fMRI Artefact Rejection and Sleep Scoring Toolbox. - Yves Leclercq; Jessica Schrouff; Quentin Noirhomme; Pierre Maquet; Christophe Phillips (Comput. Intell. Neurosci., 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)

Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation. - Jessica Schrouff; Caroline Kussé; Louis Wehenkel; Pierre Maquet; Christophe Phillips (PRNI, 2012)

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 (PRNI, 2013)

PRoNTo: Pattern Recognition for Neuroimaging Toolbox. - Jessica Schrouff; Maria João Duarte Rosa; Jane M. Rondina; Andre F. Marquand; Carlton Chu; John Ashburner; Christophe Phillips; Jonas Richiardi; Janaina Mourão Miranda (Neuroinformatics, 2013)

Pattern Recognition in NeuroImaging: What can machine learning classifiers bring to the analysis of functional brain imaging? - Jessica Schrouff (2013)

Decoding memory processing from electro-corticography in human posteromedial cortex. - Jessica Schrouff; Brett L. Foster; V. Rangarajan; Christophe Phillips; Janaina Mourão Miranda; Josef Parvizi (PRNI, 2014)

Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions. - Jessica Schrouff; Christophe Phillips; Josef Parvizi; Janaina Mourão Miranda (PRNI, 2015)

Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense? - Jessica Schrouff; Janaina Mourão Miranda (PRNI, 2018)

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models. - Jessica Schrouff; João M. Monteiro; Liana Catarina Lima Portugal; Maria João Duarte Rosa; Christophe Phillips; Janaina Mourão Miranda (Neuroinformatics, 2018)

Inferring Javascript types using Graph Neural Networks. - Jessica Schrouff; Kai Wohlfahrt; Bruno Marnette; Liam Atkinson (CoRR, 2019)

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. - Jessica Schrouff; Awa Dieng; Miriam Rateike; Kweku Kwegyir-Aggrey; Golnoosh Farnadi (AFCR, 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 (CHIL, 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)

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; et al. (J. Am. Medical Informatics Assoc., 2021)

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. - Awa Dieng; Miriam Rateike; Golnoosh Farnadi; Ferdinando Fioretto; Matt J. Kusner; Jessica Schrouff (AFCP, 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 (CHIL, 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 (FAccT, 2022)

A Reduction to Binary Approach for Debiasing Multiclass Datasets. - Ibrahim M. Alabdulmohsin; Jessica Schrouff; Sanmi Koyejo (NeurIPS, 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; et al. (NeurIPS, 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; et al. (CoRR, 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)

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; et al. (J. Mach. Learn. Res., 2022)

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 (AISTATS, 2023)

Evaluating Model Bias Requires Characterizing its Mistakes. - Isabela Albuquerque; Jessica Schrouff; David Warde-Farley; Ali Taylan Cemgil; Sven Gowal; Olivia Wiles (ICML, 2024)

Mind the Graph When Balancing Data for Fairness or Robustness. - Jessica Schrouff; Alexis Bellot; Amal Rannen-Triki; Alan Malek; Isabela Albuquerque; Arthur Gretton; Alexander D'Amour; Silvia Chiappa (NeurIPS, 2024)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. - Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco J. R. Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa (CoRR, 2024)

Enduring Disparities in the Workplace: A Pilot Study in the AI Community. - Yunusa Simpa Abdulsalam; Siobhan Mackenzie Hall; Ana María Quintero-Ossa; William Agnew; Carla Muntean; Sarah Tan; Ashley Heady; Savannah Thais; Jessica Schrouff (CoRR, 2025)