output
20062026
most citedA review: Deep learning for medical image segmentation using multi-modality fusion

677 citations

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14 papers · 1 filter

cs.AI2025

Deep Reinforcement Learning with anticipatory reward in LSTM for Collision Avoidance of Mobile Robots

Olivier Poulet, Frédéric Guinand, François Guérin

This article proposes a collision risk anticipation method based on short-term prediction of the agents position. A Long Short-Term Memory (LSTM) model, trained on past trajectorie…

cs.AI2024★ 9 cited

DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents

Thomas Constum, Pierrick Tranouez, Thierry Paquet

Information extraction from handwritten documents involves traditionally three distinct steps: Document Layout Analysis, Handwritten Text Recognition, and Named Entity Recognition.…

cs.AI2012★ 4 cited

A multiagent urban traffic simulation

Pierrick Tranouez, Eric Daudé, Patrice Langlois

We built a multiagent simulation of urban traffic to model both ordinary traffic and emergency or crisis mode traffic. This simulation first builds a modeled road network based on…

cs.AI2011★ 4 cited

Uncertainty in Ontologies: Dempster-Shafer Theory for Data Fusion Applications

Amandine Bellenger, Sylvain Gatepaille

Nowadays ontologies present a growing interest in Data Fusion applications. As a matter of fact, the ontologies are seen as a semantic tool for describing and reasoning about senso…

cs.AI2010

A new model for solution of complex distributed constrained problems

Sami Al-Maqtari, Habib Abdulrab, Eduard Babkin

In this paper we describe an original computational model for solving different types of Distributed Constraint Satisfaction Problems (DCSP). The proposed model is called Controlle…

cs.AI2009

Emotion : modèle d'appraisal-coping pour le problème des Cascades

Karim Mahboub, Cyrille Bertelle, Véronique Jay +1

Modeling emotion has become a challenge nowadays. Therefore, several models have been produced in order to express human emotional activity. However, only a few of them are current…