Marcel Wever - RankMe

67 papers A* 4A 5B 4C 1Misc 1Journal 45Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Hyperparameter Importance for Efficient Multi-Objective Optimization. CoRR Daphne Theodorakopoulos, Marcel Wever, Marius Lindauer
2026	J	`jnl`	Evolutionary Mapping of Neural Networks to Spatial Accelerators. CoRR Alessandro Pierro, Jonathan Timcheck, Jason Yik, Marius Lindauer, Eyke Hüllermeier, Marcel Wever
2026	A*	`conf`	HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization. AAAI Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer
2025	J	`jnl`	Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network. CoRR Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer
2025	J	`jnl`	DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning. CoRR Sarah Segel, Helena Graf, Edward Bergman, Kristina Thieme, Marcel Wever, Alexander Tornede, Frank Hutter, Marius Lindauer
2025	J	`jnl`	DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning. J. Mach. Learn. Res. Sarah Segel, Helena Graf, Edward Bergman, Kristina Thieme, Marcel Wever, Alexander Tornede, Frank Hutter, Marius Lindauer
2025	J	`jnl`	Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization. CoRR Lukas Fehring, Marcel Wever, Maximilian Spliethöver, Leona Hennig, Henning Wachsmuth, Marius Lindauer
2025	J	`jnl`	HyperSHAP: Shapley Values and Interactions for Hyperparameter Importance. CoRR Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer
2025	J	`jnl`	Information leakage detection through approximate Bayes-optimal prediction. Inf. Sci. Pritha Gupta, Marcel Wever, Eyke Hüllermeier
2025	J	`jnl`	OpenML: Insights from 10 years and more than a thousand papers. Patterns Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever
2025	J	`jnl`	RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive. ACM Trans. Evol. Learn. Optim. Valentin Margraf, Tom Koerner, Alexander Tornede, Marcel Wever
2025	J	`jnl`	State-Space Models for Tabular Prior-Data Fitted Networks. CoRR Felix Koch, Marcel Wever, Fabian Raisch, Benjamin Tischler
2025	A	`conf`	SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration. GECCO Valentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hüllermeier, Marius Lindauer
2024	J	`jnl`	ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier
2024	J	`jnl`	Automated Machine Learning for Multi-Label Classification. CoRR Marcel Wever
2024	A*	`conf`	Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO. IJCAI Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hüllermeier
2024	J	`jnl`	Hyperparameter optimization of two-branch neural networks in multi-target prediction. Appl. Soft Comput. Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman
2024	J	`jnl`	Information Leakage Detection through Approximate Bayes-optimal Prediction. CoRR Pritha Gupta, Marcel Wever, Eyke Hüllermeier
2024	—	`conf`	MetaQuRe: Meta-learning from Model Quality and Resource Consumption. ECML/PKDD (7) Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig
2024	A*	`conf`	Position: Why We Must Rethink Empirical Research in Machine Learning. ICML Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
2024	J	`jnl`	Position: Why We Must Rethink Empirical Research in Machine Learning. CoRR Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
2024	J	`jnl`	Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. J. Data Min. Digit. Humanit. Stefan Heid, Marcel Wever, Eyke Hüllermeier
2023	A*	`conf`	A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). IJCAI Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2023	J	`jnl`	Algorithm selection on a meta level. Mach. Learn. Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
2023	A	`conf`	Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification. GECCO Marcel Wever, Miran Özdogan, Eyke Hüllermeier
2023	J	`jnl`	Iterative Deepening Hyperband. CoRR Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier
2023	B	`conf`	Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. IDA David Schubert, Pritha Gupta, Marcel Wever
2023	J	`jnl`	Naive automated machine learning. Mach. Learn. Felix Mohr, Marcel Wever
2023	J	`jnl`	PyExperimenter: Easily distribute experiments and track results. CoRR Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
2023	J	`jnl`	PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
2023	J	`jnl`	Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
2022	J	`jnl`	A Survey of Methods for Automated Algorithm Configuration. CoRR Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2022	J	`jnl`	A Survey of Methods for Automated Algorithm Configuration. J. Artif. Intell. Res. Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2022	J	`jnl`	A flexible class of dependence-aware multi-label loss functions. Mach. Learn. Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
2022	—	`—`	Automated machine learning for multi-label classification. Marcel Wever
2022	J	`jnl`	Hyperparameter optimization in deep multi-target prediction. CoRR Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman
2022	J	`jnl`	Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets. CoRR David Schubert, Pritha Gupta, Marcel Wever
2021	—	`conf`	Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2021	J	`jnl`	Algorithm Selection on a Meta Level. CoRR Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
2021	J	`jnl`	Annotation Uncertainty in the Context of Grammatical Change. CoRR Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier
2021	J	`jnl`	AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
2021	J	`jnl`	Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. CoRR Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
2021	A	`conf`	Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2021	J	`jnl`	Naive Automated Machine Learning - A Late Baseline for AutoML. CoRR Felix Mohr, Marcel Wever
2021	J	`jnl`	Naive Automated Machine Learning. CoRR Felix Mohr, Marcel Wever
2021	J	`jnl`	Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
2021	J	`jnl`	Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
2020	J	`jnl`	A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
2020	—	`conf`	AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
2020	J	`jnl`	Extreme Algorithm Selection With Dyadic Feature Representation. CoRR Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020	B	`conf`	Extreme Algorithm Selection with Dyadic Feature Representation. DS Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020	Misc	`conf`	Hybrid Ranking and Regression for Algorithm Selection. KI Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020	B	`conf`	LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. IDA Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
2020	J	`jnl`	Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evol. Comput. Marcel Wever, Lorijn van Rooijen, Heiko Hamann
2020	J	`jnl`	Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. CoRR Stefan Heid, Marcel Wever, Eyke Hüllermeier
2020	C	`conf`	Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
2020	J	`jnl`	Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. CoRR Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
2020	J	`jnl`	Towards Meta-Algorithm Selection. CoRR Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2019	—	`conf`	From Automated to On-The-Fly Machine Learning. GI-Jahrestagung Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
2018	—	`conf`	(WIP) Towards the Automated Composition of Machine Learning Services. SCC Felix Mohr, Marcel Wever, Eyke Hüllermeier, Amin Faez
2018	J	`jnl`	Automated Machine Learning Service Composition. CoRR Felix Mohr, Marcel Wever, Eyke Hüllermeier
2018	J	`jnl`	Automated Multi-Label Classification based on ML-Plan. CoRR Marcel Wever, Felix Mohr, Eyke Hüllermeier
2018	A	`conf`	Ensembles of evolved nested dichotomies for classification. GECCO Marcel Wever, Felix Mohr, Eyke Hüllermeier
2018	J	`jnl`	ML-Plan: Automated machine learning via hierarchical planning. Mach. Learn. Felix Mohr, Marcel Wever, Eyke Hüllermeier
2018	—	`conf`	On-the-Fly Service Construction with Prototypes. SCC Felix Mohr, Marcel Wever, Eyke Hüllermeier
2018	B	`conf`	Reduction Stumps for Multi-class Classification. IDA Felix Mohr, Marcel Wever, Eyke Hüllermeier
2017	A	`conf`	Active coevolutionary learning of requirements specifications from examples. GECCO Marcel Wever, Lorijn van Rooijen, Heiko Hamann