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en:publi:appli_art [2014/06/04 06:06] – tdenoeuxen:publi:appli_art [2023/03/17 05:30] – tdenoeux
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 ====== Applications of belief functions ====== ====== Applications of belief functions ======
-  - Ph. Xu, F. Davoine, J.-B. Bordes, T. Denoeux. Fusion d'informations pour la compréhension de scènes. Traitement du Signal (to appear), 2014. {{en:publi:ts2014.pdf|pdf}} + 
-  - E. Côme, L. Oukhellou, T. Denoeux and P. Aknin. Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications, Vol. 15, Number 3, Pages 313-326, 2012. {{en:publi:paa2010last.pdf|pdf}} +=== Medical image processing === 
-  - Z. L. Cherfi, L. Oukhellou, E. Côme,  T. Denoeux and P. Aknin. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: Application to railway track circuit diagnosis. Soft Computing, Vol. 16, Number 5, pages 741-754, 2012. {{en:publi:soco2011_v3.pdf|pdf}}+  - Ling Huang, Su Ruan and Thierry Denoeux. Semi-Supervised Multiple Evidence Fusion for Brain Tumor Segmentation. Neurocomputing Vol. 535, Pages 40-52, 2023. {{ :en:publi:neurocomputing2022_semi_v3.pdf |pdf}} 
 +  - Ling Huang, Su Ruan and Thierry Denoeux. Application of belief functions to medical image segmentation: A review. Information Fusion, Vol. 91, Pages 737-756, 2023. {{ :en:publi:information_fusion_final_td.pdf |pdf}} 
 +  - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen. PENet: Prior Evidence Deep Neural Network for Bladder Cancer Staging. Methods, vol. 207, pages 20–28, 2022. {{ :en:publi:pedcnn2.pdf |pdf}} 
 +  - Ling Huang, Su Ruan, Pierre Decazes and Thierry Denoeux. Lymphoma segmentation from 3D PET-CT images using a deep evidential network. International Journal of Approximate Reasoning, Volume 149, pages 39-60, 2022. {{ :en:publi:es-unet_v2_clean.pdf |pdf}} 
 +  - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Joint Tumor Segmentation in PET-CT Images using Co-Clustering and Fusion based on Belief Functions. IEEE Transactions on Image Processing, vol. 28, Issue 2, pages 755-766, 2019. {{:en:publi:coseg-tip.pdf|pdf}} 
 +  - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Spatial Evidential Clustering with Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Transactions on Biomedical Engineering, Volume 65, Issue 1, pages 21-30, 2018. {{:en:publi:ieee-tbme-final_version_sub.pdf|pdf}} 
 +  - C. Lian, S. Ruan, T. Denoeux, F. Jardin, P. Vera. Selecting Radiomic Features from FDG-PET Images for Cancer Treatment Outcome Prediction. Medical Image Analysis, Volume 32, Pages 257-268, 2016. {{:en:publi:mia2016final.pdf|pdf}} 
 +  - B. Lelandais, S. Ruan, T. Denoeux, P. Vera, I. Gardin. Fusion of multi-tracer PET images for Dose Painting. Medical Image Analysis, Volume 18, Issue 7, Pages 1247-1259, 2014. {{:en:publi:media_2014.pdf|pdf}} 
 + 
 +=== Materials science === 
 +  - Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Hiori Kino, Yasunobu Ando, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, and Hieu-Chi Dam. Evidence-based data mining method to reveal similarities between materials based on physical mechanisms. Journal of Applied Physics, 133(5): 053904, 2023. {{ :en:publi:j_applied_physics2023.pdf |pdf}} 
 +  - Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh and Hieu-Chi Dam. Evidence-based recommender system for high-entropy alloys. Nature Computational Science, 2021. [[https://www.nature.com/articles/s43588-021-00097-w|https://www.nature.com/articles/s43588-021-00097-w]]. 
 +  - L. Sui, P. Feissel and T. Denoeux. Identification of Elastic Properties in the Belief Function Framework. International Journal of Approximate Reasoning, vol. 101, pages 69-87, 2018. {{:en:publi:ijar_identification_final.pdf|pdf}} 
 + 
 +=== Intelligent vehicles === 
 +  - J.-B. Bordes, F. Davoine, Ph. Xu and T. Denoeux. Evidential Grammars: A Compositional Approach For Scene Understanding. Application To Multimodal Street Data. Applied Soft Computing, Volume 61, Pages 1173-1185, 2017. {{:en:publi:asoc_visual_grammars_vf.pdf|pdf}} 
 +  - Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and Th. Denoeux. Multimodal Information Fusion for Urban Scene Understanding. Machine Vision and Applications, Volume 27, Issue 3, pp 331-349, 2016. {{:en:publi:mva2014_cmp.pdf|pdf}} 
 +  - Ph. Xu, F. Davoine, J.-B. Bordes, T. Denoeux. Fusion d'informations pour la compréhension de scènes. Traitement du Signal, Vol. 31, Number 1-2, pages 57-80, 2014. {{en:publi:ts2014.pdf|pdf}}
   - F. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4, pages 1495-1510, 2011. {{en:publi:abdallah_its.pdf|pdf}}   - F. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4, pages 1495-1510, 2011. {{en:publi:abdallah_its.pdf|pdf}}
 +
 +=== Fault diagnosis and reliability ===
 +  - Z. L. Cherfi, L. Oukhellou, E. Côme,  T. Denoeux and P. Aknin. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: Application to railway track circuit diagnosis. Soft Computing, Vol. 16, Number 5, pages 741-754, 2012. {{en:publi:soco2011_v3.pdf|pdf}}
   - L. Oukhellou, A. Debiolles, T. Denoeux and P. Aknin. Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Engineering Applications of Artificial Intelligence, Vol. 23, pages 117-128, 2010. {{en:revues:eaai09.pdf|pdf}}   - L. Oukhellou, A. Debiolles, T. Denoeux and P. Aknin. Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Engineering Applications of Artificial Intelligence, Vol. 23, pages 117-128, 2010. {{en:revues:eaai09.pdf|pdf}}
   - K. Worden, G. Manson, T. Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Vol. 23, Issue 6, pages 1792-1804, 2009. {{en:revues:mssp08.pdf|pdf}}   - K. Worden, G. Manson, T. Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Vol. 23, Issue 6, pages 1792-1804, 2009. {{en:revues:mssp08.pdf|pdf}}
 +  -   - S. Démotier, W. Schön and T. Denoeux. Risk Assessment Based on Weak Information using Belief Functions: A Case Study in Water Treatment, IEEE Transactions on Systems, Man and Cybernetics C, , Vol. 36, Issue 3, 382-396, 2006. {{en:revues:smcc_03_11_0140.ps|postscript}}, {{en:revues:smcc_03_11_0140.pdf|pdf}}
 +
 +=== Other applications ===
   - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Decision fusion for postal address recognition using belief functions. Expert Systems with Applications, Vol. 36, Issue 3, pages 5643-5653, 2009. {{en:revues:eswa08.pdf|pdf}}   - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Decision fusion for postal address recognition using belief functions. Expert Systems with Applications, Vol. 36, Issue 3, pages 5643-5653, 2009. {{en:revues:eswa08.pdf|pdf}}
   - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables. Traitement du Signal, Vol. 24, Issue 2, pages 133-151, 2007. {{en:revues:tds06_david.pdf|pdf}}   - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables. Traitement du Signal, Vol. 24, Issue 2, pages 133-151, 2007. {{en:revues:tds06_david.pdf|pdf}}
-  - S. Démotier, W. Schön and T. Denoeux. Risk Assessment Based on Weak Information using Belief Functions: A Case Study in Water Treatment, IEEE Transactions on Systems, Man and Cybernetics C, , Vol. 36, Issue 3, 382-396, 2006. {{en:revues:smcc_03_11_0140.ps|postscript}}, {{en:revues:smcc_03_11_0140.pdf|pdf}}+

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