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2020 – today
- 2023
[j30]Valentina Zelaya Mendizábal, Marc Boullé, Fabrice Rossi:
Fast and fully-automated histograms for large-scale data sets. Comput. Stat. Data Anal. 180: 107668 (2023)- [j29]Madalina Olteanu, Fabrice Rossi
, Florian Yger:
Meta-survey on outlier and anomaly detection. Neurocomputing 555: 126634 (2023) - [i62]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Meta-survey on outlier and anomaly detection. CoRR abs/2312.07101 (2023) - 2022
- [j28]Fabrice Rossi, Florian Barbaro:
Mixture of von Mises-Fisher distribution with sparse prototypes. Neurocomputing 501: 41-74 (2022) - [c74]Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi:
On the expressivity of bi-Lipschitz normalizing flows. ACML 2022: 1054-1069 - [c73]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Challenges in anomaly and change point detection. ESANN 2022 - [i61]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. CoRR abs/2212.11725 (2022) - [i60]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering based exploratory analysis of mixed-type data tables. CoRR abs/2212.11728 (2022) - [i59]Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif:
Federated Learning - Methods, Applications and beyond. CoRR abs/2212.11729 (2022) - [i58]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. CoRR abs/2212.11737 (2022) - [i57]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Challenges in anomaly and change point detection. CoRR abs/2212.13520 (2022) - [i56]Valentina Zelaya Mendizábal, Marc Boullé, Fabrice Rossi:
Fast and fully-automated histograms for large-scale data sets. CoRR abs/2212.13524 (2022) - [i55]Fabrice Rossi, Florian Barbaro:
Mixture of von Mises-Fisher distribution with sparse prototypes. CoRR abs/2212.14591 (2022) - 2021
- [c72]Florian Barbaro, Fabrice Rossi:
Sparse mixture of von Mises-Fisher distribution. ESANN 2021 - [c71]Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif:
Federated Learning - Methods, Applications and beyond. ESANN 2021 - [c70]Florian Barbaro, Fabrice Rossi:
Comparaison de représentations de textes en vue d'une analyse exploratoire. EGC 2021: 505-506 - [c69]Elie Mengin, Fabrice Rossi:
Binary Diffing as a Network Alignment Problem via Belief Propagation. ASE 2021: 967-978 - [c68]Elie Mengin, Fabrice Rossi:
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing. KES 2021: 961-970 - [i54]Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre:
On the expressivity of bi-Lipschitz normalizing flows. CoRR abs/2107.07232 (2021) - [i53]Elie Mengin, Fabrice Rossi:
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing. CoRR abs/2112.15336 (2021) - [i52]Elie Mengin, Fabrice Rossi:
Binary Diffing as a Network Alignment Problem via Belief Propagation. CoRR abs/2112.15337 (2021) - 2020
- [j27]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Comput. Graph. Forum 39(3): 713-756 (2020)
2010 – 2019
- 2019
- [j26]Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi:
The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. 29(4): 677-695 (2019) - [i51]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. CoRR abs/1902.02056 (2019) - 2018
- [j25]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Discovering patterns in time-varying graphs: a triclustering approach. Adv. Data Anal. Classif. 12(3): 509-536 (2018) - [j24]Marco Corneli, Pierre Latouche, Fabrice Rossi:
Multiple change points detection and clustering in dynamic networks. Stat. Comput. 28(5): 989-1007 (2018) - [c67]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. EGC (best of volume) 2018: 3-22 - [c66]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables. EGC (best of volume) 2018: 23-41 - [c65]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. EGC 2018: 275-280 - [c64]Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou, Fabrice Rossi:
Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. ITSC 2018: 3879-3885 - [i50]Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi:
The State of the Art in Integrating Machine Learning into Visual Analytics. CoRR abs/1802.07954 (2018) - 2017
- [j23]Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi:
The State of the Art in Integrating Machine Learning into Visual Analytics. Comput. Graph. Forum 36(8): 458-486 (2017) - [j22]Aurélia Feugnet, Fabrice Rossi, Clara Filet:
Co-presence Analysis and Economic Patterns: Mediterranean Imports in the Celtic World. Frontiers Digit. Humanit. 4: 1 (2017) - [j21]Kevin Françoisse, Ilkka Kivimäki, Amin Mantrach, Fabrice Rossi, Marco Saerens:
A bag-of-paths framework for network data analysis. Neural Networks 90: 90-111 (2017) - [c63]Jérôme Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Villa-Vialaneix:
Accelerating stochastic kernel SOM. ESANN 2017 - [c62]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi:
Co-clustering de données mixtes à base des modèles de mélange. EGC 2017: 141-152 - [c61]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Application du coclustering à l'analyse exploratoire d'une table de données. EGC 2017: 177-188 - 2016
- [j20]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Mean Absolute Percentage Error for regression models. Neurocomputing 192: 38-48 (2016) - [j19]Marco Corneli, Pierre Latouche, Fabrice Rossi:
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks. Neurocomputing 192: 81-91 (2016) - [j18]Marco Corneli, Pierre Latouche, Fabrice Rossi:
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL. Soc. Netw. Anal. Min. 6(1): 55:1-55:14 (2016) - [c60]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix:
Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM 2016: 3-26 - [i49]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach. CoRR abs/1608.07929 (2016) - 2015
- [j17]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
A statistical network analysis of the HIV/AIDS epidemics in Cuba. Soc. Netw. Anal. Min. 5(1): 58:1-58:14 (2015) - [c59]Kevin Mentzer, François-Xavier Dudouet, Dominique Haughton, Pierre Latouche, Fabrice Rossi:
Is the corporate elite disintegrating?: Interlock boards and the Mizruchi hypothesis. ASONAM 2015: 781-786 - [c58]Marco Corneli, Pierre Latouche, Fabrice Rossi:
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. ASONAM 2015: 1590-1591 - [c57]Marco Corneli, Pierre Latouche, Fabrice Rossi:
Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks. ESANN 2015 - [c56]Pierre Latouche, Fabrice Rossi:
Graphs in machine learning. An introduction. ESANN 2015 - [c55]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Using the Mean Absolute Percentage Error for Regression Models. ESANN 2015 - [c54]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Reducing offline evaluation bias of collaborative filtering. ESANN 2015 - [c53]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN 2015 - [c52]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Study of a Bias in the Offline Evaluation of a Recommendation Algorithm. ICDM (Posters) 2015: 57-70 - [c51]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. ECML/PKDD (3) 2015: 37-52 - [i48]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR abs/1503.05526 (2015) - [i47]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. CoRR abs/1503.06060 (2015) - [i46]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Reducing offline evaluation bias of collaborative filtering algorithms. CoRR abs/1506.04135 (2015) - [i45]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Using the Mean Absolute Percentage Error for Regression Models. CoRR abs/1506.04176 (2015) - [i44]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR abs/1506.04177 (2015) - [i43]Pierre Latouche, Fabrice Rossi:
Graphs in machine learning: an introduction. CoRR abs/1506.06962 (2015) - [i42]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. CoRR abs/1510.09005 (2015) - [i41]Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi:
Study of a bias in the offline evaluation of a recommendation algorithm. CoRR abs/1511.01280 (2015) - [i40]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Co-Clustering Network-Constrained Trajectory Data. CoRR abs/1511.01281 (2015) - [i39]Daniel A. Keim, Tamara Munzner, Fabrice Rossi, Michel Verleysen:
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). Dagstuhl Reports 5(3): 1-27 (2015) - 2014
- [j16]Mark J. Embrechts, Fabrice Rossi, Frank-Michael Schleif, John Aldo Lee:
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing 141: 1-2 (2014) - [j15]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. 7(2): 41-62 (2014) - [c50]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly detection based on indicators aggregation. IJCNN 2014: 2548-2555 - [c49]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM 2014: 144-158 - [c48]Fabrice Rossi:
How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need? WSOM 2014: 3-23 - [i38]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
A statistical network analysis of the HIV/AIDS epidemics in Cuba. CoRR abs/1401.6449 (2014) - [i37]Fabrice Rossi:
How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need? CoRR abs/1407.0611 (2014) - [i36]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Nonparametric Hierarchical Clustering of Functional Data. CoRR abs/1407.0612 (2014) - [i35]Arnaud De Myttenaere, Bénédicte Le Grand, Boris Golden, Fabrice Rossi:
Reducing Offline Evaluation Bias in Recommendation Systems. CoRR abs/1407.0822 (2014) - [i34]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly Detection Based on Indicator Aggregation. CoRR abs/1407.0880 (2014) - [i33]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR abs/1408.6214 (2014) - [i32]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly Detection Based on Indicators Aggregation. CoRR abs/1409.4747 (2014) - 2013
- [c47]Martin Riedel, Fabrice Rossi, Marika Kästner, Thomas Villmann:
Regularization in relevance learning vector quantization using l1-norms. ESANN 2013 - [c46]Fabrice Rossi, Pierre Latouche:
Activity Date Estimation in Timestamped Interaction Networks. ESANN 2013 - [c45]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. EGC (best of volume) 2013: 3-17 - [c44]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Co-Clustering Network-Constrained Trajectory Data. EGC (best of volume) 2013: 19-32 - [c43]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Classifications croisées de données de trajectoires contraintes par un réseau routier. EGC 2013: 341-352 - [c42]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Étude des corrélations spatio-temporelles des appels mobiles en France. EGC 2013: 437-448 - [i31]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Triclustering Approach for Time Evolving Graphs. CoRR abs/1301.2659 (2013) - [i30]Fabrice Rossi, Pierre Latouche:
Activity date estimation in timestamped interaction networks. CoRR abs/1310.4914 (2013) - [i29]Martin Riedel, Marika Kästner, Fabrice Rossi, Thomas Villmann:
Regularization in Relevance Learning Vector Quantization Using l one Norms. CoRR abs/1310.5095 (2013) - [i28]Mohamed Khalil El Mahrsi, Fabrice Rossi:
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data. CoRR abs/1310.5249 (2013) - 2012
- [j14]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. Künstliche Intell. 26(4): 373-380 (2012) - [c41]Brieuc Conan-Guez, Fabrice Rossi:
Dissimilarity Clustering by Hierarchical Multi-Level Refinement. ESANN 2012 - [c40]Matthieu Durut, Benoît Patra, Fabrice Rossi:
A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms. ESANN 2012 - [c39]Mohamed Khalil El Mahrsi, Fabrice Rossi:
modularity-based clustering for network-constrained trajectories. ESANN 2012 - [c38]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Nonparametric Hierarchical Clustering of Functional Data. EGC (best of volume) 2012: 15-35 - [c37]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Clustering hiérarchique non paramétrique de données fonctionnelles. EGC 2012: 101-112 - [c36]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Triclustering Approach for Time Evolving Graphs. ICDM Workshops 2012: 115-122 - [c35]Mohamed Khalil El Mahrsi, Fabrice Rossi:
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data. NFMCP 2012: 124-137 - [i27]Fabrice Rossi, Yves Lechevallier:
Constrained variable clustering and the best basis problem in functional data analysis. CoRR abs/1201.0959 (2012) - [i26]Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho:
Clustering Dynamic Web Usage Data. CoRR abs/1201.0963 (2012) - [i25]Brieuc Conan-Guez, Fabrice Rossi:
Dissimilarity Clustering by Hierarchical Multi-Level Refinement. CoRR abs/1204.6509 (2012) - [i24]Mohamed Khalil El Mahrsi, Fabrice Rossi:
Modularity-Based Clustering for Network-Constrained Trajectories. CoRR abs/1205.2172 (2012) - [i23]Matthieu Durut, Benoît Patra, Fabrice Rossi:
A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms. CoRR abs/1205.2282 (2012) - [i22]Mohamed Khalil El Mahrsi, Fabrice Rossi:
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data. CoRR abs/1210.0762 (2012) - [i21]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
Hierarchical clustering for graph visualization. CoRR abs/1210.5693 (2012) - [i20]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
Visual Mining of Epidemic Networks. CoRR abs/1210.5694 (2012) - [i19]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. CoRR abs/1210.6511 (2012) - [i18]Charanpal Dhanjal, Sandrine Blanchemanche, Stéphan Clémençon, Ákos Róna-Tas, Fabrice Rossi:
Dissemination of Health Information within Social Networks. CoRR abs/1211.4235 (2012) - [i17]Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel:
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012) - 2011
- [j13]Fabrice Rossi, Nathalie Villa-Vialaneix:
Consistency of functional learning methods based on derivatives. Pattern Recognit. Lett. 32(8): 1197-1209 (2011) - [c34]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
Hierarchical clustering for graph visualization. ESANN 2011 - [c33]Fabrice Rossi, Matthieu Durut:
Communication Challenges in Cloud K-means. ESANN 2011 - [c32]Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa:
Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN 2011 - [c31]Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
Visual Mining of Epidemic Networks. IWANN (2) 2011: 276-283 - [i16]Charanpal Dhanjal, Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran:
The Evolution of the Cuban HIV/AIDS Network. CoRR abs/1109.2499 (2011) - 2010
- [j12]Georges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi:
Exploratory analysis of functional data via clustering and optimal segmentation. Neurocomputing 73(7-9): 1125-1141 (2010) - [j11]Fabrice Rossi, Nathalie Villa-Vialaneix:
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach. Neurocomputing 73(7-9): 1142-1163 (2010) - [c30]Mohamed Khalil El Mahrsi, Christine Potier, Georges Hébrail, Fabrice Rossi:
Spatiotemporal sampling for trajectory streams. SAC 2010: 1627-1628 - [i15]Georges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi:
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation. CoRR abs/1004.0456 (2010)
2000 – 2009
- 2009
- [c29]Michel Verleysen, Fabrice Rossi, Damien François:
Advances in Feature Selection with Mutual Information. Similarity-Based Clustering 2009: 52-69 - [c28]Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi:
Median Topographic Maps for Biomedical Data Sets. Similarity-Based Clustering 2009: 92-117 - [c27]Bernard Hugueney, Georges Hébrail, Yves Lechevallier, Fabrice Rossi:
Simultaneous Clustering and Segmentation for Functional Data. ESANN 2009 - [c26]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen:
Supervised variable clustering for classification of NIR spectra. ESANN 2009 - [c25]Fabrice Rossi, Nathalie Villa:
Topologically Ordered Graph Clustering via Deterministic Annealing. ESANN 2009 - [c24]Géraldine Ebrard, Miguel A. Fernández, Jean-Frédéric Gerbeau, Fabrice Rossi, Nejib Zemzemi:
From Intracardiac Electrograms to Electrocardiograms: Models and Metamodels. FIMH 2009: 524-533 - [p2]Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho:
Clustering Dynamic Web Usage Data. Innovative Applications in Data Mining 2009: 71-82 - [i14]Michel Verleysen, Fabrice Rossi, Damien François:
Advances in Feature Selection with Mutual Information. CoRR abs/0909.0635 (2009) - [i13]Barbara Hammer, Alexander Hasenfuß, Fabrice Rossi:
Median topographic maps for biomedical data sets. CoRR abs/0909.0638 (2009) - 2008
- [j10]Fabrice Rossi, Michael Biehl, Cecilio Angulo Bahón:
Progress in modeling, theory, and application of computational intelligence. Neurocomputing 71(7-9): 1117-1119 (2008) - [j9]Romain Boulet, Bertrand Jouve, Fabrice Rossi, Nathalie Villa:
Batch kernel SOM and related Laplacian methods for social network analysis. Neurocomputing 71(7-9): 1257-1273 (2008) - [c23]Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi:
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets. ANNPR 2008: 1-12 - [c22]Fabrice Rossi, Nathalie Villa:
Consistency of Derivative Based Functional Classifiers on Sampled Data. ESANN 2008: 445-450 - [i12]Fabrice Rossi, Brieuc Conan-Guez:
Multi-Layer Perceptrons and Symbolic Data. CoRR abs/0802.0251 (2008) - [i11]Brieuc Conan-Guez, Fabrice Rossi:
Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluation. CoRR abs/0802.0252 (2008) - [i10]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. CoRR abs/0802.0287 (2008) - 2007
- [j8]Michael Biehl, Erzsébet Merényi, Fabrice Rossi:
Advances in computational intelligence and learning. Neurocomputing 70(7-9): 1117-1119 (2007) - [j7]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing 70(7-9): 1276-1288 (2007) - [c21]Fabrice Rossi:
Model collisions in the dissimilarity SOM. ESANN 2007: 25-30 - [c20]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen:
Feature clustering and mutual information for the selection of variables in spectral data. ESANN 2007: 157-162 - [c19]Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho:
Construction et analyse de résumés de données évolutives : application aux données d'usage du Web. EGC 2007: 539-544 - [c18]Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho:
Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data. ISDA 2007: 377-380 - [c17]Brieuc Conan-Guez, Fabrice Rossi:
Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound. IWANN 2007: 203-210 - [i9]Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen:
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. CoRR abs/0709.3427 (2007) - [i8]Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli:
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps. CoRR abs/0709.3461 (2007) - [i7]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. CoRR abs/0709.3586 (2007) - [i6]Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi:
Self-organizing maps and symbolic data. CoRR abs/0709.3587 (2007) - [i5]Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen:
Fast Selection of Spectral Variables with B-Spline Compression. CoRR abs/0709.3639 (2007) - [i4]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information. CoRR abs/0709.3640 (2007) - [i3]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen:
Representation of Functional Data in Neural Networks. CoRR abs/0709.3641 (2007) - [i2]Fabrice Rossi, Brieuc Conan-Guez:
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis. CoRR abs/0709.3642 (2007) - 2006
- [j6]Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi:
New Issues in Neurocomputing. Neurocomputing 69(7-9): 625-626 (2006) - [j5]Fabrice Rossi, Nathalie Villa:
Support vector machine for functional data classification. Neurocomputing 69(7-9): 730-742 (2006) - [j4]Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli:
Fast algorithm and implementation of dissimilarity self-organizing maps. Neural Networks 19(6-7): 855-863 (2006) - [j3]Fabrice Rossi, Brieuc Conan-Guez:
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs. Neural Process. Lett. 23(1): 55-70 (2006) - [c16]Fabrice Rossi:
Visual Data Mining and Machine Learning. ESANN 2006: 251-264 - [c15]Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse:
LS-SVM functional network for time series prediction. ESANN 2006: 473-478 - [c14]Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva:
Comparaison de dissimilarité pour l'analyse de l'usage d'un site web. EGC 2006: 409-414 - [c13]Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen:
A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) 2006: 11-20 - [p1]Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva:
Dissimilarities for Web Usage Mining. Data Science and Classification 2006: 39-46 - [i1]Fabrice Rossi, Brieuc Conan-Guez:
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs. CoRR abs/cs/0604001 (2006) - 2005
- [j2]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen:
Representation of functional data in neural networks. Neurocomputing 64: 183-210 (2005) - [j1]Fabrice Rossi, Brieuc Conan-Guez:
Functional multi-layer perceptron: a non-linear tool for functional data analysis. Neural Networks 18(1): 45-60 (2005) - [c12]Fabrice Rossi, Aïcha El Golli, Yves Lechevallier:
Usage Guided Clustering of Web Pages with the Median Self Organizing Map. ESANN 2005: 351-356 - [c11]Nathalie Villa, Fabrice Rossi:
Support Vector Machine For Functional Data Classification. ESANN 2005: 467-472 - [c10]Fabrice Rossi, Yves Lechevallier, Aïcha El Golli:
Visualisation de la perception d'un site web par ses utilisateurs. EGC 2005: 563-574 - 2004
- [c9]Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Golli:
Clustering functional data with the SOM algorithm. ESANN 2004: 305-312 - [c8]Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen:
Functional radial basis function networks. ESANN 2004: 313-318 - [c7]Fabrice Rossi, Brieuc Conan-Guez:
Functional preprocessing for multilayer perceptrons. ESANN 2004: 319-324 - 2002
- [c6]Fabrice Rossi, Brieuc Conan-Guez, François Fleuret:
Theoretical properties of functional Multi Layer Perceptrons. ESANN 2002: 7-12 - [c5]Brieuc Conan-Guez, Fabrice Rossi:
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach. ICANN 2002: 667-672 - 2000
- [c4]Fabrice Rossi, Frédérick Vautrain:
Expert Constrained Clustering: A Symbolic Approach. PKDD 2000: 605-612
1990 – 1999
- 1996
- [c3]Fabrice Rossi:
Second differentials in arbitrary feedforward neural networks. ICNN 1996: 418-423 - 1995
- [c2]Cédric Gégout, Bernard Girau, Fabrice Rossi:
Generic Back-Propagation in Arbitrary FeedForward Neural Networks. ICANNGA 1995: 168-171 - 1994
- [c1]Cédric Gégout, Bernard Girau, Fabrice Rossi:
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks. ICTAI 1994: 95-104
Coauthor Index
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