Sébastien Adam

Christopher Kermorvant, Clément Chatelain, Thierry Paquet, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

The Software Architecture Mapping Framework for Managing Architectural Knowledge

Alain Abran, Sébastien Adam, A. Abran, 2016, SEKE.

An approach for classifying design artifacts

Alain Abran, Ghizlane El-Boussaidi, Sébastien Adam, 2015, SEKE.

Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases

Sébastien Adam, Éric Trupin, Pierre Héroux, 2005, GREC.

Symbol and character recognition: application to engineering drawings

Jacques Labiche, Rémy Mullot, Jean-Marc Ogier, 2000, International Journal on Document Analysis and Recognition.

Neural Networks Regularization Through Class-wise Invariant Representation Learning pdf

Romain Hérault, Clément Chatelain, Sébastien Adam, 2017, ArXiv.

Symbol Recognition Combining Vectorial and Statistical Features

Jacques Labiche, Sébastien Adam, Éric Trupin, 2005, GREC.

A Multiscale and Multiorientation Recognition Technique Applied to Document Interpretation: Application to the French Telephone Network Maps

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 1999, Int. J. Pattern Recognit. Artif. Intell..

Automatic Ground-truth Generation for Document Image Analysis and Understanding

Sébastien Adam, Éric Trupin, Pierre Héroux, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Fouille de graphes et découverte de règles d'association : application à l'analyse d'images de document

Sébastien Adam, Éric Trupin, Pierre Héroux, 2005, EGC.

Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition

Romain Raveaux, Sébastien Adam, Éric Trupin, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A simple one class classifier with rejection strategy : application to symbol classification

Clément Chatelain, Sébastien Adam, Pierre Héroux, 2007 .

Détection de tableaux dans des documents complexes

Clément Chatelain, Thierry Paquet, Philippine Barlas, 2014, CORIA-CIFED.

Using Random Forests for Handwritten Digit Recognition

Laurent Heutte, Sébastien Adam, Simon Bernard, 2007 .

Knowledge Representation and Acquisition for Engineering Document Analysis

Jacques Labiche, Jean-Marc Ogier, Sébastien Adam, 2003, GREC.

Interprétation de Documents Techniques : des Outils à leur Intégration dans un Système à Base de Connaissances

Sébastien Adam, S. Adam, 2001 .

Systematic inference of the context of utilization of the design knowledge by using a reference model

Sébastien Adam, 2016 .

Graph edit distance contest: Results and future challenges

Jean-Yves Ramel, Romain Raveaux, Benoit Gaüzère, 2017, Pattern Recognit. Lett..

A multi-scale and multi-orientation recognition technique applied to document interpretation application to french telephone network maps

Jacques Labiche, Rémy Mullot, Jean-Marc Ogier, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Clustering Document Images Using Graph Summaries

Sébastien Adam, Éric Trupin, Pierre Héroux, 2005, MLDM.

Indexation of Document Images Using Frequent Items

Sébastien Adam, Éric Trupin, Pierre Héroux, 2005, PRIS.

A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition

Romain Raveaux, Sébastien Adam, Éric Trupin, 2007, GbRPR.

A step toward an adaptive composition of query suggestion approaches

Bruno Grilhères, Yves Lecourtier, Sébastien Adam, 2010, IIiX.

Input/Output Deep Architecture for Structured Output Problems pdf

Romain Hérault, Clément Chatelain, Sébastien Adam, 2015, ArXiv.

Using Random Forests for Handwritten Digit Recognition

Laurent Heutte, Sébastien Adam, Simon Bernard, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Recognition, Using XML Modelling A Statistical and Structural Approach for Symbol

Jean-Marc Ogier, Mathieu Delalandre, Sébastien Adam, 2002 .

A Typed and Handwritten Text Block Segmentation System for Heterogeneous and Complex Documents

Clément Chatelain, Thierry Paquet, Philippine Barlas, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform

Jacques Labiche, Rémy Mullot, Jean-Marc Ogier, 2000, SSPR/SPR.

Subgraph spotting in graph representations of comic book images

Josep Lladós, Jean-Christophe Burie, Jean-Marc Ogier, 2018, Pattern Recognit. Lett..

Multi-Objective Optimization for SVM Model Selection

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2007 .

Polygonal Approximation of Digital Curves Using a Multi-objective Genetic Algorithm

Yves Lecourtier, Romain Raveaux, Sébastien Adam, 2005, GREC.

The Multiclass ROC Front method for cost-sensitive classification

Robert Sabourin, Clément Chatelain, Sébastien Adam, 2016, Pattern Recognit..

Exact Graph Edit Distance Computation Using a Binary Linear Program

Romain Raveaux, Zeina Abu-Aisheh, Sébastien Adam, 2016, S+SSPR.

Facial landmark detection using structured output deep neural networks

Romain Hérault, Clément Chatelain, Sébastien Adam, 2015 .

Fully convolutional network with dilated convolutions for handwritten text line segmentation

Christopher Kermorvant, Clément Chatelain, Thierry Paquet, 2018, International Journal on Document Analysis and Recognition (IJDAR).

Deep neural networks regularization for structured output prediction

Romain Hérault, Clément Chatelain, Sébastien Adam, 2015, Neurocomputing.

DocMining: A Document Analysis System Builder

Jean-Marc Ogier, Maurizio Rigamonti, Karl Tombre, 2004, Document Analysis Systems.

Automatic Ground-truth Generation for Document Image Analysis and Understanding

Sébastien Adam, Pierre Héroux, Eugen Barbu, 2007 .

On defining signatures for the retrieval and the classification of graphical drop caps

Nicole Vincent, Laurent Wendling, Jean-Marc Ogier, 2006, Second International Conference on Document Image Analysis for Libraries (DIAL'06).

Approximation of Digital Curves using a Multi-Objective Genetic Algorithm

Yves Lecourtier, Romain Raveaux, Sébastien Adam, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Fourier-Mellin Based Invariants for the Recognition of Multi-Oriented and Multi-Scaled Shapes - Application to Engineering Drawings Analysis

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 2000 .

An integer linear program for substitution-tolerant subgraph isomorphism and its use for symbol spotting in technical drawings

Yves Lecourtier, Sébastien Adam, Pierre Le Bodic, 2012, Pattern Recognit..

Reconnaissance de formes en multi-orientation et multi-echelle sur documents techniques

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 1999 .

Influence of Hyperparameters on Random Forest Accuracy

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, MCS.

On the selection of decision trees in Random Forests

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, 2009 International Joint Conference on Neural Networks.

Towards a Better Understanding of Random Forests through the Study of Strength and Correlation

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, ICIC.

One-shot field spotting on colored forms using subgraph isomorphism

Vincent Poulain D'Andecy, Sébastien Adam, Pierre Héroux, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Forest-RK: A New Random Forest Induction Method

Laurent Heutte, Sébastien Adam, Simon Bernard, 2008, ICIC.

Learning graph prototypes for shape recognition

Romain Raveaux, Sébastien Adam, Éric Trupin, 2011, Comput. Vis. Image Underst..

A multi-model selection framework for unknown and/or evolutive misclassification cost problems

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2010, Pattern Recognit..

A general framework for the evaluation of symbol recognition methods

Ernest Valveny, Yu Zhou, Adam C. Winstanley, 2007, International Journal of Document Analysis and Recognition (IJDAR).

Dynamic Random Forests

Laurent Heutte, Sébastien Adam, Simon Bernard, 2012, Pattern Recognit. Lett..

Multi-scaled and multi oriented character recognition: an original strategy

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Combination of Invariant Pattern Recognition Primitives on Technical Documents

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 1999, GREC.

New binary linear programming formulation to compute the graph edit distance

Romain Raveaux, Zeina Abu-Aisheh, Sébastien Adam, 2017, Pattern Recognit..

Minimum cost subgraph matching using a binary linear program

Sébastien Adam, Pierre Héroux, Julien Lerouge, 2016, Pattern Recognit. Lett..

Clustering document images using a bag of symbols representation

Sébastien Adam, Éric Trupin, Pierre Héroux, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

GEM++: A Tool for Solving Substitution-Tolerant Subgraph Isomorphism

Sébastien Adam, Pierre Le Bodic, Pierre Héroux, 2015, GbRPR.

Noncost Sensitive SVM Training Using Multiple Model Selection

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2010, J. Circuits Syst. Comput..

Spotting L3 slice in CT scans using deep convolutional network and transfer learning

Romain Hérault, Clément Chatelain, Sébastien Adam, 2017, Comput. Biol. Medicine.

Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming

Yves Lecourtier, Sébastien Adam, Pierre Le Bodic, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Similitude invariant pattern recognition on technical documents

Yves Lecourtier, Rémy Mullot, Jean-Marc Ogier, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Évaluation d'outils de reformulation interactive de requêtes

Yves Lecourtier, Sébastien Adam, Aurélien Saint-Réquier, 2010, CORIA.

Breaking the Limits of Message Passing Graph Neural Networks

Pascal Vasseur, Paul Honeine, Benoit Gaüzère, 2021, ICML.

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective

Paul Honeine, Benoit Gaüzère, Sébastien Adam, 2021, ICLR.

A Statistical and Structural Approach for Symbol Recognition, Using XML Modelling

Jean-Marc Ogier, Mathieu Delalandre, Sébastien Adam, 2002, SSPR/SPR.