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Stephane Cormier
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- affiliation: Reims Champagne Ardenne University, France
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2020 – today
- 2023
- [j4]Mohamed Tahar Bennai
, Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier, Mohamed Mezghiche:
Multi-agent medical image segmentation: A survey. Comput. Methods Programs Biomed. 232: 107444 (2023) - [j3]Shufan Jiang, Stéphane Cormier, Rafael Angarita, Francis Rousseaux:
Improving text mining in plant health domain with GAN and/or pre-trained language model. Frontiers Artif. Intell. 6 (2023) - [c22]Shufan Jiang, Rafael Angarita, Stéphane Cormier, Julien Orensanz, Francis Rousseaux:
ChouBERT : Pré-entraînement d'un modèle de langue française pour le Crowdsensing avec des Tweets dans un contexte phytosanitaire. INFORSID 2023: 171-172 - [i2]Shufan Jiang, Rafael Angarita, Stéphane Cormier, Francis Rousseaux:
Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach. CoRR abs/2310.12522 (2023) - 2022
- [c21]Juliet Chebet Moso, Stéphane Cormier, Cyril de Runz, Hacène Fouchal, John Mwangi Wandeto:
ELSCP pour la détection d'anomalies dans les flux de données issues de l'agriculture. EGC 2022: 495-496 - [c20]Shufan Jiang, Rafael Angarita, Stéphane Cormier, Julien Orensanz, Francis Rousseaux:
Informativité dans les Contenus Textuels Twitter pour la Phytosurveillance Centrée sur l'observation des Agriculteurs. EGC 2022: 501-502 - [c19]Shufan Jiang
Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring. ICPRAI (2) 2022: 492-503 - [c18]Mohamed Tahar Bennai, Lyse Gallay, Zahia Guessoum, Stéphane Cormier, Smaine Mazouzi:
Apprentissage profond & systèmes multi-agents : Application à la segmentation d'images médicales (poster). JFSMA 2022: 147 - [c17]Shufan Jiang
ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context. RCIS 2022: 653-661 - [c16]Shufan Jiang, Rafael Angarita, Stéphane Cormier, Francis Rousseaux:
Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach. UV 2022: 1-5 - 2021
- [c15]Shufan Jiang, Rafael Angarita, Raja Chiky, Stéphane Cormier, Francis Rousseaux:
Vers la Reconstruction des Connaissances Agricoles: Perspectives de Détection des Risques Naturels à partir de Sources de Données Hétérogènes. EGC 2021: 507-508 - [c14]Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal, Cyril de Runz, John Mwangi Wandeto
Road Speed Signatures from C-ITS messages. ICC 2021: 1-6 - [i1]Shufan Jiang, Rafael Angarita, Stephane Cormier, Francis Rousseaux:
Fine-tuning BERT-based models for Plant Health Bulletin Classification. CoRR abs/2102.00838 (2021) - 2020
- [j2]Mohamed Tahar Bennai
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images. Artif. Intell. Medicine 110: 101980 (2020) - [j1]Mohamed Tahar Bennai
A Cooperative Approach Based on Local Detection of Similarities and Discontinuities for Brain MR Images Segmentation. J. Medical Syst. 44(9): 145 (2020) - [c13]Shufan Jiang, Rafael Angarita, Raja Chiky, Stéphane Cormier, Francis Rousseaux:
Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies. CAiSE Workshops 2020: 89-94 - [c12]Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal
Trajectory User Linking in C-ITS Data Analysis. GLOBECOM 2020: 1-6 - [c11]Kévin Thomas, Hacène Fouchal
C-ITS communications based on BLE messages. GLOBECOM 2020: 1-7 - [c10]Juliet Chebet Moso, Ramzi Boutahala, Brice Leblanc, Hacène Fouchal
Anomaly Detection on Roads Using C-ITS Messages. Nets4Cars/Nets4Trains/Nets4Aircraft 2020: 25-38
2010 – 2019
- 2019
- [c9]Kévin Thomas, Geoffrey Wilhelm, Hacène Fouchal
Efficient Event Dissemination Using Bluetooth Protocol. I4CS 2019: 25-36 - [c8]Kévin Thomas, Hacène Fouchal
Intelligent Transport System Based on Bluetooth. Nets4Cars/Nets4Trains/Nets4Aircraft 2019: 50-59 - 2017
- [c7]Mohamed Tahar Bennai, Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier, Mohamed Mezghiche:
Towards a Generic Multi-agent Approach for Medical Image Segmentation. PRIMA 2017: 198-211 - 2016
- [c6]Francis Rousseaux, Stephane Cormier:
Knowledge Acquisition at the Time of Big Data. FedCSIS 2016: 1343-1348 - 2012
- [c5]Adelaide Albouy-Kissi, Stephane Cormier, François Tranquart:
Perfusion quantification of contrast-enhanced ultrasound images based on coherence enhancing diffusion and competitive clustering. ICIP 2012: 2321-2324 - [c4]Stephane Cormier, Hacène Fouchal
Disease tracking service in urban areas. IWCMC 2012: 71-75 - 2011
- [c3]Adelaide Albouy-Kissi, Stephane Cormier, Bertrand Y. Zavidovique, François Tranquart:
Contrast Enhanced Ultrasound Images Restoration. ACIVS 2011: 396-404
2000 – 2009
- 2005
- [c2]Adelaide Kissi, Stephane Cormier, Leandre Pourcelot, François Tranquart:
Automatic lesions segmentation in ultrasound nonlinear imaging. ICIP (1) 2005: 1153-1156 - [c1]Adelaide Kissi, Stephane Cormier, Leandre Pourcelot, Aurore Bleuzen, François Tranquart:
Perfusion Analysis of Nonlinear Liver Ultrasound Images Based on Nonlinear Matrix Diffusion. Scale-Space 2005: 528-535
Coauthor Index
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