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The Costs of Indeterminacy: How to Determine Them?

IEEE transactions on cybernetics, 2017-12, Vol.47 (12), p.4316-4327

2017

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Cautious weighted random forests

Expert systems with applications, 2023-03, Vol.213 (Part A), p.118883, Article 118883

2023

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ECM: An evidential version of the fuzzy c-means algorithm

Pattern recognition, 2008-04, Vol.41 (4), p.1384-1397

2008

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Cautious relational clustering: A thresholding approach

Expert systems with applications, 2020-01, Vol.139, p.112837, Article 112837

2020

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Quelle industrie de défense pour quelle Europe ?

Revue Défense nationale (Paris), 2020-07, Vol.N° 832 (7), p.61-66

Masson, Hélène

2020

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Epilepsy in the elderly: Unique challenges in an increasingly prevalent population

Epilepsy & behavior, 2020-01, Vol.102, p.106724-106724, Article 106724

2020

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Cautious label ranking with label-wise decomposition

European journal of operational research, 2015-11, Vol.246 (3), p.927-935

2015

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Cautious classification with nested dichotomies and imprecise probabilities

Soft computing (Berlin, Germany), 2017-12, Vol.21 (24), p.7447-7462

2017

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Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning

International journal of uncertainty, fuzziness, and knowledge-based systems, 2021-08, Vol.29 (4), p.537-557

2021

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Inferring a possibility distribution from empirical data

Fuzzy sets and systems, 2006-02, Vol.157 (3), p.319-340

2006

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RECM: Relational evidential c-means algorithm

Pattern recognition letters, 2009-08, Vol.30 (11), p.1015-1026

2009

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Racing trees to query partial data

Soft computing (Berlin, Germany), 2021-07, Vol.25 (14), p.9285-9305

2021

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Cautious Decision-Making for Tree Ensembles

Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023, Vol.14294, p.3-14

2023

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Evidential reasoning in large partially ordered sets

Annals of operations research, 2012-05, Vol.195 (1), p.135

2012

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Partial data querying through racing algorithms

International journal of approximate reasoning, 2018-05, Vol.96, p.36-55

2018

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Modelling and predicting partial orders from pairwise belief functions

Soft computing (Berlin, Germany), 2016-03, Vol.20 (3), p.939-950

2016

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EVCLUS: evidential clustering of proximity data

IEEE transactions on cybernetics, 2004-02, Vol.34 (1), p.95-109

2004

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Comprendre le profil des principaux fournisseurs européens d’équipements de défense

Revue Défense nationale (Paris), 2015-05, Vol.N° 780 (5), p.40-45

Masson, Hélène

2015

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Pairwise classifier combination using belief functions

Pattern recognition letters, 2007-04, Vol.28 (5), p.644-653

2007

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Dealing with Atypical Instances in Evidential Decision-Making

Scalable Uncertainty Management, 2020, Vol.12322, p.217-225

2020

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Decision fusion for postal address recognition using belief functions

Expert systems with applications, 2009-04, Vol.36 (3), p.5643-5653

2009

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Nonparametric rank-based statistics and significance tests for fuzzy data

Fuzzy sets and systems, 2005-07, Vol.153 (1), p.1-28

2005

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Classifier fusion in the Dempster–Shafer framework using optimized t-norm based combination rules

International journal of approximate reasoning, 2011-03, Vol.52 (3), p.353-374

2011

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Treatment of pseudobulbar affect in a mixed neurodegenerative disorder with compounded quinidine capsules and dextromethorphan cough syrup

SAGE open medical case reports, 2020-06, Vol.8

2020

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Clustering interval-valued proximity data using belief functions

Pattern recognition letters, 2004-01, Vol.25 (2), p.163-171

2004

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The Costs of Indeterminacy: How to Determine Them?

Cautious weighted random forests

ECM: An evidential version of the fuzzy c-means algorithm

Cautious relational clustering: A thresholding approach

Quelle industrie de défense pour quelle Europe ?

Epilepsy in the elderly: Unique challenges in an increasingly prevalent population

Cautious label ranking with label-wise decomposition

Cautious classification with nested dichotomies and imprecise probabilities

Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning

Inferring a possibility distribution from empirical data

RECM: Relational evidential c-means algorithm

Racing trees to query partial data

Cautious Decision-Making for Tree Ensembles

Evidential reasoning in large partially ordered sets

Partial data querying through racing algorithms

Modelling and predicting partial orders from pairwise belief functions

EVCLUS: evidential clustering of proximity data

Comprendre le profil des principaux fournisseurs européens d’équipements de défense

Pairwise classifier combination using belief functions

Dealing with Atypical Instances in Evidential Decision-Making

Decision fusion for postal address recognition using belief functions

Nonparametric rank-based statistics and significance tests for fuzzy data

Classifier fusion in the Dempster–Shafer framework using optimized t-norm based combination rules

Treatment of pseudobulbar affect in a mixed neurodegenerative disorder with compounded quinidine capsules and dextromethorphan cough syrup

Clustering interval-valued proximity data using belief functions

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