Sébastien Adam
Présentation
Essai de CV HAL
Publications
Publications
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GRAMMAR REINFORCEMENT LEARNING: PATH AND CYCLE COUNTING IN GRAPHS WITH A CONTEXT-FREE GRAMMAR AND TRANSFORMER APPROACHThe Thirteenth International Conference on Learning Representations, Apr 2025, Singapour, Singapore |
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3-WL GNNs for Metric Learning on GraphsESANN 2025, Apr 2025, Brugges, Belgium |
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Grammatical Path Network: Unveiling Cycles Through Path ComputationInternational Workshop on Graph-Based Representations in Pattern Recognition (GBr 2025), Jun 2025, Caen, France. pp.124-133, ⟨10.1007/978-3-031-94139-9_12⟩ |
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Inductive Anomaly Detection in Dynamic Graphs with Accumulative Causal Walk Alignment21st International Workshop on Mining and Learning with Graphs, Sep 2024, Vilnius, Lithuania |
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DspGNN : Une Approche Spectrale de Réseau de Neurones sur Graphes Dynamiques pour la régression des arêtesExtraction et Gestion de Connaissances (EGC), Jan 2024, Dijon, France |
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G 2 N 2 : Weisfeiler and Lehman go grammaticalThe Twelfth International Conference on Learning Representations, May 2024, Vienne (AUT), France |
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Grammatical Path Network: You want cycles, follow this pathLearning on Graphs Conference, Nov 2024, Virtual conference, France |
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Temporal receptive field in dynamic graph learning: A comprehensive analysisMLG Workshop at ECML-PKDD, Sep 2024, Vilnius (Lituanie), France |
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DspGNN: Bringing Spectral Design to Discrete Time Dynamic Graph Neural Networks for Edge RegressionTemporal Graph Learning Workshop@NeurIPS, 2023, New orleans, USA, France |
Real-Time Multimodal Emotion Recognition in Conversation for Multi-Party InteractionsInternational Conference on Multimodal Interaction (ICMI), Nov 2022, Bengaluru (India), France. pp.395-403 |
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Real-Time Multimodal Emotion Recognition in Conversation for Multi-Party InteractionsICMI '22: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Nov 2022, Bengaluru India, France. pp.395 - 403, ⟨10.1145/3536221.3556601⟩ |
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Breaking the Limits of Message Passing Graph Neural NetworksProceedings of the 38th International Conference on Machine Learning (ICML), Jul 2021, Vienna, Austria. pp.599-608 |
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Exploitation de Big Data Historiques pour les Humanités Numériques : application aux données financières HBDEXNUMÉRIQUE ET PATRIMOINE Enjeux et questions actuels, Mar 2021, Paris / Virtual, France |
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Analyzing the Expressive Power of Graph Neural Networks in a Spectral PerspectiveProceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria |
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Data extraction and matching The EurHisFirm experienceMethodological Advances in the Extraction and Analysis of Historical Data, Kellogg School of Management - Northwestern University, Dec 2021, Chicago/Virtual, United States |
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When Spectral Domain Meets Spatial Domain in Graph Neural NetworksThirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria |
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Spectral-designed depthwise separable graph neural networksProceedings of Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria |
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Graph Neural Network for Symbol Detection on Document Images13th IAPR International Workshop on Graphics Recognition, Sep 2019, Sydney, Australia |
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Big-data historique : modélisation de stratégies d'analyse de collections de documentSIFED : Symposium International Francophone sur l’Ecrit et le Document, Jun 2019, Nancy, France |
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Apprentissage profond pour l'approximation d'une distance d'édition entre graphesConférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France |
Deep Multi-Task Learning with evolving weightsEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2016, Brugge, Belgium |
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Exact Graph Edit Distance Computation Using a Binary Linear ProgramStructural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings, 2016, Unknown, Unknown Region. pp.485--495, ⟨10.1007/978-3-319-49055-7_43⟩ |
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Localisation automatique de champs de saisie sur des images de formulaires couleur par isomorphisme de sous-grapheCORIA-CIFED, Mar 2016, Toulouse, France |
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ROC-based cost-sensitive classification with a reject option23rd IEEE International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7900146⟩ |
Learning Structured Output Dependencies Using Deep Neural NetworksDeep Learning Workshop at International Conference on Machine Learning, Jul 2015, Lille, France |
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One-shot field spotting on colored forms using subgraph isomorphismInternational Conference on Document Analysis and Recognition, Aug 2015, Tunis, Tunisia. ⟨10.1109/ICDAR.2015.7333829⟩ |
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One-shot field spotting on colored forms using subgraph isomorphismInternational Conference on Document Analysis and Recognition, 2015, Nancy, France. pp.586-590, ⟨10.1109/ICDAR.2015.7333829⟩ |
A Unified Neural Based Model for Structured Output ProblemsConférence sur l'APprentissage automatique, Jul 2015, Villeneuve d'Ascq, France |
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GEM++: A Tool for Solving Substitution-Tolerant Subgraph IsomorphismInternational Worksop on Graph-based Representation in Pattern Recognition, 2015, Pékin, China. pp.128-137, ⟨10.1007/978-3-319-18224-7_13⟩ |
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Apprentissage multiclasse en environnement incertainSociété Francophone de Classification, Sep 2014, Rabat, Maroc |
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Extraction de zones informatives dans des images de formulaire en couleurColloque International Francophone sur l'Ecrit et le Document, 2014, Nancy, France. pp.171-184 |
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Datasets for the Evaluation of Substitution-Tolerant Subgraph IsomorphismIAPR International Workshop on Graphics Recognition, Aug 2013, Bethlehem, United States. pp.240 - 251, ⟨10.1007/978-3-662-44854-0_19⟩ |
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Learning to Detect Tables in Scanned Document Images using Line InformationInternation conférence on document analysis and recognition, Aug 2013, Washington, United States. pp.1185 - 1189, ⟨10.1109/ICDAR.2013.240⟩ |
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A typed and handwritten text block segmentation system for heterogeneous and complex documentsDocument Analysis Systems, Apr 2014, Tours, France. 6p |
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Datasets for the Evaluation of Substitution-Tolerant Subgraph IsomorphismIAPR International Workshop on Graphics Recognition, 2013, Lehigh, France |
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Learning to Detect Tables in Scanned Document Images using Line InformationICDAR, 2013, France. pp.1185-1189 |
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Apprentissage par renforcement pour la recherche d'information interactiveJournées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes, Jun 2011, France. pp.Actes électroniques |
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Évaluation d'outils de reformulation interactive de requêtesConférence en Recherche d'Information et Applications, Mar 2010, Tunisie. pp.223-238 |
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A Study of Strength and Correlation in Random ForestsInternational Conference on Intelligent Computing, Aug 2010, Changsha, China. pp.186-191, ⟨10.1007/978-3-642-14831-6_25⟩ |
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Programmation linéaire en nombres entiers pour la recherche d'isomorphisme de sous-graphe : Application à la recherche de symboles graphiquesColloque International Francophone sur l'Écrit et le Document - CIFED 2010, Mar 2010, Sousse, Tunisie. pp.153-168 |
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Towards a better understanding of random forests through the study of strength and correlation5th International Conference on Intelligent Computing (ICIC), Sep 2009, Ulsan, South Korea. pp.536-545, ⟨10.1007/978-3-642-04020-7_57⟩ |
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Une étude sur la paramétrisation des Forêts Aléatoires11ème Conférence francophone sur l'Apprentissage Artificiel (CAp), May 2009, Hammamet, Tunisie. pp.81-92 |
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Influence of Hyperparameters on Random Forest AccuracyInternational Workshop on Multiple Classifier Systems (MCS), Jun 2009, Reykjavik, Iceland. pp.171-180, ⟨10.1007/978-3-642-02326-2_18⟩ |
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Symbol Detection Using Region Adjacency Graphs and Integer Linear ProgrammingInternational Conference on Document Analysis and Recognition, Computer Vision Center, Jul 2009, Barcelona, Spain. 5 p., ⟨10.1109/ICDAR.2009.202⟩ |
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On the selection of decision trees in Random ForestsIEEE International Joint Conference on Neural Networks (IJCNN), Jun 2008, Atlanta, United States. pp.302-307, ⟨10.1109/IJCNN.2009.5178693⟩ |
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Optimisation multi-objectif pour la sélection de modèles SVMReconnaissance des Formes et Intelligence Artificielle (RFIA'08), Jan 2008, France. pp.67-72 |
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Forest-RK: A New Random Forest Induction Method4th International Conference on Intelligent Computing (ICIC), Sep 2008, Shanghai, China. pp.430-437, ⟨10.1007/978-3-540-85984-0_52⟩ |
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Formulations linéaires en nombres entiers pour des problèmes d'isomorphisme exact et inexactJournées Polyèdres et Optimisation Combinatoire (JPOC'08), Jun 2008, France |
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Etude de l'influence des paramètres sur les performances des forêts aléatoires10ème Colloque International Francophone sur l'Ecrit et le Document (CIFED), Oct 2008, Rouen, France. pp.207-208 |
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De la sélection d'arbres de décision dans les forêts aléatoires10ème Colloque International Francophone sur l'Ecrit et le Document (CIFED), Oct 2008, Rouen, France. pp.163-168 |
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Graphes prototypes vs. graphe médian généralisé pour la classification de données structuréesColloque International Francophone sur l'Ecrit et le Document, Oct 2008, France. pp.37-42 |
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Symbol Spotting using Full Visibility Graph RepresentationWorkshop on Graphics Recognition, Jul 2007, Brazil. pp.49-50 |
A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol RecognitionIn Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0, 2007, France. pp.361-370 |
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Multi-Objective Optimization for SVM Model SelectionICDAR, Sep 2007, Curitiba, Brazil. pp.427-431 |
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Using Random Forests for Handwritten Digit Recognition9th IAPR/IEEE International Conference on Document Analysis and Recognition (ICDAR), Sep 2007, Curitiba, Brazil. pp.1043-1047, ⟨10.1109/ICDAR.2007.4377074⟩ |
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Automatic Ground-truth Generation for Document Image Analysis and UnderstandingICDAR, 2007, Brazil. pp.476-480 |
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A simple one class classifier with rejection strategy : application to symbol classificationProceedings of the IAPR International Workshop on Graphics Recognition, 2007, Curitiba, Brazil. pp.35--36 |
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Approximation of Digital Curves using a Multi-Objective Genetic AlgorithmICPR (2), 2006, Hong Kong SAR China. pp.716-719 |
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Using Bags of Symbols for Automatic Indexing of Graphical Document Image DatabasesIAPR International Workshop on Graphics Recognition, 2005, Honk-Kong, Hong Kong SAR China. pp.195-205, ⟨10.1007/11767978_18⟩ |
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Reconnaissance de symboles guidée par une modelisation basée sur les graphes d'adjacenceSep 2006, pp.151-156 |
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Classification de graphes par algorithmes génétiques et signatures de graphes. Application à la reconnaissance de symbolesColloque International Francophone sur l'Ecrit et le Document, Sep 2006, France. pp.91-96 |
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Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol RecognitionICPR (3), 2006, Hong Kong SAR China. pp.296-299 |
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Approximation de courbes par Algorithme Génétique Multi-ObjectifColloque International Francophone sur l'Ecrit et le Document, Sep 2006, France. pp.37-42 |
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Approximation de courbes par Algorithme Génétique Multi-ObjectifCIFED 2006, Sep 2006, France. pp.151-156 |
On defining signatures for the retrieval and the classification of graphical drop capsDocument Image Analysis for Libraries, Apr 2006, France. pp.220-231 |
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Polygonal Approximation of Digital Curves Using a Multi-objective Genetic AlgorithmIAPR International Workshop on Graphics Recognition, 2005, Honk-Kong, Hong Kong SAR China. pp.300-311, ⟨10.1007/11767978_27⟩ |
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Production de vérite terrain pour l'analyse et l'interprétation d'images de documentColloque International Francophone sur l'Ecrit et le Document, Sep 2006, France. pp.67-72 |
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Indexation of Document Images using Frequent ItemsInternational Workshop on Pattern Recognition in Information Systems, 2005, Miami, United States. pp.164-173 |
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Clustering Document Images using a Bag of Symbols RepresentationInternational Conference on Document Analysis and Recognition, 2005, Seoul, South Korea. pp.1216-1220, ⟨10.1109/ICDAR.2005.75⟩ |
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Clustering of Document Images using Graph SummariesMachine Learning and Data Mining, 2005, Germany. pp.194-202, ⟨10.1007/11510888_20⟩ |
DocMining: A Document Analysis System Builder6th IAPR International Workshop on Document Analysis Systems - DAS 2004, 2004, Florence, Italie, pp.472--483 |
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Découverte de motifs fréquents : Application à l'analyse de documents graphiquesJun 2004 |
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Docmining : Une plate-forme de conception de systèmes d'analyse de documentsJun 2004 |
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Détection d'Arcs de Cercle par Comparaison du Tracé Théorique de BresenhamColloque International Francophone sur l’Ecrit et le Document, 2004, La Rochelle, France. pp.285-290 |
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A Statistical and Structural Approach for Symbol Recognition, Using XML ModellingInternational Joint Workshops on Statistical Pattern Recognition and Syntactic and Structural Pattern Recognition, 2002, France. pp.281-290, ⟨10.1007/3-540-70659-3_29⟩ |
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Une approche statistico-structurelle pour la reconnaissance de symboles exploitant une représentation XML des donnéesColloque International Francophone sur l'Ecrit et le Document, 2002, Hammamet, Tunisie. pp.121-128 |
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AgentSlang : une Plateforme pour Systèmes Interactifs Distribués Multi-IncarnationWACAI 2020 - Workshop sur les Affects, Compagnons artificiels et Interactions, Jun 2020, Saint Pierre d'Oléron, France. ⟨10.5220/0004907305960603⟩ |
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A Named Entity Extraction System for Historical Financial DataLecture Notes in Computer Science, 2020, ⟨10.1007/978-3-030-57058-3_23⟩ |
Reconnaissance Graphique : un état des lieuxMullot Rémy. Les documents écrits, Hermès, 2006, traité IC2 |
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Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks2020 |
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Neural Networks Regularization Through Class-wise Invariant Representation Learning2019 |
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Graph edit distance : a new binary linear programming formulation2017 |
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EURHISFIRM - M7.2: Final version of the data extraction system[Research Report] European Union’s Horizon 2020 research and innovation programme. 2021 |
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EurHisFirm M7.1: First version of the data extraction system[Research Report] M7.1, European Union’s Horizon 2020 research and innovation programme. 2021. 2020 |
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Interprétation de Documents Techniques : des Outils à leur Intégration dans un Système à Base de ConnaissancesTraitement du texte et du document. Université de Rouen, 2001. Français. ⟨NNT : ⟩ |
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Documents, Graphes et Optimisation Multi-ObjectifsTraitement du signal et de l'image [eess.SP]. Université de Rouen, 2011 |