J. Jacques

发表

Clustering multivariate functional data in group-specific functional subspaces

Charles Bouveyron, Julien Jacques, Amandine Schmutz, 2020, Computational Statistics.

The discriminative functional mixture model for a comparative analysis of bike sharing systems

C. Bouveyron, E. Côme, J. Jacques, 2016, 1601.07999.

The Discriminative Functional Mixture Model for the Analysis of Bike Sharing Systems

Charles Bouveyron, Julien Jacques, Etienne Côme, 2014 .

Model-based clustering of functional data

C. Preda, J. Jacques, 2011 .

Analysing a quality‐of‐life survey by using a coclustering model for ordinal data and some dynamic implications

Julien Jacques, Christophe Biernacki, Margot Selosse, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Gaussian mixture models for the classification of high‐dimensional vibrational spectroscopy data

C. Bouveyron, S. Girard, L. Duponchel, 2010 .

Combining combinatorial optimization and statistics to mine high-throughput genotyping data

Julien Jacques, Clarisse Dhaenens, G. Even, 2011 .

Use of a novel evolutionary algorithm for genomic selection

G. Even, C. Dhaenens, J. Jacques, 2015 .

Co-clustering of multivariate functional data for the analysis of air pollution in the South of France

C. Bouveyron, A. Schmutz, J. Jacques, 2020, The Annals of Applied Statistics.

Clustering multivariate functional data

Julien Jacques, Cristian Preda, C. Preda, 2012 .

Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm

Julien Jacques, Christophe Biernacki, C. Biernacki, 2015, Statistics and Computing.

Analyzing quality of life survey using constrained co-clustering model for ordinal data and some dynamic implication

Julien Jacques, Christophe Biernacki, Margot Selosse, 2018 .

A generative model for rank data based on sorting algorithm

Julien Jacques, Christophe Biernacki, C. Biernacki, 2009 .

Extension of model-based classification for binary data when training and test populations differ

Julien Jacques, Christophe Biernacki, C. Biernacki, 2010 .

Co-clustering for binary and functional data

J. Jacques, S. Allio, Y. B. Slimen, 2020, Commun. Stat. Simul. Comput..

Short-time Electricity Demand Forecasting Using a Functional State Space Model

Jairo Cugliari, J. Jacques, Komi Nagbe, 2019 .

Adaptive linear models in regression for the modeling of housing market in different U.S. cities

C. Bouveyron, J. Jacques, 2008 .

Adaptive Regression Models for Modeling and Understanding Evolving Populations

C. Bouveyron, J. Jacques, P. Gaubert, 2014 .

Adaptive models in regression for modeling and understanding evolving populations

C. Bouveyron, J. Jacques, P. Gaubert, 2011 .

Review for "On using kernel integration by graphical LASSO to study partial correlations between heterogeneous data sets"

J. Jacques, 2020 .

Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification

Laetitia Vermeulen-Jourdan, Holger H. Hoos, Marie-Eléonore Kessaci, 2020, PPSN.

Functional data clustering: a survey

C. Preda, J. Jacques, 2013, Advances in Data Analysis and Classification.

ordinalClust: An R Package to Analyze Ordinal Data

C. Biernacki, J. Jacques, Margot Selosse, 2020, R J..

Functional data clustering: a survey

Julien Jacques, Cristian Preda, C. Preda, 2013, Advances in Data Analysis and Classification.

Funclust: A curves clustering method using functional random variables density approximation

Julien Jacques, Cristian Preda, C. Preda, 2013, Neurocomputing.

Model-based clustering of time series in group-specific functional subspaces

Charles Bouveyron, Julien Jacques, C. Bouveyron, 2011, Adv. Data Anal. Classif..

Knowledge Discovery in Bioinformatics

Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, Julie Jacques, 2015, Handbook of Computational Intelligence.

Rankcluster: An R Package for Clustering Multivariate Partial Rankings

Christophe Biernacki, Quentin Grimonprez, Julien Jacques, 2014, R J..

Model-based co-clustering for ordinal data

Julien Jacques, Christophe Biernacki, C. Biernacki, 2017, Comput. Stat. Data Anal..

A generative model for rank data based on insertion sort algorithm

Julien Jacques, Christophe Biernacki, C. Biernacki, 2013, Comput. Stat. Data Anal..

Model-based clustering for multivariate partial ranking data

Christophe Biernacki, Julien Jacques, C. Biernacki, 2014 .

Reducing the number of experiments required for modelling the hydrocracking process with kriging through Bayesian transfer learning

Benoit Celse, Julien Jacques, Loïc Iapteff, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

The functional latent block model for the co‐clustering of electricity consumption curves

Charles Bouveyron, Julien Jacques, Laurent Bozzi, 2018 .

Textual data summarization using the Self-Organized Co-Clustering model

Christophe Biernacki, Julien Jacques, Margot Selosse, 2020, Pattern Recognit..

Outlier detection in multivariate functional data through a contaminated mixture model

Irène Gannaz, J. Jacques, Martial Amovin-Assagba, 2021, Comput. Stat. Data Anal..

Model-based clustering for multivariate functional data

Julien Jacques, Cristian Preda, C. Preda, 2013, Comput. Stat. Data Anal..

Evolutionary clustering for categorical data using parametric links among multinomial mixture models

Julien Jacques, Stéphane Bonnevay, Julien Velcin, 2017 .

Model-based co-clustering for mixed type data

Julien Jacques, Christophe Biernacki, Margot Selosse, 2020, Comput. Stat. Data Anal..

A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method

Julien Jacques, Laurence Chèze, Amandine Schmutz, 2020, Sensors.

The detection of hospitalized patients at risk of testing positive to multi-drug resistant bacteria using MOCA-I, a rule-based "white-box" classification algorithm for medical data

Laetitia Vermeulen-Jourdan, Arnaud Hansske, David Delerue, 2020, Int. J. Medical Informatics.

A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges

C. Biernacki, C. Keribin, J. Jacques, 2023, Journal of Classification.

A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand

Julien Jacques, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, 2018, Energies.

Short-Term Electricity Demand Forecasting Using a Functional State Space Model

Julien Jacques, Jairo Cugliari, Komi Nagbe, 2018 .

Dynamic Gaussian Embedding of Authors

J. Jacques, C. Gravier, Antoine Gourru, 2022, WWW.

Opinion mining from twitter data using evolutionary multinomial mixture models pdf

Julien Jacques, Stéphane Bonnevay, Julien Velcin, 2015, ArXiv.

Biclustering Algorithms Based on Metaheuristics: A Review

C. Dhaenens, J. Jacques, V. Sobanski, 2022, ArXiv.

Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm

Laetitia Vermeulen-Jourdan, Lucien Mousin, Marie-Eléonore Kessaci, 2020, LION.

Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets

Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, Julien Taillard, 2015, Appl. Soft Comput..

Analysing cycling sensors data through ordinal logistic regression with functional covariates

J. Jacques, Sanja Samardžić, 2022, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Model-based co-clustering for functional data

Julien Jacques, Sylvain Allio, Yosra Ben Slimen, 2016, Neurocomputing.

Gaussian Embedding of Linked Documents from a Pretrained Semantic Space

Julien Velcin, Antoine Gourru, Julien Jacques, 2020, IJCAI.

Document Network Projection in Pretrained Word Embedding Space

Julien Velcin, Antoine Gourru, Adrien Guille, 2020, ECIR.

Document Network Embedding: Coping for Missing Content and Missing Links pdf

Adrien Guille, Julien Jacques, Jean Dupuy, 2019, ArXiv.

Adaptive linear models for regression: Improving prediction when population has changed

C. Bouveyron, J. Jacques, 2010, Pattern Recognit. Lett..

Variable clustering in high dimensional linear regression models

Julien Jacques, Christophe Biernacki, Loic Yengo, 2014 .

Curves clustering with approximation of the density of functional random variables

Julien Jacques, Cristian Preda, C. Preda, 2012, ESANN.

Simultaneous predictive bands for functional time series using minimum entropy sets

Julien Jacques, Jairo Cugliari, Nicol'as Hern'andez, 2021, 2105.13627.

ClinMine: Optimizing the Management of Patients in Hospital

Clarisse Dhaenens, Emmanuel Chazard, Grégoire Ficheur, 2018 .

Variable Clustering in High-Dimensional Linear Regression: The R Package clere

C. Biernacki, M. Canouil, L. Yengo, 2016, R J..

Dynamic Gaussian Embedding of Authors

J. Jacques, C. Gravier, Antoine Gourru, 2022, WWW.

Model-based clustering for multivariate partial ranking data

C. Biernacki, J. Jacques, 2014 .