@inproceedingsMohr_Wever_Hüllermeier_Faez_2018, place=San Francisco, CA, USA, title=(WIP) Towards the Automated Composition of Machine Learning Services, DOI=10.1109/SCC.2018.00039, booktitle=SCC, publisher=IEEE, author=Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke and Faez, Amin, year=2018 

@articlePfannschmidt_Gupta_Hüllermeier_2018, title=Deep Architectures for Learning Context-dependent Ranking Functions, journal=arXiv:1803.05796, author=Pfannschmidt, Karlson and Gupta, Pritha and Hüllermeier, Eyke, year=2018 

@inproceedingsMohr_Lettmann_Hüllermeier_Wever_2018, title=Programmatic Task Network Planning, booktitle=Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, publisher=AAAI, author=Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke and Wever, Marcel Dominik, year=2018, pages=31–39 

@articleRamaswamy_Bhatnagar_2018, title=Stability of stochastic approximations with “controlled markov” noise and temporal difference learning, volume=64, number=6, journal=IEEE Transactions on Automatic Control, publisher=IEEE, author=Ramaswamy, Arunselvan and Bhatnagar, Shalabh, year=2018, pages=2614–2620 

@articleDemirel_Ramaswamy_Quevedo_Karl_2018, title=Deepcas: A deep reinforcement learning algorithm for control-aware scheduling, volume=2, number=4, journal=IEEE Control Systems Letters, publisher=IEEE, author=Demirel, Burak and Ramaswamy, Arunselvan and Quevedo, Daniel E and Karl, Holger, year=2018, pages=737–742 

@inproceedingsMohr_Wever_Hüllermeier_2018, place=San Francisco, CA, USA, title=On-The-Fly Service Construction with Prototypes, DOI=10.1109/SCC.2018.00036, booktitle=SCC, publisher=IEEE Computer Society, author=Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke, year=2018 

@articleMelnikov_Hüllermeier_2018, title=On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis, DOI=10.1007/s10994-018-5733-1, journal=Machine Learning, author=Melnikov, Vitalik and Hüllermeier, Eyke, year=2018 

@articleMohr_Wever_Hüllermeier_2018, title=ML-Plan: Automated Machine Learning via Hierarchical Planning, DOI=10.1007/s10994-018-5735-z, journal=Machine Learning, publisher=Springer, author=Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke, year=2018, pages=1495–1515 

@inproceedingsMohr_Wever_Hüllermeier, place=‘s-Hertogenbosch, the Netherlands, title=Reduction Stumps for Multi-Class Classification, DOI=10.1007/978-3-030-01768-2_19, booktitle=Proceedings of the Symposium on Intelligent Data Analysis, author=Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke 

@inproceedingsWever_Mohr_Hüllermeier_2018, title=ML-Plan for Unlimited-Length Machine Learning Pipelines, booktitle=ICML 2018 AutoML Workshop, author=Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke, year=2018