Fabrice Rossi
Publications
Publications
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Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary CodeThe 13th International Conference on Complex Networks and their Applications, Dec 2024, Istabul, Turkey. pp.135--148, ⟨10.1007/978-3-031-82427-2_12⟩ |
Experimental Study of Binary Diffing Resilience on Obfuscated ProgramsDetection of Intrusions and Malware, and Vulnerability Assessment. DIMVA, Jul 2025, Graz, Austria. pp.223-243, ⟨10.1007/978-3-031-97620-9_13⟩ |
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Mélange de chaînes de Markov d'ordre variable pour l'analyse de séquences55ièmes Journées de Statistique, Société Française de Statistique (SFdS), May 2024, Bordeaux, France |
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Analyse exploratoire de séries temporelles d'utilisation de systèmes électriques par chaînes de Markov d'ordre variable54es Journées de Statistitique de la SFdS, Société Française de Statistique, Jul 2023, Bruxelles (BE), Belgique |
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Challenges in anomaly and change point detection30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Oct 2022, Bruges, Belgium |
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On the expressivity of bi-Lipschitz normalizing flowsACML 2022 - 14th Asian Conference on Machine Learning,, Dec 2022, Hyderabad, India |
On the Roads and Rivers of Late Iron Age Gaul: Challenges in Calibrating Least Cost Path Models27th Annual Meeting of the European Association of Archaeologists, European Association of Archaeologists, Sep 2021, Kiel (Virtual), Germany |
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Stable results from spatial interaction models: was this settlement really popular?CAA 2021 “Digital Crossroads”, Computer Applications and Quantitative Methods in Archaeology, Jun 2021, Limassol, Cyprus |
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Reconstructing Late Iron Age Transport Network from Site PositionsNetworks 2021: A Joint Sunbelt (Sunbelt XLI) and NetSci Conference (NetSci 2021), International Network for Social Network Analysis; Network Science Society, Jul 2021, Bloomington, United States |
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Estimation paramétrique de ruptures dans des données censurées à gaucheJDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France |
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Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing25th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES2021), Aug 2021, Szczecin, Poland. pp.961-970, ⟨10.1016/j.procs.2021.08.099⟩ |
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Sparse mixture of von Mises-Fisher distributionESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, Bruges, Belgium. pp.263-268, ⟨10.14428/esann/2021.ES2021-115⟩ |
Bruit, erreur, anomalie et incertitude dans les donnéesSemaine Data-SHS, PUDD; PROGEDO; MSH Dijon, Dec 2021, Dijon, France. ⟨10.60527/7rm7-gp89⟩ |
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Construction d'histogrammes irréguliers par maximum de vraisemblance pénaliséJDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France |
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Adding semantic to level-up graph-based Android malware detectionThe 10th International Conference on Complex Networks and their Applications (Complex Networks 2021), Nov 2021, Madrid, Spain. pp.235-237 |
On the calibration of least cost path models: a large-scale simulation of boat and wagon transport in late Iron Age Gaul.CAA 2021 “Digital Crossroads”, Computer Applications and Quantitative Methods in Archaeology, Jun 2021, Limassol, Cyprus |
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Federated Learning - Methods, Applications and beyondESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, Online event (Bruges), Belgium. pp.1-10, ⟨10.14428/esann/2021.ES2021-4⟩ |
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Binary Diffing as a Network Alignment Problem via Belief Propagation36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), IEEE; ACM, Nov 2021, Melbourne, Australia. pp.967-978, ⟨10.1109/ASE51524.2021.9678782⟩ |
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Pénalisation l 1 pour un mélange de lois de von Mises-FisherJDS 2021, Jun 2021, Nice, France |
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Un modèle Bayésien de co-clustering de données mixtesExtraction et gestion des connaissances 2018, Jan 2018, Paris, France. pp.275-280 |
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Application du coclustering à l'analyse exploratoire d'une table de donnéesConférence Internationale Francophone sur l'Extraction et gestion des connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.177-188 |
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Accelerating stochastic kernel SOMXXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 6 p |
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Co-clustering de données mixtes à base des modèles de mélangeConférence Internationale Francophone sur l'Extraction et gestion des connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.141-152 |
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Accelerating stochastic kernel SOMXXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. pp.269-274 |
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Theoretical and applied aspects of the self-organizing mapsWSOM 2016, Jan 2016, Houston, United States. pp.3-26, ⟨10.1007/978-3-319-28518-4_1⟩ |
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Consistance de la minimisation du risque empirique pour l'optimisation de l'erreur relative moyenne47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France |
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block modelsInternational Conference on Advances in Social Networks Analysis and Mining ASONAM 2015, IEEE/ACM, Aug 2015, Paris, France. pp.1590-1591, ⟨10.1145/2808797.2809348⟩ |
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Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid ModelsEuropean Conference, ECML PKDD 2015, Sep 2015, Porto, Portugal. pp.37 - 52, ⟨10.1007/978-3-319-23461-8_3⟩ |
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block models47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France |
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block modelsFith International Workshop on Social Network Analysis (ARS'15), Apr 2015, Anacapri, Italy. pp.21 |
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Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France |
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Reducing offline evaluation bias of collaborative filtering algorithmsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.137-142 |
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Using the Mean Absolute Percentage Error for Regression ModelsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium |
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Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networksEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.225-230 |
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Study of a bias in the offline evaluation of a recommendation algorithm11th Industrial Conference on Data Mining, ICDM 2015, Jul 2015, Hamburg, Germany. pp.57-70 |
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Lasso based feature selection for malaria risk exposure predictionMachine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany |
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Search Strategies for Binary Feature Selection for a Naive Bayes ClassifierEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296 |
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Is the corporate elite disintegrating? Interlock boards and the Mizruchi hypothesisIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), IEEE/ACM, Aug 2015, Paris, France. pp.781-786, ⟨10.1145/2808797.2808890⟩ |
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Graphs in machine learning: an introductionEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.207-218 |
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Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid ModelsEuropean 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⟩ |
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A Methodology for the Diagnostic of Aircraft Engine Based on Indicators AggregationProceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩ |
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Anomaly Detection Based on Indicators AggregationInternational Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩ |
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Reducing Offline Evaluation Bias in Recommendation Systems23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.55-62 |
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Anomaly Detection Based on Aggregation of Indicators23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71 |
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Regularization in Relevance Learning Vector Quantization Using l one Norms21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. pp.17-22 |
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Étude des corrélations spatio-temporelles des appels mobiles en FranceExtraction et Gestion des Connaissances, Jan 2013, Toulouse, France. pp.437-448 |
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Activity date estimation in timestamped interaction networks21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. pp.113-118 |
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Classifications croisées de données de trajectoires contraintesExtraction et Gestion des Connaissances, Jan 2013, Toulouse, France. pp.341-352 |
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Inférence de dates d'activité à partir d'un réseau d'interactions datées45èmes Journées de Statistique, May 2013, Toulouse, France. pp.JdS |
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Clustering par optimisation de la modularité pour trajectoires d'objets mobilesUbimob'12, Jun 2012, Anglet, France. pp.12-22 |
Exploration relationnelle d'un corpus d'actes notariés médiévauxColloque Configuration(s), Jun 2012, Paris, France |
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Modularity-Based Clustering for Network-Constrained Trajectories20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.471-476 |
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A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.477-482 |
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Clustering hiérarchique non paramétrique de données fonctionnellesExtraction et gestion des connaissances, Jan 2012, Bordeaux, France. pp.101--112 |
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A Triclustering Approach for Time Evolving GraphsCo-clustering and Applications International Conference on Data Mining Workshop, Dec 2012, Brussels, Belgium. pp.115-122, ⟨10.1109/ICDMW.2012.61⟩ |
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Graph-Based Approaches to Clustering Network-Constrained Trajectory DataWorkshop on New Frontiers in Mining Complex Patterns (NFMCP 2012), held at ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. pp.184-195 |
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Dissimilarity Clustering by Hierarchical Multi-Level Refinement20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.483-488 |
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Triclustering pour la détection de structures temporelles dans les graphes3ième conférence sur les modèles et l'analyse des réseaux : Approches mathématiques et informatiques (MARAMI 2012), Oct 2012, Villetaneuse, France |
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Visual Mining of Epidemic NetworksInternational Work Conference on Artificial Neural Networks, Jun 2011, Torremolinos, Spain. pp.276-283, ⟨10.1007/978-3-642-21498-1_35⟩ |
Exploration of a Large Database of French Charters with Social Network MethodsInternational Medieval Congress (IMC 2011), Jul 2011, Leeds, United Kingdom |
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Segmentation géographique par étude d'un journal d'appels téléphoniques2ième Journée thématique : Fouille de grands graphes, Oct 2011, Grenoble, France |
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Hierarchical clustering for graph visualizationEuropean Symposium on Artificial Neural Networks (ESANN 2011), Apr 2011, Bruges, Belgium. pp.227-232 |
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The structure of a gene network reveals 7 biological sub-graphs underlying eQTLs in pigWorld Congress on Genetics Applied to Livestock Production, Aug 2010, Leipzig, Germany. pp.0147 |
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Classification and regression based on derivatives : a consistency resultII Simposio sobre Modelamiento Estadístico, Dec 2010, Valparaiso, Chile |
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Méthode de classification organisée pour la recherche de communautés dans les réseaux sociaux41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
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 |
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Topologically Ordered Graph Clustering via Deterministic AnnealingEuropean Symposium on Artificial Neural Networks, Apr 2009, Bruges, Belgium. pp.529-534 |
From intracardiac electrograms to electrocardiograms. Models and metamodelsFunctional Imaging and Modeling of the Heart, 2009, Nice, France. pp.524-533 |
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Consistency of Derivative Based Functional Classifiers on Sampled DataESANN 2008, 16th European Symposium on Artificial Neural Networks, Apr 2008, Bruges, Belgium. pp.445-450 |
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Mining a medieval social network by kernel SOM and related methodsMASHS 2008 (Modèles et Apprentissages en Sciences Humaines et Sociales), Jun 2008, Créteil, France |
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A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graphWSOM'07 - Workshop on Self-Organizing Maps, Sep 2007, Bielefeld, Germany. pp.WeP-1 |
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SVM fonctionnels par interpolation splineJournée de Statistique de la SFdS, Société Française de Statistique, May 2006, Clamart (FR), France |
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Support Vector Machine For Functional Data ClassificationXIIIth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2005), Apr 2005, Bruges, Belgium. pp.467-472 |
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Classification in Hilbert Spaces with Support Vector MachinesXIth International Symposium on Applied Stochastic Models and Data Analysis (ASMDA 2005), May 2005, Brest, France. pp.635-642 |
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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⟩ |
Comparaison de représentations de textes en vue d'une analyse exploratoireEGC 2021, Jan 2021, Montpellier, France |
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Network Methods and PropertiesBrughmans, Tom; Mills, Barbara J.; Munson, Jessica; Peeples, Matthew A. The Oxford Handbook of Archaeological Network Research, Oxford University Press, pp.15-33, 2023, ⟨10.1093/oxfordhb/9780198854265.013.1⟩ |
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Co-clustering based exploratory analysis of mixed-type data tablesAdvances in Knowledge Discovery and Management, 834, Springer International Publishing, pp.23-41, 2019, Studies in Computational Intelligence, ⟨10.1007/978-3-030-18129-1_2⟩ |
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Model Based Co-clustering of Mixed Numerical and Binary DataAdvances in Knowledge Discovery and Management, 834, Springer International Publishing, pp.3-22, 2019, Studies in Computational Intelligence, ⟨10.1007/978-3-030-18129-1_1⟩ |
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Méthodes pour l’apprentissage de données massivesApprentissage Statistique et Données Massives, Editions Technip, pp.536, 2018, 9782710811824 |
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A Study of the Spatio-Temporal Correlations in Mobile Calls NetworksFabrice 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⟩ |
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Co-Clustering Network-Constrained Trajectory DataFabrice 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⟩ |
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Nonparametric Hierarchical Clustering of Functional DataGuillet, 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⟩ |
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Graph-Based Approaches to Clustering Network-Constrained Trajectory DataAppice, 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⟩ |
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Dissemination of Health Information within Social NetworksVedres, Balázs and Scotti, Marco. Networks in Social Policy Problems, Cambridge University Press, pp.15-46, 2012, 9781107009837 |
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Constrained variable clustering and the best basis problem in functional data analysisBernard 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⟩ |
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Median topographic maps for biomedical data setsVillmann, 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⟩ |
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Clustering Dynamic Web Usage DataNedjah, 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⟩ |
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Advances in Feature Selection with Mutual InformationVillmann, 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⟩ |
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Multi-Layer Perceptrons and Symbolic DataDiday, Edwin and Noirhomme-Fraiture, Monique. Symbolic Data Analysis and the SODAS Software, Wiley, pp.373-391, 2008 |
Recent advances in the use of SVM for functional data classificationSophie 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⟩ |
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Variables selection by the LASSO method. Application to malaria data of Tori-Bossito (Benin)2016 |
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Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis[Research Report] RR-5228, INRIA. 2004, pp.35 |
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A mathematical model for feed-forward neural networks : theoretical description and parallel applications.[Research Report] LIP RR-1995-23, Laboratoire de l'informatique du parallélisme. 1995, 2+12p |