Παρακολούθηση
Patrick Schäfer
Patrick Schäfer
Department of Computer Science, Humboldt-University Berlin
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα hu-berlin.de - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
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The BOSS is concerned with time series classification in the presence of noise
P Schäfer
Data Mining and Knowledge Discovery 29, 1505-1530, 2015
6872015
Fast and Accurate Time Series Classification with WEASEL
P Schäfer, U Leser
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
3102017
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
2552012
Multivariate time series classification with WEASEL+ MUSE
P Schäfer, U Leser
3rd ECML/PKDD Workshop on AALTD, 2018., 2018
2242018
Scalable time series classification
P Schäfer
Data Mining and Knowledge Discovery 30 (5), 1273-1298, 2016
1862016
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
1212024
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
872014
TEASER: early and accurate time series classification
P Schäfer, U Leser
Data mining and knowledge discovery 34 (5), 1336-1362, 2020
742020
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
572012
ClaSP: Parameter-free Time Series Segmentation
A Ermshaus, P Schäfer, U Leser
Data Mining and Knowledge Discovery 2023, 1--39, 2023
442023
ClaSP - Time Series Segmentation
P Schäfer, A Ermshaus, U Leser
Proceedings of the 30th ACM International Conference on Information …, 2021
392021
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
372014
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
332019
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
302020
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
292019
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
222023
Classifying Land Cover from Satellite Images Using Time Series Analytics.
P Schäfer, D Pflugmacher, P Hostert, U Leser
EDBT/ICDT Workshops, 10-15, 2018
222018
Motiflets: Simple and Accurate Detection of Motifs in Time Series
P Schäfer, U Leser
Proceedings of the VLDB Endowment 16 (4), 725-737, 2022
212022
Towards time series classification without human preprocessing
P Schäfer
International Conference on Machine Learning and Data Mining in Pattern …, 2014
212014
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