Processing of the Connected Shapes in Raster-to-Vector Conversion Process. - Sébastien Adam; Rémy Mullot; Jean-Marc Ogier; Claude Cariou; Joël Gardes; Yves Lecourtier (GREC, 1999)

Combination of Invariant Pattern Recognition Primitives on Technical Documents. - Sébastien Adam; Jean-Marc Ogier; Claude Cariou; Joël Gardes; Rémy Mullot; Yves Lecourtier (GREC, 1999)

Multi-scaled and Multi-oriented Character Recognition: An Original Strategy. - Sébastien Adam; Jean-Marc Ogier; Claude Cariou; Rémy Mullot; Joël Gardes; Yves Lecourtier (ICDAR, 1999)

Similitude Invariant Pattern Recognition on Technical Documents. - Jean-Marc Ogier; Claude Cariou; Sébastien Adam; Joël Gardes; Rémy Mullot; Yves Lecourtier (ICIP (1), 1999)

A Multiscale and Multiorientation Recognition Technique Applied to Document Interpretation: Application to the French Telephone Network Maps. - Claude Cariou; Jean-Marc Ogier; Sébastien Adam; Rémy Mullot; Yves Lecourtier; Joël Gardes (Int. J. Pattern Recognit. Artif. Intell., 1999)

Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform. - Sébastien Adam; Jean-Marc Ogier; Claude Cariou; Rémy Mullot; Joël Gardes; Jacques Labiche (SSPR/SPR, 2000)

Symbol and character recognition: application to engineering drawings. - Sébastien Adam; Jean-Marc Ogier; Claude Cariou; Rémy Mullot; Jacques Labiche; Joël Gardes (Int. J. Document Anal. Recognit., 2000)

A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation. - Sébastien Adam; Jean-Marc Ogier; Claude Cariou; Joël Gardes (GREC, 2001)

A multi-scale and multi-orientation recognition technique applied to document interpretation application to french telephone network maps. - Sébastien Adam; F. Rousseau; Jean-Marc Ogier; Claude Cariou; Rémy Mullot; Jacques Labiche; Joël Gardes (ICASSP, 2001)

Interprétation de Documents Techniques : des Outils à leur Intégration dans un Système à Base de Connaissances. - Sébastien Adam (2001)

A Statistical and Structural Approach for Symbol Recognition, Using XML Modelling. - Mathieu Delalandre; Pierre Héroux; Sébastien Adam; Éric Trupin; Jean-Marc Ogier (SSPR/SPR, 2002)

Knowledge Representation and Acquisition for Engineering Document Analysis. - Youssouf Saidali; Sébastien Adam; Jean-Marc Ogier; Éric Trupin; Jacques Labiche (GREC, 2003)

A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation. - Sébastien Adam; Jean-Marc Ogier; Éric Trupin; Rémy Mullot (PRIS, 2003)

DocMining: A Document Analysis System Builder. - Sébastien Adam; Maurizio Rigamonti; Eric Clavier; Éric Trupin; Jean-Marc Ogier; Karl Tombre; Joël Gardes (Document Analysis Systems, 2004)

Fouille de graphes et découverte de règles d'association : application à l'analyse d'images de document. - Eugen Barbu; Pierre Héroux; Sébastien Adam; Éric Trupin (EGC, 2005)

Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases. - Eugen Barbu; Pierre Héroux; Sébastien Adam; Éric Trupin (GREC, 2005)

Symbol Recognition Combining Vectorial and Statistical Features. - Hervé Locteau; Sébastien Adam; Éric Trupin; Jacques Labiche; Pierre Héroux (GREC, 2005)

Polygonal Approximation of Digital Curves Using a Multi-objective Genetic Algorithm. - Hervé Locteau; Romain Raveaux; Sébastien Adam; Yves Lecourtier; Pierre Héroux; Éric Trupin (GREC, 2005)

Clustering document images using a bag of symbols representation. - Eugen Barbu; Pierre Héroux; Sébastien Adam; Éric Trupin (ICDAR, 2005)

Clustering Document Images Using Graph Summaries. - Eugen Barbu; Pierre Héroux; Sébastien Adam; Éric Trupin (MLDM, 2005)

Indexation of Document Images Using Frequent Items. - Eugen Barbu; Pierre Héroux; Sébastien Adam; Éric Trupin (PRIS, 2005)

On defining signatures for the retrieval and the classification of graphical drop caps. - Rudolf Pareti; Nicole Vincent; Surapong Uttama; Jean-Marc Ogier; Jean-Pierre Salmon; Salvatore Tabbone; Laurent Wendling; Sébastien Adam (DIAL, 2006)

Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition. - Eugen Barbu; Romain Raveaux; Hervé Locteau; Sébastien Adam; Pierre Héroux; Éric Trupin (ICPR (3), 2006)

Approximation of Digital Curves using a Multi-Objective Genetic Algorithm. - Hervé Locteau; Romain Raveaux; Sébastien Adam; Yves Lecourtier; Pierre Héroux; Éric Trupin (ICPR (2), 2006)

A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition. - Romain Raveaux; Eugen Barbu; Hervé Locteau; Sébastien Adam; Pierre Héroux; Éric Trupin (GbRPR, 2007)

Using Random Forests for Handwritten Digit Recognition. - Simon Bernard 001; Sébastien Adam; Laurent Heutte (ICDAR, 2007)

Multi-Objective Optimization for SVM Model Selection. - Clément Chatelain 001; Sébastien Adam; Yves Lecourtier; Laurent Heutte; Thierry Paquet (ICDAR, 2007)

Automatic Ground-truth Generation for Document Image Analysis and Understanding. - Pierre Héroux; Eugen Barbu; Sébastien Adam; Éric Trupin (ICDAR, 2007)

A general framework for the evaluation of symbol recognition methods. - Ernest Valveny; Philippe Dosch; Adam C. Winstanley; Yu Zhou; Su Yang 001; Yan Luo 005; Wenyin Liu; Dave Elliman; Mathieu Delalandre; Éric Trupin; Sébastien Adam; Jean-Marc Ogier (Int. J. Document Anal. Recognit., 2007)

Forest-RK: A New Random Forest Induction Method. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (2), 2008)

Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming. - Pierre Le Bodic; Hervé Locteau; Sébastien Adam; Pierre Héroux; Yves Lecourtier; Arnaud Knippel (ICDAR, 2009)

Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (2), 2009)

On the selection of decision trees in Random Forests. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (IJCNN, 2009)

Influence of Hyperparameters on Random Forest Accuracy. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (MCS, 2009)

Évaluation d'outils de reformulation interactive de requêtes. - Aurélien Saint-Réquier; Gérard Dupont; Sébastien Adam; Yves Lecourtier (CORIA, 2010)

A Study of Strength and Correlation in Random Forests. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (3), 2010)

A step toward an adaptive composition of query suggestion approaches. - Gérard Dupont; Aurélien Saint-Réquier; Sébastien Adam; Yves Lecourtier; Bruno Grilhères; Stephan Brunessaux (IIiX, 2010)

Noncost Sensitive SVM Training Using Multiple Model Selection. - Clément Chatelain 001; Sébastien Adam; Yves Lecourtier; Laurent Heutte; Thierry Paquet (J. Circuits Syst. Comput., 2010)

A multi-model selection framework for unknown and/or evolutive misclassification cost problems. - Clément Chatelain 001; Sébastien Adam; Yves Lecourtier; Laurent Heutte; Thierry Paquet (Pattern Recognit., 2010)

Documents, Graphes et Optimisation Multi-Objectifs. (Documents, graphs and multiobjective optimization). - Sébastien Adam (2011)

Learning graph prototypes for shape recognition. - Romain Raveaux; Sébastien Adam; Pierre Héroux; Éric Trupin (Comput. Vis. Image Underst., 2011)

An integer linear program for substitution-tolerant subgraph isomorphism and its use for symbol spotting in technical drawings. - Pierre Le Bodic; Pierre Héroux; Sébastien Adam; Yves Lecourtier (Pattern Recognit., 2012)

Dynamic Random Forests. - Simon Bernard 001; Sébastien Adam; Laurent Heutte (Pattern Recognit. Lett., 2012)

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism. - Pierre Héroux; Pierre Le Bodic; Sébastien Adam (GREC, 2013)

Learning to Detect Tables in Scanned Document Images Using Line Information. - Thotreingam Kasar; Philippine Barlas; Sébastien Adam; Clément Chatelain 001; Thierry Paquet (ICDAR, 2013)

A multi-dimensional approach for analyzing software artifacts. - Sébastien Adam; Ghizlane El-Boussaidi (SEKE, 2013)

Détection et segmentation des blocs de texte manuscrits et imprimés dans des documents complexes. - Philippine Barlas; Clément Chatelain 001; Sébastien Adam; Thierry Paquet (CORIA-CIFED, 2014)

Extraction de zones informatives dans des images de formulaire en couleur. - Maroua Hammami; Pierre Héroux; Sébastien Adam (CORIA-CIFED, 2014)

Détection de tableaux dans des documents complexes. - Thotreingam Kasar; Philippine Barlas; Sébastien Adam; Clément Chatelain 001; Thierry Paquet (CORIA-CIFED, 2014)

A Typed and Handwritten Text Block Segmentation System for Heterogeneous and Complex Documents. - Philippine Barlas; Sébastien Adam; Clément Chatelain 001; Thierry Paquet (Document Analysis Systems, 2014)

Writing Type and Language Identification in Heterogeneous and Complex Documents. - David Hebert; Philippine Barlas; Clément Chatelain 001; Sébastien Adam; Thierry Paquet (ICFHR, 2014)

GEM++: A Tool for Solving Substitution-Tolerant Subgraph Isomorphism. - Julien Lerouge; Pierre Le Bodic; Pierre Héroux; Sébastien Adam (GbRPR, 2015)

One-shot field spotting on colored forms using subgraph isomorphism. - Maroua Hammami; Pierre Héroux; Sébastien Adam; Vincent Poulain D'Andecy (ICDAR, 2015)

An approach for classifying design artifacts. - Sébastien Adam; Ghizlane El-Boussaidi; Alain Abran (SEKE, 2015)

Input/Output Deep Architecture for Structured Output Problems. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam (CoRR, 2015)

Graph edit distance : a new binary linear programming formulation. - Julien Lerouge; Zeina Abu-Aisheh; Romain Raveaux; Pierre Héroux; Sébastien Adam (CoRR, 2015)

Localisation automatique de champs de saisie sur des images de formulaires couleur par isomorphisme de sous-graphe. - Maroua Hammami; Pierre Héroux; Sébastien Adam; Vincent Poulain D'Andecy (CORIA-CIFED, 2016)

Language Identification in Document Images. - Philippine Barlas; David Hebert; Clément Chatelain 001; Sébastien Adam; Thierry Paquet (Document Recognition and Retrieval, 2016)

Deep multi-task learning with evolving weights. - Soufiane Belharbi; Romain Hérault; Clément Chatelain 001; Sébastien Adam (ESANN, 2016)

ROC-based cost-sensitive classification with a reject option. - Clément Dubos; Simon Bernard 001; Sébastien Adam; Robert Sabourin (ICPR, 2016)

The Software Architecture Mapping Framework for Managing Architectural Knowledge. - Sébastien Adam; Alain Abran (SEKE, 2016)

Exact Graph Edit Distance Computation Using a Binary Linear Program. - Julien Lerouge; Zeina Abu-Aisheh; Romain Raveaux; Pierre Héroux; Sébastien Adam (S+SSPR, 2016)

The Multiclass ROC Front method for cost-sensitive classification. - Simon Bernard 001; Clément Chatelain 001; Sébastien Adam; Robert Sabourin (Pattern Recognit., 2016)

Minimum cost subgraph matching using a binary linear program. - Julien Lerouge; Maroua Hammami; Pierre Héroux; Sébastien Adam (Pattern Recognit. Lett., 2016)

Handwritten Text Line Segmentation Using Fully Convolutional Network. - Guillaume Renton; Clément Chatelain 001; Sébastien Adam; Christopher Kermorvant; Thierry Paquet (WML@ICDAR, 2017)

Spotting L3 slice in CT scans using deep convolutional network and transfer learning. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam; Sébastien Thureau; Mathieu Chastan; Romain Modzelewski (Comput. Biol. Medicine, 2017)

Neural Networks Regularization Through Class-wise Invariant Representation Learning. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam (CoRR, 2017)

New binary linear programming formulation to compute the graph edit distance. - Julien Lerouge; Zeina Abu-Aisheh; Romain Raveaux; Pierre Héroux; Sébastien Adam (Pattern Recognit., 2017)

Graph edit distance contest: Results and future challenges. - Zeina Abu-Aisheh; Benoit Gaüzère; Sébastien Bougleux; Jean-Yves Ramel; Luc Brun; Romain Raveaux; Pierre Héroux; Sébastien Adam (Pattern Recognit. Lett., 2017)

Fully convolutional network with dilated convolutions for handwritten text line segmentation. - Guillaume Renton; Yann Soullard; Clément Chatelain 001; Sébastien Adam; Christopher Kermorvant; Thierry Paquet (Int. J. Document Anal. Recognit., 2018)

Deep neural networks regularization for structured output prediction. - Soufiane Belharbi; Romain Hérault; Clément Chatelain 001; Sébastien Adam (Neurocomputing, 2018)

Subgraph spotting in graph representations of comic book images. - Thanh Nam Le 001; Muhammad Muzzamil Luqman; Anjan Dutta 001; Pierre Héroux; Christophe Rigaud; Clément Guérin; Pasquale Foggia; Jean-Christophe Burie; Jean-Marc Ogier; Josep Lladós 001; Sébastien Adam (Pattern Recognit. Lett., 2018)

Graph Neural Network for Symbol Detection on Document Images. - Guillaume Renton; Pierre Héroux; Benoit Gaüzère; Sébastien Adam (GREC@ICDAR, 2019)

A Named Entity Extraction System for Historical Financial Data. - Wassim Swaileh; Thierry Paquet; Sébastien Adam; Andres Rojas Camacho (DAS, 2020)

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. - Muhammet Balcilar; Guillaume Renton; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Paul Honeine (CoRR, 2020)

Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach. - Guillaume Hoffmann 002; Muhammet Balcilar; Vincent Tognetti; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Laurent Joubert (J. Comput. Chem., 2020)

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. - Muhammet Balcilar; Guillaume Renton; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Paul Honeine (ICLR, 2021)

Breaking the Limits of Message Passing Graph Neural Networks. - Muhammet Balcilar; Pierre Héroux; Benoit Gaüzère; Pascal Vasseur; Sébastien Adam; Paul Honeine (ICML, 2021)

Symbols Detection and Classification using Graph Neural Networks. - Guillaume Renton; Muhammet Balcilar; Pierre Héroux; Benoit Gaüzère; Paul Honeine; Sébastien Adam (Pattern Recognit. Lett., 2021)

Real-Time Multimodal Emotion Recognition in Conversation for Multi-Party Interactions. - Sandratra Rasendrasoa; Alexandre Pauchet; Julien Saunier; Sébastien Adam (ICMI, 2022)

Technical report: Graph Neural Networks go Grammatical. - Jason Piquenot; Aldo Moscatelli; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (CoRR, 2023)

DspGNN : Une Approche Spectrale de Réseau de Neurones sur Graphes Dynamiques pour la régression des arêtes. - Leshanshui Yang; Clément Chatelain 001; Sébastien Adam (EGC, 2024)

G2N2 : Weisfeiler and Lehman go grammatical. - Jason Piquenot; Aldo Moscatelli; Maxime Berar; Pierre Héroux; Romain Raveaux; Jean-Yves Ramel; Sébastien Adam (ICLR, 2024)

Dynamic Graph Representation Learning With Neural Networks: A Survey. - Leshanshui Yang; Clément Chatelain 001; Sébastien Adam (IEEE Access, 2024)

Temporal receptive field in dynamic graph learning: A comprehensive analysis. - Yannis Karmim; Leshanshui Yang; Raphaël Fournier-S'niehotta; Clément Chatelain 001; Sébastien Adam; Nicolas Thome (CoRR, 2024)

Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning. - Jason Piquenot; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (CoRR, 2024)

Graph node matching for edit distance. - Aldo Moscatelli; Jason Piquenot; Maxime Bérar; Pierre Héroux; Sébastien Adam (Pattern Recognit. Lett., 2024)

Grammatical Path Network: Unveiling Cycles Through Path Computation. - Jason Piquenot; Louisa Bouzidi; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (GbRPR, 2025)

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach. - Jason Piquenot; Maxime Berar; Romain Raveaux; Pierre Héroux; Jean-Yves Ramel; Sébastien Adam (ICLR, 2025)