| Publication | Date of Publication | Type |
|---|
| NN-EVCLUS: neural network-based evidential clustering | 2023-11-23 | Paper |
| A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering | 2023-11-16 | Paper |
| evreg | 2023-11-09 | Software |
| Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models | 2023-10-31 | Paper |
| Belief functions induced by random fuzzy sets: a general framework for representing uncertain and fuzzy evidence | 2023-10-26 | Paper |
| An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization | 2023-06-30 | Paper |
| Logistic Regression Revisited: Belief Function Analysis | 2023-06-30 | Paper |
| A distributional approach for soft clustering comparison and evaluation | 2023-06-02 | Paper |
| An evidential neural network model for regression based on random fuzzy numbers | 2023-06-02 | Paper |
| Quantifying Prediction Uncertainty in Regression using Random Fuzzy Sets: the ENNreg model | 2023-01-03 | Paper |
| Lymphoma segmentation from 3D PET-CT images using a deep evidential network | 2022-09-02 | Paper |
| Belief functions and rough sets: survey and new insights | 2022-02-22 | Paper |
| Glenn Shafer -- a short biography | 2022-01-20 | Paper |
| A trivariate Gaussian copula stochastic frontier model with sample selection | 2021-10-27 | Paper |
| Calibrated model-based evidential clustering using bootstrapping | 2021-05-03 | Paper |
| An interval-valued utility theory for decision making with Dempster-Shafer belief functions | 2020-10-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5121458 | 2020-09-14 | Paper |
| Joint Feature Transformation and Selection Based on Dempster-Shafer Theory | 2020-08-18 | Paper |
| A new evidential \(K\)-nearest neighbor rule based on contextual discounting with partially supervised learning | 2020-02-26 | Paper |
| Decision-making with belief functions: a review | 2019-10-18 | Paper |
| Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression | 2019-06-03 | Paper |
| Identification of elastic properties in the belief function framework | 2019-02-20 | Paper |
| Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions | 2019-02-07 | Paper |
| Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis | 2018-11-30 | Paper |
| The Classifier Chain Generalized Maximum Entropy Model for Multi-label Choice Problems | 2018-11-30 | Paper |
| Identification of elastic properties based on belief function inference | 2018-07-06 | Paper |
| Belief rule-based classification system: extension of FRBCS in belief functions framework | 2018-05-17 | Paper |
| Clustering and classification of fuzzy data using the fuzzy EM algorithm | 2018-02-19 | Paper |
| Frequency-calibrated belief functions: review and new insights | 2017-12-22 | Paper |
| A double-copula stochastic frontier model with dependent error components and correction for sample selection | 2016-12-15 | Paper |
| Evidential calibration of binary SVM classifiers | 2016-04-22 | Paper |
| Prediction of future observations using belief functions: a likelihood-based approach | 2016-04-22 | Paper |
| Modeling dependence between error components of the stochastic frontier model using copula: application to intercrop coffee production in Northern Thailand | 2015-12-07 | Paper |
| Evidential Editing K-Nearest Neighbor Classifier | 2015-11-10 | Paper |
| Statistical Inference from Ill-known Data Using Belief Functions | 2015-10-09 | Paper |
| Likelihood-based belief function: justification and some extensions to low-quality data | 2014-07-29 | Paper |
| Rejoinder on ``Likelihood-based belief function: justification and some extensions to low-quality data | 2014-07-29 | Paper |
| Forecasting using belief functions: an application to marketing econometrics | 2014-04-29 | Paper |
| Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device | 2013-07-10 | Paper |
| Constructing Rule-Based Models Using the Belief Functions Framework | 2012-11-30 | Paper |
| Evidential reasoning in large partially ordered sets. Application to multi-label classification, ensemble clustering and preference aggregation | 2012-11-15 | Paper |
| CECM: constrained evidential \(C\)-means algorithm | 2012-07-13 | Paper |
| Relevance and truthfulness in information correction and fusion | 2012-07-05 | Paper |
| Maximum likelihood estimation from fuzzy data using the EM algorithm | 2012-06-19 | Paper |
| Maximum likelihood estimation from fuzzy data using the EM algorithm | 2011-11-01 | Paper |
| Ensemble clustering in the belief functions framework | 2011-01-31 | Paper |
| Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning | 2010-09-21 | Paper |
| The unnormalized Dempster's rule of combination: A new justification from the least commitment principle and some extensions | 2010-08-23 | Paper |
| Representing uncertainty on set-valued variables using belief functions | 2010-05-07 | Paper |
| Belief Function Correction Mechanisms | 2010-04-23 | Paper |
| Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities | 2010-03-19 | Paper |
| Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence | 2009-07-17 | Paper |
| Belief Functions and Cluster Ensembles | 2009-07-02 | Paper |
| Fuzzy multidimensional scaling | 2009-04-06 | Paper |
| Extending stochastic ordering to belief functions on the real line | 2009-03-25 | Paper |
| Learning from partially supervised data using mixture models and belief functions | 2009-03-09 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3614534 | 2009-03-09 | Paper |
| Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities | 2008-09-16 | Paper |
| On Latent Belief Structures | 2008-09-16 | Paper |
| ECM: An evidential version of the fuzzy \(c\)-means algorithm | 2008-02-07 | Paper |
| INNER AND OUTER APPROXIMATION OF BELIEF STRUCTURES USING A HIERARCHICAL CLUSTERING APPROACH | 2007-03-27 | Paper |
| Constructing belief functions from sample data using multinomial confidence regions | 2006-10-10 | Paper |
| Symbolic and Quantitative Approaches to Reasoning with Uncertainty | 2006-06-23 | Paper |
| In memoriam: Philippe Smets (1938--2005) | 2006-06-16 | Paper |
| In memoriam: Philippe Smets (1938--2005) | 2006-06-09 | Paper |
| Inferring a possibility distribution from empirical data | 2006-01-24 | Paper |
| Nonparametric rank-based statistics and significance tests for fuzzy data | 2005-06-13 | Paper |
| Nonparametric regression analysis of uncertain and imprecise data using belief functions | 2004-10-04 | Paper |
| Approximating the combination of belief functions using the fast Möbius transform in a coarsened frame. | 2003-07-30 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4787413 | 2003-02-25 | Paper |
| Multidimensional scaling of fuzzy dissimilarity data | 2002-09-30 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4330359 | 2002-05-15 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4329220 | 2002-04-29 | Paper |
| Handling possibilistic labels in pattern classification using evidential reasoning. | 2001-01-01 | Paper |
| Reasoning with imprecise belief structures | 2000-01-04 | Paper |
| Modeling vague beliefs using fuzzy-valued belief structures. | 2000-01-01 | Paper |
| Un algorithme de classification automatique non paramétrique | 1997-06-16 | Paper |
