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)

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)

A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (GREC, 2007)

A Colour Document Interpretation: Application to Ancient Cadastral Maps. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (ICDAR, 2007)

A Contribution to Ancient Cadastral Maps Interpretation through Colour Analysis. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (PRIS, 2007)

Object Extraction from Colour Cadastral Maps. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (Document Analysis Systems, 2008)

A colour text/graphics separation based on a graph representation. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (ICPR, 2008)

A Colour Space Selection Scheme dedicated to Information Retrieval Tasks. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (PRIS, 2008)

Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data. - Romain Raveaux; Guillaume Hillairet (HAIS (1), 2010)

A graph matching method and a graph matching distance based on subgraph assignments. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (Pattern Recognit. Lett., 2010)

Historical document analysis: A review of French projects and open issues. - Mickaël Coustaty; Romain Raveaux; Jean-Marc Ogier (EUSIPCO, 2011)

Report on the Symbol Recognition and Spotting Contest. - Ernest Valveny; Mathieu Delalandre; Romain Raveaux; Bart Lamiroy (GREC, 2011)

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

A local evaluation of vectorized documents by means of polygon assignments and matching. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (Int. J. Document Anal. Recognit., 2012)

Structured representations in a content based image retrieval context. - Romain Raveaux; Jean-Christophe Burie; Jean-Marc Ogier (J. Vis. Commun. Image Represent., 2013)

A Graph Database Repository and Performance Evaluation Metrics for Graph Edit Distance. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel (GbRPR, 2015)

Document image quality assessment based on improved gradient magnitude similarity deviation. - Alireza Alaei; Donatello Conte; Romain Raveaux (ICDAR, 2015)

An Exact Graph Edit Distance Algorithm for Solving Pattern Recognition Problems. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel; Patrick Martineau (ICPRAM (1), 2015)

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

Document Image Quality Assessment Based on Texture Similarity Index. - Alireza Alaei; Donatello Conte; Michael Blumenstein; Romain Raveaux (DAS, 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)

Anytime graph matching. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel (Pattern Recognit. Lett., 2016)

A Local Branching Heuristic for the Graph Edit Distance Problem. - Mostafa Darwiche; Romain Raveaux; Donatello Conte; Vincent T'kindt (CIARP, 2017)

Fast Nearest Neighbors Search in Graph Space Based on a Branch-and-Bound Strategy. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel (GbRPR, 2017)

Learning Graph Matching with a Graph-Based Perceptron in a Classification Context. - Romain Raveaux; Maxime Martineau; Donatello Conte; Gilles Venturini (GbRPR, 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)

A survey on image-based insect classification. - Maxime Martineau; Donatello Conte; Romain Raveaux; Ingrid Arnault; Damien Munier; Gilles Venturini (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)

Image quality assessment based on regions of interest. - Alireza Alaei; Romain Raveaux; Donatello Conte (Signal Image Video Process., 2017)

Effective Training of Convolutional Neural Networks for Insect Image Recognition. - Maxime Martineau; Romain Raveaux; Clément Chatelain 001; Donatello Conte; Gilles Venturini (ACIVS, 2018)

"Quality" vs. "Readability" in Document Images: Statistical Analysis of Human Perception. - Alireza Alaei; Romain Raveaux; Donatello Conte; Bela Stantic (DAS, 2018)

Graph Edit Distance in the Exact Context. - Mostafa Darwiche; Romain Raveaux; Donatello Conte; Vincent T'kindt (S+SSPR, 2018)

Learning Cost Functions for Graph Matching. - Rafael de Oliveira Werneck; Romain Raveaux; Salvatore Tabbone; Ricardo da Silva Torres (S+SSPR, 2018)

A parallel graph edit distance algorithm. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel; Patrick Martineau (Expert Syst. Appl., 2018)

Blind document image quality prediction based on modification of quality aware clustering method integrating a patch selection strategy. - Alireza Alaei; Donatello Conte; Maxime Martineau; Romain Raveaux (Expert Syst. Appl., 2018)

Contributions and perspectives on combinatorial optimization and machine learning for graph matching and classification. (Contributions et perspectives sur l'optimisation combinatoire et l'apprentissage pour l'appariement et la classification de graphes). - Romain Raveaux (2019)

Solving the Graph Edit Distance Problem with Variable Partitioning Local Search. - Mostafa Darwiche; Donatello Conte; Romain Raveaux; Vincent T'kindt (GbRPR, 2019)

A local branching heuristic for solving a Graph Edit Distance Problem. - Mostafa Darwiche; Donatello Conte; Romain Raveaux; Vincent T'kindt (Comput. Oper. Res., 2019)

Learning cost function for graph classification with open-set methods. - Rafael de Oliveira Werneck; Romain Raveaux; Salvatore Tabbone; Ricardo da Silva Torres (Pattern Recognit. Lett., 2019)

A Convolutional Neural Network into graph space. - Maxime Martineau; Romain Raveaux; Donatello Conte; Gilles Venturini (CoRR, 2020)

Efficient k-nearest neighbors search in graph space. - Zeina Abu-Aisheh; Romain Raveaux; Jean-Yves Ramel (Pattern Recognit. Lett., 2020)

Graph edit distance: Accuracy of local branching from an application point of view. - Mostafa Darwiche; Donatello Conte; Romain Raveaux; Vincent T'kindt (Pattern Recognit. Lett., 2020)

Learning error-correcting graph matching with a multiclass neural network. - Maxime Martineau; Romain Raveaux; Donatello Conte; Gilles Venturini (Pattern Recognit. Lett., 2020)

Deep graph matching meets mixed-integer linear programming: Relax at your own risk ? - Zhoubo Xu; Puqing Chen; Romain Raveaux; Xin Yang; Huadong Liu (CoRR, 2021)

Graph matching as a graph convolution operator for graph neural networks. - Maxime Martineau; Romain Raveaux; Donatello Conte; Gilles Venturini (Pattern Recognit. Lett., 2021)

On the unification of the graph edit distance and graph matching problems. - Romain Raveaux (Pattern Recognit. Lett., 2021)

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

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

Deep graph matching meets mixed-integer linear programming: Relax or not ? - Zhoubo Xu; Puqing Chen; Romain Raveaux; Xin Yang; Huadong Liu (Pattern Recognit., 2024)

Hierarchical Super-Pixels Graph Neural Networks for Image Semantic Segmentation. - Xavier Hoarau; Julien Mille; Hugo Raguet; Romain Raveaux (GbRPR, 2025)

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)