Fabrice Rossi

Orcid: 0000-0003-4638-1286

According to our database1, Fabrice Rossi authored at least 123 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Meta-survey on outlier and anomaly detection.
Neurocomputing, October, 2023

Fast and fully-automated histograms for large-scale data sets.
Comput. Stat. Data Anal., April, 2023

2022
Mixture of von Mises-Fisher distribution with sparse prototypes.
Neurocomputing, 2022

Challenges in anomaly and change point detection.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

On the expressivity of bi-Lipschitz normalizing flows.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Binary Diffing as a Network Alignment Problem via Belief Propagation.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Comparaison de représentations de textes en vue d'une analyse exploratoire.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Federated Learning - Methods, Applications and beyond.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Sparse mixture of von Mises-Fisher distribution.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations.
Comput. Graph. Forum, 2020

2019
The dynamic stochastic topic block model for dynamic networks with textual edges.
Stat. Comput., 2019

2018
Multiple change points detection and clustering in dynamic networks.
Stat. Comput., 2018

Discovering patterns in time-varying graphs: a triclustering approach.
Adv. Data Anal. Classif., 2018

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Un modèle Bayésien de co-clustering de données mixtes.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables.
Proceedings of the Advances in Knowledge Discovery and Management, 2018

Model Based Co-clustering of Mixed Numerical and Binary Data.
Proceedings of the Advances in Knowledge Discovery and Management, 2018

2017
A bag-of-paths framework for network data analysis.
Neural Networks, 2017

Co-presence Analysis and Economic Patterns: Mediterranean Imports in the Celtic World.
Frontiers Digit. Humanit., 2017

The State of the Art in Integrating Machine Learning into Visual Analytics.
Comput. Graph. Forum, 2017

Co-clustering de données mixtes à base des modèles de mélange.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Application du coclustering à l'analyse exploratoire d'une table de données.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Accelerating stochastic kernel SOM.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL.
Soc. Netw. Anal. Min., 2016

Mean Absolute Percentage Error for regression models.
Neurocomputing, 2016

Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks.
Neurocomputing, 2016

Theoretical and Applied Aspects of the Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

2015
A statistical network analysis of the HIV/AIDS epidemics in Cuba.
Soc. Netw. Anal. Min., 2015

Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101).
Dagstuhl Reports, 2015

Reducing offline evaluation bias of collaborative filtering algorithms.
CoRR, 2015

Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Study of a Bias in the Offline Evaluation of a Recommendation Algorithm.
Proceedings of the Advances in Data Mining, 15th Industrial Conference, 2015

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Reducing offline evaluation bias of collaborative filtering.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Using the Mean Absolute Percentage Error for Regression Models.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Graphs in machine learning. An introduction.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Is the corporate elite disintegrating?: Interlock boards and the Mizruchi hypothesis.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Modelling time evolving interactions in networks through a non stationary extension of stochastic block models.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation.
Trans. Mach. Learn. Data Min., 2014

Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013).
Neurocomputing, 2014

Anomaly Detection Based on Indicator Aggregation.
CoRR, 2014

Reducing Offline Evaluation Bias in Recommendation Systems.
CoRR, 2014

How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need?
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2014

Anomaly detection based on indicators aggregation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Regularization in Relevance Learning Vector Quantization Using l one Norms.
CoRR, 2013

Co-Clustering Network-Constrained Trajectory Data.
Proceedings of the Advances in Knowledge Discovery and Management, 2013

Classifications croisées de données de trajectoires contraintes par un réseau routier.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

A Study of the Spatio-Temporal Correlations in Mobile Calls Networks.
Proceedings of the Advances in Knowledge Discovery and Management, 2013

Étude des corrélations spatio-temporelles des appels mobiles en France.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Activity Date Estimation in Timestamped Interaction Networks.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Regularization in relevance learning vector quantization using l1-norms.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Neural Networks for Complex Data.
Künstliche Intell., 2012

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081).
Dagstuhl Reports, 2012

Dissemination of Health Information within Social Networks
CoRR, 2012

Clustering Dynamic Web Usage Data
CoRR, 2012

Constrained variable clustering and the best basis problem in functional data analysis
CoRR, 2012

Graph-Based Approaches to Clustering Network-Constrained Trajectory Data.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

A Triclustering Approach for Time Evolving Graphs.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Nonparametric Hierarchical Clustering of Functional Data.
Proceedings of the Advances in Knowledge Discovery and Management, 2012

Clustering hiérarchique non paramétrique de données fonctionnelles.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

modularity-based clustering for network-constrained trajectories.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Dissimilarity Clustering by Hierarchical Multi-Level Refinement.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Consistency of functional learning methods based on derivatives.
Pattern Recognit. Lett., 2011

The Evolution of the Cuban HIV/AIDS Network
CoRR, 2011

Visual Mining of Epidemic Networks.
Proceedings of the Advances in Computational Intelligence, 2011

Seeing is believing: The importance of visualization in real-world machine learning applications.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Communication Challenges in Cloud K-means.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Hierarchical clustering for graph visualization.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach.
Neurocomputing, 2010

Exploratory analysis of functional data via clustering and optimal segmentation.
Neurocomputing, 2010

Spatiotemporal sampling for trajectory streams.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
Clustering Dynamic Web Usage Data.
Proceedings of the Innovative Applications in Data Mining, 2009

From Intracardiac Electrograms to Electrocardiograms: Models and Metamodels.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

Topologically Ordered Graph Clustering via Deterministic Annealing.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Supervised variable clustering for classification of NIR spectra.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Simultaneous Clustering and Segmentation for Functional Data.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Advances in Feature Selection with Mutual Information.
Proceedings of the Similarity-Based Clustering, 2009

Median Topographic Maps for Biomedical Data Sets.
Proceedings of the Similarity-Based Clustering, 2009

2008
Progress in modeling, theory, and application of computational intelligence.
Neurocomputing, 2008

Batch kernel SOM and related Laplacian methods for social network analysis.
Neurocomputing, 2008

A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
CoRR, 2008

Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluation
CoRR, 2008

Multi-Layer Perceptrons and Symbolic Data
CoRR, 2008

Consistency of Derivative Based Functional Classifiers on Sampled Data.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Resampling methods for parameter-free and robust feature selection with mutual information.
Neurocomputing, 2007

Advances in computational intelligence and learning.
Neurocomputing, 2007

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis
CoRR, 2007

Fast Selection of Spectral Variables with B-Spline Compression
CoRR, 2007

Self-organizing maps and symbolic data
CoRR, 2007

Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités
CoRR, 2007

Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
CoRR, 2007

Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound.
Proceedings of the Computational and Ambient Intelligence, 2007

Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Construction et analyse de résumés de données évolutives : application aux données d'usage du Web.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Model collisions in the dissimilarity SOM.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Feature clustering and mutual information for the selection of variables in spectral data.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Dissimilarities for Web Usage Mining.
Proceedings of the Data Science and Classification, 2006

Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs.
Neural Process. Lett., 2006

Fast algorithm and implementation of dissimilarity self-organizing maps.
Neural Networks, 2006

New Issues in Neurocomputing.
Neurocomputing, 2006

Support vector machine for functional data classification.
Neurocomputing, 2006

A Functional Approach to Variable Selection in Spectrometric Problems.
Proceedings of the Artificial Neural Networks, 2006

Comparaison de dissimilarité pour l'analyse de l'usage d'un site web.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Visual Data Mining and Machine Learning.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

LS-SVM functional network for time series prediction.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Functional multi-layer perceptron: a non-linear tool for functional data analysis.
Neural Networks, 2005

Representation of functional data in neural networks.
Neurocomputing, 2005

Visualisation de la perception d'un site web par ses utilisateurs.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Usage Guided Clustering of Web Pages with the Median Self Organizing Map.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
Clustering functional data with the SOM algorithm.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Functional preprocessing for multilayer perceptrons.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Functional radial basis function networks.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2002
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach.
Proceedings of the Artificial Neural Networks, 2002

Theoretical properties of functional Multi Layer Perceptrons.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2000
Expert Constrained Clustering: A Symbolic Approach.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1996
Second differentials in arbitrary feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Generic Back-Propagation in Arbitrary FeedForward Neural Networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks.
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994


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