Thierry Denoeux
researcher
Facts
14 properties- Instance of
- human
- Date of birth
- 1962
- Occupation
- researcher
- Field of work
- artificial intelligence[4]
- Educated at
- École Nationale des Ponts et Chaussées
- Doctoral advisor
- Antoine Frérot[6]
- Doctoral student
- Sébastien Populaire, Wikidata item[9][10]
- Family name
- Denœux[11]
- Maintained by WikiProject
- WikiProject Mathematics[13]
- Member of
- Institut Universitaire de France[7]
🏷️ Also known as
en Thierry Denoeux
en Thierry Denœux
nl Thierry Denœux
🔖 Identifiers · 17
- ISNI
- 0000000029897510
- ORCID iD
- 0000-0002-0660-5436
- VIAF cluster ID
- 75466033
- Library of Congress authority ID
- n90600923
- DBLP author ID
- 70/2550
- Dimensions author ID
- 010130030200.22
- IUF member ID
- 1973
- IdRef ID
- 058663495
- Mathematics Genealogy Project ID
- 81964
- NUKAT ID
- n2019164169
- National Library of Israel ID (old)
- 004684836
- National Library of Israel J9U ID
- 987007364514405171
Show all 17 identifiers +5
- Persée author ID
- 703626
- Theses.fr person ID
- 058663495
- WorldCat Entities ID
- E39PBJtH4pVTyQYmrxPG7J6tKd
- Yale LUX ID
- person/9ac3ec1b-9bbd-4caa-9dbc-11ed496aae2b
- ZbMATH author ID
- denoux.thierry
🔗 Connections
Author of 39
40 years of Dempster–Shafer theory,
A Distributed Rough Evidential <i>K</i>-NN Classifier: Integrating Feature Reduction and Classification,
A double-copula stochastic frontier model with dependent error components and correction for sample selection,
A general framework for evaluating and comparing soft clusterings,
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge,
An evidential classifier based on Dempster-Shafer theory and deep learning,
An evidential classifier based on feature selection and two-step classification strategy,
A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
+31 more
← Authored by 39
40 years of Dempster–Shafer theory,
A Distributed Rough Evidential <i>K</i>-NN Classifier: Integrating Feature Reduction and Classification,
A double-copula stochastic frontier model with dependent error components and correction for sample selection,
A general framework for evaluating and comparing soft clusterings,
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge,
An evidential classifier based on Dempster-Shafer theory and deep learning,
An evidential classifier based on feature selection and two-step classification strategy,
A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
+31 more
Affiliated with 7
Field of work 2
Country of citizenship 1
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Employer 1
Given name 1
Instance of 1
Maintained by WikiProject 1
Occupation 1
Sex or gender 1
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