Holger H. Hoos

301 papers A* 27A 31B 8C 3Misc 8Journal 130Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Reproducibility Has a Problem Statement Problem. CoRR Thijs Snelleman, Peter Lundestad Lawrence, Holger H. Hoos, Odd Erik Gundersen
2026	A*	`conf`	Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series. AAAI Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
2026	J	`jnl`	Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation. CoRR Wadie Skaf, Felix Kern, Aryamaan Basu Roy, Tejas Pradhan, Roman Kalkreuth, Holger H. Hoos
2025	J	`jnl`	AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With Atmospheric Case Studies. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Julia Wasala, Joannes D. Maasakkers, Berend J. Schuit, Gijs Leguijt, Ilse Aben, Rochelle Schneider, Holger H. Hoos, Mitra Baratchi
2025	—	`conf`	CTRAIN - A Training Library for Certifiably Robust Neural Networks (Extended Abstract). SAIV Konstantin Kaulen, Holger H. Hoos
2025	—	`conf`	Codetector: A Framework for Zero-Shot Detection of AI-Generated Code. LION (2) Nadim Adham, Henning Duwe, Holger H. Hoos
2025	A*	`conf`	Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification. AAAI Konstantin Kaulen, Matthias König, Holger H. Hoos
2025	—	`conf`	Empirical Analysis of Upper Bounds for Robustness Distributions Using Adversarial Attacks. LION (1) Aaron Berger, Nils Eberhardt, Annelot W. Bosman, Henning Duwe, Holger H. Hoos, Jan N. van Rijn
2025	J	`jnl`	GraphBench: Next-generation graph learning benchmarking. CoRR Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
2025	J	`jnl`	Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks. CoRR Nick Kocher, Christian Wassermann, Leona Hennig, Jonas Seng, Holger H. Hoos, Kristian Kersting, Marius Lindauer, Matthias S. Müller
2025	J	`jnl`	Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems. Ann. Oper. Res. Hannes Schwarz, Lars Kotthoff, Holger H. Hoos, Wolf Fichtner, Valentin Bertsch
2025	A*	`conf`	KernelMatmul: Scaling Gaussian Processes to Large Time Series. AAAI Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek
2025	J	`jnl`	Mitigating representation bias caused by missing pixels in methane plume detection. CoRR Julia Wasala, Joannes D. Maasakkers, Ilse Aben, Rochelle Schneider, Holger H. Hoos, Mitra Baratchi
2025	J	`jnl`	Modelling Concept Drift in Dynamic Data Streams for Recommender Systems. Trans. Recomm. Syst. Luciano Caroprese, Francesco Sergio Pisani, Bruno Miguel Veloso, Matthias König, Giuseppe Manco, Holger H. Hoos, João Gama
2025	J	`jnl`	On the Efficiency of Training Robust Decision Trees. CoRR Benedict Gerlach, Marie Anastacio, Holger H. Hoos
2025	J	`jnl`	Robustness Distributions in Neural Network Verification. J. Artif. Intell. Res. Annelot W. Bosman, Aaron Berger, Holger H. Hoos, Jan N. van Rijn
2025	—	`conf`	Robustness Margin: A New Measure for the Robustness of Neural Networks. SAIV Lionel Kielhöfer, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn
2025	J	`jnl`	Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning. Mach. Learn. Wadie Skaf, Mitra Baratchi, Holger H. Hoos
2025	—	`conf`	TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. GECCO Companion Roman Kalkreuth, Fabrício Olivetti de França, Anja Jankovic, Marie Anastacio, Julian Dierkes, Zdenek Vasícek, Holger H. Hoos
2025	J	`jnl`	TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. CoRR Roman Kalkreuth, Fabrício Olivetti de França, Julian Dierkes, Marie Anastacio, Anja Jankovic, Zdenek Vasícek, Holger H. Hoos
2024	—	`conf`	A Preliminary Study to Examining Per-class Performance Bias via Robustness Distributions. SAIV Annelot W. Bosman, Anna L. Münz, Holger H. Hoos, Jan N. van Rijn
2024	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer
2024	A*	`conf`	Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing. AAAI Matthias König, Holger H. Hoos, Jan N. van Rijn
2024	—	`conf`	AutoCD: Automated Machine Learning for Causal Discovery Algorithms. PGM Gerlise Chan, Tom Claassen, Holger H. Hoos, Tom Heskes, Mitra Baratchi
2024	J	`jnl`	AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images. Remote. Sens. Julia Wasala, Suzanne M. Marselis, Laurens Arp, Holger H. Hoos, Nicolas Longépé, Mitra Baratchi
2024	—	`conf`	Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. ECML/PKDD (7) Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn
2024	J	`jnl`	Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. CoRR Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn
2024	J	`jnl`	Automated machine learning: past, present and future. Artif. Intell. Rev. Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
2024	J	`jnl`	Combining Automated Optimisation of Hyperparameters and Reward Shape. RLJ Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe
2024	J	`jnl`	Combining Automated Optimisation of Hyperparameters and Reward Shape. CoRR Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe
2024	J	`jnl`	Critically Assessing the State of the Art in Neural Network Verification. J. Mach. Learn. Res. Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn
2024	J	`jnl`	Edge-Based Graph Component Pooling. CoRR Thijs Snelleman, Bram M. Renting, Holger H. Hoos, Jan N. van Rijn
2024	J	`jnl`	Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR. J. Artif. Intell. Res. Odd Erik Gundersen, Malte Helmert, Holger H. Hoos
2024	—	`conf`	Multi-objective Ranking using Bootstrap Resampling. GECCO Companion Jeroen Rook, Holger H. Hoos, Heike Trautmann
2024	A	`conf`	Revisiting SATZilla Features in 2024. SAT Hadar Shavit, Holger H. Hoos
2024	J	`jnl`	Software engineering practices for machine learning - Adoption, effects, and team assessment. J. Syst. Softw. Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2024	J	`jnl`	Towards General Negotiation Strategies with End-to-End Reinforcement Learning. RLJ Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
2024	J	`jnl`	Towards General Negotiation Strategies with End-to-End Reinforcement Learning. CoRR Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
2023	J	`jnl`	Adaptive error bounded piecewise linear approximation for time-series representation. Eng. Appl. Artif. Intell. Zhou Zhou, Mitra Baratchi, Gangquan Si, Holger H. Hoos, Gang Huang
2023	J	`jnl`	Artificial intelligence to advance Earth observation: a perspective. CoRR 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
2023	J	`jnl`	Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling. CoRR Chris Fawcett, Mauro Vallati, Holger H. Hoos, Alfonso Emilio Gerevini
2023	—	`conf`	Critically Assessing the State of the Art in CPU-based Local Robustness Verification. SafeAI@AAAI Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn
2023	J	`jnl`	From fear to action: AI governance and opportunities for all. Frontiers Comput. Sci. 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
2023	J	`jnl`	Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization. Expert Syst. Appl. Yi Chu, Chuan Luo, Holger H. Hoos, Haihang You
2023	—	`conf`	Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. AutoML Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2023	J	`jnl`	Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. CoRR Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2023	J	`jnl`	Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
2022	J	`jnl`	AutoML Loss Landscapes. ACM Trans. Evol. Learn. Optim. Yasha Pushak, Holger H. Hoos
2022	A	`conf`	Automated Configuration and Usage of Strategy Portfolios Mixed-Motive Bargaining. AAMAS Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
2022	J	`jnl`	Automated Configuration and Usage of Strategy Portfolios for Bargaining. CoRR Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
2022	J	`jnl`	Automated Machine Learning for COVID-19 Forecasting. IEEE Access Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos
2022	J	`jnl`	Automating data science. Commun. ACM Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
2022	—	`conf`	Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. Meta-Knowledge Transfer @ ECML/PKDD Marie Anastacio, Théo Matricon, Holger H. Hoos
2022	J	`jnl`	Exact stochastic constraint optimisation with applications in network analysis. Artif. Intell. Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
2022	—	`conf`	Opening the Black Box: Automated Software Analysis for Algorithm Selection. AutoML Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos
2022	J	`jnl`	Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2022	J	`jnl`	Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. IEEE Trans. Evol. Comput. Koen van der Blom, Holger H. Hoos, Chuan Luo, Jeroen G. Rook
2022	J	`jnl`	Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio. Mach. Learn. Matthias König, Holger H. Hoos, Jan N. van Rijn
2022	—	`conf`	The 13th International Automated Negotiating Agent Competition Challenges and Results. ACAN@IJCAI Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Holger H. Hoos, Catholijn M. Jonker, Yasser Mohammad, Bram M. Renting
2022	J	`jnl`	VPint: value propagation-based spatial interpolation. Data Min. Knowl. Discov. Laurens Arp, Mitra Baratchi, Holger H. Hoos
2021	—	`ch.`	Automated Configuration and Selection of SAT Solvers. Handbook of Satisfiability Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2021	J	`jnl`	Automating Data Science: Prospects and Challenges. CoRR Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
2021	A	`conf`	Efficient Local Search for Pseudo Boolean Optimization. SAT Zhendong Lei, Shaowei Cai, Chuan Luo, Holger H. Hoos
2021	J	`jnl`	Frugal Machine Learning. CoRR Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag
2021	—	`conf`	Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
2021	J	`jnl`	MultiETSC: automated machine learning for early time series classification. Data Min. Knowl. Discov. Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos
2021	—	`ch.`	Next Big Challenges in Core AI Technology. Reflections on Artificial Intelligence for Humanity Andreas Dengel, Oren Etzioni, Nicole DeCario, Holger H. Hoos, Li Fei-Fei, Junichi Tsujii, Paolo Traverso
2021	—	`conf`	Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2021	J	`jnl`	Practices for Engineering Trustworthy Machine Learning Applications. CoRR Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2021	A	`conf`	Statistical Comparison of Algorithm Performance Through Instance Selection. CP Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon, Holger H. Hoos
2021	J	`jnl`	The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea
2020	J	`jnl`	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 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
2020	J	`jnl`	A survey on semi-supervised learning. Mach. Learn. Jesper E. van Engelen, Holger H. Hoos
2020	A	`conf`	Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2020	J	`jnl`	Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2020	A	`conf`	Advanced statistical analysis of empirical performance scaling. GECCO Yasha Pushak, Holger H. Hoos
2020	A	`conf`	Automated Configuration of Negotiation Strategies. AAMAS Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
2020	J	`jnl`	Automated Configuration of Negotiation Strategies. CoRR Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
2020	—	`conf`	Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	—	`conf`	Combining sequential model-based algorithm configuration with default-guided probabilistic sampling. GECCO Companion Marie Anastacio, Holger H. Hoos
2020	J	`jnl`	Empirical scaling analyzer: An automated system for empirical analysis of performance scaling. AI Commun. Yasha Pushak, Zongxu Mu, Holger H. Hoos
2020	A	`conf`	Golden parameter search: exploiting structure to quickly configure parameters in parallel. GECCO Yasha Pushak, Holger H. Hoos
2020	J	`jnl`	Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. CoRR Yi Chu, Chuan Luo, Holger H. Hoos, Qingwei Lin, Haihang You
2020	—	`conf`	Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling. PPSN (1) Marie Anastacio, Holger H. Hoos
2020	—	`conf`	PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation. PPSN (1) Chuan Luo, Holger H. Hoos, Shaowei Cai
2020	J	`jnl`	Scalable constraint-based virtual data center allocation. Artif. Intell. Sam Bayless, Nodir Kodirov, Syed M. Iqbal, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
2020	—	`conf`	Semi-supervised Co-ensembling for AutoML. TAILOR Jesper E. van Engelen, Holger H. Hoos
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors. J. Chem. Inf. Model. 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
2019	—	`ch.`	Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA. Automated Machine Learning Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2019	J	`jnl`	Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
2019	—	`conf`	Automated Machine Learning for Short-term Electric Load Forecasting. SSCI Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
2019	J	`jnl`	Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. Evol. Comput. Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos
2019	C	`conf`	Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
2019	J	`jnl`	Foreword. Evol. Comput. Holger H. Hoos, Frank Neumann, Heike Trautmann
2019	A*	`conf`	Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. IJCAI Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang
2019	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2018	—	`conf`	Algorithm Configuration Landscapes: - More Benign Than Expected? PPSN (2) Yasha Pushak, Holger H. Hoos
2018	J	`jnl`	Automated Algorithm Selection: Survey and Perspectives. CoRR Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
2018	B	`conf`	Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
2018	J	`jnl`	Automating Data Science (Dagstuhl Seminar 18401). Dagstuhl Reports Tijl De Bie, Luc De Raedt, Holger H. Hoos, Padhraic Smyth
2018	J	`jnl`	Efficient benchmarking of algorithm configurators via model-based surrogates. Mach. Learn. Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2018	—	`ch.`	Empirical Analysis of Randomised Algorithms. Handbook of Approximation Algorithms and Metaheuristics (1) Holger H. Hoos, Thomas Stützle
2018	—	`conf`	LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization. ECCV (16) Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little
2018	J	`jnl`	Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann
2018	J	`jnl`	On the empirical scaling of running time for finding optimal solutions to the TSP. J. Heuristics Zongxu Mu, Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle
2018	J	`jnl`	Performance robustness of AI planners in the 2014 International Planning Competition. AI Commun. Andrea F. Bocchese, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
2018	A	`conf`	Portfolio-Based Algorithm Selection for Circuit QBFs. CP Holger H. Hoos, Tomás Peitl, Friedrich Slivovsky, Stefan Szeider
2018	A*	`conf`	Quantifying Algorithmic Improvements over Time. IJCAI Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
2018	—	`ch.`	Selection and Configuration of Parallel Portfolios. Handbook of Parallel Constraint Reasoning Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2018	—	`ch.`	Stochastic Local Search. Handbook of Approximation Algorithms and Metaheuristics (1) Holger H. Hoos, Thomas Stützle
2018	—	`conf`	VNF chain abstraction for cloud service providers. ANCS Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
2018	—	`conf`	VNF chain allocation and management at data center scale. ANCS Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
2017	—	`conf`	An Experimental Study of Adaptive Capping in irace. LION Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger H. Hoos, Thomas Stützle
2017	J	`jnl`	Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. J. Mach. Learn. Res. Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2017	A*	`conf`	AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). IJCAI Marius Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub
2017	J	`jnl`	Automatic construction of parallel portfolios via algorithm configuration. Artif. Intell. Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Torsten Schaub
2017	C	`conf`	Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. EMO Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos
2017	J	`jnl`	Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates. CoRR Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2017	A*	`conf`	Efficient Parameter Importance Analysis via Ablation with Surrogates. AAAI Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos
2017	J	`jnl`	Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers. CoRR Chris Fawcett, Lars Kotthoff, Holger H. Hoos
2017	—	`conf`	OASC-2017: *Zilla Submission. OASC Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown, Frank Hutter
2017	—	`ed.`	Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017. AutoML@PKDD/ECML Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger H. Hoos
2017	A*	`conf`	Scalable Constraint-based Virtual Data Center Allocation. IJCAI Sam Bayless, Nodir Kodirov, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu
2017	J	`jnl`	Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis. Int. J. Artif. Intell. Tools Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
2017	J	`jnl`	The Configurable SAT Solver Challenge (CSSC). Artif. Intell. Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown
2016	J	`jnl`	ASlib: A benchmark library for algorithm selection. Artif. Intell. Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
2016	J	`jnl`	Analysing differences between algorithm configurations through ablation. J. Heuristics Chris Fawcett, Holger H. Hoos
2016	J	`jnl`	Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). Dagstuhl Reports Holger H. Hoos, Frank Neumann, Heike Trautmann
2016	A*	`conf`	Bias in Algorithm Portfolio Performance Evaluation. IJCAI Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown
2016	—	`conf`	MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann
2016	—	`conf`	Quantifying the Similarity of Algorithm Configurations. LION Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown
2016	—	`conf`	Revisiting Additive Quantization. ECCV (2) Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little
2016	J	`jnl`	SATenstein: Automatically building local search SAT solvers from components. Artif. Intell. Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2016	A	`conf`	Scalable, high-quality, SAT-based multi-layer escape routing. ICCAD Sam Bayless, Holger H. Hoos, Alan J. Hu
2016	—	`conf`	Solving Multi-codebook Quantization in the GPU. ECCV Workshops (1) Julieta Martinez, Holger H. Hoos, James J. Little
2016	A	`conf`	Taming the Complexity Monster or: How I learned to Stop Worrying and Love Hard Problems. GECCO Holger H. Hoos
2016	—	`conf`	The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers. LION Zongxu Mu, Holger H. Hoos, Thomas Stützle
2016	A*	`conf`	Using the Shapley Value to Analyze Algorithm Portfolios. AAAI Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
2015	J	`jnl`	ASlib: A Benchmark Library for Algorithm Selection. CoRR Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
2015	A*	`conf`	Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract). IJCAI Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2015	—	`conf`	AutoFolio: Algorithm Configuration for Algorithm Selection. AAAI Workshop: Algorithm Configuration Marius Lindauer, Holger H. Hoos, Frank Hutter, Torsten Schaub
2015	J	`jnl`	AutoFolio: An Automatically Configured Algorithm Selector. J. Artif. Intell. Res. Marius Lindauer, Holger H. Hoos, Frank Hutter, Torsten Schaub
2015	A	`conf`	Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little
2015	A*	`conf`	Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. AAAI Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2015	—	`conf`	Empirical Scaling Analyser: An Automated System for Empirical Analysis of Performance Scaling. GECCO (Companion) Zongxu Mu, Holger H. Hoos
2015	—	`conf`	From Sequential Algorithm Selection to Parallel Portfolio Selection. LION Marius Lindauer, Holger H. Hoos, Frank Hutter
2015	—	`conf`	Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION Lars Kotthoff, Pascal Kerschke, Holger H. Hoos, Heike Trautmann
2015	A	`conf`	On the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSP. GECCO Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle
2015	A*	`conf`	On the Empirical Time Complexity of Random 3-SAT at the Phase Transition. IJCAI Zongxu Mu, Holger H. Hoos
2015	J	`jnl`	On the empirical time complexity of finding optimal solutions vs proving optimality for Euclidean TSP instances. Optim. Lett. Holger H. Hoos, Thomas Stützle
2015	B	`conf`	Portfolio Methods for Optimal Planning: An Empirical Analysis. ICTAI Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
2015	—	`conf`	Programming by Optimisation Meets Parameterised Algorithmics: A Case Study for Cluster Editing. LION Sepp Hartung, Holger H. Hoos
2015	A*	`conf`	SAT Modulo Monotonic Theories. AAAI Sam Bayless, Noah Bayless, Holger H. Hoos, Alan J. Hu
2015	—	`ch.`	Stochastic Local Search Algorithms: An Overview. Handbook of Computational Intelligence Holger H. Hoos, Thomas Stützle
2015	J	`jnl`	The Configurable SAT Solver Challenge (CSSC). CoRR Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown
2015	J	`jnl`	aspeed: Solver scheduling via answer set programming. Theory Pract. Log. Program. Holger H. Hoos, Roland Kaminski, Marius Lindauer, Torsten Schaub
2014	—	`conf`	AClib: A Benchmark Library for Algorithm Configuration. LION Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle
2014	—	`conf`	Algorithm Configuration in the Cloud: A Feasibility Study. LION Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Algorithm runtime prediction: Methods & evaluation. Artif. Intell. Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2014	A*	`conf`	An Efficient Approach for Assessing Hyperparameter Importance. ICML Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Enhanced flowType/RchyOptimyx: a Bioconductor pipeline for discovery in high-dimensional cytometry data. Bioinform. Kieran O'Neill, Adrin Jalali, Nima Aghaeepour, Holger H. Hoos, Ryan Remy Brinkman
2014	—	`conf`	Evaluating Instance Generators by Configuration. LION Sam Bayless, Dave A. D. Tompkins, Holger H. Hoos
2014	J	`jnl`	Filling Your Shelves: Synthesizing Diverse Style-Preserving Artifact Arrangements. IEEE Trans. Vis. Comput. Graph. Lucas Majerowicz, Ariel Shamir, Alla Sheffer, Holger H. Hoos
2014	A*	`conf`	Improved Features for Runtime Prediction of Domain-Independent Planners. ICAPS Chris Fawcett, Mauro Vallati, Frank Hutter, Jörg Hoffmann, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	On the empirical scaling of run-time for finding optimal solutions to the travelling salesman problem. Eur. J. Oper. Res. Holger H. Hoos, Thomas Stützle
2014	J	`jnl`	ParamILS: An Automatic Algorithm Configuration Framework. CoRR Frank Hutter, Thomas Stützle, Kevin Leyton-Brown, Holger H. Hoos
2014	J	`jnl`	SAT Modulo Monotonic Theories. CoRR Sam Bayless, Noah Bayless, Holger H. Hoos, Alan J. Hu
2014	J	`jnl`	Solver Scheduling via Answer Set Programming. CoRR Holger H. Hoos, Roland Kaminski, Marius Lindauer, Torsten Schaub
2014	J	`jnl`	Stacked Quantizers for Compositional Vector Compression. CoRR Julieta Martinez, Holger H. Hoos, James J. Little
2014	—	`conf`	Surrogate Benchmarks for Hyperparameter Optimization. MetaSel@ECAI Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Understanding the empirical hardness of Commun. ACM Kevin Leyton-Brown, Holger H. Hoos, Frank Hutter, Lin Xu
2014	J	`jnl`	claspfolio 2: Advances in Algorithm Selection for Answer Set Programming. CoRR Holger H. Hoos, Marius Lindauer, Torsten Schaub
2014	J	`jnl`	claspfolio 2: Advances in Algorithm Selection for Answer Set Programming. Theory Pract. Log. Program. Holger H. Hoos, Marius Lindauer, Torsten Schaub
2013	—	`conf`	An evaluation of sequential model-based optimization for expensive blackbox functions. GECCO (Companion) Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	A*	`conf`	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. KDD Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	B	`conf`	Automatic Generation of Efficient Domain-Optimized Planners from Generic Parametrized Planners. SOCS Mauro Vallati, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, Alessandro Saetti
2013	J	`jnl`	Bayesian Optimization With Censored Response Data. CoRR Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	B	`conf`	Efficient modular SAT solving for IC3. FMCAD Sam Bayless, Celina G. Val, Thomas Ball, Holger H. Hoos, Alan J. Hu
2013	J	`jnl`	Ensemble-based prediction of RNA secondary structures. BMC Bioinform. Nima Aghaeepour, Holger H. Hoos
2013	J	`jnl`	Evaluating Las Vegas Algorithms - Pitfalls and Remedies CoRR Holger H. Hoos, Thomas Stützle
2013	—	`conf`	Identifying Key Algorithm Parameters and Instance Features Using Forward Selection. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	A	`conf`	Ordered racing protocols for automatically configuring algorithms for scaling performance. GECCO James Styles, Holger H. Hoos
2013	J	`jnl`	Reasoning With Conditional Ceteris Paribus Preference Statem CoRR Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
2013	—	`conf`	Robust Benchmark Set Selection for Boolean Constraint Solvers. LION Holger H. Hoos, Benjamin Kaufmann, Torsten Schaub, Marius Schneider
2013	—	`conf`	Using Racing to Automatically Configure Algorithms for Scaling Performance. LION James Styles, Holger H. Hoos
2012	J	`jnl`	Algorithm Runtime Prediction: The State of the Art CoRR Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2012	J	`jnl`	Analysis of energy-based algorithms for RNA secondary structure prediction. BMC Bioinform. Monir Hajiaghayi, Anne Condon, Holger H. Hoos
2012	J	`jnl`	Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms CoRR Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	—	`ch.`	Automated Algorithm Configuration and Parameter Tuning. Autonomous Search Holger H. Hoos
2012	—	`conf`	Automatically Configuring Algorithms for Scaling Performance. LION James Styles, Holger H. Hoos, Martin Müller
2012	J	`jnl`	Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays. Bioinform. Nima Aghaeepour, Pratip K. Chattopadhyay, Anuradha Ganesan, Kieran O'Neill, Habil Zare, Adrin Jalali, Holger H. Hoos, Mario Roederer, Ryan Remy Brinkman
2012	A	`conf`	Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors. SAT Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	—	`conf`	Parallel Algorithm Configuration. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	A*	`conf`	Predicting Satisfiability at the Phase Transition. AAAI Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2012	J	`jnl`	Programming by optimization. Commun. ACM Holger H. Hoos
2012	—	`conf`	Quantifying Homogeneity of Instance Sets for Algorithm Configuration. LION Marius Schneider, Holger H. Hoos
2012	—	`conf`	aspeed: ASP-based Solver Scheduling. ICLP (Technical Communications) Holger H. Hoos, Roland Kaminski, Torsten Schaub, Marius Schneider
2011	J	`jnl`	A note on improving the performance of approximation algorithms for radiation therapy. Inf. Process. Lett. Therese Biedl, Stephane Durocher, Holger H. Hoos, Shuang Luan, Jared Saia, Maxwell Young
2011	J	`jnl`	CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements CoRR Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2011	A	`conf`	Captain Jack: New Variable Selection Heuristics in Local Search for SAT. SAT Dave A. D. Tompkins, Adrian Balint, Holger H. Hoos
2011	J	`jnl`	Dynamic Local Search for the Maximum Clique Problem CoRR Holger H. Hoos, Wayne J. Pullan
2011	—	`conf`	HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms. LION Christopher Nell, Chris Fawcett, Holger H. Hoos, Kevin Leyton-Brown
2011	J	`jnl`	SATzilla: Portfolio-based Algorithm Selection for SAT CoRR Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2011	—	`conf`	Sequential Model-Based Optimization for General Algorithm Configuration. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2010	B	`conf`	Automated Configuration of Mixed Integer Programming Solvers. CPAIOR Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2010	A*	`conf`	Computer-Aided Algorithm Design: Automated Tuning, Configuration, Selection, and Beyond. ICAPS Holger H. Hoos
2010	A	`conf`	Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT. SAT Dave A. D. Tompkins, Holger H. Hoos
2010	A*	`conf`	Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection. AAAI Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2010	—	`ch.`	Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. Experimental Methods for the Analysis of Optimization Algorithms Frank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2010	—	`conf`	Time-Bounded Sequential Parameter Optimization. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2010	J	`jnl`	Tradeoffs in the empirical evaluation of competing algorithm designs. Ann. Math. Artif. Intell. Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2009	A	`conf`	An experimental investigation of model-based parameter optimisation: SPO and beyond. GECCO Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2009	—	`ed.`	Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings SLS Thomas Stützle, Mauro Birattari, Holger H. Hoos
2009	J	`jnl`	Fixed-Parameter Tractability and Improved Approximations for Segment Minimization CoRR Therese Biedl, Stephane Durocher, Holger H. Hoos, Shuang Luan, Jared Saia, Maxwell Young
2009	J	`jnl`	ParamILS: An Automatic Algorithm Configuration Framework. J. Artif. Intell. Res. Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle
2009	A*	`conf`	SATenstein: Automatically Building Local Search SAT Solvers from Components. IJCAI Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2008	J	`jnl`	RNA STRAND: The RNA Secondary Structure and Statistical Analysis Database. BMC Bioinform. Mirela Andronescu, Vera Bereg, Holger H. Hoos, Anne Condon
2008	J	`jnl`	SATzilla: Portfolio-based Algorithm Selection for SAT. J. Artif. Intell. Res. Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2007	A	`conf`	: The Design and Analysis of an Algorithm Portfolio for SAT. CP Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2007	A	`conf`	A Parallel Workflow for Real-time Correlation and Clustering of High-Frequency Stock Market Data. IPDPS Camilo Rostoker, Alan Wagner, Holger H. Hoos
2007	J	`jnl`	A replica exchange Monte Carlo algorithm for protein folding in the HP model. BMC Bioinform. Chris Thachuk, Alena Shmygelska, Holger H. Hoos
2007	J	`jnl`	An adaptive bin framework search method for a beta-sheet protein homopolymer model. BMC Bioinform. Alena Shmygelska, Holger H. Hoos
2007	A*	`conf`	Automatic Algorithm Configuration Based on Local Search. AAAI Frank Hutter, Holger H. Hoos, Thomas Stützle
2007	B	`conf`	Boosting Verification by Automatic Tuning of Decision Procedures. FMCAD Frank Hutter, Domagoj Babic, Holger H. Hoos, Alan J. Hu
2007	J	`jnl`	Cognitive Principles for Information Management: The Principles of Mnemonic Associative Knowledge (P-MAK). Minds Mach. Michael Huggett, Holger H. Hoos, Ronald A. Rensink
2007	J	`jnl`	Computational RNA secondary structure design: empirical complexity and improved methods. BMC Bioinform. Rosalía Aguirre-Hernández, Holger H. Hoos, Anne Condon
2007	—	`conf`	Efficient parameter estimation for RNA secondary structure prediction. ISMB/ECCB (Supplement of Bioinformatics) Mirela Andronescu, Anne Condon, Holger H. Hoos, David H. Mathews, Kevin P. Murphy
2007	—	`ch.`	Empirical Analysis of Randomized Algorithms. Handbook of Approximation Algorithms and Metaheuristics Holger H. Hoos, Thomas Stützle
2007	—	`ed.`	Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings SLS Thomas Stützle, Mauro Birattari, Holger H. Hoos
2007	A	`conf`	Hierarchical Hardness Models for SAT. CP Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2007	—	`conf`	On Effectively Finding Maximal Quasi-cliques in Graphs. LION Mauro Brunato, Holger H. Hoos, Roberto Battiti
2007	J	`jnl`	Preface. Ann. Oper. Res. Holger H. Hoos, Thomas Stützle
2007	—	`ch.`	Stochastic Local Search. Handbook of Approximation Algorithms and Metaheuristics Holger H. Hoos, Thomas Stützle
2006	J	`jnl`	Die Logik des Lebens. Künstliche Intell. Holger H. Hoos
2006	J	`jnl`	Dynamic Local Search for the Maximum Clique Problem. J. Artif. Intell. Res. Wayne J. Pullan, Holger H. Hoos
2006	—	`ch.`	Local Search Methods. Handbook of Constraint Programming Holger H. Hoos, Edward P. K. Tsang
2006	—	`conf`	On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT. Canadian AI Dave A. D. Tompkins, Holger H. Hoos
2006	A	`conf`	Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. CP Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown
2005	J	`jnl`	An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem. BMC Bioinform. Alena Shmygelska, Holger H. Hoos
2005	A*	`conf`	Efficient Stochastic Local Search for MPE Solving. IJCAI Frank Hutter, Holger H. Hoos, Thomas Stützle
2005	—	`ed.`	Theory and Applications of Satisfiability Testing, 7th International Conference, SAT 2004, Vancouver, BC, Canada, May 10-13, 2004, Revised Selected Papers SAT (Selected Papers) Holger H. Hoos, David G. Mitchell
2004	J	`jnl`	CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. J. Artif. Intell. Res. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	J	`jnl`	Editors' Notes. Comput. Music. J. Holger H. Hoos, David Bainbridge
2004	—	`conf`	MusicBLAST - Gapped Sequence Alignment for MIR. ISMIR Jürgen Kilian, Holger H. Hoos
2004	J	`jnl`	Preference-Based Constrained Optimization with CP-Nets. Comput. Intell. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	A	`conf`	Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. PPSN Holger H. Hoos, Kevin Smyth, Thomas Stützle
2004	—	`book`	Stochastic Local Search: Foundations & Applications Holger H. Hoos, Thomas Stützle
2004	A	`conf`	UBCSAT: An Implementation and Experimentation Environment for SLS Algorithms for SAT & MAX-SAT. SAT Dave A. D. Tompkins, Holger H. Hoos
2004	—	`conf`	UBCSAT: An Implementation and Experimentation Environment for SLS Algorithms for SAT and MAX-SAT. SAT (Selected Papers Dave A. D. Tompkins, Holger H. Hoos
2004	A	`conf`	Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham
2004	—	`conf`	Warped Landscapes and Random Acts of SAT Solving. AI&M Dave A. D. Tompkins, Holger H. Hoos
2003	Misc	`conf`	An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem. AI Alena Shmygelska, Holger H. Hoos
2003	Misc	`conf`	Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design. AI Dan C. Tulpan, Holger H. Hoos
2003	Misc	`conf`	Inference of Transcriptional Regulation Relationships from Gene Expression Data. SAC Andrew Tae-Jun Kwon, Holger H. Hoos, Raymond T. Ng
2003	J	`jnl`	Inference of Transcriptional Regulation Relationships from Gene Expression Data. Bioinform. Andrew Tae-Jun Kwon, Holger H. Hoos, Raymond T. Ng
2003	Misc	`conf`	Iterated Robust Tabu Search for MAX-SAT. AI Kevin Smyth, Holger H. Hoos, Thomas Stützle
2003	J	`jnl`	RNAsoft: a suite of RNA secondary structure prediction and design software tools. Nucleic Acids Res. Mirela Andronescu, Rosalía Aguirre-Hernández, Anne Condon, Holger H. Hoos
2003	Misc	`conf`	Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT. AI Dave A. D. Tompkins, Holger H. Hoos
2003	Misc	`conf`	Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness. AI Michael Pavlin, Holger H. Hoos, Thomas Stützle
2003	A	`conf`	Using Stochastic Local Search to Solve Quantified Boolean Formulae. CP Ian P. Gent, Holger H. Hoos, Andrew G. D. Rowley, Kevin Smyth
2002	—	`conf`	A Mixture-Model for the Behaviour of SLS Algorithms for SAT. AAAI/IAAI Holger H. Hoos
2002	—	`conf`	An Adaptive Noise Mechanism for WalkSAT. AAAI/IAAI Holger H. Hoos
2002	—	`conf`	An Ant Colony Optimization Algorithm for the 2D HP Protein Folding Problem. Ant Algorithms Alena Shmygelska, Rosalía Aguirre-Hernández, Holger H. Hoos
2002	B	`conf`	From RNA Secondary Structure to Coding Theory: A Combinatorial Approach. DNA Christine E. Heitsch, Anne Condon, Holger H. Hoos
2002	A	`conf`	Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT. CP Frank Hutter, Dave A. D. Tompkins, Holger H. Hoos
2002	B	`conf`	Stochastic Local Search Algorithms for DNA Word Design. DNA Dan C. Tulpan, Holger H. Hoos, Anne Condon
2002	—	`conf`	Voice Separation - A Local Optimization Approach. ISMIR Jürgen Kilian, Holger H. Hoos
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
2001	J	`jnl`	Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. Künstliche Intell. Thomas Stützle, Holger H. Hoos
2001	A*	`conf`	Bidding Languages for Combinatorial Auctions. IJCAI Craig Boutilier, Holger H. Hoos
2001	—	`conf`	GUIDO/MIR - an Experimental Musical Information Retrieval System based on GUIDO Music Notation. ISMIR Holger H. Hoos, Kai Renz, Marko Görg
2001	—	`conf`	Web Delivery of Music using the GUIDO NoteServer. WEDELMUSIC Kai Renz, Holger H. Hoos
2000	J	`jnl`	Local Search Algorithms for SAT: An Empirical Evaluation. J. Autom. Reason. Holger H. Hoos, Thomas Stützle
2000	J	`jnl`	MAX-MIN Ant System. Future Gener. Comput. Syst. Thomas Stützle, Holger H. Hoos
2000	—	`conf`	Solving Combinatorial Auctions Using Stochastic Local Search. AAAI/IAAI Holger H. Hoos, Craig Boutilier
2000	—	`conf`	VISCO - Visual SALIERI Components. ICMC Jürgen Kilian, Holger H. Hoos
1999	—	`conf`	Morphing: Combining Structure and Randomness. AAAI/IAAI Ian P. Gent, Holger H. Hoos, Patrick Prosser, Toby Walsh
1999	—	`conf`	On the Run-time Behaviour of Stochastic Local Search Algorithms for SAT. AAAI/IAAI Holger H. Hoos
1999	A	`conf`	Reasoning With Conditional Ceteris Paribus Preference Statements. UAI Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
1999	A*	`conf`	SAT-Encodings, Search Space Structure, and Local Search Performance. IJCAI Holger H. Hoos
1999	—	`book`	Stochastic local search - methods, models, applications. Holger H. Hoos
1999	Misc	`conf`	Systematic vs. Local Search for SAT. KI Holger H. Hoos, Thomas Stützle
1999	A*	`conf`	To Encode or Not to Encode - Linear Planning. IJCAI Ronen I. Brafman, Holger H. Hoos
1999	J	`jnl`	Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artif. Intell. Holger H. Hoos, Thomas Stützle
1999	—	`conf`	Using Advanced GUIDO as a Notation Interchange Format. ICMC Holger H. Hoos, Keith Hamel, Kai Renz
1998	—	`conf`	A WEB-based Approach to Music Notation using GUIDO. ICMC Kai Renz, Holger H. Hoos
1998	—	`conf`	An HTTP Interface to Salieri. ICMC Kai Renz, Holger H. Hoos
1998	A	`conf`	Evaluating Las Vegas Algorithms: Pitfalls and Remedies. UAI Holger H. Hoos, Thomas Stützle
1998	—	`conf`	SALIERI: A General, Interactive Computer Music System. ICMC Holger H. Hoos, Jürgen Kilian, Kai Renz, Thomas Helbich
1998	A	`conf`	Some Surprising Regularities in the Behaviour of Stochastic Local Search. CP Holger H. Hoos, Thomas Stützle
1998	—	`—`	Stochastic local search - methods, models, applications. Holger H. Hoos
1998	—	`conf`	The GUIDO Notation Format: A Novel Approach for Adequately Representing Score-Level Music. ICMC Holger H. Hoos, Keith Hamel, Kai Renz, Jürgen Kilian
1997	—	`conf`	Improvements on the Ant-System: Introducing the MAX-MIN Ant System. ICANNGA Thomas Stützle, Holger H. Hoos
1997	C	`conf`	MAX-MIN Ant System and local search for the traveling salesman problem. ICEC Thomas Stützle, Holger H. Hoos
1996	Misc	`conf`	Solving Hard Combinatorial Problems with GSAT - A Case Study. KI Holger H. Hoos
1994	A	`conf`	GSAT versus Simulated Annealing. ECAI Antje Beeringer, Gerd Aschemann, Holger H. Hoos, Michael Metzger, Andreas Weiss