BARBOSA , Susana

In this paper, we present the optimization procedure for computing the discrete boxconstrained minimax classifier introduced in [1, 2]. Our approach processes discrete or beforehand discretized features. A box-constrained region defines some bounds for each class proportion independently. The box-constrained minimax classifier is obtained from...

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This article focuses on approximating an interpretable neural network with kernel logistic regression. We introduce a new kernel that directly stems from the architecture of the neural network. The decision rule resulting from a logistic regression applied to this kernel is modeled as an additive decomposition of univariate functions and is...

This paper aims to build a supervised classifier for dealing with imbalanced datasets, uncertain class proportions, dependencies between features, the presence of both numeric and categorical features, and arbitrary loss functions. The Bayes classifier suffers when prior probability shifts occur between the training and testing sets. A solution...

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This paper proposes an understandable neural network whose score function is modeled as an additive sum of univariate spline functions. It extends usual understandable models like generative additive models, spline-based models, and neural additive models. An approximation of this neural network by a kernel logistic regression provides...

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This paper proposes a non-linear binary classification model. Although linear classification methods are very popular in the field of personalized medicine because of their interpretability, they have proven to be too restrictive. Doctors are convinced of the need to quantify threshold effects for better predictions. Nevertheless, non-linear...

This paper proposes an understandable neural network whose score function is modeled as an additive sum of univariate spline functions. It extends usual understandable models like generative additive models, spline-based models, and neural additive models. It is shown that this neural network can be approximated by a logistic regression whose...

Workshop on Artificial Intelligence organized by University Côte d'Azur

Cet article s'intéresse à la classification binaire à l'aide d'une régression logistique non-linéaire. Les modèles linéaires, simples et interprétables, sont très appréciés dans le domaine médical mais leurs performances restent très limitées lorsque les données sont complexes. Nous proposons de remplacer la fonction linéaire de la régression...

ReLU neural networks suffer from a problem of explainability because they partition the input space into a lot of polyhedrons. This paper proposes a constrained neural network model that replaces polyhedrons by orthotopes: each hidden neuron processes only a single component of the input signal. When the number of hidden neurons is large, we...

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Ce papier propose une nouvelle approche ajustant les réseaux de neurones convolutifs appliqués sur des jeux de données déséquilibrés dont les proportions par classes sont incertaines. La règle de décision constitutant la sortie du réseau de neurones est remplacée par le classifieur Minimax dont la particularité est de chercher à égaliser les...

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Maternal immune activation (MIA) during pregnancy induces a cytokine storm that alters neurodevelopment and behavior in the progeny. In humans, MIA increases the odds of developing neuropsychiatric disorders such as autism spectrum disorder (ASD). In mice, MIA can be induced by injecting the viral mimic polyinosinic:polycytidylic acid...

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Inflammation appears as a cardinal mediator of the deleterious effect of early life stress exposure on neurodevelopment. More generally, immune activation during the perinatal period, and most importantly elevations of pro-inflammatory cytokines levels could contribute to psychopathology and neurological deficits later in life. Cytokines are...

Nearly 10% of 5-year-old children experience social, emotional or behavioral problems and are at increased risk of developing mental disorders later in life. While animal and human studies have demonstrated that cytokines can regulate brain functions, it is unclear whether individual cytokines are associated with specific behavioral dimensions...

Disruption of neurodevelopmental trajectories can alter brain circuitry and increase the risk of psychopathology later in life. While preclinical studies have demonstrated that the immune system and cytokines influence neu-rodevelopment, whether immune activity and in particular which cytokines at birth are associated with psy-chopathology...