| Metalearning: a survey of trends and technologies C Lemke, M Budka, B Gabrys Artificial intelligence review 44, 117-130, 2015 | 497 | 2015 |
| Meta-learning for time series forecasting and forecast combination C Lemke, B Gabrys Neurocomputing 73 (10-12), 2006-2016, 2010 | 311 | 2010 |
| GERBIL: general entity annotator benchmarking framework R Usbeck, M Röder, AC Ngonga Ngomo, C Baron, A Both, M Brümmer, ... Proceedings of the 24th international conference on World Wide Web, 1133-1143, 2015 | 287 | 2015 |
| A generic multilevel architecture for time series prediction D Ruta, B Gabrys, C Lemke IEEE Transactions on Knowledge and Data Engineering 23 (3), 350-359, 2010 | 56 | 2010 |
| Evolving forecast combination structures for airline revenue management C Lemke, S Riedel, B Gabrys Journal of Revenue and Pricing Management 12, 221-234, 2013 | 30 | 2013 |
| Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations C Lemke, S Riedel, B Gabrys 2009 IEEE symposium on computational intelligence for financial engineering …, 2009 | 28 | 2009 |
| Meta-learning for time series forecasting in the NN GC1 competition C Lemke, B Gabrys International Conference on Fuzzy Systems, 1-5, 2010 | 27 | 2010 |
| A service-oriented search framework for full text, geospatial and semantic search A Both, ACN Ngomo, R Usbeck, D Lukovnikov, C Lemke, M Speicher Proceedings of the 10th International Conference on Semantic Systems, 65-72, 2014 | 22 | 2014 |
| Combinations of time series forecasts: when and why are they beneficial?. C Lemke Bournemouth University, 2010 | 13 | 2010 |
| Do we need experts for time series forecasting? C Lemke, B Gabrys d-side, 2008 | 11 | 2008 |
| Forecasting and Forecast Combination in Airline Revenue Management Applications C Lemke, B Gabrys EXIT Publishing House, 2008 | 6 | 2008 |
| On the benefit of using time series features for choosing a forecasting method C Lemke, B Gabrys | 6 | 2008 |
| Computing Geo-Spatial Motives from Linked Data for Search-driven Applications. A Both, L Avdiyenko, C Lemke KNOW@ LOD, 2015 | 1 | 2015 |
| Review of Nature-inspired Forecast Combination Techniques C Lemke, B Gabrys | 1 | 2007 |
| Motive-based search: Computing regions from large knowledge bases using geospatial coordinates L Avdiyenko, M Nettling, C Lemke, M Wauer, ACN Ngomo, A Both 2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015 | | 2015 |
