Regularization Methods for Additive Models. - Marta Avalos; Yves Grandvalet; Christophe Ambroise (IDA, 2003)

From Deterministic to Constructivist Paradigm: An Overview of the F.S.F. Research Program. - Philippe Hellard; Marta Avalos; André Menaut (Int. J. Comput. Sci. Sport, 2003)

Modèles additifs parcimonieux. (Parsimonious additive models). - Marta Avalos (2004)

Discrimination par modèles additifs parcimonieux. - Marta Avalos; Yves Grandvalet; Christophe Ambroise (Rev. d'Intelligence Artif., 2005)

Parsimonious additive models. - Marta Avalos; Yves Grandvalet; Christophe Ambroise (Comput. Stat. Data Anal., 2007)

High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies. - Marta Avalos; Yves Grandvalet; Hélène Pouyes; Ludivine Orriols; Emmanuel Lagarde (CIBB, 2013)

Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm. - Marta Avalos; Hélène Pouyes; Yves Grandvalet; Ludivine Orriols; Emmanuel Lagarde (BMC Bioinform., 2015)

Contribution à la sélection de modèle via pénalisation Lasso en Épidémiologie. (Contribution to model selection via Lasso penalization in Epidemiology). - Marta Avalos (2018)

MAVIE-Lab Sports: A mHealth for Injury Prevention and Risk Management in Sport. - Madelyn Yiseth Rojas Castro; Marina Travanca; Marta Avalos Fernandez; David Valentin Conesa; Ludivine Orriols; Emmanuel Lagarde (DH, 2018)

Representation Learning of Compositional Data. - Marta Avalos; Richard Nock; Cheng Soon Ong; Julien Rouar; Ke Sun 001 (NeurIPS, 2018)

Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. - Binbin Xu 002; Cédric Gil-Jardiné; Frantz Thiessard; Eric Tellier; Marta Avalos; Emmanuel Lagarde (CoRR, 2019)

Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model. - Binbin Xu 002; Cédric Gil-Jardiné; Frantz Thiessard; Eric Tellier; Marta Avalos Fernandez; Emmanuel Lagarde (FLAIRS, 2020)

Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach. - Marta Avalos; Hélène Touchais; Marcela Henríquez-Henríquez (IBICA, 2020)

A decision-making tool to fine-tune abnormal levels in the complete blood count tests. - Marta Avalos Fernandez; Hélène Touchais; Marcela Henríquez-Henríquez (CoRR, 2020)

De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems. - Loick Bourdois; Marta Avalos; Gabrielle Chenais; Frantz Thiessard; Philippe Revel; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2021)

Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data. - Alexandre Naprous; Marta Avalos Fernandez; Catherine Pradeau; Emmanuel Lagarde; Cédric Gil-Jardiné (FLAIRS, 2022)

Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals. - Charlotte Blot; Katia Weickert; Arthur Payros; Marta Avalos; Cédric Gil-Jardiné (FLAIRS, 2023)

Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan. - Marta Avalos; Dalia Cohen; Dylan Russon; Melissa Davids; Oceane Doremus; Gabrielle Chenais; Eric Tellier; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2024)

AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities - Human Bias in ED: Implications for AI-Driven Patient Flow Optimization. - Dylan Russon; Marta Avalos; Ariel Guerra-Adames; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2024)

Uncovering Judgment Biases in Emergency Triage: A Public Health Approach Based on Large Language Models. - Ariel Guerra-Adames; Marta Avalos Fernandez; Oceane Doremus; Cédric Gil-Jardiné; Emmanuel Lagarde (ML4H@NeurIPS, 2024)

Synthetic medical data generation: state of the art and application to trauma mechanism classification. - Oceane Doremus; Ariel Guerra-Adames; Marta Avalos Fernandez; Vianney Jouhet; Cédric Gil-Jardiné; Emmanuel Lagarde (CoRR, 2025)