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Eyke Hüllermeier

About Eyke Hüllermeier

Eyke Hüllermeier, With an exceptional h-index of 71 and a recent h-index of 45 (since 2020), a distinguished researcher at Universität Paderborn, specializes in the field of Artificial Intelligence, Machine Learning, Fuzzy Logic, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules

Identifying Copeland Winners in Dueling Bandits with Indifferences

Mitigating label noise through data ambiguation

Approximating the shapley value without marginal contributions

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration

Conformalized Credal Set Predictors

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Koopman kernel regression

Eyke Hüllermeier Information

University

Position

Professor of Computer Science

Citations(all)

20792

Citations(since 2020)

10019

Cited By

14231

hIndex(all)

71

hIndex(since 2020)

45

i10Index(all)

247

i10Index(since 2020)

165

Email

University Profile Page

Google Scholar

Eyke Hüllermeier Skills & Research Interests

Artificial Intelligence

Machine Learning

Fuzzy Logic

Bioinformatics

Top articles of Eyke Hüllermeier

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules

arXiv preprint arXiv:2404.12215

2024/4/18

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Identifying Copeland Winners in Dueling Bandits with Indifferences

2024/4/18

Viktor Bengs
Viktor Bengs

H-Index: 2

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Mitigating label noise through data ambiguation

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Julian Lienen
Julian Lienen

H-Index: 1

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Approximating the shapley value without marginal contributions

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Viktor Bengs
Viktor Bengs

H-Index: 2

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration

arXiv preprint arXiv:2403.04629

2024/3/7

Bernd Bischl
Bernd Bischl

H-Index: 31

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Thomas Augustin
Thomas Augustin

H-Index: 14

Giuseppe Casalicchio
Giuseppe Casalicchio

H-Index: 11

Conformalized Credal Set Predictors

arXiv preprint arXiv:2402.10723

2024/2/16

Alireza Javanmardi
Alireza Javanmardi

H-Index: 0

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

arXiv preprint arXiv:2402.09056

2024/2/14

Viktor Bengs
Viktor Bengs

H-Index: 2

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Willem Waegeman
Willem Waegeman

H-Index: 26

Koopman kernel regression

2024/2

Petar Bevanda
Petar Bevanda

H-Index: 0

Armin Lederer
Armin Lederer

H-Index: 5

Stefan Sosnowski
Stefan Sosnowski

H-Index: 9

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Sandra Hirche
Sandra Hirche

H-Index: 33

Shap-iq: Unified approximation of any-order shapley interactions

Advances in Neural Information Processing Systems

2024/2/13

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Barbara Hammer
Barbara Hammer

H-Index: 27

Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies—part II

4OR

2024/1/30

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Information Leakage Detection through Approximate Bayes-optimal Prediction

arXiv preprint arXiv:2401.14283

2024/1/25

Pritha Gupta
Pritha Gupta

H-Index: 3

Marcel Wever
Marcel Wever

H-Index: 6

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification

arXiv preprint arXiv:2401.13371

2024/1/24

Barbara Hammer
Barbara Hammer

H-Index: 27

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

arXiv preprint arXiv:2401.12069

2024/1/22

Barbara Hammer
Barbara Hammer

H-Index: 27

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Conformal credal self-supervised learning

2023/8/17

Julian Lienen
Julian Lienen

H-Index: 1

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

A novel Bayes’ theorem for upper probabilities

2023/8/4

Michele Caprio
Michele Caprio

H-Index: 0

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Insup Lee
Insup Lee

H-Index: 37

On the efficient implementation of classification rule learning

Advances in Data Analysis and Classification

2023/7/27

Michael Rapp
Michael Rapp

H-Index: 3

Johannes Fürnkranz
Johannes Fürnkranz

H-Index: 31

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark

2023/7/26

Mohamed Karim Belaid
Mohamed Karim Belaid

H-Index: 1

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios

2023/7/26

Barbara Hammer
Barbara Hammer

H-Index: 27

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Annotation uncertainty in the context of grammatical change

International Journal of Corpus Linguistics

2023/7/19

Marcel Wever
Marcel Wever

H-Index: 6

Michaela Geierhos
Michaela Geierhos

H-Index: 8

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification

2023/7/15

Marcel Wever
Marcel Wever

H-Index: 6

Eyke Hüllermeier
Eyke Hüllermeier

H-Index: 42

See List of Professors in Eyke Hüllermeier University(Universität Paderborn)