29 citations · 56 across the 5 of their papers we have counts for
5 papers
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning
Jason Piquenot, Maxime Bérar, Pierre Héroux +3
This paper presents Grammar Reinforcement Learning (GRL), a reinforcement learning algorithm that uses Monte Carlo Tree Search (MCTS) and a transformer architecture that models a P…
Technical report: Graph Neural Networks go Grammatical
Jason Piquenot, Aldo Moscatelli, Maxime Bérar +4
This paper introduces a framework for formally establishing a connection between a portion of an algebraic language and a Graph Neural Network (GNN). The framework leverages Contex…
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang, Lei Li, Christian Payer +31
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable…
Employing fuzzy intervals and loop-based methodology for designing structural signature: an application to symbol recognition
Muhammad Muzzamil Luqman, Mathieu Delalandre, Thierry Brouard +2
Motivation of our work is to present a new methodology for symbol recognition. We support structural methods for representing visual associations in graphic documents. The proposed…
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yves Ramel
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image ana…