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Refinado por: tipo de recurso: Anais de Congresso remover Base de dados/Biblioteca: SpringerLINK Lecture Notes in Computer Science (2015) remover
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1
Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble
Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble

Grina, Fares ; Elouedi, Zied ; Lefevre, Eric

Scalable Uncertainty Management, 2022, Vol.13562, p.235-248 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
Material Type:
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An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers

Denœux, Thierry

Belief Functions: Theory and Applications, 2022, Vol.13506, p.57-66 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation
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Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation

Huang, Ling ; Denoeux, Thierry ; Vera, Pierre ; Ruan, Su

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022, Vol.13435, p.401-411 [Periódico revisado por pares]

Cham: Springer Nature Switzerland

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4
Fusion of Evidential CNN Classifiers for Image Classification
Fusion of Evidential CNN Classifiers for Image Classification
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Fusion of Evidential CNN Classifiers for Image Classification

Tong, Zheng ; Xu, Philippe ; Denœux, Thierry

Belief Functions: Theory and Applications, 2021, Vol.12915, p.168-176 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise

Grina, Fares ; Elouedi, Zied ; Lefevre, Eric

Modeling Decisions for Artificial Intelligence, 2021, Vol.12898, p.181-192 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory
Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory
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Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory

Grina, Fares ; Elouedi, Zied ; Lefèvre, Eric

Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021, Vol.12897, p.342-353 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study
Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study
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Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study

Idmessaoud, Yassir ; Dubois, Didier ; Guiochet, Jérémie

Scalable Uncertainty Management, 2020, Vol.12322, p.141-155 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Cluster Decomposition of the Body of Evidence
Cluster Decomposition of the Body of Evidence
Material Type:
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Cluster Decomposition of the Body of Evidence

Lepskiy, Alexander

Belief Functions: Theory and Applications, p.163-173 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning
Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning
Material Type:
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Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning

Wang, Shuyue ; Liu, Zhunga ; Zhang, Zuowei ; Li, Yang

Belief Functions: Theory and Applications, p.153-162 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Ensemble of Adapters for Transfer Learning Based on Evidence Theory
Ensemble of Adapters for Transfer Learning Based on Evidence Theory
Material Type:
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Ensemble of Adapters for Transfer Learning Based on Evidence Theory

Lv, Ying ; Zhang, Bofeng ; Yue, Xiaodong ; Xu, Zhikang ; Liu, Wei

Belief Functions: Theory and Applications, p.66-75 [Periódico revisado por pares]

Cham: Springer International Publishing

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