Ghent University Academic Bibliography

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The use of partial order relations and measure theory in developing objective measures of explainability

Wim De Mulder (UGent)

(2022) Explainable and transparent AI and multi-agent systems (EXTRAAMAS 2022). In Lecture Notes in Artificial Intelligence 13283. p.173-186
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- Conference Paper
- P1
- open access
The KL-divergence between a graph model and its fair I-projection as a fairness regularizer

Maarten Buyl (UGent) and Tijl De Bie (UGent)

(2021) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021 : RESEARCH TRACK, PT II. In Lecture Notes in Artificial Intelligence 12976. p.351-366
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Fuzzy-rough nearest neighbour approaches for emotion detection in tweets

Olha Kaminska (UGent) , Chris Cornelis (UGent) and Veronique Hoste (UGent)

(2021) ROUGH SETS (IJCRS 2021). In Lecture Notes in Artificial Intelligence 12872. p.231-246
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- Conference Paper
- P1
Physical human-robot interaction through hugs with CASTOR robot

María Gaitán-Padilla, Juan C. Maldonado-Mejía, Leodanis Fonseca, Maria Jose Pinto Bernal (UGent) , Diego Casas, Marcela Múnera and Carlos A. Cifuentes

(2021) SOCIAL ROBOTICS, ICSR 2021. In Lecture Notes in Artificial Intelligence 13086. p.814-818
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Perspectives and views of flexible query answering

Troels Andreasen, Guy De Tré (UGent) , Janusz Kacprzyk, Henrik Legind Larsen, Gloria Bordogna and Slawomir Zadrozny

(2021) FLEXIBLE QUERY ANSWERING SYSTEMS (FQAS 2021). In Lecture Notes in Artificial Intelligence 12871. p.3-14
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Dealing with data veracity in multiple criteria handling : an LSP-based sibling approach

Guy De Tré (UGent) and Jozo J. Dujmovic

(2021) FLEXIBLE QUERY ANSWERING SYSTEMS (FQAS 2021). In Lecture Notes in Artificial Intelligence 12871. p.82-96
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Attribute reduction using functional dependency relations in rough set theory

Mauricio Restrepo and Chris Cornelis (UGent)

(2021) ROUGH SETS (IJCRS 2021). In Lecture Notes in Artificial Intelligence 12872. p.90-96
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Flexible query answering systems : 14th International Conference : FQAS 2021, Proceedings

Troels Andreasen, Guy De Tré (UGent) , Janusz Kacprzyk, Henrik Legind Larsen, Gloria Bordogna and Sławomir Zadrożny

(2021) In Lecture Notes in Artificial Intelligence 12871.
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- Conference Paper
- P1
- open access
Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2020) IJCRS 2020 : Rough Sets. In Lecture Notes in Artificial Intelligence 12179. p.491-499
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Rough sets meet statistics : a new view on rough set reasoning about numerical data

Marko Palangetić (UGent) , Chris Cornelis (UGent) , Salvatore Greco and Roman Słowiński

(2020) Rough sets, International joint conference, IJCRS 2020. In Lecture Notes in Artificial Intelligence 12179. p.78-92

Academic Bibliography

The use of partial order relations and measure theory in developing objective measures of explainability

The KL-divergence between a graph model and its fair I-projection as a fairness regularizer

Fuzzy-rough nearest neighbour approaches for emotion detection in tweets

Physical human-robot interaction through hugs with CASTOR robot

Perspectives and views of flexible query answering

Dealing with data veracity in multiple criteria handling : an LSP-based sibling approach

Attribute reduction using functional dependency relations in rough set theory

Flexible query answering systems : 14th International Conference : FQAS 2021, Proceedings

Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

Rough sets meet statistics : a new view on rough set reasoning about numerical data

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