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Marie Beurton-Aimar

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2020 – today

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2024
[c22]
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Manh-Tu Vu, Marie Beurton-Aimar:
ViT-ED: Transformer Network for Image Similarity Measurement. ICDAR (4) 2024: 306-323
[c21]
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Idriss Dulau, Benoit Recur, Catherine Helmer, Cécile Delcourt, Marie Beurton-Aimar:
VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation. OMIA@MICCAI 2024: 22-31
2023
[j9]
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Cecilia Ostertag, Muriel Visani, Thierry Urruty, Marie Beurton-Aimar:
Long-term cognitive decline prediction based on multi-modal data using Multimodal3DSiameseNet: transfer learning from Alzheimer's disease to Parkinson's disease. Int. J. Comput. Assist. Radiol. Surg. 18(5): 809-818 (2023)
[c20]
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Kévin Réby, Idriss Dulau, Guillaume Dubrasquet, Marie Beurton-Aimar:
Graph Transformer for Physical Rehabilitation Evaluation. FG 2023: 1-8
[c19]
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Manh-Tu Vu, Marie Beurton-Aimar:
Learning to focus on region-of-interests for pain intensity estimation. FG 2023: 1-6
[c18]
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Idriss Dulau, Catherine Helmer, Cécile Delcourt, Marie Beurton-Aimar:
Ensuring a connected structure for Retinal Vessels Deep-Learning Segmentation. ICCV (Workshops) 2023: 2356-2365
[c17]
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Manh-Tu Vu, Marie Beurton-Aimar:
PapyTwin net: a Twin network for Greek letters detection on ancient Papyri. HIP@ICDAR 2023: 43-48
[c16]
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Isabelle Marthot-Santaniello, Manh-Tu Vu, Olga Serbaeva, Marie Beurton-Aimar:
Stylistic Similarities in Greek Papyri Based on Letter Shapes: A Deep Learning Approach. ICDAR Workshops (1) 2023: 307-323
2022
[j8]
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Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
A simple yet effective approach for log based critical errors prediction. Comput. Ind. 137: 103605 (2022)
2021
[j7]
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Romain Thevenoux, Van Linh Le, Heloïse Villessèche, Alain Buisson, Marie Beurton-Aimar, Eric Grenier, Laurent Folcher, Nicolas Parisey:
Image based species identification of Globodera quarantine nematodes using computer vision and deep learning. Comput. Electron. Agric. 186: 106058 (2021)
[j6]
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Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet:
Self-supervised deep metric learning for ancient papyrus fragments retrieval. Int. J. Document Anal. Recognit. 24(3): 219-234 (2021)
[c15]
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Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
Approche de traitement des logs pour la prédiction d'erreurs critiques. EGC 2021: 301-308
[c14]
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Manh-Tu Vu, Marie Beurton-Aimar, Serge Marchand:
Multitask Multi-database Emotion Recognition. ICCVW 2021: 3630-3637
[c13]
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Manh-Tu Vu, Van Linh Le, Marie Beurton-Aimar:
IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database. ICDAR (3) 2021: 85-99
[c12]
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Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
Log Data Preparation for Predicting Critical Errors Occurrences. WorldCIST (2) 2021: 224-233
[i5]
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  - journals/corr/abs-2107-04127
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Manh-Tu Vu, Marie Beurton-Aimar:
Multitask Multi-database Emotion Recognition. CoRR abs/2107.04127 (2021)
2020
[j5]
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  - journals/ecoi/LeBZMP20
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Van Linh Le, Marie Beurton-Aimar, Akka Zemmari, Alexia Marie, Nicolas Parisey:
Automated landmarking for insects morphometric analysis using deep neural networks. Ecol. Informatics 60: 101175 (2020)
[j4]
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Cecilia Ostertag, Marie Beurton-Aimar:
Matching ostraca fragments using a siamese neural network. Pattern Recognit. Lett. 131: 336-340 (2020)
[c11]
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Cecilia Ostertag, Marie Beurton-Aimar:
Using Graph Neural Networks to Reconstruct Ancient Documents. ICPR Workshops (7) 2020: 39-53
[c10]
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Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network ^*. IPTA 2020: 1-6
[i4]
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  - journals/corr/abs-2011-00840
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Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network. CoRR abs/2011.00840 (2020)
[i3]
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  - journals/corr/abs-2011-07048
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Cecilia Ostertag, Marie Beurton-Aimar:
Using Graph Neural Networks to Reconstruct Ancient Documents. CoRR abs/2011.07048 (2020)

2010 – 2019

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2019
[c9]
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Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet:
Papy-S-Net: A Siamese Network to match papyrus fragments. HIP@ICDAR 2019: 78-83
[i2]
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  - journals/corr/abs-1909-01098
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Cecilia Ostertag, Marie Beurton-Aimar, Thierry Urruty:
3DSiameseNet to Analyze Brain MRI. CoRR abs/1909.01098 (2019)
2018
[c8]
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Huu Ton Le, Thierry Urruty, Marie Beurton-Aimar, Thi Phuong Nghiem, Hoang-Tung Tran, Romain Verset, Marie Ballère, Hien Phuong Lai, Muriel Visani:
Study of CNN Based Classification for Small Specific Datasets. ACIIDS (Extended Posters) 2018: 355-365
[c7]
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Van Linh Le, Marie Beurton-Aimar, Akka Zemmari, Nicolas Parisey:
Landmarks Detection by Applying Deep Networks. MAPR 2018: 1-6
[c6]
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Manh-Tu Vu, Marie Beurton-Aimar, Van Linh Le:
Heritage Image Classification by Convolution Neural Networks. MAPR 2018: 1-6
2011
[j3]
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  - journals/biosystems/PeresVBM11
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Sabine Pérès, François Vallée, Marie Beurton-Aimar, Jean-Pierre Mazat:
ACoM: A classification method for elementary flux modes based on motif finding. Biosyst. 103(3): 410-419 (2011)
[j2]
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Marie Beurton-Aimar, Bertrand Beauvoit, Antoine Monier, François Vallée, Martine Dieuaide-Noubhani, Sophie Colombié:
Comparison between elementary flux modes analysis and 13C-metabolic fluxes measured in bacterial and plant cells. BMC Syst. Biol. 5: 95 (2011)
2010
[c5]
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Marie Beurton-Aimar, Nicolas Parisey, François Vallée, Sophie Colombié:
Identification of Functional Hubs through Metabolic Networks. ALIFE 2010: 344-345

2000 – 2009

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2009
[c4]
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Marie Beurton-Aimar, Nicolas Parisey, François Vallée:
Multi-Agent Model for Simulation at the Subcellular Level. ECAL (1) 2009: 361-368
[i1]
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  - journals/corr/abs-0901-3910
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Charles Lales, Nicolas Parisey, Jean-Pierre Mazat, Marie Beurton-Aimar:
Simulation of mitochondrial metabolism using multi-agents system. CoRR abs/0901.3910 (2009)
2007
[j1]
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  - journals/tsi/PeresBM07
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Sabine Pérès, Marie Beurton-Aimar, Jean-Pierre Mazat:
Classification des modes élémentaires. Tech. Sci. Informatiques 26(1-2): 197-216 (2007)

1990 – 1999

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1999
[c3]
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Marie Beurton-Aimar, Benoît Leblanc:
Designing medical knowledge-based system from patterns. CATA 1999: 218-221
[c2]
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Marie Beurton-Aimar:
Medical KBS with Patterns. ECOOP Workshop for PhD Students in OO Systems 1999: 151-152
[c1]
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Marie Beurton-Aimar:
Using Patterns into the Conception of a Medical KBS. ECOOP Workshops 1999: 374-375

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