Holger H. Hoos

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 106

Top Venues

TU Darmstadt (PHD)

Education History

TU Darmstadt

PHD

Publications

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Software engineering practices for machine learning - Adoption, effects, and team assessment. J. Syst. Softw. 209 (2024)
Julia Wasala, Suzanne M. Marselis, Laurens Arp, Holger H. Hoos, Nicolas Longépé, Mitra Baratchi
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images. Remote. Sens. 16 (3) (2024)
Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
Automated machine learning: past, present and future. Artif. Intell. Rev. 57 (5) (2024)
Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe
Combining Automated Optimisation of Hyperparameters and Reward Shape. CoRR (2024)
Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
Towards General Negotiation Strategies with End-to-End Reinforcement Learning. CoRR (2024)
Matthias König, Holger H. Hoos, Jan N. van Rijn
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing. AAAI (2024)
Jeroen Rook, Holger H. Hoos, Heike Trautmann
Multi-objective Ranking using Bootstrap Resampling. GECCO Companion (2024)
Hadar Shavit, Holger H. Hoos
Revisiting SATZilla Features in 2024. SAT (2024)
Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. CoRR (2024)
Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider
Artificial intelligence to advance Earth observation: a perspective. CoRR (2023)
Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. CoRR (2023)
Yi Chu, Chuan Luo, Holger H. Hoos, Haihang You
Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization. Expert Syst. Appl. 213 (Part) (2023)
Matthias König, Annelot Bosman, Holger H. Hoos, Jan N. van Rijn
Critically Assessing the State of the Art in CPU-based Local Robustness Verification. SafeAI@AAAI (2023)
Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. AutoML (2023)
Zhou Zhou, Mitra Baratchi, Gangquan Si, Holger H. Hoos, Gang Huang
Adaptive error bounded piecewise linear approximation for time-series representation. Eng. Appl. Artif. Intell. 126 (2023)
Chris Fawcett, Mauro Vallati, Holger H. Hoos, Alfonso Emilio Gerevini
Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling. CoRR (2023)
Kevin Baum, Joanna Bryson, Frank Dignum, Virginia Dignum, Marko Grobelnik, Holger H. Hoos, Morten Irgens, Paul Lukowicz, Catelijne Muller, Francesca Rossi, John Shawe-Taylor, Andreas Theodorou, Ricardo Vinuesa
From fear to action: AI governance and opportunities for all. Frontiers Comput. Sci. 5 (2023)
Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports 13 (11) (2023)
Laurens Arp, Mitra Baratchi, Holger H. Hoos
VPint: value propagation-based spatial interpolation. Data Min. Knowl. Discov. 36 (5) (2022)
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
Automated Configuration and Usage of Strategy Portfolios Mixed-Motive Bargaining. AAMAS (2022)
Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Holger H. Hoos, Catholijn M. Jonker, Yasser Mohammad, Bram M. Renting
The 13th International Automated Negotiating Agent Competition Challenges and Results. ACAN@IJCAI (2022)
Matthias König, Holger H. Hoos, Jan N. van Rijn
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio. Mach. Learn. 111 (12) (2022)
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
Automating data science. Commun. ACM 65 (3) (2022)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. 29 (5) (2022)
Koen van der Blom, Holger H. Hoos, Chuan Luo, Jeroen G. Rook
Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos
Automated Machine Learning for COVID-19 Forecasting. IEEE Access 10 (2022)
Marie Anastacio, Théo Matricon, Holger H. Hoos
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
Exact stochastic constraint optimisation with applications in network analysis. Artif. Intell. 304 (2022)
Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos
Opening the Black Box: Automated Software Analysis for Algorithm Selection. AutoML (2022)
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
Automated Configuration and Usage of Strategy Portfolios for Bargaining. CoRR (2022)
Yasha Pushak, Holger H. Hoos
AutoML Loss Landscapes. ACM Trans. Evol. Learn. Optim. 2 (3) (2022)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE (2021)
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
Automating Data Science: Prospects and Challenges. CoRR (2021)
Zhendong Lei, Shaowei Cai, Chuan Luo, Holger H. Hoos
Efficient Local Search for Pseudo Boolean Optimization. SAT (2021)
Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos
MultiETSC: automated machine learning for early time series classification. Data Min. Knowl. Discov. 35 (6) (2021)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. CoRR (2021)
Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon, Holger H. Hoos
Statistical Comparison of Algorithm Performance Through Instance Selection. CP (2021)
Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag
Frugal Machine Learning. CoRR (2021)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) (2021)
Yasha Pushak, Holger H. Hoos
Golden parameter search: exploiting structure to quickly configure parameters in parallel. GECCO (2020)
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
Automated Configuration of Negotiation Strategies. AAMAS (2020)
Marie Anastacio, Holger H. Hoos
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling. GECCO Companion (2020)
Jesper E. van Engelen, Holger H. Hoos
A survey on semi-supervised learning. Mach. Learn. 109 (2) (2020)
Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) (2020)
Yasha Pushak, Holger H. Hoos
Advanced statistical analysis of empirical performance scaling. GECCO (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (2) (2020)
Chuan Luo, Holger H. Hoos, Shaowei Cai
PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation. PPSN (1) (2020)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM (2020)
Jesper E. van Engelen, Holger H. Hoos
Semi-supervised Co-ensembling for AutoML. TAILOR (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (5) (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (3) (2020)
Yi Chu, Chuan Luo, Holger H. Hoos, Qingwei Lin, Haihang You
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. CoRR (2020)
Yasha Pushak, Zongxu Mu, Holger H. Hoos
Empirical scaling analyzer: An automated system for empirical analysis of performance scaling. AI Commun. 33 (2) (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (4) (2020)
Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53 (8) (2020)
Sam Bayless, Nodir Kodirov, Syed M. Iqbal, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
Scalable constraint-based virtual data center allocation. Artif. Intell. 278 (2020)
Lindsey Burggraaff, Eelke B. Lenselink, Willem Jespers, Jesper E. van Engelen, Brandon J. Bongers, Marina Gorostiola González, Rongfang Liu, Holger H. Hoos, Herman W. T. van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen
Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors. J. Chem. Inf. Model. 60 (9) (2020)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR (2020)
Marie Anastacio, Holger H. Hoos
Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling. PPSN (1) (2020)
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
Automated Configuration of Negotiation Strategies. CoRR (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (1) (2020)
Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO (2019)
Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
Automated Machine Learning for Short-term Electric Load Forecasting. SSCI (2019)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 26 (6) (2019)
Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. 27 (1) (2019)
Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. IJCAI (2019)
Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. Evol. Comput. 27 (1) (2019)
Holger H. Hoos, Frank Neumann, Heike Trautmann
Foreword. Evol. Comput. 27 (1) (2019)
Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann
Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. 26 (4) (2018)
Holger H. Hoos, Tomás Peitl, Friedrich Slivovsky, Stefan Szeider
Portfolio-Based Algorithm Selection for Circuit QBFs. CP (2018)
Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
Efficient benchmarking of algorithm configurators via model-based surrogates. Mach. Learn. 107 (1) (2018)
Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little
LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization. ECCV (16) (2018)
Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
Automated Algorithm Selection: Survey and Perspectives. CoRR (2018)
Zongxu Mu, Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle
On the empirical scaling of running time for finding optimal solutions to the TSP. J. Heuristics 24 (6) (2018)
Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
VNF chain allocation and management at data center scale. ANCS (2018)
Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
VNF chain abstraction for cloud service providers. ANCS (2018)
Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI (2018)
Andrea F. Bocchese, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
Performance robustness of AI planners in the 2014 International Planning Competition. AI Commun. 31 (6) (2018)
Yasha Pushak, Holger H. Hoos
Algorithm Configuration Landscapes: - More Benign Than Expected? PPSN (2) (2018)
Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
Quantifying Algorithmic Improvements over Time. IJCAI (2018)
Tijl De Bie, Luc De Raedt, Holger H. Hoos, Padhraic Smyth
Automating Data Science (Dagstuhl Seminar 18401). Dagstuhl Reports 8 (9) (2018)
Marius Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). IJCAI (2017)
Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Torsten Schaub
Automatic construction of parallel portfolios via algorithm configuration. Artif. Intell. 244 (2017)
Chris Fawcett, Lars Kotthoff, Holger H. Hoos
Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers. CoRR (2017)
Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown, Frank Hutter
OASC-2017: *Zilla Submission. OASC (2017)
Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates. CoRR (2017)
Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis. Int. J. Artif. Intell. Tools 26 (1) (2017)
Sam Bayless, Nodir Kodirov, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
Scalable Constraint-based Virtual Data Center Allocation. IJCAI (2017)
Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. J. Mach. Learn. Res. 18 (2017)
Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. EMO (2017)
Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown
The Configurable SAT Solver Challenge (CSSC). Artif. Intell. 243 (2017)
Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger H. Hoos, Thomas Stützle
An Experimental Study of Adaptive Capping in irace. LION (2017)
Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos
Efficient Parameter Importance Analysis via Ablation with Surrogates. AAAI (2017)
Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
Using the Shapley Value to Analyze Algorithm Portfolios. AAAI (2016)
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
ASlib: A benchmark library for algorithm selection. Artif. Intell. 237 (2016)
Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown
Quantifying the Similarity of Algorithm Configurations. LION (2016)
Chris Fawcett, Holger H. Hoos
Analysing differences between algorithm configurations through ablation. J. Heuristics 22 (4) (2016)
Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
SATenstein: Automatically building local search SAT solvers from components. Artif. Intell. 232 (2016)
Sam Bayless, Holger H. Hoos, Alan J. Hu
Scalable, high-quality, SAT-based multi-layer escape routing. ICCAD (2016)
Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION (2016)

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Publication Activity (10 Years)

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Holger H. Hoos