Felix Mohr

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Service Compositions

Empirical Evaluation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

NeurIPS (Competition and Demos)

Publications

Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR (2024)
Lionel Kielhöfer, Felix Mohr, Jan N. van Rijn
Learning Curve Extrapolation Methods Across Extrapolation Settings. IDA (2) (2024)
Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing 597 (2024)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8 (86) (2023)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77 (2023)
Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. CoRR (2023)
Felix Mohr, Jan N. van Rijn
Fast and Informative Model Selection Using Learning Curve Cross-Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR (2023)
Felix Mohr, Marcel Wever
Naive automated machine learning. Mach. Learn. 112 (4) (2023)
Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR (2023)
Felix Mohr, Jan N. van Rijn
Learning Curves for Decision Making in Supervised Machine Learning - A Survey. CoRR (2022)
Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR (2022)
Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS (2022)
Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks. ECML/PKDD (5) (2022)
Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR (2021)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Felix Mohr, Viktor Bengs, Eyke Hüllermeier
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI (2021)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) (2021)
Felix Mohr, Jan N. van Rijn
Fast and Informative Model Selection using Learning Curve Cross-Validation. CoRR (2021)
Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. CoRR (2021)
Felix Mohr, Marcel Wever
Naive Automated Machine Learning. CoRR (2021)
Felix Mohr, Marcel Wever
Naive Automated Machine Learning - A Late Baseline for AutoML. CoRR (2021)
Felix Mohr, Gonzalo Mejía, Francisco Yuraszeck
Single and Parallel Machine Scheduling with Variable Release Dates. CoRR (2021)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. IDA (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. CoRR (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML (2020)
Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML (2020)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
From Automated to On-The-Fly Machine Learning. GI-Jahrestagung (2019)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
Automated Machine Learning Service Composition. CoRR (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
Reduction Stumps for Multi-class Classification. IDA (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
ML-Plan: Automated machine learning via hierarchical planning. Mach. Learn. 107 (8-10) (2018)
Marcel Wever, Felix Mohr, Eyke Hüllermeier
Ensembles of evolved nested dichotomies for classification. GECCO (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
On-the-Fly Service Construction with Prototypes. SCC (2018)
Marcel Wever, Felix Mohr, Eyke Hüllermeier
Automated Multi-Label Classification based on ML-Plan. CoRR (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier, Amin Faez
(WIP) Towards the Automated Composition of Machine Learning Services. SCC (2018)
Felix Mohr, Theo Lettmann, Eyke Hüllermeier
Planning with Independent Task Networks. KI (2017)
Felix Mohr
A Metric for Functional Reusability of Services. ICSR (2015)
Felix Mohr, Alexander Jungmann, Hans Kleine Büning
Automated Online Service Composition. SCC (2015)
Alexander Jungmann, Felix Mohr
An approach towards adaptive service composition in markets of composed services. J. Internet Serv. Appl. 6 (1) (2015)
Svetlana Arifulina, Felix Mohr, Gregor Engels, Marie Christin Platenius, Wilhelm Schäfer
Market-Specific Service Compositions: Specification and Matching. SERVICES (2015)
Felix Mohr, Sven Walther
Template-Based Generation of Semantic Services. ICSR (2015)
Felix Mohr
Estimating Functional Reusability of Services. ICSOC (2014)
Alexander Jungmann, Felix Mohr, Bernd Kleinjohann
Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. SOCA (2014)
Felix Mohr
Issues of automated software composition in AI planning. ASE (2014)
Alexander Jungmann, Felix Mohr, Bernd Kleinjohann
Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. SERVICES (2014)
Felix Mohr, Theodor Lettmann, Hans Kleine Büning
Reducing Nondeterminism in Automated Service Composition. SOCA (2013)
Felix Mohr, Hans Kleine Büning
Semi-Automated Software Composition Through Generated Components. iiWAS (2013)