Felix Mohr

Jan N. van Rijn

CoRR, 2022

LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2021

AutoML for Multi-Label Classification: Overview and Empirical Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Automated Machine Learning, Bounded Rationality, and Rational Metareasoning.

[BibT_eX]

[DOI]

CoRR, 2021

Naive Automated Machine Learning - A Late Baseline for AutoML.

[BibT_eX]

[DOI]

CoRR, 2021

Single and Parallel Machine Scheduling with Variable Release Dates.

[BibT_eX]

[DOI]

Gonzalo Mejía

Francisco Yuraszeck

CoRR, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model.

[BibT_eX]

[DOI]

Viktor Bengs

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AutoML for Predictive Maintenance: One Tool to RUL Them All.

[BibT_eX]

[DOI]

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

From Automated to On-The-Fly Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

ML-Plan: Automated machine learning via hierarchical planning.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Automated Multi-Label Classification based on ML-Plan.

[BibT_eX]

[DOI]

CoRR, 2018

Automated Machine Learning Service Composition.

[BibT_eX]

[DOI]

CoRR, 2018

Reduction Stumps for Multi-class Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Ensembles of evolved nested dichotomies for classification.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

(WIP) Towards the Automated Composition of Machine Learning Services.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

On-the-Fly Service Construction with Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

Towards automated service composition under quality constraints

[BibT_eX]

[DOI]

PhD thesis, 2017

Planning with Independent Task Networks.

[BibT_eX]

[DOI]

Theo Lettmann

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

2016

Automated Software and Service Composition - A Survey and Evaluating Review

[BibT_eX]

[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-34168-2, 2016

2015

An approach towards adaptive service composition in markets of composed services.

[BibT_eX]

[DOI]

J. Internet Serv. Appl., 2015

Market-Specific Service Compositions: Specification and Matching.

[BibT_eX]

[DOI]

Svetlana Arifulina

Gregor Engels

Marie Christin Platenius

Wilhelm Schäfer

Proceedings of the 2015 IEEE World Congress on Services, 2015

Template-Based Generation of Semantic Services.

[BibT_eX]

[DOI]

Sven Walther

Proceedings of the Software Reuse for Dynamic Systems in the Cloud and Beyond, 2015

A Metric for Functional Reusability of Services.

[BibT_eX]

[DOI]

Proceedings of the Software Reuse for Dynamic Systems in the Cloud and Beyond, 2015

Automated Online Service Composition.

[BibT_eX]

[DOI]

Hans Kleine Büning

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014

Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.

[BibT_eX]

[DOI]

Bernd Kleinjohann

Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014

Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.

[BibT_eX]

[DOI]

Bernd Kleinjohann

Proceedings of the 2014 IEEE World Congress on Services, 2014

Issues of automated software composition in AI planning.

[BibT_eX]

[DOI]

Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

Estimating Functional Reusability of Services.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

2013

Reducing Nondeterminism in Automated Service Composition.

[BibT_eX]

[DOI]

Theodor Lettmann

Hans Kleine Büning

Proceedings of the 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications, 2013

Semi-Automated Software Composition Through Generated Components.

[BibT_eX]

[DOI]