Marta Avalos

Orcid: 0000-0002-5471-2615

According to our database1, Marta Avalos authored at least 19 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023
Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022
Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
A decision-making tool to fine-tune abnormal levels in the complete blood count tests.
CoRR, 2020

Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020

Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training.
CoRR, 2019

2018
Representation Learning of Compositional Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MAVIE-Lab Sports: A mHealth for Injury Prevention and Risk Management in Sport.
Proceedings of the 2018 International Conference on Digital Health, 2018

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

2015
Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm.
BMC Bioinform., 2015

2013
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.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2007
Parsimonious additive models.
Comput. Stat. Data Anal., 2007

2005
Discrimination par modèles additifs parcimonieux.
Rev. d'Intelligence Artif., 2005

2004
Modèles additifs parcimonieux. (Parsimonious additive models).
PhD thesis, 2004

2003
From Deterministic to Constructivist Paradigm: An Overview of the F.S.F. Research Program.
Int. J. Comput. Sci. Sport, 2003

Regularization Methods for Additive Models.
Proceedings of the Advances in Intelligent Data Analysis V, 2003


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