Marta Avalos
Publications
Publications
Machine Learning for Compositional Microbiome Data to Predict a Clinical Outcome: Are Interpretable Methods Up to the Task?ICPRS 2025 - IEEE 15th International Conference on Pattern Recognition Systems, IAPR and the IEEE Chile Section, University Adolfo Ibáñez (Viña del Mar, Chile) and the Chilean Association for Pattern Recognition, Dec 2025, Viña del Mar, Chile. ⟨10.1109/ICPRS66293.2025.11302842⟩ |
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Données médicales synthétiques : État de l'art et enjeux de la génération automatique de données tabulaires et textuellesDataquitaine 2025, Mar 2025, Talence, France |
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Can mortality prediction be enhanced integrating patient clinical and medical imaging data?CEB 2025 - XX Conferencia Española de Bioestadística, Sociedad Española de Bioestadística (SEB), Sep 2025, Elche, Spain |
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Mixed effects models for longitudinal compositional data using the SAEM algorithm: Application to identifying respiratory microbiome-based predictiveISI 2025 - 65th ISI World Statistics Congress, International Statistical Institute, Oct 2025, Hague, Netherlands |
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Predicting Response to Cystic Fibrosis Modulators from Compositional Microbiome Data: A Comparison of Adapted Machine Learning ApproachesCIBB 2025 - 20th conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Data Science for Bioinformatics Lab, Politecnico de Milano, Italy, Sep 2025, Milan, Italy |
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Indoor Microbiome in Asthma: A Differential Abundance Framework Accounting for Zero-Inflation, Compositionality, Spatial Clustering, and Covariate AdjustmentCIBB 2025 - 20th conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Data Science for Bioinformatics Lab, Politecnico de Milano, Italy, Sep 2025, Milan, Italy |
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Synthetic medical data generation: state of the art and application to trauma mechanism classificationCIBB 2025 - International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Data Science for Bioinformatics Lab - Department of Electronics, Information and Bioengineering Politecnico di Milano, Sep 2025, Milan, Italy |
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Génération de données de santé synthétiques : état de l'art en vue de la classification des mécanismes des traumatismesRJCIA 2025 - Rencontres des Jeunes Chercheurs en Intelligence Artificielle - Plate-Forme Intelligence Artificielle (PFIA), AFIA - LIB - Université Bourgogne Europe, Jun 2025, Dijon, France |
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Balancing Predictive Performance and Explainability for Integrating Clinical, Biological, and Radiological Data in the Basque Country COVID-19 CohortISI 2025 - 65th ISI World Statistics Congress, International Statistical Institute, Oct 2025, Hague, Netherlands |
Transmettre l'art de faire équipe à nos étudiants en Santé Publique : Retour d'expérience sur l'alignement pédagogiqueETES 2024 - Enseigner les Transitions Écologiques et Sociales dans le Supérieur, 1point5, Jul 2024, Pessac, France |
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Challenges of Microbiome Data Analysis in Chronic Respiratory Disease Studies: Examples from Three French StudiesICSDS 2024 - International Conference on Statistics and Data Science, Institute of Mathematical Statistics (IMS), Dec 2024, Nice, France |
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A Biostatistician in the Era of a Paradigm Shift Towards Data Science in Epidemiology1st SMILE Workshop on Statistical Modeling, Nonparametric Inference, and Model Selection for Complex Data, Lisandro Fermin; Cristian Meza, Aug 2024, Valparaiso, Chile |
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Réflexions pour la conception d'un protocole expérimental de détection des biais dans le triage d'urgence hospitalière à l'aide de modèles de langageEvalLLM2024 - Atelier sur l'évaluation des modèles génératifs (LLM) et challence d'extraction d'information few-shot, AMIAD, Jul 2024, Toulouse, France |
Optimisation des services des urgences hospitalières à l'aide de l'IA : une opportunité incontournable et un risque de systématisation des disparités de santéDataquitaine 2024, Mar 2024, Talence (33), France |
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Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental PlanFLAIRS 2024 - 37th International Florida Artificial Intelligence Research Society Conference, The Florida Artificial Intelligence Research Society, May 2024, Miramar Beach, United States. pp.6 |
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Interdisciplinary and differentiated learning of Statistics in an online MPHIASE 2023 - The 13th IASE Satellite Conference, The International Association for Statistical Education (IASE) and the International Association for Statistical Computing (IASC), Jul 2023, Toronto, Canada |
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Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and PerspectivesFLAIRS 36 - 36th International Florida Artificial Intelligence Research Society Conference, The Florida Artificial Intelligence Research Society, May 2023, Clearwater Beach, FL., United States. pp.3, ⟨10.32473/flairs.36.133276⟩ |
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Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reportsFLAIRS-35 - 35th International Florida Artificial Intelligence Research Society Conference, May 2022, Hutchinson, Florida, United States. ⟨10.32473/flairs.v35i.130712⟩ |
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Les données du SAMU comme moyen de surveillance de la santé de la populationDataquitaine 2022 - 5e Journée Dataquitaine, Feb 2022, Talence / Virtuel, France |
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Organisational learning strategies of introductory statistics courses in an online MPH: slow and steady wins the raceICOTS 2022 - 11th International Conference on Teaching Statistics, IASE (International Association for Statistical Education) and ISI (International Statistical Institute), Sep 2022, Rosario, Argentina |
Una herramienta de toma de decisiones para ajustar los niveles anormales en las pruebas de conteo sanguíneo completoWorkshop en REDES Biomatemáticas, Oct 2021, Valparaiso/Virtual, Chile |
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Performance en classification de données textuelles des passages aux urgences des modèles BERT pour le françaisPFIA 2021 - Journée Santé et I.A., Journée organisée avec le soutien de l’Association française d’Informatique Médicale (AIM) et le Collège Science de l’Ingénierie des Connaissances de l’AFIA dans le cadre de la Plate-Forme Intelligence Artificielle (PFIA), Jun 2021, Bordeaux / Virtual, France |
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Traitement automatique des résumés de passages aux urgences : focus sur la désidentificationPFIA 2021 - Santé et I.A., Journée organisée avec le soutien de l’Association française d’Informatique Médicale (AIM) et le Collège Science de l’Ingénierie des Connaissances de l’AFIA dans le cadre de la Plate-Forme Intelligence Artificielle (PFIA), Jun 2021, Bordeaux / Virtual, France |
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A decision-making tool to fine-tune abnormal levels in the complete blood count testsML4H - Machine Learning for Health workshop at NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada |
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Classification automatique du langage de données du service hospitalier des urgences3e Journée Dataquitaine : IA, RO et Data Science, Feb 2020, Talence, France |
Optimising criteria for manual smear review following automated blood count analysis: A machine learning approachWICT 2020 - 10th World Congress on Information and Communication Technologies, Dec 2020, Virtual, United Kingdom |
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Usefulness of Bayesian modeling in risk analysis and prevention of Home Leisure and Sport Injuries (HLIs)III Jornadas Científicas de Estudiantes de la Sociedad Española de Biometría, Jan 2018, Bilbao, Spain |
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MAVIE-Lab Sports: a mHealth for Injury Prevention and Risk Management in SportDIGITAL HEALTH 2018 - 8th International Digital Health Conference, Apr 2018, Lyon, France |
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Representation Learning of Compositional DataNIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada |
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Mavie-lab sports: a mhealth for injury prevention and risk management in sportThe 13th World Conference on Injury Prevention and Safety Promotion (Safety 2018), Nov 2018, Bangkok, Thailand |
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High-dimensional compositional microbiota data: state-of-the-art of methods and software implementations2017 - GDR « Statistiques et santé », Oct 2017, Bordeaux, France |
Adjustment for Unobserved Confounders in Health Administrative Databases32nd International Conference on Pharmacoepidemiology & Therapeutic Risk Management, INTERNATIONAL SOCIETY FOR PHARMACOEPIDEMIOLOGY (ISPE), Aug 2016, Dublin, Ireland |
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Clustering of temporal sport training curves: a comparison of FDA and LDA approaches23rd Australian Statistical Conference , Dec 2016, Canberra, Australia |
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Exploring variable selection in additive mixed effects models using group lasso23rd Australian Statistical Conference, Statistical Society of Australia (SSA), Dec 2016, Canberra, Australia |
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Lasso-type estimators for non-parametric mixed-effects models: application to high-dimensional data from a vaccine clinical trial for HIV3rd conference of the International Society for Non-Parametric Statistics (ISNPS), Jun 2016, Avignon, France |
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Estimateur de type Lasso pour modèle mixte non-paramétrique48èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2016, Montpellier, France |
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Evolution of Teaching Strategies in a French ODL University Course9th Australian Conference on Teaching Statistics (OZCOTS), The International Association for Statistical Education (IASE), Dec 2016, Canberra, Australia. pp.183 |
A comparison of unsupervised curve classification methods for sport training data3rd conference of the International Society for Non-Parametric Statistics (ISNPS), The International Society for NonParametric Statistics (ISNPS), Jun 2016, Avignon, France |
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Impact of unmeasured covariates on bias and statistical power in health administrative databases: a simulation studyXVth Spanish Biometric Conference and the Vth Ibéro-American Biometric Meeting 2015, 2015, Bilbao, Spain |
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Lasso pour données censurées à gauche : une comparaison par simulation d’algorithmes proposés dans la littérature47èmes Journées de la Statistique, SFdS, 2015, Lille, France |
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Function selection in mixed models using L1-penalizationXVth Spanish Biometric Conference and the Vth Ibéro-American Biometric Meeting 2015, 2015, Bilbao, Spain |
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Evolution des stratégies pédagogiques d'un DUColloque Francophone International sur l'Enseignement de la Statistique – CFIES'2015, Jan 2015, Bordeaux, France |
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Données longitudinales en grande dimension : état des lieux des packages RTroisièmes rencontres R, Jun 2014, Montpellier, France |
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Etude de l’association entre consommation médicamenteuse et risque d’accident de la route : exploration par simulation de schémas d’études épidémiologiques applicables à partir des données médico-administrativesJournée Nationale Biopharmacie et Santé 2014, Nov 2014, Paris, France |
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Ventilatory, metabolic and kinematic responses in sprint versus distance swimmersXIIth International Symposium on Biomechanics and Medicine in Swimming, Apr 2014, Canberra, Australia |
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Prise en compte de la censure à gauche dans la modélisation de données de grande dimension46e Journées de Statistique, Jun 2014, Rennes, France |
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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 StudiesCIBB 2013 - 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Jun 2013, Nice, France. pp.109-124 |
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Méthodes d’apprentissage statistique pour des données longitudinales : une revue systématiqueGdR Statistique et Santé, Oct 2014, Toulouse, France |
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Comparing methods for summarizing a training load in prediction models of swimming performanceXIIth International Symposium on Biomechanics and Medicine in Swimming, Apr 2014, Canberra, Australia |
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Analysis of a large registry-based study of prescription drugs and road traffic crashesROeS 2013 - Seminar of the Austro-Swiss Region of the International Biometric Society, 2013, Dornbirn, Austria |
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clogitLasso: an R package for high–dimensional analysis of matched case–control and case–crossover dataCIBB & PRIB 2013, 2013, Nice, France |
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clogitLasso: an R package for L1 penalized estimation of conditional logistic regression models1ères Rencontres R, Jul 2012, Bordeaux, France |
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Assessing precision of lasso conditional logistic estimates in the case-crossover design3rd International Biometric Society channel network conference, Apr 2011, Bordeaux, France. pp.Abstracts of Oral contributed sessions. Page 2 |
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Modélisation des relations entre les charges d'entraînement et les pathologies infectieuses chez 28 nageurs élites durant 3 saisons4ème Symposium de l'Irmes, Biarritz, 28 oct 2009, Oct 2009, Biarritz, France. pp.2 |
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Sélection de variables avec lasso dans la régression logistique conditionnelle41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
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Modélisation des relations entre la variabilité de la fréquence cardiaque et les pathologies infectieuses chez 18 nageurs élites durant 3 saisons. Effets de la saison et du niveau de performance4ème Symposium de l'Irmes, Biarritz, 28 oct 2009, Oct 2009, Biarritz, France. pp.1 |
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Model selection via the lasso in conditional logistic regressionSecond International Biometric Society Channel Network Conference, Apr 2009, Ghent, Belgium. pp.Model selection and clustering session |
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Parsimonious additive logistic modelsFirst Workshop of the ERCIM Working Group on Computing & Statistics, Jun 2008, Neuchâtel, Switzerland. page 56 |
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Pénalisation l1 pour les MAG2005, pp.25.1 |
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Model selection via penalization in the additive Cox modelThe 3rd world conference on Computational Statistics & Data Analysis, 2005, Limassol, Cyprus. pp.45 |
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Généralisation du lasso aux modèles additifs2004, pp.83 |
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Penalized additive logistic regression for cardiovascular risk prediction2004, pp.301 |
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Regularization methods for additive models2003, pp.509-520 |
Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators46th Annual Conference of the International Society for Clinical Biostatistics, Aug 2025, Basel, Switzerland |
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Predicting Non-Response to Cystic Fibrosis Modulators from Microbiota Using Standard and Custom Machine LearningJOBIM 2025 - Journées Ouvertes Biologie Informatique Mathématiques, Jul 2025, Bordeaux, France |
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Serious Games to Address Cognitive Bias and Patient Flow in Emergency DepartmentsThe 5th ENLIGHT Teaching & Learning Conference 2025 - Playfulness for the Future of Higher Education, Oct 2025, Uppsala, Sweden |
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Exploring Interaction Networks of Indoor Environmental Microbiome and Mycobiome in Asthmatic and Healthy Subjects: Insights from the COBRA-ENV 2 StudyIUMS 2024 - International Union of Microbiological Societies, Oct 2024, Firenze, Italy |
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AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health DisparitiesDoug Talbert; Soon Ae Chun. FLAIRS-37 2024 - 37th International FLAIRS Conference, May 2024, Miramar Beach, United States. LibraryPress@UF; FLVC Library Services, Proceedings of FLAIRS-37, May 19-21, Sandestin Beach, FL, 37, pp.4, 2024, ⟨10.32473/flairs.37⟩ |
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The Teamwork Art in Public Health: a Qualitative Study.The 4th ENLIGHT Teaching and Learning Conference at TARTU 2024, Oct 2024, Tartu, Estonia |
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Uncovering Judgment Biases in Emergency Triage: A Public Health Approach Based on Large Language ModelsML4H 2024 - Machine Learning for Health Symposium, Dec 2024, Vancoucer, Canada. |
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Utility of multivariate data analysis and penalized meta-regression to explore sources of heterogeneity in microbiome meta-analysesWoM 2023 - 4th International World of Microbiome Conference, Oct 2023, Sofia, Bulgaria |
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Association between indoor environmental microbiota of living spaces and chronic asthma and respiratory allergies in Europe: A systematic reviewWoM 2023 - 4th International World of Microbiome Conference, Oct 2023, Sofia, Bulgaria |
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The respiratory microbiome alpha-diversity and chronic respiratory diseases in children: A systematic reviewWoM 2023 - 4th International World of Microbiome Conference, Oct 2023, Sofia, Bulgaria |
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Developing Autonomy through an Entrepreneurial ProjectENLIGHT Teaching and Learning Conference 2023 -Empowering students for tomorrow, Oct 2023, Bordeaux, France |
The respiratory microbiota alpha-diversity in chronic lung diseases: a systematic review and meta-analysis32nd European Congress of Clinical Microbiology and Infectious Diseases (ECCMID), Apr 2022, Lisboa, Portugal. 2022 |
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A simulation framework of high-dimensional phylogenetic microbiota data29th International Biometric Conference, Jul 2018, Barcelone, Spain |
High-dimensional longitudinal genomic data: a survey and evaluation of publicly available implementations of machine learning methodsStatistical Analysis of Massive Genomic Data, Nov 2015, Evry, France. , 2015 |
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État de l’art des méthodes de pénalisation pour données répétées dans le tempsBordeaux Computational Biology and Bioinformatics, 2014, Bordeaux, France |
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État de l’art des méthodes de pénalisation pour données répétées dans le tempsJournées MAS de la SMAI, Aug 2014, Toulouse, France. |
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De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated SystemsPROCEEDINGS OF FLAIRS-34 / Special Track: AI in Healthcare Informatics, 34, LibraryPress@UF, 2021, 2334-0762. ⟨10.32473/flairs.v34i1.128480⟩ |
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Optimising criteria for manual smear review following automated blood count analysis: A machine learning approachAjith Abraham, Hideyasu Sasaki, Ricardo Rios, Niketa Gandhi, Umang Singh, Kun Ma. Advances in Intelligent Systems and Computing, 1372, Springer, 2021, 978-3-030-73603-3. ⟨10.1007/978-3-030-73603-3_35⟩ |
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Pre-Training a Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification ModelRoman Barták, Eric Bell. Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, The AAAI Press, 2020, 978-1-57735-821-3 |
Competition analysis in swimming: inter- and intra-individual variability of stroking parameters managementSport Science: Current and Future Trends for Performance Optimization, ESECS/IPLeiria, 2018, 978-989-8797-19-3 |
Protection of digital creations (APP): CBCTool - Package R CBCtool - version 0.0.0.9000, 31-12-2020France, Patent n° : IDDN.FR.001.480010.000.S.P.2021.000.31235. 2021 |
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A Counterfactual LLM Framework for Detecting Human Biases: A Case Study of Sex/Gender in Emergency Triage2025 |
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Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory2022 |
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Effects of home environmental, behavioural and domestic activities on the risk of home injuries in French adults: Results from a prospective study2022 |
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Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training2019 |
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Sélection de variables avec lasso dans la régression logistique conditionnelle2010 |
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Modèles additifs parcimonieuxAutre [cs.OH]. Université de Technologie de Compiègne, 2004. Français. ⟨NNT : ⟩ |
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Contribution à la sélection de modèle via pénalisation Lasso en ÉpidémiologieMachine Learning [stat.ML]. Université de Bordeaux, 2018 |