| The BOSS is concerned with time series classification in the presence of noise P Schäfer Data Mining and Knowledge Discovery 29, 1505-1530, 2015 | 687 | 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 | 310 | 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 | 255 | 2012 |
| Multivariate time series classification with WEASEL+ MUSE P Schäfer, U Leser 3rd ECML/PKDD Workshop on AALTD, 2018., 2018 | 224 | 2018 |
| Scalable time series classification P Schäfer Data Mining and Knowledge Discovery 30 (5), 1273-1298, 2016 | 186 | 2016 |
| Bake off redux: a review and experimental evaluation of recent time series classification algorithms M Middlehurst, P Schäfer, A Bagnall Data Mining and Knowledge Discovery, 1-74, 2024 | 121 | 2024 |
| 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 | 87 | 2014 |
| TEASER: early and accurate time series classification P Schäfer, U Leser Data mining and knowledge discovery 34 (5), 1336-1362, 2020 | 74 | 2020 |
| 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 | 57 | 2012 |
| ClaSP: Parameter-free Time Series Segmentation A Ermshaus, P Schäfer, U Leser Data Mining and Knowledge Discovery 2023, 1--39, 2023 | 44 | 2023 |
| ClaSP - Time Series Segmentation P Schäfer, A Ermshaus, U Leser Proceedings of the 30th ACM International Conference on Information …, 2021 | 39 | 2021 |
| 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 | 37 | 2014 |
| WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification P Schäfer, U Leser Machine Learning 112 (12), 4763–4788, 2023 | 33* | 2023 |
| Data series management (dagstuhl seminar 19282) A Bagnall, RL Cole, T Palpanas, K Zoumpatianos Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2019 | 33 | 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 | 30 | 2020 |
| 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 | 29 | 2019 |
| Window size selection in unsupervised time series analytics: A review and benchmark A Ermshaus, P Schäfer, U Leser International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023 | 22 | 2023 |
| Classifying Land Cover from Satellite Images Using Time Series Analytics. P Schäfer, D Pflugmacher, P Hostert, U Leser EDBT/ICDT Workshops, 10-15, 2018 | 22 | 2018 |
| Motiflets: Simple and Accurate Detection of Motifs in Time Series P Schäfer, U Leser Proceedings of the VLDB Endowment 16 (4), 725-737, 2022 | 21 | 2022 |
| Towards time series classification without human preprocessing P Schäfer International Conference on Machine Learning and Data Mining in Pattern …, 2014 | 21 | 2014 |
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinE-mailová adresa ověřena na: informatik.hu-berlin.de
