Julien Jacques
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View article: Heterogeneous transfer learning for highly non-linear regression tasks with application to the hydrotreatment of tire pyrolysis feedstocks
Heterogeneous transfer learning for highly non-linear regression tasks with application to the hydrotreatment of tire pyrolysis feedstocks Open
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View article: Model-Based Clustering of Multivariate Rating Data Accounting for Feeling and Uncertainty
Model-Based Clustering of Multivariate Rating Data Accounting for Feeling and Uncertainty Open
Among the models for the analysis of rating data, the CUB (combination of discrete uniform and shifted binomial random variable) is notable because it assumes that the final rating given by a respondent is the result of the joint action of…
View article: MMM: Clustering Multivariate Longitudinal Mixed-type Data
MMM: Clustering Multivariate Longitudinal Mixed-type Data Open
Multivariate longitudinal data of mixed-type are increasingly collected in many science domains. However, algorithms to cluster this kind of data remain scarce, due to the challenge to simultaneously model the within- and between-time depe…
View article: Heterogeneous Transfer Learning for Chemical Process Optimization: A Kinetics Perspective
Heterogeneous Transfer Learning for Chemical Process Optimization: A Kinetics Perspective Open
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View article: Does Facial Hair Provide Significant Thermoregulatory Advantage and Protection in the Arctic? A Case for Bearded Arctic Warriors
Does Facial Hair Provide Significant Thermoregulatory Advantage and Protection in the Arctic? A Case for Bearded Arctic Warriors Open
Introduction Military standards favor clean shaven faces in soldiers to reinforce daily disciplinary habits and uniformity and ensure a proper seal of gas masks. In recent years, military beard policies have provided medical and religious …
View article: Geometric post-Lie deformations of post-Lie algebras and regularity structures
Geometric post-Lie deformations of post-Lie algebras and regularity structures Open
In order to derive a class of geometric-type deformations of post-Lie algebras, we first extend the geometrical notions of torsion and curvature for a general bilinear operation on a Lie algebra, then we derive compatibility conditions whi…
View article: Pattern matching for multivariate time series forecasting
Pattern matching for multivariate time series forecasting Open
This article presents a new approach to multivariate time series forecasting. While most existing techniques in the literature focus on forecasting a single time series, forecasting multiple time series is a common goal in many application…
View article: Special issue on “Advances in clustering, classification and related methods”
Special issue on “Advances in clustering, classification and related methods” Open
View article: A Stochastic Approximation of EM Algorithm for Handling Missing Data in Cox Regression Models
A Stochastic Approximation of EM Algorithm for Handling Missing Data in Cox Regression Models Open
Missing data is a common issue in data analysis, and in particular in survival analysis where the goal is to explain the time to event from a set of covariates. In the presence of missing data within these covariates, conventional imputati…
View article: FunCast: a forecasting model for functional data using covariates
FunCast: a forecasting model for functional data using covariates Open
Functional Data Analysis (FDA) is a mature area of statistics in which data are represented as smooth functions rather than finite-dimensional vectors, with concrete applications in fields such as medicine and finance. The functional appro…
View article: Energy Efficiency in Federated Learning: A Survey on Models, Strategies and Perspectives
Energy Efficiency in Federated Learning: A Survey on Models, Strategies and Perspectives Open
Federated Learning (FL) is an emerging distributed learning technique in which multiple devices optimize a model without transmitting raw data to a third-party server, thus facilitating the protection of user data privacy. In FL, devices t…
View article: Clustering Longitudinal Mixed Data
Clustering Longitudinal Mixed Data Open
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View article: Clustering Longitudinal Mixed-type Data
Clustering Longitudinal Mixed-type Data Open
International audience
View article: Model Based Co-Clustering: High Dimension and Estimation Challenges
Model Based Co-Clustering: High Dimension and Estimation Challenges Open
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View article: Mixture of Cox regression models with L 1 -penalization for modeling patients survival time after liver transplantation
Mixture of Cox regression models with L 1 -penalization for modeling patients survival time after liver transplantation Open
The study of time-to-event data is essential in fields such as biology and medicine, particularly for improving patient outcomes. For example it enables the evaluation of survival times in cancer patients or the duration until a relapse oc…
View article: 8731 Glucose homeostasis remains normal across a range of adiposity in fit men and women
8731 Glucose homeostasis remains normal across a range of adiposity in fit men and women Open
Disclosure: A.W. Potter: None. G.C. Chin: None. J.I. Jacques: None. L.J. Nindl: None. D.P. Looney: None. W.J. Tharion: None. C.L. Chapman: None. E.N. Halford: None. K.E. Friedl: None. Introduction. Glucose dysregulation is a major obesity-…
View article: A mixture of experts regression model for functional response with functional covariates
A mixture of experts regression model for functional response with functional covariates Open
Due to the fast growth of data that are measured on a continuous scale, functional data analysis has undergone many developments in recent years. Regression models with a functional response involving functional covariates, also called "fu…
View article: Model Based Co-Clustering:High Dimension and Estimation Challenges
Model Based Co-Clustering:High Dimension and Estimation Challenges Open
Le coclustering par modélisation probabiliste, qui peut être vu comme une extension du clustering par modèle de mélange, permet une réduction à la fois du nombre de lignes (individus) et de colonnes (variables) d'un ensemble de données de …
View article: Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions Open
View article: Reducing the Number of Experimental Points to Fit Kinetic Models: A Bayesian Approach
Reducing the Number of Experimental Points to Fit Kinetic Models: A Bayesian Approach Open
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View article: Modèle de mélanges d'experts pour données fonctionnelles
Modèle de mélanges d'experts pour données fonctionnelles Open
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View article: Mélange de modèles de Cox avec des données hétérogènes
Mélange de modèles de Cox avec des données hétérogènes Open
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View article: A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges Open
View article: A Penalized Spline Estimator for Functional Linear Regression with Functional Response
A Penalized Spline Estimator for Functional Linear Regression with Functional Response Open
View article: Post-Lie algebras of derivations and regularity structures
Post-Lie algebras of derivations and regularity structures Open
Given a commutative algebra $A$, we exhibit a canonical structure of post-Lie algebra on the space $A\otimes Der(A)$ where $Der(A)$ is the space of derivations on $A$, in order to use the machinery given in [Guin & Oudom 2008] and [Ebrahim…
View article: Co-clustering of multivariate functional data for the analysis of air pollution in the South of France
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France Open
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View article: Outliers Detection in Functional Data
Outliers Detection in Functional Data Open
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View article: Clustering Longitudinal Ordinal Data via Finite Mixture of Matrix-Variate Latent Gaussians
Clustering Longitudinal Ordinal Data via Finite Mixture of Matrix-Variate Latent Gaussians Open
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View article: Design of Experiment for Bayesian transferred model
Design of Experiment for Bayesian transferred model Open
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View article: Clustering et détection d'anomalies dans les données fonctionnelles
Clustering et détection d'anomalies dans les données fonctionnelles Open
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