Alexey ZHUKOV - Thèse en cours
Identifiant ORCID
0009000905185474
Identifiant Hal
https://hal.archives-ouvertes.fr/search/index/?q=%2A&authIdHal_s=alexey-zhukov
Compte LinkedIn
https://www.linkedin.com/in/alexeyzhukovw/
Doctorat Informatique
-
Université de Bordeaux
Ecole doctorale
:
Mathématiques et Informatique
Sujet
: Fusion des données pour la reconnaissance des objets : application à la reconnaissance des défauts des rails
Mots-clés de la thèse
: Fusion précauce,Fusion tardive,Fusion intermédiare,Apprentissage profond,Modèles d'attention,Technique d'explicabilité
Direction de thèse
: Jenny BENOIS-PINEAU
Co-direction de thèse
: Akka ZEMMARI
Unité de recherche :
LaBRI - Laboratoire Bordelais de Recherche en Informatique UMR 5800
- Talence
Intitulé de l'équipe :
Images et Son
Master - de Sciences, Technologies, Santé, Mention Informatique
obtenu en septembre 2023 - Université de Bordeaux
Option :
Informatique pour l'image et le son
Production scientifique
-
Alexey Zhukov, Jenny Benois-Pineau, Alain Rivero, Akka Zemmari, Mohamed Mosbah, Danilo Crispiani
2025. A Hybrid AI System for Fusion of Object and Context Information: Application to the Rail Line Defect Detection
,
pp.1-7
,
https://hal.science/hal-04999579v1
-
Alexey Zhukov, Jenny Benois-Pineau, Romain Giot, Romain Bourqui
2025. Explainable AI in Image Classification Tasks: How to Choose the Best?
,
69, pp.49-70
,
https://hal.science/hal-04999611v1
-
Zhukov, Alexey; Benois-Pineau, Jenny; Giot, Romain; Bourqui, Romain
2025. Explainable AI in Image Classification Tasks: How to Choose the Best?
Emotional Data Applications and Regulation of Artificial Intelligence in Society,
49--70
,
https://doi.org/10.1007/978-3-031-80111-2_4
-
Zhukov, Alexey; Benois-Pineau, Jenny; Rivero, Alain; Zemmari, Akka; Mosbah, Mohamed; Crispiani, Danilo
2024. A Hybrid AI System for Fusion of Object and Context Information: Application to the Rail Line Defect Detection
2024 International Conference on Content-Based Multimedia Indexing (CBMI),
1-7
,
https://doi.org/10.1109/CBMI62980.2024.10859237
-
Alexey Zhukov, Alain Rivero, Jenny Benois-Pineau, Akka Zemmari, Mohamed Mosbah
2024. A Hybrid System for Defect Detection on Rail Lines through the Fusion of Object and Context Information
Sensors,
24, pp.1171
,
https://hal.science/hal-04684106
-
Alexey Zhukov, Alain Rivero, Jenny Benois-Pineau, Akka Zemmari, Mohamed Mosbah
2024. A Hybrid System for Defect Detection on Rail Lines through the Fusion of Object and Context Information
Sensors,
Volume 24, 1171
,
https://www.mdpi.com/1424-8220/24/4/1171
-
Alexey Zhukov, Jenny Benois-Pineau, Romain Giot, Romain Bourqui, Luca Bourroux
2024. FEM and Multi-Layered FEM: Feature Explanation Methods with Statistical Filtering of Important Features
,
09, pp.295-327
,
https://hal.science/hal-04698686v1
-
Hyeon Yu, Jenny Benois-Pineau, Romain Bourqui, Romain Giot, Alexey Zhukov
2024. Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods
,
,
https://hal.science/hal-04698571v1
-
Alexey Zhukov, Jenny Benois-Pineau, Romain Giot
2023. Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics
Advances in Artificial Intelligence and Machine Learning,
03, pp.620-646
,
https://hal.science/hal-04698555v1
-
Alexey Zhukov, Jenny Benois-Pineau, Romain Giot
2023. Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics
Advances in Artificial Intelligence and Machine Learning,
03, pp.620-646
,
-
Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov
2023. On the stability, correctness and plausibility of visual explanation methods based on feature importance
,
,
https://cea.hal.science/cea-04256974/document
Dernière mise à jour le 21 mai 2025
