Keywords

Co-authors

Number of documents

99

Fabrice Rossi


Journal articles37 documents

  • Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix. Self-OrganizingMaps, theory and applications. Revista de Investigacion Operacional, 2018, 39 (1), pp.1-22. ⟨hal-01796059⟩
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. Discovering Patterns in Time-Varying Graphs: A Triclustering Approach. Advances in Data Analysis and Classification, Springer Verlag, 2018, 12 (3), pp.509-536. ⟨10.1007/s11634-015-0218-6⟩. ⟨hal-01356993⟩
  • Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Vialaneix. SELF-ORGANIZING MAPS, THEORY AND APPLICATIONS. Revista de Investigacion Operacional, 2018, 39 (1), pp.1-22. ⟨hal-01706418⟩
  • Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi. The dynamic stochastic topic block model for dynamic networks with textual edges. Statistics and Computing, Springer Verlag (Germany), In press, ⟨10.1007/s11222-018-9832-4⟩. ⟨hal-01621757⟩
  • Bienvenue Kouwaye, Fabrice Rossi, Noël Fonton, André Garcia, Simplice Dossou-Gbété, et al.. Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm. PLoS ONE, Public Library of Science, 2017, 12 (10), ⟨10.1371/journal.pone.0187234⟩. ⟨hal-01736935⟩
  • A. Endert, W. Ribarsky, C. Turkay, W Wong, I. Nabney, et al.. The State of the Art in Integrating Machine Learning into Visual Analytics. Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486. ⟨10.1111/cgf.13092⟩. ⟨hal-01714743⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Multiple change points detection and clustering in dynamic networks. Statistics and Computing, Springer Verlag (Germany), 2017, ⟨10.1007/s11222-017-9775-1⟩. ⟨hal-01430717⟩
  • Kevin Françoisse, Ilkka Kivimäki, Amin Mantrach, Fabrice Rossi, Marco Saerens. A bag-of-paths framework for network data analysis. Neural Networks, Elsevier, 2017, 90, pp.90 - 111. ⟨10.1016/j.neunet.2017.03.010⟩. ⟨hal-01583972⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL. Social Network Analysis and Mining, Springer, 2016, 6, ⟨10.1007/s13278-016-0368-3⟩. ⟨hal-01468548v2⟩
  • Arnaud de Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. Mean Absolute Percentage Error for regression models. Neurocomputing, Elsevier, 2016, Advances in artificial neural networks, machine learning and computational intelligence — Selected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015), 192, pp.38 - 48. ⟨http://www.sciencedirect.com/science/article/pii/S0925231216003325⟩. ⟨10.1016/j.neucom.2015.12.114⟩. ⟨hal-01312590v2⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks. Neurocomputing, Elsevier, 2016, Advances in artificial neural networks, machine learning and computational intelligence — Selected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015), 192, pp.81-91. ⟨http://www.sciencedirect.com/science/article/pii/S0925231216002599⟩. ⟨10.1016/j.neucom.2016.02.031⟩. ⟨hal-01312596v2⟩
  • Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. A statistical network analysis of the HIV/AIDS epidemics in Cuba. Social Network Analysis and Mining, Springer, 2015, 5, pp.58. ⟨10.1007/s13278-015-0291-z⟩. ⟨hal-00936316v3⟩
  • Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. A statistical network analysis of the HIV/AIDS epidemics in Cuba. Social Network Analysis and Mining, Springer, 2015, 5 (1), ⟨10.1007/s13278-015-0291-z⟩. ⟨hal-02107472⟩
  • Fabrice Rossi, Nathalie Vialaneix, Florent Hautefeuille. Exploration of a large database of French notarial acts with social network methods. Digital Medievalist, University of Lethbridge, 2014, 9, pp.2013. ⟨hal-01053673⟩
  • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Transactions on Machine Learning and Data Mining, IBAI Publishing, 2014, 7 (2), pp.39-64. ⟨http://www.ibai-publishing.org/journal/issue_mldm/2014_October/mldm_7_2_39_64.php⟩. ⟨hal-01133175⟩
  • Nathalie Villa-Vialaneix, Bertrand Jouve, Fabrice Rossi, Florent Hautefeuille. Spatial correlation in bipartite networks. Revue des Nouvelles Technologies de l'Information, Hermann, 2013, pp.97-110. ⟨hal-00761081⟩
  • Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix. Neural Networks for Complex Data. KI - Künstliche Intelligenz, 2012, 26 (4), pp.373-380. ⟨10.1007/s13218-012-0207-2⟩. ⟨hal-00744929⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix. Représentation d'un grand réseau à partir d'une classification hiérarchique de ses sommets. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (3), pp.34-65. ⟨hal-00651577⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix. Consistency of functional learning methods based on derivatives. Pattern Recognition Letters, Elsevier, 2011, 32 (8), pp.1197-1209. ⟨10.1016/j.patrec.2011.03.001⟩. ⟨hal-00589738⟩
  • Georges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi. Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation. Neurocomputing, Elsevier, 2010, 73 (7-9), pp.Pages 1125-1141. ⟨10.1016/j.neucom.2009.11.022⟩. ⟨hal-00515908⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix. Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach. Neurocomputing, Elsevier, 2010, 73 (7-9), pp.Pages 1142-1163. ⟨10.1016/j.neucom.2009.11.023⟩. ⟨hal-00515892⟩
  • Romain Boulet, Bertrand Jouve, Fabrice Rossi, Nathalie Villa. Batch kernel SOM and related Laplacian methods for social network analysis. Neurocomputing, Elsevier, 2008, 71 (7-9), pp.1257-1273. ⟨hal-00202339⟩
  • Brieuc Conan-Guez, Fabrice Rossi. Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluation. Revue des Nouvelles Technologies de l'Information, Hermann, 2008. ⟨inria-00232866⟩
  • Catherine Krier, Fabrice Rossi, Damien François, Michel Verleysen. A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. Chemometrics and Intelligent Laboratory Systems, Elsevier, 2008, ⟨10.1016/j.chemolab.2007.09.004⟩. ⟨inria-00232874⟩
  • Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen. Fast Selection of Spectral Variables with B-Spline Compression. Chemometrics and Intelligent Laboratory Systems / I Mathematical Background Chemometrics Intell Lab Syst, 2007, 86 (2), pp.208-218. ⟨10.1016/j.chemolab.2006.06.007⟩. ⟨inria-00174299⟩
  • Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen. Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing, Elsevier, 2007, 70 (7-9), pp.1276-1288. ⟨10.1016/j.neucom.2006.11.019⟩. ⟨inria-00174298⟩
  • Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Chemometrics and Intelligent Laboratory Systems / I Mathematical Background Chemometrics Intell Lab Syst, 2006, 80 (2), pp.215-226. ⟨10.1016/j.chemolab.2005.06.010⟩. ⟨inria-00174077⟩
  • Fabrice Rossi, Brieuc Conan-Guez. Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs. Neural Processing Letters, Springer Verlag, 2006, 23 (1), pp.55-70. ⟨10.1007/s11063-005-3100-2⟩. ⟨inria-00001191⟩
  • Fabrice Rossi, Nathalie Villa. Support vector machine for functional data classification. Neurocomputing, Elsevier, 2006, 69 (7-9), pp.730-742. ⟨10.1016/j.neucom.2005.12.010⟩. ⟨hal-00144141⟩
  • Aïcha El Golli, Fabrice Rossi, Brieuc Conan-Guez, Yves Lechevallier. Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités. Revue de Statistique Appliquée, Société française de statistique, 2006, LIV (3), pp.33-64. ⟨inria-00174272⟩
  • Nathalie Villa, Fabrice Rossi. Un résultat de consistance pour des SVM fonctionnels par interpolation spline. Comptes rendus de l'Académie des sciences. Série I, Mathématique, Elsevier, 2006, 343 (8), pp.555-560. ⟨10.1016/j.crma.2006.09.025⟩. ⟨hal-00144142⟩
  • Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli. Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps. Neural Networks, Elsevier, 2006, 19 (6-7), pp.855-863. ⟨10.1016/j.neunet.2006.05.002⟩. ⟨inria-00174196⟩
  • Fabrice Rossi, Brieuc Conan-Guez. Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles. Revue de Statistique Appliquée, Société française de statistique, 2005, LIII (4), pp.5-30. ⟨inria-00001190⟩
  • Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen. Representation of Functional Data in Neural Networks. Neurocomputing, Elsevier, 2005, Neurocomputing, 64, pp.183--210. ⟨10.1016/j.neucom.2004.11.012⟩. ⟨inria-00000666v2⟩
  • Fabrice Rossi, Brieuc Conan-Guez. Estimation consistante des paramètres d'un modèle non linéaire pour des données fonctionnelles discrétisées aléatoirement. Comptes rendus de l'Académie des sciences. Série I, Mathématique, Elsevier, 2005, 340 (2), pp.167-170. ⟨10.1016/j.crma.2004.11.029⟩. ⟨inria-00000223⟩
  • Fabrice Rossi, Brieuc Conan-Guez. Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis. Neural Networks, Elsevier, 2005, 18 (1), pp.45--60. ⟨10.1016/j.neunet.2004.07.001⟩. ⟨inria-00000599v2⟩
  • Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi. Self-organizing maps and symbolic data. Journal of Symbolic Data Analysis, Seconda Università degli studi di Napoli, 2004, 2 (1). ⟨inria-00174274⟩

Conference papers50 documents

  • Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot. Un modèle Bayésien de co-clustering de données mixtes. Extraction et gestion des connaissances 2018, Jan 2018, Paris, France. pp.275-280. ⟨hal-02007805⟩
  • Jérôme Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Vialaneix. Accelerating stochastic kernel SOM. XXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. pp.269-274. ⟨hal-01516660⟩
  • Aichetou Bouchareb, Marc Boullé, Fabrice Rossi. Co-clustering de données mixtes à base des modèles de mélange. Conférence Internationale Francophone sur l'Extraction et gestion des connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.141-152. ⟨hal-01469546⟩
  • Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi. Application du coclustering à l'analyse exploratoire d'une table de données. Conférence Internationale Francophone sur l'Extraction et gestion des connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.177-188. ⟨hal-01469509⟩
  • Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Vialaneix. Theoretical and applied aspects of the self-organizing maps. WSOM 2016, Jan 2016, Houston, TX, United States. pp.3-26, ⟨10.1007/978-3-319-28518-4_1⟩. ⟨hal-01270701⟩
  • Pierre Latouche, Fabrice Rossi. Graphs in machine learning: an introduction. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.207-218. ⟨hal-01166849⟩
  • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296. ⟨hal-01162981⟩
  • Arnaud de Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. Using the Mean Absolute Percentage Error for Regression Models. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. ⟨hal-01162980⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.225-230. ⟨hal-01163367⟩
  • Arnaud de Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. Reducing offline evaluation bias of collaborative filtering algorithms. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.137-142. ⟨hal-01163390⟩
  • Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi. Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2015, Porto, Portugal. ⟨10.1007/978-3-319-23461-8_3⟩. ⟨hal-01261122⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. 47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01195688⟩
  • Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi. Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. European Conference, ECML PKDD 2015, Sep 2015, Porto, Portugal. pp.37 - 52, ⟨10.1007/978-3-319-23461-8_3⟩. ⟨hal-01468083⟩
  • Arnaud de Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. Study of a bias in the offline evaluation of a recommendation algorithm. 11th Industrial Conference on Data Mining, ICDM 2015, Jul 2015, Hamburg, Germany. pp.57-70. ⟨hal-01222395⟩
  • Bienvenue Kouwayè, Noël Fonton, Fabrice Rossi. Lasso based feature selection for malaria risk exposure prediction. Machine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany. ⟨hal-01222403⟩
  • Marco Corneli, Pierre Latouche, Fabrice Rossi. Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. Fith International Workshop on Social Network Analysis (ARS'15), Apr 2015, Anacapri, Italy. pp.21. ⟨hal-01222325⟩
  • Bienvenue Kouwayè, Noël Fonton, Fabrice Rossi. Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre. 47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01196450⟩
  • Fabrice Rossi. How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need?. 10th International Workshop on Self Organizing Maps, WSSOM 2014, Jul 2014, Mittweida, Germany. pp.3-23, ⟨10.1007/978-3-319-07695-9_1⟩. ⟨hal-01017468⟩
  • Arnaud de Myttenaere, Bénédicte Le Grand, Boris Golden, Fabrice Rossi. Reducing Offline Evaluation Bias in Recommendation Systems. 23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.55-62. ⟨hal-01017734⟩
  • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. Anomaly Detection Based on Indicators Aggregation. International Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩. ⟨hal-01064529⟩
  • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. Proceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩. ⟨hal-01058431⟩
  • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. Anomaly Detection Based on Aggregation of Indicators. 23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71. ⟨hal-01017853v2⟩
  • Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé. Classifications croisées de données de trajectoires contraintes. Extraction et Gestion des Connaissances, Jan 2013, Toulouse, France. pp.341-352. ⟨hal-00793850⟩
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. Étude des corrélations spatio-temporelles des appels mobiles en France. Extraction et Gestion des Connaissances, Jan 2013, Toulouse, France. pp.437-448. ⟨hal-00793858⟩
  • Fabrice Rossi, Pierre Latouche. Inférence de dates d'activité à partir d'un réseau d'interactions datées. 45èmes Journées de Statistique, May 2013, Toulouse, France. pp.JdS. ⟨hal-00830101v2⟩
  • Fabrice Rossi, Pierre Latouche. Activity date estimation in timestamped interaction networks. 21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. pp.113-118. ⟨hal-00825967v2⟩
  • Martin Riedel, Marika Kästner, Fabrice Rossi, Thomas Villmann. Regularization in Relevance Learning Vector Quantization Using l one Norms. 21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. pp.17-22. ⟨hal-00874854⟩
  • Mohamed Khalil El Mahrsi, Fabrice Rossi. Graph-Based Approaches to Clustering Network-Constrained Trajectory Data. Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012), held at ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. pp.184-195. ⟨hal-00737457⟩
  • Matthieu Durut, Benoît Patra, Fabrice Rossi. A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms. 20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.477-482. ⟨hal-00696072⟩
  • Nathalie Villa-Vialaneix, Fabrice Rossi, Florent Hautefeuille. Exploration relationnelle d'un corpus d'actes notariés médiévaux. Colloque Configuration(s), Jun 2012, Paris, France. ⟨hal-00721403⟩
  • Marc Boullé, Romain Guigourès, Fabrice Rossi. Clustering hiérarchique non paramétrique de données fonctionnelles. Extraction et gestion des connaissances, Jan 2012, Bordeaux, France. pp.101--112, 2012. 〈hal-00672958〉
  • Mohamed Khalil El Mahrsi, Fabrice Rossi. Modularity-Based Clustering for Network-Constrained Trajectories. 20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.471-476. ⟨hal-00695753v2⟩
  • Mohamed Khalil El Mahrsi, Fabrice Rossi. Clustering par optimisation de la modularité pour trajectoires d'objets mobiles. Ubimob'12, Jun 2012, Anglet, France. pp.12-22. ⟨hal-00710657⟩
  • Brieuc Conan-Guez, Fabrice Rossi. Dissimilarity Clustering by Hierarchical Multi-Level Refinement. 20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.483-488, 2012. 〈hal-00692282〉
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. A Triclustering Approach for Time Evolving Graphs. Co-clustering and Applications International Conference on Data Mining Workshop, Dec 2012, Brussels, Belgium. pp.115-122, ⟨10.1109/ICDMW.2012.61⟩. ⟨hal-00773133⟩
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. Triclustering pour la détection de structures temporelles dans les graphes. 3ième conférence sur les modèles et l'analyse des réseaux : Approches mathématiques et informatiques (MARAMI 2012), Oct 2012, Villetaneuse, France. ⟨hal-00743798⟩
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. Segmentation géographique par étude d'un journal d'appels téléphoniques. 2ième Journée thématique : Fouille de grands graphes, Oct 2011, Grenoble, France. ⟨hal-00651568⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix, Florent Hautefeuille. Exploration of a large database of French notarial acts with social network methods. Digital Diplomatics 2011, Sep 2011, Napoli, Italy. 〈hal-00668224〉
  • Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. Visual Mining of Epidemic Networks. International Work Conference on Artificial Neural Networks, Jun 2011, Torremolinos, Spain. pp.276-283, ⟨10.1007/978-3-642-21498-1_35⟩. ⟨hal-00603638v2⟩
  • Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. Hierarchical clustering for graph visualization. European Symposium on Artificial Neural Networks (ESANN 2011), Apr 2011, Bruges, Belgium. pp.227-232. ⟨hal-00603639v2⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix, Florent Hautefeuille. Exploration of a Large Database of French Charters with Social Network Methods. International Medieval Congress (IMC 2011), Jul 2011, Leeds, United Kingdom. ⟨hal-00668229⟩
  • Nathalie Villa-Vialaneix, Fabrice Rossi. Classification and regression based on derivatives : a consistency result. II Simposio sobre Modelamiento Estadístico, Dec 2010, Valparaiso, Chile. ⟨hal-00668212⟩
  • Laurence Liaubet, Nathalie Villa-Vialaneix, Adrien Gamot, Fabrice Rossi, Pierre Cherel, et al.. The structure of a gene network reveals 7 biological sub-graphs underlying eQTLs in pig. World Congress on Genetics Applied to Livestock Production, Aug 2010, Leipzig, Germany. pp.0147. ⟨hal-00666597⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix. Topologically Ordered Graph Clustering via Deterministic Annealing. European Symposium on Artificial Neural Networks, Apr 2009, Bruges, Belgium. pp.529-534. ⟨hal-00666602⟩
  • Nathalie Villa, Fabrice Rossi. Méthode de classification organisée pour la recherche de communautés dans les réseaux sociaux. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386797⟩
  • Adrien Gamot, Nathalie Villa, Laurence Liaubet, Fabrice Rossi, Gwenola Tosser-Klopp, et al.. Are gene networks always meaningful?. European Animal Disease Genomics Network of Excellence for Animal Health and Food Safety (EADGENE Days 2009), Oct 2009, Paris, France. ⟨hal-00668239⟩
  • Géraldine Ebrard, Miguel Angel Fernández, Jean-Frédéric Gerbeau, Fabrice Rossi, Nejib Zemzemi. From intracardiac electrograms to electrocardiograms. Models and metamodels. Functional Imaging and Modeling of the Heart, 2009, Nice, France. pp.524-533. ⟨inria-00542776⟩
  • Nathalie Villa, Fabrice Rossi, Quoc-Dinh Truong. Mining a medieval social network by kernel SOM and related methods. MASHS 2008 (Modèles et Apprentissages en Sciences Humaines et Sociales), Jun 2008, Créteil, France. ⟨hal-00278196⟩
  • Fabrice Rossi, Nathalie Villa-Vialaneix. Consistency of Derivative Based Functional Classifiers on Sampled Data. ESANN 2008, 16th European Symposium on Artificial Neural Networks, Apr 2008, Bruges, Belgium. pp.445-450. ⟨hal-00666609⟩
  • Nathalie Villa-Vialaneix, Fabrice Rossi. A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph. WSOM'07 - Workshop on Self-Organizing Maps, Sep 2007, Bielefeld, Germany. pp.WeP-1. ⟨hal-00674189⟩

Book sections11 documents

  • Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé. Co-Clustering Network-Constrained Trajectory Data. Fabrice Guillet; Bruno Pinaud; Gilles Venturini; Djamel Abdelkader Zighed. Advances in Knowledge Discovery and Management, 615, Springer International Publishing, pp.19-32, 2015, Studies in Computational Intelligence, 978-3-319-23750-3. ⟨10.1007/978-3-319-23751-0_2⟩. ⟨http://link.springer.com/chapter/10.1007/978-3-319-23751-0_2⟩. ⟨hal-01222649⟩
  • Romain Guigourès, Marc Boullé, Fabrice Rossi. A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. Fabrice Guillet; Bruno Pinaud; Gilles Venturini; Djamel Abdelkader Zighed. Advances in Knowledge Discovery and Management, 615, Springer International Publishing, pp.3-17, 2015, Studies in Computational Intelligence, 978-3-319-23750-3. ⟨10.1007/978-3-319-23751-0_1⟩. ⟨http://link.springer.com/chapter/10.1007/978-3-319-23751-0_1⟩. ⟨hal-01222355⟩
  • Marc Boullé, Romain Guigourès, Fabrice Rossi. Nonparametric Hierarchical Clustering of Functional Data. Guillet, Fabrice and Pinaud, Bruno and Venturini, Gilles and Zighed, Djamel Abdelkader. Advances in Knowledge Discovery and Management, Springer International Publishing, pp.15-35, 2014, Studies in Computational Intelligence, 978-3-319-02998-6. ⟨10.1007/978-3-319-02999-3_2⟩. ⟨hal-01017553⟩
  • Mohamed Khalil El Mahrsi, Fabrice Rossi. Graph-Based Approaches to Clustering Network-Constrained Trajectory Data. Appice, Annalisa and Ceci, Michelangelo and Loglisci, Corrado and Manco, Giuseppe and Masciari, Elio and Ras, Zbigniew. New Frontiers in Mining Complex Patterns, Springer Berlin Heidelberg, pp.124-137, 2013, Lecture Notes in Computer Science, 978-3-642-37381-7. ⟨10.1007/978-3-642-37382-4_9⟩. ⟨hal-00874886⟩
  • Charanpal Dhanjal, Sandrine Blanchemanche, Stéphan Clémençon, Akos Rona-Tas, Fabrice Rossi. Dissemination of Health Information within Social Networks. Vedres, Balázs and Scotti, Marco. Networks in Social Policy Problems, Cambridge University Press, pp.15-46, 2012, 9781107009837. ⟨hal-00753217⟩
  • Fabrice Rossi, Yves Lechevallier. Constrained variable clustering and the best basis problem in functional data analysis. Bernard Fichet, Domenico Piccolo, Rosanna Verde and Maurizio Vichi. Classification and Multivariate Analysis for Complex Data Structures, Springer Berlin Heidelberg, pp.435-444, 2011, Studies in Classification, Data Analysis, and Knowledge Organization, 〈10.1007/978-3-642-13312-1_46〉. 〈hal-00656675〉
  • Barbara Hammer, Alexander Hasenfuß, Fabrice Rossi. Median topographic maps for biomedical data sets. Villmann, Th.; Biehl, M.; Hammer, B.; Verleysen, M. Similarity-Based Clustering, Springer Berlin / Heidelberg, pp.92-117, 2009, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-01805-3_6⟩. ⟨hal-00413148⟩
  • Michel Verleysen, Fabrice Rossi, Damien François. Advances in Feature Selection with Mutual Information. Villmann, Th.; Biehl, M.; Hammer, B.; Verleysen, M. Similarity-Based Clustering, Springer Berlin / Heidelberg, pp.52-69, 2009, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-01805-3_4⟩. ⟨hal-00413154⟩
  • Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A.T. De Carvahlo. Clustering Dynamic Web Usage Data. Nedjah, Nadia and de Macedo Mourelle, Luiza and Kacprzyk, Janusz. Innovative Applications in Data Mining, Springer Berlin Heidelberg, pp.71-82, 2009, Studies in Computational Intelligence, 〈10.1007/978-3-540-88045-5〉. 〈hal-00656677〉
  • Fabrice Rossi, Brieuc Conan-Guez. Multi-Layer Perceptrons and Symbolic Data. Diday, Edwin and Noirhomme-Fraiture, Monique. Symbolic Data Analysis and the SODAS Software, Wiley, pp.373-391, 2008. ⟨inria-00232878⟩
  • Fabrice Rossi, Nathalie Villa. Recent advances in the use of SVM for functional data classification. Sophie Dabo-Niang, Frédéric Ferraty. Functional and operatorial statistics, Physica-Verlag/Springer, pp.273-280, 2008, Contrib. Statist., ⟨10.1007/978-3-7908-2062-1_41⟩. ⟨hal-00635480⟩

Reports1 document

  • Fabrice Rossi, Brieuc Conan-Guez. Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis. [Research Report] RR-5228, INRIA. 2004, pp.35. ⟨inria-00070768⟩