H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 66 Citations 27,948 199 World Ranking 1061 National Ranking 12

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to automated algorithm selection and configuration for optimization and machine learning

2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of automated reasoning and the development of widely used methods for algorithm selection and configuration

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Machine learning

Holger H. Hoos spends much of his time researching Local search, Algorithm, Mathematical optimization, Machine learning and Artificial intelligence. His work carried out in the field of Local search brings together such families of science as Heuristics, Heuristic, Vertex, Solver and Boolean satisfiability problem. As a part of the same scientific family, Holger H. Hoos mostly works in the field of Algorithm, focusing on Categorical variable and, on occasion, Computational problem.

Travelling salesman problem and Optimization problem are the primary areas of interest in his Mathematical optimization study. His Machine learning research integrates issues from Independence and Conditional dependence. The concepts of his Artificial intelligence study are interwoven with issues in Mathematical economics, Ceteris paribus and Preference.

His most cited work include:

  • MAX-MIN Ant system (2218 citations)
  • Stochastic Local Search: Foundations & Applications (1165 citations)
  • Sequential model-based optimization for general algorithm configuration (1111 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Algorithm, Local search, Mathematical optimization, Artificial intelligence and Solver. His Algorithm research includes elements of Range, Function and Set. He focuses mostly in the field of Local search, narrowing it down to matters related to Search algorithm and, in some cases, Stochastic programming.

His work in the fields of Travelling salesman problem, Iterated local search, Heuristic and Ant colony optimization algorithms overlaps with other areas such as Portfolio. His research in Artificial intelligence focuses on subjects like Machine learning, which are connected to Data mining. His Solver research focuses on Theoretical computer science and how it relates to Scheduling.

He most often published in these fields:

  • Algorithm (33.45%)
  • Local search (29.14%)
  • Mathematical optimization (27.70%)

What were the highlights of his more recent work (between 2014-2020)?

  • Algorithm (33.45%)
  • Solver (16.19%)
  • Mathematical optimization (27.70%)

In recent papers he was focusing on the following fields of study:

Holger H. Hoos focuses on Algorithm, Solver, Mathematical optimization, Set and Range. His is doing research in State, Local search and Travelling salesman problem, both of which are found in Algorithm. His Solver research incorporates themes from Time complexity, Algorithm design, Theoretical computer science and Parameterized complexity.

His research brings together the fields of Algorithm configuration and Mathematical optimization. While the research belongs to areas of Set, he spends his time largely on the problem of Benchmark, intersecting his research to questions surrounding Hyperparameter and Population-based incremental learning. His Range study combines topics from a wide range of disciplines, such as Quality, Variety, Machine learning and Hyperparameter optimization.

Between 2014 and 2020, his most popular works were:

  • Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA (312 citations)
  • A survey on semi-supervised learning (150 citations)
  • A survey on semi-supervised learning (150 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Algorithm
  • Programming language

His scientific interests lie mostly in Mathematical optimization, Algorithm, Solver, Machine learning and Artificial intelligence. The study incorporates disciplines such as Algorithm configuration and Set in addition to Mathematical optimization. His Algorithm study incorporates themes from Lasso and Markov chain.

His Solver research incorporates elements of Theoretical computer science, Boolean satisfiability problem, Benchmark and Answer set programming. His research in Machine learning intersects with topics in Recall, Data mining and Interface. His study in the field of Codebook is also linked to topics like Running time.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

MAX-MIN Ant system

Thomas Stützle;Holger H. Hoos.
Future Generation Computer Systems (2000)

4123 Citations

Stochastic Local Search: Foundations & Applications

Holger Hoos;Thomas Sttzle.
(2004)

2143 Citations

Sequential model-based optimization for general algorithm configuration

Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown.
learning and intelligent optimization (2011)

1824 Citations

MAX-MIN Ant System and local search for the traveling salesman problem

T. Stutzle;H. Hoos.
ieee international conference on evolutionary computation (1997)

1182 Citations

CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos.
Journal of Artificial Intelligence Research (2004)

1172 Citations

Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

Chris Thornton;Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown.
knowledge discovery and data mining (2013)

1166 Citations

SATzilla: portfolio-based algorithm selection for SAT

Lin Xu;Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown.
Journal of Artificial Intelligence Research (2008)

863 Citations

ParamILS: An Automatic Algorithm Configuration Framework

Frank Hutter;Thomas Stuetzle;Kevin Leyton-Brown;Holger H. Hoos.
arXiv e-prints (2014)

847 Citations

Critical assessment of automated flow cytometry data analysis techniques

Nima Aghaeepour;Greg Finak.
Nature Methods (2013)

531 Citations

Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA

Lars Kotthoff;Chris Thornton;Holger H. Hoos;Frank Hutter.
Journal of Machine Learning Research (2017)

480 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Holger H. Hoos

Thomas Stützle

Thomas Stützle

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Richard H. Scheuermann

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Carmel Domshlak

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