1,084 results on '"Denœux, Thierry"'
Search Results
52. An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
53. Evidence-based recommender system for high-entropy alloys
54. Partial classification in the belief function framework
55. Distributed combination of belief functions
56. Logistic Regression Revisited: Belief Function Analysis
57. An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization
58. Quality of Information Sources in Information Fusion
59. Collaborative Evidential Clustering
60. ConvNet and Dempster-Shafer Theory for Object Recognition
61. An interval-valued utility theory for decision making with Dempster-Shafer belief functions
62. Calibrated model-based evidential clustering using bootstrapping
63. Combining clusterings in the belief function framework
64. Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation
65. Evidence-based data mining method to reveal similarities between materials based on physical mechanisms.
66. Quantifying Predictive Uncertainty Using Belief Functions: Different Approaches and Practical Construction
67. A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
68. Evidential Segmentation of 3D PET/CT Images
69. Fusion of Evidential CNN Classifiers for Image Classification
70. Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation
71. Decision-making with belief functions: A review
72. Robust Optimization of Demand Response Power Bids for Drinking Water Systems
73. Evidential Clustering: A Review
74. Evidential Deep Neural Networks for Uncertain Data Classification
75. Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering
76. Identification of elastic properties in the belief function framework
77. Frequency-calibrated belief functions: Review and new insights
78. Evidential Editing K-Nearest Neighbor Classifier
79. Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data
80. Belief Functions on the Real Line Defined by Transformed Gaussian Random Fuzzy Numbers
81. Joint Feature Transformation and Selection Based on Dempster-Shafer Theory
82. Identification of Elastic Properties Based on Belief Function Inference
83. k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework
84. Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images
85. A double-copula stochastic frontier model with dependent error components and correction for sample selection
86. The Classifier Chain Generalized Maximum Entropy Model for Multi-label Choice Problems
87. Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis
88. Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy
89. Quantifying Prediction Uncertainty in Regression using Random Fuzzy Sets: the ENNreg model
90. Classification Trees Based on Belief Functions
91. Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation
92. Conditioning in Dempster-Shafer Theory: Prediction vs. Revision
93. Partially-Hidden Markov Models
94. Evidential Multi-label Classification Using the Random k-Label Sets Approach
95. Distributed Data Fusion for Detecting Sybil Attacks in VANETs
96. Ranking from Pairwise Comparisons in the Belief Functions Framework
97. Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
98. Evidential calibration of binary SVM classifiers
99. Prediction of future observations using belief functions: A likelihood-based approach
100. Clustering and classification of fuzzy data using the fuzzy EM algorithm
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