Patrick Schäfer

Patrick Schäfer

Humboldt-Universität zu Berlin

H-index: 16

Europe-Germany

About Patrick Schäfer

Patrick Schäfer, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Humboldt-Universität zu Berlin, specializes in the field of Time Series, Similarity Search, Classification, Segmentation, Motif Discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification

Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers

ClaSP: Parameter-free Time Series Segmentation

Advanced Analytics and Learning on Temporal Data

Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers

Window size selection in unsupervised time series analytics: A review and benchmark

Raising the ClaSS of Streaming Time Series Segmentation

Patrick Schäfer Information

University

Position

Department of Computer Science

Citations(all)

1979

Citations(since 2020)

1590

Cited By

894

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

22

i10Index(since 2020)

19

Email

University Profile Page

Humboldt-Universität zu Berlin

Google Scholar

View Google Scholar Profile

Patrick Schäfer Skills & Research Interests

Time Series

Similarity Search

Classification

Segmentation

Motif Discovery

Top articles of Patrick Schäfer

Title

Journal

Author(s)

Publication Date

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

Matthew Middlehurst

Patrick Schäfer

Anthony Bagnall

2024/4/19

WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification

Machine Learning

Patrick Schäfer

Ulf Leser

2023/9/19

Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers

Thomas Guyet

Georgiana Ifrim

Simon Malinowski

Anthony Bagnall

Patrick Shafer

...

2023/3/20

ClaSP: Parameter-free Time Series Segmentation

Data Mining and Knowledge Discovery

Arik Ermshaus

Patrick Schäfer

Ulf Leser

2023/5

Advanced Analytics and Learning on Temporal Data

Georgiana Ifrim

Romain Tavenard

Anthony Bagnall

Patrick Schaefer

Simon Malinowski

...

2023

Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers

Georgiana Ifrim

Romain Tavenard

Anthony Bagnall

Patrick Schaefer

Simon Malinowski

...

2024/1

Window size selection in unsupervised time series analytics: A review and benchmark

Arik Ermshaus

Patrick Schäfer

Ulf Leser

2022

Raising the ClaSS of Streaming Time Series Segmentation

arXiv preprint arXiv:2310.20431

Arik Ermshaus

Patrick Schäfer

Ulf Leser

2023/10/31

Motiflets: Simple and Accurate Detection of Motifs in Time Series

PVLDB

Patrick Schäfer

Ulf Leser

2022

ClaSP - Time Series Segmentation

Patrick Schäfer

Arik Ermshaus

Ulf Leser

2021/10/26

TEASER: early and accurate time series classification

Data mining and knowledge discovery

Patrick Schäfer

Ulf Leser

2020/9

timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers

arXiv preprint arXiv:2007.07606

Felix Mujkanovic

Vanja Doskoč

Martin Schirneck

Patrick Schäfer

Tobias Friedrich

2020/7/15

BB-Tree: A main-memory index structure for static multidimensional workloads

Stefan Sprenger

Patrick Schäfer

Ulf Leser

2020

See List of Professors in Patrick Schäfer University(Humboldt-Universität zu Berlin)