H. Hoos

Most-cited papers

A survey on semi-supervised learning
Jesper E. van Engelen, H. Hoos
2019Machine-mediated learning2,612 citations Open access
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Automated Algorithm Selection: Survey and Perspectives
P. Kerschke, H. Hoos, Frank Neumann, H. Trautmann
2018Evolutionary Computation509 citations
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A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
Zeynep Akata, Dan Balliet, M. de Rijke, F. Dignum +22 more
2020Computer186 citations Open access
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Adoption and Effects of Software Engineering Best Practices in Machine Learning
A. Serban, K. Blom, H. Hoos, Joost Visser
2020International Symposium on Empirical Software Engineering and Measurement161 citations Open access
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Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA
Lars Kotthoff, Chris J. Thornton, H. Hoos, Frank Hutter +1 more
2019Automated Machine Learning159 citations Open access
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Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, Lars Kotthoff, Jakob Bossek, H. Hoos +1 more
2018Evolutionary Computation79 citations Open access
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LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization
Julieta Martinez, Shobhit Zakhmi, H. Hoos, J. Little
2018European Conference on Computer Vision65 citations
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Automating data science
T. De Bie, L. De Raedt, J. Hernández-Orallo, H. Hoos +2 more
2021Communications of the ACM62 citations Open access
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Artificial intelligence to advance Earth observation: a perspective
D. Tuia, K. Schindler, B. Demir, Gustau Camps-Valls +11 more
2023arXiv.org54 citations Open access
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Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression.
W. V. van Eeden, Chuan Luo, A. van Hemert, I. Carlier +4 more
2021Psychiatry Research45 citations Open access
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, H. Hoos, Shao-Wei Cai, Qingwei Lin +2 more
2019International Joint Conference on Artificial Intelligence45 citations Open access
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The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks
Thalea Schlender, Markus Viljanen, J. V. van Rijn, F. Mohr +4 more
2023Environmental Science and Technology42 citations Open access
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Algorithm Configuration Landscapes: - More Benign Than Expected?
Y. Pushak, H. Hoos
2018Parallel Problem Solving from Nature39 citations
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Automated Machine Learning for Short-term Electric Load Forecasting
Can Wang, Thomas Bäck, H. Hoos, M. Baratchi +2 more
2019IEEE Symposium Series on Computational Intelligence30 citations
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From fear to action: AI governance and opportunities for all
Kevin Baum, Joanna J. Bryson, F. Dignum, V. Dignum +9 more
2023Frontiers of Computer Science29 citations Open access
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Software engineering practices for machine learning - Adoption, effects, and team assessment
A. Serban, K. van der Blom, H. Hoos, Joost Visser
2023Journal of Systems and Software28 citations Open access
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AutoML Loss Landscapes
Y. Pushak, H. Hoos
2022ACM Transactions on Evolutionary Learning and Optimization25 citations
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Practices for Engineering Trustworthy Machine Learning Applications
A. Serban, K. Blom, H. Hoos, Joost Visser
2021Workshop on AI Engineering - Software Engineering for AI25 citations Open access
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Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation
Aymeric Blot, A. Pernet, L. Jourdan, Marie-Éléonore Kessaci-Marmion +1 more
2017International Conference on Evolutionary Multi-Criterion Optimization22 citations Open access
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Efficient Local Search for Pseudo Boolean Optimization
Zhendong Lei, Shao-Wei Cai, Chuan Luo, H. Hoos
2021International Conference on Theory and Applications of Satisfiability Testing21 citations
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AutoML Adoption in ML Software
A. Serban, H. Hoos, Joost Visser
202121 citations
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Scalable Constraint-based Virtual Data Center Allocation
Sam Bayless, N. Kodirov, Syed M. Iqbal, I. Beschastnikh +2 more
2017International Joint Conference on Artificial Intelligence21 citations Open access
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Golden parameter search: exploiting structure to quickly configure parameters in parallel
Y. Pushak, H. Hoos
2020Annual Conference on Genetic and Evolutionary Computation20 citations Open access
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Frugal Machine Learning
Mikhail Evchenko, J. Vanschoren, H. Hoos, Marc Schoenauer +1 more
2021arXiv.org19 citations
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Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems
Aymeric Blot, Marie-Éléonore Kessaci, L. Jourdan, H. Hoos
2019Evolutionary Computation19 citations Open access
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Automated Configuration and Selection of SAT Solvers
H. Hoos, F. Hutter, Kevin Leyton-Brown
2021Handbook of Satisfiability18 citations
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Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis
Mattia Rizzini, Chris Fawcett, M. Vallati, A. Gerevini +1 more
2017Int. J. Artif. Intell. Tools18 citations Open access
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Portfolio-Based Algorithm Selection for Circuit QBFs
H. Hoos, Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider
2018International Conference on Principles and Practice of Constraint Programming17 citations
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PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation
Chuan Luo, H. Hoos, Shao-Wei Cai
2020Parallel Problem Solving from Nature14 citations
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VNF chain allocation and management at data center scale
N. Kodirov, Sam Bayless, Fabian Ruffy, I. Beschastnikh +2 more
2018Symposium on Architectures for Networking and Communications Systems14 citations Open access
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Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
L. Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel +2 more
2023AutoML13 citations Open access
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A survey on semi-supervised learning
Jesper E. van Engelen, H. Hoos
2019Machine-mediated learning13 citations Open access
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On the empirical scaling of running time for finding optimal solutions to the TSP
Zongxu Mu, Jérémie Dubois-Lacoste, H. Hoos, T. Stützle
2018Journal of Heuristics13 citations Open access
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MultiETSC: automated machine learning for early time series classification
Gilles Ottervanger, M. Baratchi, H. Hoos
2021Data mining and knowledge discovery12 citations Open access
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Opening the Black Box: Automated Software Analysis for Algorithm Selection
Damir Pulatov, Marie Anastacio, Lars Kotthoff, H. Hoos
2022AutoML11 citations
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VPint: value propagation-based spatial interpolation
Laurens Arp, M. Baratchi, H. Hoos
2022Data mining and knowledge discovery11 citations Open access
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Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling
Marie Anastacio, H. Hoos
2020Parallel Problem Solving from Nature10 citations
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Quantifying Algorithmic Improvements over Time
Lars Kotthoff, A. Fréchette, Tomasz P. Michalak, Talal Rahwan +2 more
2018International Joint Conference on Artificial Intelligence10 citations Open access
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Revisiting SATZilla Features in 2024
Hadar Shavit, H. Hoos
2024International Conference on Theory and Applications of Satisfiability Testing9 citations
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Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling
Chris Fawcett, M. Vallati, H. Hoos, A. Gerevini
2023arXiv.org9 citations Open access
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Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio
Matthias König, H. Hoos, J. V. van Rijn
2022Machine-mediated learning9 citations Open access
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Statistical Comparison of Algorithm Performance Through Instance Selection
Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon +1 more
2021International Conference on Principles and Practice of Constraint Programming9 citations Open access
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Automated Configuration of Negotiation Strategies
Bram M. Renting, H. Hoos, C. Jonker
2020Adaptive Agents and Multi-Agent Systems9 citations Open access
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Towards General Negotiation Strategies with End-to-End Reinforcement Learning
Bram Renting, T. Moerland, H. Hoos, C. Jonker
2024RLJ8 citations
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Adaptive error bounded piecewise linear approximation for time-series representation
Zhou Zhou, M. Baratchi, Gang-Quan Si, H. Hoos +1 more
2023Engineering applications of artificial intelligence8 citations
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Automated Machine Learning for COVID-19 Forecasting
J. Tetteroo, M. Baratchi, H. Hoos
2022IEEE Access8 citations Open access
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Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems
K. Blom, H. Hoos, Chuan Luo, Jeroen G. Rook
2022IEEE Transactions on Evolutionary Computation8 citations Open access
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Patterns in citation context: the case of the field of scientometrics
W. Lamers, Eck N.J. van, L. Waltman, H. Hoos
20188 citations
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Combining Automated Optimisation of Hyperparameters and Reward Shape
Julian Dierkes, Emma Cramer, H. Hoos, Sebastian Trimpe
2024RLJ7 citations
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Increasing Trust and Fairness in Machine Learning Applications within the Mortgage Industry
Wessel van Zetten, G. Ramackers, H. Hoos
2022Social Science Research Network7 citations Open access
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