| Learning time-series shapelets J Grabocka, N Schilling, M Wistuba, L Schmidt-Thieme Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 605 | 2014 |
| Scalable gaussian process-based transfer surrogates for hyperparameter optimization M Wistuba, N Schilling, L Schmidt-Thieme Machine Learning 107 (1), 43-78, 2018 | 150 | 2018 |
| Learning hyperparameter optimization initializations M Wistuba, N Schilling, L Schmidt-Thieme 2015 IEEE international conference on data science and advanced analytics …, 2015 | 135 | 2015 |
| Hyperparameter search space pruning–a new component for sequential model-based hyperparameter optimization M Wistuba, N Schilling, L Schmidt-Thieme Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 90 | 2015 |
| Two-stage transfer surrogate model for automatic hyperparameter optimization M Wistuba, N Schilling, L Schmidt-Thieme Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 86 | 2016 |
| Learning DTW-shapelets for time-series classification M Shah, J Grabocka, N Schilling, M Wistuba, L Schmidt-Thieme Proceedings of the 3rd IKDD Conference on Data Science, 2016, 1-8, 2016 | 62 | 2016 |
| Sequential model-free hyperparameter tuning M Wistuba, N Schilling, L Schmidt-Thieme 2015 IEEE international conference on data mining, 1033-1038, 2015 | 56 | 2015 |
| Hyperparameter optimization with factorized multilayer perceptrons N Schilling, M Wistuba, L Drumond, L Schmidt-Thieme Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 51 | 2015 |
| Hyperparameter optimization machines M Wistuba, N Schilling, L Schmidt-Thieme 2016 IEEE international conference on data science and advanced analytics …, 2016 | 47 | 2016 |
| Automatic frankensteining: Creating complex ensembles autonomously M Wistuba, N Schilling, L Schmidt-Thieme Proceedings of the 2017 SIAM International Conference on Data Mining, 741-749, 2017 | 46 | 2017 |
| Scalable hyperparameter optimization with products of gaussian process experts N Schilling, M Wistuba, L Schmidt-Thieme Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 42 | 2016 |
| Latent time-series motifs J Grabocka, N Schilling, L Schmidt-Thieme ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 1-20, 2016 | 39 | 2016 |
| Near real-time geolocation prediction in twitter streams via matrix factorization based regression N Duong-Trung, N Schilling, L Schmidt-Thieme Proceedings of the 25th ACM international on conference on information and …, 2016 | 27 | 2016 |
| Calculation of upper esophageal sphincter restitution time from high resolution manometry data using machine learning M Jungheim, A Busche, S Miller, N Schilling, L Schmidt-Thieme, M Ptok Physiology & behavior 165, 413-424, 2016 | 26 | 2016 |
| Learning data set similarities for hyperparameter optimization initializations. M Wistuba, N Schilling, L Schmidt-Thieme Metasel@ pkdd/ecml, 15-26, 2015 | 21 | 2015 |
| Joint model choice and hyperparameter optimization with factorized multilayer perceptrons N Schilling, M Wistuba, L Drumond, L Schmidt-Thieme 2015 IEEE 27th International Conference on Tools with Artificial …, 2015 | 14 | 2015 |
| Event Prediction in Pharyngeal High-Resolution Manometry. N Schilling, A Busche, S Miller, M Jungheim, M Ptok, L Schmidt-Thieme ECDA, 341-352, 2013 | 4 | 2013 |
| An effective approach for geolocation prediction in twitter streams using clustering based discretization N Duong-Trung, N Schilling, LR Drumond, L Schmidt-Thieme Archives of Data Science, Series A, 2017 | 3 | 2017 |
| Towards distributed pairwise ranking using implicit feedback M Jameel, N Schilling, L Schmidt-Thieme The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 2 | 2018 |
| Bank card usage prediction exploiting geolocation information M Wistuba, N Duong-Trung, N Schilling, L Schmidt-Thieme arXiv preprint arXiv:1610.03996, 2016 | 2 | 2016 |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyВерификована је имејл адреса на ismll.uni-hildesheim.de