff, Kai Wohlfahrt, Bruno Marnette, Liam Atkinson

CoRR, 2019

2018

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.

Jessica Schrouff, João M. Monteiro, Liana Catarina Lima Portugal, Maria J. Rosa, Christophe Phillips, Janaina Mourão Miranda

Neuroinformatics, 2018

Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?

Jessica Schrouff, Janaina Mourão Miranda

Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2015

Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions.

Jessica Schrouff, Christophe Phillips, Josef Parvizi, Janaina Mourão Miranda

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

Decoding memory processing from electro-corticography in human posteromedial cortex.

Jessica Schrouff, Brett L. Foster, V. Rangarajan, Christophe Phillips, Janaina Mourão Miranda, Josef Parvizi

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013

Pattern Recognition in NeuroImaging: What can machine learning classifiers bring to the analysis of functional brain imaging?

Jessica Schrouff

PhD thesis, 2013

PRoNTo: Pattern Recognition for Neuroimaging Toolbox.

Jessica Schrouff, Maria J. Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda

Neuroinformatics, 2013

Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models.

Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012

Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation.

Jessica Schrouff, Caroline Kussé, Louis Wehenkel, Pierre Maquet, Christophe Phillips

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011

Brain functional integration decreases during propofol-induced loss of consciousness.

Jessica Schrouff, Vincent Perlbarg, Mélanie Boly, Guillaume Marrelec, Pierre Boveroux, Audrey Vanhaudenhuyse, Marie-Aurélie Bruno, Steven Laureys, Christophe Phillips, Mélanie Pélégrini-Issac, Pierre Maquet, Habib Benali

NeuroImage, 2011

fMRI Artefact Rejection and Sleep Scoring Toolbox.

Yves Leclercq, Jessica Schrouff, Quentin Noirhomme, Pierre Maquet, Christophe Phillips

Comput. Intell. Neurosci., 2011