Patrick Schäfer

Orcid: 0000-0003-2244-6065

Affiliations:
  • Humboldt University of Berlin, Department of Computer Science, Germany
  • Zuse Institute Berlin, Germany


According to our database1, Patrick Schäfer authored at least 32 papers between 2011 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification.
Mach. Learn., December, 2023

ClaSP: parameter-free time series segmentation.
Data Min. Knowl. Discov., May, 2023

Raising the ClaSS of Streaming Time Series Segmentation.
CoRR, 2023

Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
CoRR, 2023

Human Activity Segmentation Challenge @ ECML/PKDD'23.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
Motiflets - Simple and Accurate Detection of Motifs in Time Series.
Proc. VLDB Endow., 2022

Motiflets - Fast and Accurate Detection of Motifs in Time Series.
CoRR, 2022

Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021
ClaSP - Time Series Segmentation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
TEASER: early and accurate time series classification.
Data Min. Knowl. Discov., 2020

timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers.
CoRR, 2020

2019
Guest editorial for special issue on time series classification.
IEEE CAA J. Autom. Sinica, 2019

BB-Tree: A Main-Memory Index Structure for Multidimensional Range Queries.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads.
Proceedings of the Advances in Database Technology, 2019

2018
Multidimensional range queries on modern hardware.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Classifying Land Cover from Satellite Images Using Time Series Analytics.
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

2017
Multivariate Time Series Classification with WEASEL+MUSE.
CoRR, 2017

Fast and Accurate Time Series Classification with WEASEL.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Benchmarking Univariate Time Series Classifiers.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Scalable time series classification.
Data Min. Knowl. Discov., 2016

2015
Scalable time series similarity search for data analytics.
PhD thesis, 2015

The BOSS is concerned with time series classification in the presence of noise.
Data Min. Knowl. Discov., 2015

2014
Experiencing the Shotgun Distance for Time Series Analysis.
Trans. Mach. Learn. Data Min., 2014

Standards-based metadata management for molecular simulations.
Concurr. Comput. Pract. Exp., 2014

Towards Time Series Classification without Human Preprocessing.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

2013
The MoSGrid - e-science gateway: molecular simulations in a distributed computing environment.
J. Cheminformatics, 2013

2012
MoSGrid: efficient data management and a standardized data exchange format for molecular simulations in a grid environment.
J. Cheminformatics, 2012

A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics.
J. Grid Comput., 2012

SFA: a symbolic fourier approximation and index for similarity search in high dimensional datasets.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
MoSGrid - a molecular simulation grid as a new tool in computational chemistry, biology and material science.
J. Cheminformatics, 2011

Molecular simulation grid.
J. Cheminformatics, 2011



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