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ORCIDJulien Jacques
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2020 – today
- 2024
[j26]Francesco Amato
, Julien Jacques, Isabelle Prim-Allaz:
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions. Stat. Comput. 34(2): 81 (2024)- [j25]Jean Steve Tamo Tchomgui, Julien Jacques, Guillaume Fraysse, Vincent Barriac, Stéphane Chrétien:
A mixture of experts regression model for functional response with functional covariates. Stat. Comput. 34(5): 154 (2024) - 2023
- [j24]Christophe Biernacki, Julien Jacques, Christine Keribin:
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. J. Classif. 40(2): 332-381 (2023) - 2022
- [j23]Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Editorial for ADAC issue 1 of volume 16 (2022). Adv. Data Anal. Classif. 16(1): 1-3 (2022) - [j22]Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Special issue on "Models and learning for clustering and Classification". Adv. Data Anal. Classif. 16(2): 231-234 (2022) - [j21]Martial Amovin-Assagba, Irène Gannaz, Julien Jacques:
Outlier detection in multivariate functional data through a contaminated mixture model. Comput. Stat. Data Anal. 174: 107496 (2022) - [j20]Yosra Ben Slimen, Julien Jacques, Sylvain Allio:
Co-clustering for binary and functional data. Commun. Stat. Simul. Comput. 51(9): 4845-4866 (2022) - [c11]Jean Dupuy, Adrien Guille, Julien Jacques:
Anchor Prediction: A Topic Modeling Approach. WWW (Companion Volume) 2022: 1310-1318 - [c10]Antoine Gourru, Julien Velcin, Christophe Gravier, Julien Jacques:
Dynamic Gaussian Embedding of Authors. WWW 2022: 2109-2119 - [i5]Jean Dupuy, Adrien Guille, Julien Jacques:
Anchor Prediction: A Topic Modeling Approach. CoRR abs/2205.14631 (2022) - 2021
- [c9]Jean Dupuy, Adrien Guille, Julien Jacques:
Contextual-RTM: un cadre général pour la modélisation de thématiques dans les réseaux de documents. EGC 2021: 83-94 - 2020
- [j19]Margot Selosse, Julien Jacques, Christophe Biernacki:
Model-based co-clustering for mixed type data. Comput. Stat. Data Anal. 144: 106866 (2020) - [j18]Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin:
Clustering multivariate functional data in group-specific functional subspaces. Comput. Stat. 35(3): 1101-1131 (2020) - [j17]Margot Selosse, Julien Jacques, Christophe Biernacki:
Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognit. 103: 107315 (2020) - [j16]Margot Selosse, Julien Jacques, Christophe Biernacki:
ordinalClust: An R Package to Analyze Ordinal Data. R J. 12(2): 173 (2020) - [j15]Amandine Schmutz, Laurence Chèze, Julien Jacques, Pauline Martin:
A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method. Sensors 20(2): 518 (2020) - [c8]Antoine Gourru, Adrien Guille, Julien Velcin, Julien Jacques:
Document Network Projection in Pretrained Word Embedding Space. ECIR (2) 2020: 150-157 - [c7]Antoine Gourru, Julien Velcin, Julien Jacques:
Gaussian Embedding of Linked Documents from a Pretrained Semantic Space. IJCAI 2020: 3912-3918 - [i4]Antoine Gourru, Adrien Guille, Julien Velcin, Julien Jacques:
Document Network Projection in Pretrained Word Embedding Space. CoRR abs/2001.05727 (2020)
2010 – 2019
- 2019
- [i3]Jean Dupuy, Adrien Guille, Julien Jacques:
Document Network Embedding: Coping for Missing Content and Missing Links. CoRR abs/1912.03048 (2019) - 2018
- [j14]Julien Jacques, Christophe Biernacki:
Model-based co-clustering for ordinal data. Comput. Stat. Data Anal. 123: 101-115 (2018) - [j13]Yosra Ben Slimen, Sylvain Allio, Julien Jacques:
Model-based co-clustering for functional data. Neurocomputing 291: 97-108 (2018) - 2017
- [c6]Yosra Ben Slimen, Sylvain Allio, Julien Jacques:
Anomaly Prevision in Radio Access Networks Using Functional Data Analysis. GLOBECOM 2017: 1-6 - 2016
- [j12]Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickaël Canouil:
Variable Clustering in High-Dimensional Linear Regression: The R Package clere. R J. 8(1): 92 (2016) - [j11]Christophe Biernacki, Julien Jacques:
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm. Stat. Comput. 26(5): 929-943 (2016) - 2015
- [c5]Charles Bouveyron, Julien Jacques:
Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste. EGC 2015: 149-154 - [c4]Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques:
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. IDA 2015: 120-131 - [i2]Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques:
A Comparative Study of Clustering Methods with Multinomial Distribution. CoRR abs/1505.02324 (2015) - [i1]Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques:
Opinion mining from twitter data using evolutionary multinomial mixture models. CoRR abs/1509.07344 (2015) - 2014
- [j10]Julien Jacques, Cristian Preda:
Functional data clustering: a survey. Adv. Data Anal. Classif. 8(3): 231-255 (2014) - [j9]Julien Jacques, Cristian Preda:
Model-based clustering for multivariate functional data. Comput. Stat. Data Anal. 71: 92-106 (2014) - [j8]Charles Bouveyron, Julien Jacques:
Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. Commun. Stat. Simul. Comput. 43(10): 2570-2592 (2014) - [j7]Julien Jacques, Quentin Grimonprez, Christophe Biernacki:
Rankcluster: An R Package for Clustering Multivariate Partial Rankings. R J. 6(1): 101 (2014) - 2013
- [j6]Christophe Biernacki, Julien Jacques:
A generative model for rank data based on insertion sort algorithm. Comput. Stat. Data Anal. 58: 162-176 (2013) - [j5]Julien Jacques, Cristian Preda:
Funclust: A curves clustering method using functional random variables density approximation. Neurocomputing 112: 164-171 (2013) - 2012
- [c3]Julien Jacques, Cristian Preda:
Curves clustering with approximation of the density of functional random variables. ESANN 2012 - 2011
- [j4]Charles Bouveyron, Julien Jacques:
Model-based clustering of time series in group-specific functional subspaces. Adv. Data Anal. Classif. 5(4): 281-300 (2011) - 2010
- [j3]Charles Bouveyron, Julien Jacques:
Adaptive linear models for regression: Improving prediction when population has changed. Pattern Recognit. Lett. 31(14): 2237-2247 (2010)
2000 – 2009
- 2009
- [j2]Carole Langlois-Jacques, Julien Jacques:
Détection d'hétérogénéité au sein de mesures de qualité de l'environnement. Monde des Util. Anal. Données 40: 41-52 (2009) - 2007
- [c2]Pierre Peterlongo, Laurent Noé, Dominique Lavenier, Gilles Georges, Julien Jacques, Gregory Kucherov, Mathieu Giraud:
Protein Similarity Search with Subset Seeds on a Dedicated Reconfigurable Hardware. PPAM 2007: 1240-1248 - 2006
- [j1]Julien Jacques, Christian Lavergne, Nicolas Devictor:
Sensitivity analysis in presence of model uncertainty and correlated inputs. Reliab. Eng. Syst. Saf. 91(10-11): 1126-1134 (2006) - 2005
- [c1]Julien Jacques, Christophe Biernacki:
Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes. DMAS 2005: 129
Coauthor Index
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