Mathématiques et Informatique Appliquées - Paris-Saclay (MIA)

Présentation du laboratoire

Le laboratoire Mathématiques et Informatique Appliquées est une unité dont les recherches portent sur la modélisation et l'apprentissage statistique et informatique. Les trois équipes, Statistique et génome, MORSE et LInK, possèdent des compétences en méthodes d'inférences statistiques et en algorithmiques, qu'elles appliquent aux domaines de la biologie, l'écologie, l'environnement, l'agronomie et l'agro-alimentaire.

Les 20 dernières publications

Titre Auteurs Date de publication Source
Handling ecosystem service trade-offs: the importance of the spatial scale at which no-loss constraints are posed Francesco Accatino 01/05/2023 Landscape Ecology
A primer on predictive techniques for food and bioresources transformation processes Alberto Tonda 01/05/2023 Journal of Food Process Engineering
Adjusting the adjusted Rand Index: A multinomial story Guillem Rigaill 01/03/2023 Computational Statistics
Assessment of non-neonicotinoid treatments against aphids on sugar beets Armand Favrot, David Makowski 01/02/2023 Crop Protection
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning Alberto Tonda 01/01/2023 Lecture Notes in Computer Science
Learning CHARME models with neural networks José G. Gómez-García 01/01/2023 Statistical Papers
Mixture-based estimation of entropy Stéphane Robin 01/01/2023 Computational Statistics and Data Analysis
Sensitivity analysis of a crop metapopulation model Baptiste Rouger, Isabelle Goldringer, Anne Miramon, Abdel Kader Naino Jika 01/01/2023 Ecological Modelling
A new method to extract n-Ary relation instances from scientific documents Juliette Dibie 15/12/2022 Expert Systems with Applications
Machine learning for temperature prediction in food pallet along a cold chain: Comparison between synthetic and experimental training dataset Julie Loisel, Antoine Cornuéjols 01/12/2022 Journal of Food Engineering
A spectral approach to estimate the autocovariance function C. Lévy-Leduc 01/12/2022 Journal of Statistical Planning and Inference
Atmospheric dryness reduces photosynthesis along a large range of soil water deficits David Makowski 01/12/2022 Nature Communications
A global dataset for the projected impacts of climate change on four major crops David Makowski 01/12/2022 Scientific data
A global dataset to parametrize critical nitrogen dilution curves for major crop species David Makowski 01/12/2022 Scientific data
Meteorological and climatic variables predict the phenology of Ixodes ricinus nymph activity in France, accounting for habitat heterogeneity Séverine Bord 01/12/2022 Scientific Reports
Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews David Makowski 01/12/2022 Environmental Evidence
Critical soil moisture thresholds of plant water stress in terrestrial ecosystems David Makowski 04/11/2022 Science advances
Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information Pierre Barbillon 01/11/2022 International Journal of Applied Earth Observation and Geoinformation
Warming reduces global agricultural production by decreasing cropping frequency and yields David Makowski 01/11/2022 Nature Climate Change
Error rate control for classification rules in multiclass mixture models Tristan Mary-Huard, Marie Laure Martin-Magniette 01/11/2022 International Journal of Biostatistics

Nombre de publications du laboratoire par domaine scientifique (2016-2021)

Chaque publication du laboratoire peut être rangée dans une ou plusieurs disciplines scientifiques : la figure ci-dessus présente le nombre de publications du laboratoire pour chaque discipline de la classification ASJC (Elsevier)