Felix Mohr - RankMe

60 papers A* 3A 2B 7C 2Misc 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Credal Prediction based on Relative Likelihood. CoRR Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier
2025	J	`jnl`	HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks. CoRR Yanick Christian Tchenko, Felix Mohr, Hicham Hadj-Abdelkader, Hedi Tabia
2025	J	`jnl`	LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought. CoRR Cheng Yan, Felix Mohr, Tom J. Viering
2024	J	`jnl`	Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals. CoRR Till Aust, Eduard Buss, Felix Mohr, Heiko Hamann
2024	J	`jnl`	DARIO: Differentiable Vision Transformer Pruning With Low-Cost Proxies. IEEE J. Sel. Top. Signal Process. Haozhe Sun, Alexandre Heuillet, Felix Mohr, Hedi Tabia
2024	—	`conf`	Learning Curve Extrapolation Methods Across Extrapolation Settings. IDA (2) Lionel Kielhöfer, Felix Mohr, Jan N. van Rijn
2024	J	`jnl`	Learning curves for decision making in supervised machine learning: a survey. Mach. Learn. Felix Mohr, Jan N. van Rijn
2024	J	`jnl`	The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2024	J	`jnl`	The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2023	J	`jnl`	Fast and Informative Model Selection Using Learning Curve Cross-Validation. IEEE Trans. Pattern Anal. Mach. Intell. Felix Mohr, Jan N. van Rijn
2023	J	`jnl`	Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
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	B	`conf`	RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
2023	J	`jnl`	RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
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	—	`conf`	Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	—	`ed.`	ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	—	`conf`	LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks. ECML/PKDD (5) Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn
2022	J	`jnl`	Learning Curves for Decision Making in Supervised Machine Learning - A Survey. CoRR Felix Mohr, Jan N. van Rijn
2022	J	`jnl`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR 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
2022	A*	`conf`	Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
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	J	`jnl`	Fast and Informative Model Selection using Learning Curve Cross-Validation. CoRR Felix Mohr, Jan N. van Rijn
2021	—	`conf`	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) 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
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	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 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
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	A*	`conf`	Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI Felix Mohr, Viktor Bengs, Eyke Hüllermeier
2021	J	`jnl`	Single and Parallel Machine Scheduling with Variable Release Dates. CoRR Felix Mohr, Gonzalo Mejía, Francisco Yuraszeck
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	—	`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	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	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
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	Misc	`conf`	Planning with Independent Task Networks. KI Felix Mohr, Theo Lettmann, Eyke Hüllermeier
2017	—	`—`	Towards automated service composition under quality constraints Felix Mohr
2016	—	`book`	Automated Software and Service Composition - A Survey and Evaluating Review Felix Mohr
2015	B	`conf`	A Metric for Functional Reusability of Services. ICSR Felix Mohr
2015	J	`jnl`	An approach towards adaptive service composition in markets of composed services. J. Internet Serv. Appl. Alexander Jungmann, Felix Mohr
2015	—	`conf`	Automated Online Service Composition. SCC Felix Mohr, Alexander Jungmann, Hans Kleine Büning
2015	B	`conf`	Market-Specific Service Compositions: Specification and Matching. SERVICES Svetlana Arifulina, Felix Mohr, Gregor Engels, Marie Christin Platenius, Wilhelm Schäfer
2015	B	`conf`	Template-Based Generation of Semantic Services. ICSR Felix Mohr, Sven Walther
2014	—	`conf`	Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. SOCA Alexander Jungmann, Felix Mohr, Bernd Kleinjohann
2014	B	`conf`	Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. SERVICES Alexander Jungmann, Felix Mohr, Bernd Kleinjohann
2014	A	`conf`	Estimating Functional Reusability of Services. ICSOC Felix Mohr
2014	A*	`conf`	Issues of automated software composition in AI planning. ASE Felix Mohr
2013	—	`conf`	Reducing Nondeterminism in Automated Service Composition. SOCA Felix Mohr, Theodor Lettmann, Hans Kleine Büning
2013	C	`conf`	Semi-Automated Software Composition Through Generated Components. iiWAS Felix Mohr, Hans Kleine Büning