Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

Schneider SB, Jürgens M, Karl H. Divide and Conquer: Hierarchical Network and Service Coordination. In: IFIP/IEEE International Symposium on Integrated Network Management (IM). IFIP/IEEE; 2021.
LibreCat: /record/20693

Mohr F, Wever MD, Hüllermeier E. ML-Plan: Automated Machine Learning via Hierarchical Planning. Machine Learning. Published online 2018:1495-1515. doi:10.1007/s10994-018-5735-z
LibreCat: /record/3510
DOI: 10.1007/s10994-018-5735-z

Wever MD, Mohr F, Hüllermeier E. ML-Plan for Unlimited-Length Machine Learning Pipelines. In: ICML 2018 AutoML Workshop. ; 2018.
LibreCat: /record/3852

Wever MD, Mohr F, Hüllermeier E. Ensembles of Evolved Nested Dichotomies for Classification. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM; 2018. doi:10.1145/3205455.3205562
LibreCat: /record/2109
DOI: 10.1145/3205455.3205562

Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260. doi:10.1109/SSP.2009.5278589
LibreCat: /record/11806
DOI: 10.1109/SSP.2009.5278589