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2020 – today
- 2024
[c11]Marta Avalos
, Dalia Cohen, Dylan Russon, Melissa Davids, Oceane Doremus, Gabrielle Chenais, Eric Tellier, Cédric Gil-Jardiné, Emmanuel Lagarde:
Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan. FLAIRS 2024- [c10]Dylan Russon, Marta Avalos, Ariel Guerra-Adames, Cédric Gil-Jardiné, Emmanuel Lagarde:
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. FLAIRS 2024 - 2023
- [c9]Charlotte Blot, Katia Weickert, Arthur Payros, Marta Avalos, Cédric Gil-Jardiné:
Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals. FLAIRS 2023 - 2022
- [c8]Alexandre Naprous, Marta Avalos Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cédric Gil-Jardiné:
Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data. FLAIRS 2022 - 2021
- [c7]Loick Bourdois, Marta Avalos, Gabrielle Chenais, Frantz Thiessard, Philippe Revel, Cédric Gil-Jardiné, Emmanuel Lagarde:
De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems. FLAIRS 2021 - 2020
- [c6]Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos Fernandez, Emmanuel Lagarde:
Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model. FLAIRS 2020: 264-269 - [c5]Marta Avalos, Hélène Touchais, Marcela Henríquez-Henríquez:
Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach. IBICA 2020: 380-391 - [i2]Marta Avalos Fernandez, Hélène Touchais, Marcela Henríquez-Henríquez:
A decision-making tool to fine-tune abnormal levels in the complete blood count tests. CoRR abs/2011.05900 (2020)
2010 – 2019
- 2019
- [i1]Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos, Emmanuel Lagarde:
Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. CoRR abs/1909.01136 (2019) - 2018
- [b2]Marta Avalos:
Contribution à la sélection de modèle via pénalisation Lasso en Épidémiologie. (Contribution to model selection via Lasso penalization in Epidemiology). University of Bordeaux, France, 2018 - [c4]Madelyn Yiseth Rojas Castro, Marina Travanca, Marta Avalos Fernandez, David Valentin Conesa, Ludivine Orriols, Emmanuel Lagarde:
MAVIE-Lab Sports: A mHealth for Injury Prevention and Risk Management in Sport. DH 2018: 158-159 - [c3]Marta Avalos, Richard Nock, Cheng Soon Ong, Julien Rouar, Ke Sun:
Representation Learning of Compositional Data. NeurIPS 2018: 6680-6690 - 2015
- [j4]Marta Avalos, Hélène Pouyes, Yves Grandvalet, Ludivine Orriols, Emmanuel Lagarde:
Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm. BMC Bioinform. 16(S-6): S1 (2015) - 2013
- [c2]Marta Avalos, Yves Grandvalet, Hélène Pouyes, Ludivine Orriols, Emmanuel Lagarde:
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. CIBB 2013: 109-124
2000 – 2009
- 2007
- [j3]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Parsimonious additive models. Comput. Stat. Data Anal. 51(6): 2851-2870 (2007) - 2005
- [j2]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Discrimination par modèles additifs parcimonieux. Rev. d'Intelligence Artif. 19(4-5): 661-682 (2005) - 2004
- [b1]Marta Avalos:
Modèles additifs parcimonieux. (Parsimonious additive models). University of Technology of Compiègne, France, 2004 - 2003
- [j1]Philippe Hellard, Marta Avalos, André Menaut:
From Deterministic to Constructivist Paradigm: An Overview of the F.S.F. Research Program. Int. J. Comput. Sci. Sport 2(2) (2003) - [c1]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Regularization Methods for Additive Models. IDA 2003: 509-520
Coauthor Index
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