| The BOSS is concerned with time series classification in the presence of noise P Schäfer Data Mining and Knowledge Discovery 29, 1505-1530, 2015 | 519 | 2015 |
| Fast and Accurate Time Series Classification with WEASEL P Schäfer, U Leser Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 225 | 2017 |
| SFA: a symbolic fourier approximation and index for similarity search in high dimensional datasets P Schäfer, M Högqvist Proceedings of the 15th international conference on extending database …, 2012 | 184 | 2012 |
| Scalable time series classification P Schäfer Data Mining and Knowledge Discovery 30 (5), 1273-1298, 2016 | 160 | 2016 |
| Multivariate time series classification with WEASEL+ MUSE P Schäfer, U Leser 3rd ECML/PKDD Workshop on AALTD, 2018., 2018 | 132 | 2018 |
| The MoSGrid science gateway – A complete solution for molecular simulations J Krüger, R Grunzke, S Gesing, S Breuers, A Brinkmann, L de la Garza, ... Journal of Chemical Theory and Computation 10 (6), 2232-2245, 2014 | 82 | 2014 |
| A single sign-on infrastructure for science gateways on a use case for structural bioinformatics S Gesing, R Grunzke, J Krüger, G Birkenheuer, M Wewior, P Schäfer, ... Journal of Grid Computing 10, 769-790, 2012 | 54 | 2012 |
| TEASER: early and accurate time series classification P Schäfer, U Leser Data mining and knowledge discovery 34 (5), 1336-1362, 2020 | 45 | 2020 |
| Standards‐based metadata management for molecular simulations R Grunzke, S Breuers, S Gesing, S Herres‐Pawlis, M Kruse, D Blunk, ... Concurrency and Computation: Practice and Experience 26 (10), 1744-1759, 2014 | 33 | 2014 |
| Data series management (dagstuhl seminar 19282) A Bagnall, RL Cole, T Palpanas, K Zoumpatianos Dagstuhl Reports 9 (7), 2019 | 24 | 2019 |
| Bb-tree: A main-memory index structure for multidimensional range queries S Sprenger, P Schäfer, U Leser 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1566-1569, 2019 | 23 | 2019 |
| timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers F Mujkanovic, V Doskoč, M Schirneck, P Schäfer, T Friedrich arXiv preprint arXiv:2007.07606, 2020 | 20 | 2020 |
| Classifying Land Cover from Satellite Images Using Time Series Analytics. P Schäfer, D Pflugmacher, P Hostert, U Leser EDBT/ICDT Workshops, 10-15, 2018 | 19 | 2018 |
| Towards time series classification without human preprocessing P Schäfer International Conference on Machine Learning and Data Mining in Pattern …, 2014 | 19 | 2014 |
| Multidimensional Range Queries on Modern Hardware S Sprenger, P Schäfer, U Leser Proceedings of the 30th International Conference on Scientific and …, 2018 | 15 | 2018 |
| Scalable time series similarity search for data analytics P Schäfer Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015 | 14 | 2015 |
| A data driven science gateway for computational workflows R Grunzke, G Birkenheuer, D Blunk, S Breuers, A Brinkmann, S Gesing, ... UNICORE Summit 2012, Dresden, Germany 15, 35-49, 2012 | 14 | 2012 |
| Granular security for a science gateway in structural bioinformatics S Gesing, R Grunzke, A Balasko, G Birkenheuer, D Blunk, S Breuers, ... University of Westminster, 2011 | 11 | 2011 |
| On classifying insects from their wing-beat: New results I Potamitis, P Schäfer Ecology and acoustics: emergent properties from community to landscape, 16-18, 2014 | 9 | 2014 |
| ClaSP - Time Series Segmentation P Schäfer, A Ermshaus, U Leser Proceedings of the 30th ACM International Conference on Information …, 2021 | 8 | 2021 |
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinBestätigte E-Mail-Adresse bei informatik.hu-berlin.de
