Holger Hoos

Holger Hoos

Universiteit Leiden

H-index: 79

Europe-Netherlands

About Holger Hoos

Holger Hoos, With an exceptional h-index of 79 and a recent h-index of 49 (since 2020), a distinguished researcher at Universiteit Leiden, specializes in the field of Artificial Intelligence, Machine Learning, Automated Reasoning, Empirical Algorithmics, Automated Algorithm Design.

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

Space and Artificial Intelligence (Dagstuhl Seminar 23461)

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing

Critically Assessing the State of the Art in Neural Network Verification

Automated machine learning: past, present and future

Software engineering practices for machine learning—Adoption, effects, and team assessment

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Competitions in AI--Robustly Ranking Solvers Using Statistical Resampling

The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks

Holger Hoos Information

University

Position

The Netherlands & University of British Columbia Canada

Citations(all)

39714

Citations(since 2020)

16175

Cited By

29707

hIndex(all)

79

hIndex(since 2020)

49

i10Index(all)

202

i10Index(since 2020)

142

Email

University Profile Page

Universiteit Leiden

Google Scholar

View Google Scholar Profile

Holger Hoos Skills & Research Interests

Artificial Intelligence

Machine Learning

Automated Reasoning

Empirical Algorithmics

Automated Algorithm Design

Top articles of Holger Hoos

Title

Journal

Author(s)

Publication Date

Space and Artificial Intelligence (Dagstuhl Seminar 23461)

Sašo Džeroski

Holger H Hoos

Bertrand Le Saux

Leendert van der Torre

Ana Kostovska

2024

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing

Matthias König

Holger H Hoos

Jan N van Rijn

2024

Critically Assessing the State of the Art in Neural Network Verification

Matthias König

Annelot W Bosman

Holger H Hoos

Jan N van Rijn

2024

Automated machine learning: past, present and future

Artificial Intelligence Review

Mitra Baratchi

Can Wang

Steffen Limmer

Jan N van Rijn

Holger Hoos

...

2024/5

Software engineering practices for machine learning—Adoption, effects, and team assessment

Journal of Systems and Software

Alex Serban

Koen van der Blom

Holger Hoos

Joost Visser

2024/3/1

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Remote Sensing

Julia Wąsala

Suzanne Marselis

Laurens Arp

Holger Hoos

Nicolas Longépé

...

2024/1/23

Competitions in AI--Robustly Ranking Solvers Using Statistical Resampling

arXiv preprint arXiv:2308.05062

Chris Fawcett

Mauro Vallati

Holger H Hoos

Alfonso E Gerevini

2023/8/9

The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks

Environmental Science & Technology

Thalea Schlender

Markus Viljanen

Jan N van Rijn

Felix Mohr

Willie JGM Peijnenburg

...

2023/6/14

Artificial intelligence to advance Earth observation: a perspective

arXiv preprint arXiv:2305.08413

Devis Tuia

Konrad Schindler

Begüm Demir

Gustau Camps-Valls

Xiao Xiang Zhu

...

2023/5/15

Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization

Expert Systems with Applications

Yi Chu

Chuan Luo

Holger H Hoos

Haihang You

2023/3/1

Q (D) O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML

Lennart Oswald Purucker

Lennart Schneider

Marie Anastacio

Joeran Beel

Bernd Bischl

...

2023/12/2

A preliminary study of critical robustness distributions in neural network verification

Proceedings of the 6th workshop on formal methods for ML-enabled autonomous systems

Annelot W Bosman

Holger H Hoos

Jan N van Rijn

2023

Adaptive error bounded piecewise linear approximation for time-series representation

Engineering Applications of Artificial Intelligence

Zhou Zhou

Mitra Baratchi

Gangquan Si

Holger H Hoos

Gang Huang

2023/11/1

Critically Assessing the State of the Art in CPU-based Local Robustness Verification

Matthias König

Annelot W Bosman

Holger H Hoos

Jan N van Rijn

2023

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

Koen Van der Blom

Holger H Hoos

Chuan Luo

Jeroen G Rook

2022/10/17

Bayesian Weak Supervision via an Optimal Transport Approach

Putra Manggala

Holger Hoos

Eric Nalisnick

2022/7/26

Challenges of acquiring compositional inductive biases via meta-learning

Eric Mitchell

Chelsea Finn

Chris Manning

2021/8/18

Automated Configuration and Usage of Strategy Portfolios for Bargaining

arXiv preprint arXiv:2212.10228

Bram M Renting

Holger H Hoos

Catholijn M Jonker

2022/12/20

The 13th international automated negotiating agent competition challenges and results

Reyhan Aydoğan

Tim Baarslag

Katsuhide Fujita

Holger H Hoos

Catholijn M Jonker

...

2022/7/22

Opening the black box: Automated software analysis for algorithm selection

Damir Pulatov

Marie Anastacio

Lars Kotthoff

Holger Hoos

2022/9/19

See List of Professors in Holger Hoos University(Universiteit Leiden)

Co-Authors

H-index: 84
Thomas Stützle

Thomas Stützle

Université Libre de Bruxelles

H-index: 82
Frank Hutter

Frank Hutter

Albert-Ludwigs-Universität Freiburg

H-index: 56
Torsten Schaub

Torsten Schaub

Universität Potsdam

H-index: 38
Carmel Domshlak

Carmel Domshlak

Technion - Israel Institute of Technology

H-index: 38
Nima Aghaeepour

Nima Aghaeepour

Stanford University

H-index: 34
Marius Lindauer

Marius Lindauer

Leibniz Universität Hannover

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