Patrick Schäfer

According to our database, Patrick Schäfer authored at least 35 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall

Data Min. Knowl. Discov., November, 2024

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

Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall

Data Min. Knowl. Discov., July, 2024

Raising the ClaSS of Streaming Time Series Segmentation.

Arik Ermshaus, Patrick Schäfer, Ulf Leser

Proc. VLDB Endow., April, 2024

Discovering Leitmotifs in Multidimensional Time Series.

Patrick Schäfer, Ulf Leser

CoRR, 2024

aeon: a Python toolkit for learning from time series.

Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall

CoRR, 2024

2023

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

Patrick Schäfer, Ulf Leser

Mach. Learn., December, 2023

ClaSP: parameter-free time series segmentation.

Arik Ermshaus, Patrick Schäfer, Ulf Leser

Data Min. Knowl. Discov., May, 2023

Human Activity Segmentation Challenge @ ECML/PKDD'23.

Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Motiflets - Simple and Accurate Detection of Motifs in Time Series.

Patrick Schäfer, Ulf Leser

Proc. VLDB Endow., 2022

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

Patrick Schäfer, Ulf Leser

CoRR, 2022

Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark.

Arik Ermshaus, Patrick Schäfer, Ulf Leser

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

ClaSP - Time Series Segmentation.

Patrick Schäfer, Arik Ermshaus, Ulf Leser

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.

Patrick Schäfer, Ulf Leser

Data Min. Knowl. Discov., 2020

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

Felix Mujkanovic, Vanja Doskoc, Martin Schirneck, Patrick Schäfer, Tobias Friedrich

CoRR, 2020

2019

Guest editorial for special issue on time series classification.

Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva

IEEE CAA J. Autom. Sinica, 2019

BB-Tree: A Main-Memory Index Structure for Multidimensional Range Queries.

Stefan Sprenger, Patrick Schäfer, Ulf Leser

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads.

Stefan Sprenger, Patrick Schäfer, Ulf Leser

Proceedings of the Advances in Database Technology, 2019

2018

Multidimensional range queries on modern hardware.

Stefan Sprenger, Patrick Schäfer, Ulf Leser

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Classifying Land Cover from Satellite Images Using Time Series Analytics.

Patrick Schäfer, Dirk Pflugmacher, Patrick Hostert, Ulf Leser

Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

2017

Multivariate Time Series Classification with WEASEL+MUSE.

Patrick Schäfer, Ulf Leser

CoRR, 2017

Fast and Accurate Time Series Classification with WEASEL.

Patrick Schäfer, Ulf Leser

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Benchmarking Univariate Time Series Classifiers.

Patrick Schäfer, Ulf Leser

Proceedings of the Datenbanksysteme für Business, 2017

2016

Scalable time series classification.

Patrick Schäfer

Data Min. Knowl. Discov., 2016

2015

Scalable time series similarity search for data analytics.

Patrick Schäfer

PhD thesis, 2015

The BOSS is concerned with time series classification in the presence of noise.

Patrick Schäfer

Data Min. Knowl. Discov., 2015

2014

Experiencing the Shotgun Distance for Time Series Analysis.

Patrick Schäfer

Trans. Mach. Learn. Data Min., 2014

Standards-based metadata management for molecular simulations.

Richard Grunzke, Sebastian Breuers, Sandra Gesing, Sonja Herres-Pawlis, Martin Kruse, Dirk Blunk, Luis de la Garza, Lars Packschies, Patrick Schäfer, Charlotta Schärfe, Tobias Schlemmer, Thomas Steinke, Bernd Schuller, Ralph Müller-Pfefferkorn, René Jäkel, Wolfgang E. Nagel, Malcolm P. Atkinson, Jens Krüger

Concurr. Comput. Pract. Exp., 2014

Towards Time Series Classification without Human Preprocessing.

Patrick Schäfer

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.

Lars Packschies, Georg Birkenheuer, Dirk Blunk, Sebastian Breuers, André Brinkmann, Ines dos Santos Vieira, Gregor Fels, Sandra Gesing, Richard Grunzke, Sonja Herres-Pawlis, Oliver Kohlbacher, Jens Krüger, Martin Kruse, Ulrich Lang, Ralph Müller-Pfefferkorn, Patrick Schäfer, Tobias Schlemmer, Thomas Steinke, Klaus-Dieter Warzecha, Andreas Zink

J. Cheminformatics, 2013

2012

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

Georg Birkenheuer, Dirk Blunk, Sebastian Breuers, André Brinkmann, Ines dos Santos Vieira, Gregor Fels, Sandra Gesing, Richard Grunzke, Sonja Herres-Pawlis, Oliver Kohlbacher, Jens Krüger, Ulrich Lang, Lars Packschies, Ralph Müller-Pfefferkorn, Patrick Schäfer, Thomas Steinke, Klaus-Dieter Warzecha, Martin Wewior

J. Cheminformatics, 2012

A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics.

Sandra Gesing, Richard Grunzke, Jens Krüger, Georg Birkenheuer, Martin Wewior, Patrick Schäfer, Bernd Schuller, Johannes Schuster, Sonja Herres-Pawlis, Sebastian Breuers, Ákos Balaskó, Miklos Kozlovszky, Anna Szikszay Fabri, Lars Packschies, Péter Kacsuk, Dirk Blunk, Thomas Steinke, André Brinkmann, Gregor Fels, Ralph Müller-Pfefferkorn, René Jäkel, Oliver Kohlbacher

J. Grid Comput., 2012

SFA: a symbolic fourier approximation and index for similarity search in high dimensional datasets.

Patrick Schäfer, Mikael Högqvist

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.

Georg Birkenheuer, Dirk Blunk, Sebastian Breuers, André Brinkmann, Ines dos Santos Vieira, Gregor Fels, Sandra Gesing, Richard Grunzke, Sonja Herres-Pawlis, Oliver Kohlbacher, Nico Kruber, Jens Krüger, Ulrich Lang, Lars Packschies, Ralph Müller-Pfefferkorn, Patrick Schäfer, Hans-Günther Schmalz, Thomas Steinke, Klaus-Dieter Warzecha, Martin Wewior

J. Cheminformatics, 2011

Molecular simulation grid.

Jens Krüger, Georg Birkenheuer, Dirk Blunk, Sebastian Breuers, André Brinkmann, Gregor Fels, Sandra Gesing, Richard Grunzke, Oliver Kohlbacher, Nico Kruber, Ulrich Lang, Lars Packschies, Ralph Müller-Pfefferkorn, Sonja Herres-Pawlis, Patrick Schäfer, Hans-Günther Schmalz, Thomas Steinke, Klaus-Dieter Warzecha, Martin Wewior

J. Cheminformatics, 2011

Granular Security for a Science Gateway in Structural Bioinformatics.

Sandra Gesing, Richard Grunzke, Ákos Balaskó, Georg Birkenheuer, Dirk Blunk, Sebastian Breuers, André Brinkmann, Gregor Fels, Sonja Herres-Pawlis, Péter Kacsuk, Miklos Kozlovszky, Jens Krüger, Lars Packschies, Patrick Schäfer, Bernd Schuller, Johannes Schuster, Thomas Steinke, Anna Szikszay Fabri, Martin Wewior, Ralph Müller-Pfefferkorn, Oliver Kohlbacher

Proceedings of the 3rd International Workshop on Science Gateways for Life Sciences, 2011