| Open challenges for data stream mining research G Krempl, I Žliobaite, D Brzeziński, E Hüllermeier, M Last, V Lemaire, ... ACM SIGKDD explorations newsletter 16 (1), 1-10, 2014 | 404 | 2014 |
| On-line elimination of local redundancies in evolving fuzzy systems E Lughofer, JL Bouchot, A Shaker Evolving systems 2, 165-187, 2011 | 132 | 2011 |
| IBLStreams: a system for instance-based classification and regression on data streams A Shaker, E Hüllermeier Evolving Systems 3, 235-249, 2012 | 97 | 2012 |
| Self-adaptive and local strategies for a smooth treatment of drifts in data streams A Shaker, E Lughofer Evolving Systems 5, 239-257, 2014 | 74 | 2014 |
| Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study A Shaker, E Hüllermeier Neurocomputing 150, 250-264, 2015 | 57 | 2015 |
| Evolving fuzzy pattern trees for binary classification on data streams A Shaker, R Senge, E Hüllermeier Information Sciences 220, 34-45, 2013 | 45 | 2013 |
| SciPlore Xtract: extracting titles from scientific PDF documents by analyzing style information (Font Size) J Beel, B Gipp, A Shaker, N Friedrich Research and Advanced Technology for Digital Libraries: 14th European …, 2010 | 38 | 2010 |
| Metabags: Bagged meta-decision trees for regression J Khiari, L Moreira-Matias, A Shaker, B Ženko, S Džeroski Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 27 | 2019 |
| Efficient and scalable multi-task regression on massive number of tasks X He, F Alesiani, A Shaker Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3763-3770, 2019 | 20 | 2019 |
| Instance-based classification and regression on data streams A Shaker, E Hüllermeier Learning in non-stationary environments: methods and applications, 185-201, 2012 | 17 | 2012 |
| MILIE: Modular & iterative multilingual open information extraction B Kotnis, K Gashteovski, DO Rubio, V Rodriguez-Tembras, A Shaker, ... arXiv preprint arXiv:2110.08144, 2021 | 16 | 2021 |
| Measuring the discrepancy between conditional distributions: Methods, properties and applications S Yu, A Shaker, F Alesiani, JC Principe Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 16 | 2020 |
| Survival analysis on data streams: Analyzing temporal events in dynamically changing environments A Shaker, E Hüllermeier International Journal of Applied Mathematics and Computer Science 24 (1 …, 2014 | 13 | 2014 |
| Bilevel Continual Learning A Shaker, F Alesiani, S Yu, W Yin 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 12 | 2021 |
| Imprecise matching of requirements specifications for software services using fuzzy logic MC Platenius, A Shaker, M Becker, E Hüllermeier, W Schaefer IEEE Transactions on Software Engineering 43 (8), 739-759, 2016 | 12 | 2016 |
| Recovery analysis for adaptive learning from non-stationary data streams A Shaker, E Hüllermeier Proceedings of the 8th International Conference on Computer Recognition …, 2013 | 9 | 2013 |
| Resolving global and local drifts in data stream regression using evolving rule-based models A Shaker, E Lughofer 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 9-16, 2013 | 8 | 2013 |
| Human-centric research for nlp: Towards a definition and guiding questions B Kotnis, K Gashteovski, J Gastinger, G Serra, F Alesiani, T Sztyler, ... arXiv preprint arXiv:2207.04447, 2022 | 6 | 2022 |
| A Human-Centric Assessment Framework for AI S Saralajew, A Shaker, Z Xu, K Gashteovski, B Kotnis, WB Rim, J Quittek, ... arXiv preprint arXiv:2205.12749, 2022 | 4 | 2022 |
| Towards interpretable multi-task learning using bilevel programming F Alesiani, S Yu, A Shaker, W Yin Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 4 | 2021 |
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
