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 002; et al. (IWSG-Life, 2011)

Molecular simulation grid. - Jens Krüger 002; Georg Birkenheuer; Dirk Blunk; Sebastian Breuers; André Brinkmann; Gregor Fels; Sandra Gesing; Richard Grunzke; Oliver Kohlbacher; Nico Kruber; Ulrich Lang 002; Lars Packschies; et al. (J. Cheminformatics, 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 002; et al. (J. Cheminformatics, 2011)

SFA: a symbolic fourier approximation and index for similarity search in high dimensional datasets. - Patrick Schäfer 001; Mikael Högqvist (EDBT, 2012)

A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics. - Sandra Gesing; Richard Grunzke; Jens Krüger 002; Georg Birkenheuer; Martin Wewior; Patrick Schäfer 001; Bernd Schuller; Johannes Schuster; Sonja Herres-Pawlis; Sebastian Breuers; Ákos Balaskó; Miklos Kozlovszky; et al. (J. Grid Comput., 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 002; Ulrich Lang 002; et al. (J. Cheminformatics, 2012)

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 002; et al. (J. Cheminformatics, 2013)

Towards Time Series Classification without Human Preprocessing. - Patrick Schäfer 001 (MLDM, 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 001; Charlotta Schärfe; Tobias Schlemmer; Thomas Steinke 001; et al. (Concurr. Comput. Pract. Exp., 2014)

Experiencing the Shotgun Distance for Time Series Analysis. - Patrick Schäfer 001 (Trans. Mach. Learn. Data Min., 2014)

The BOSS is concerned with time series classification in the presence of noise. - Patrick Schäfer 001 (Data Min. Knowl. Discov., 2015)

Scalable time series similarity search for data analytics. - Patrick Schäfer 001 (2015)

Scalable time series classification. - Patrick Schäfer 001 (Data Min. Knowl. Discov., 2016)

Benchmarking Univariate Time Series Classifiers. - Patrick Schäfer 001; Ulf Leser (BTW, 2017)

Fast and Accurate Time Series Classification with WEASEL. - Patrick Schäfer 001; Ulf Leser (CIKM, 2017)

Multivariate Time Series Classification with WEASEL+MUSE. - Patrick Schäfer 001; Ulf Leser (CoRR, 2017)

Classifying Land Cover from Satellite Images Using Time Series Analytics. - Patrick Schäfer 001; Dirk Pflugmacher; Patrick Hostert; Ulf Leser (EDBT/ICDT Workshops, 2018)

Multidimensional range queries on modern hardware. - Stefan Sprenger 001; Patrick Schäfer 001; Ulf Leser (SSDBM, 2018)

BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads. - Stefan Sprenger 001; Patrick Schäfer 001; Ulf Leser (EDBT, 2019)

BB-Tree: A Main-Memory Index Structure for Multidimensional Range Queries. - Stefan Sprenger 001; Patrick Schäfer 001; Ulf Leser (ICDE, 2019)

Guest editorial for special issue on time series classification. - Houshang Darabi; Georgiana Ifrim; Patrick Schäfer 001; Diego Furtado Silva (IEEE CAA J. Autom. Sinica, 2019)

timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers. - Felix Mujkanovic; Vanja Doskoc; Martin Schirneck; Patrick Schäfer 001; Tobias Friedrich 001 (CoRR, 2020)

TEASER: early and accurate time series classification. - Patrick Schäfer 001; Ulf Leser (Data Min. Knowl. Discov., 2020)

ClaSP - Time Series Segmentation. - Patrick Schäfer 001; Arik Ermshaus; Ulf Leser (CIKM, 2021)

Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark. - Arik Ermshaus; Patrick Schäfer 001; Ulf Leser (AALTD@ECML/PKDD, 2022)

Motiflets - Fast and Accurate Detection of Motifs in Time Series. - Patrick Schäfer 001; Ulf Leser (CoRR, 2022)

Motiflets - Simple and Accurate Detection of Motifs in Time Series. - Patrick Schäfer 001; Ulf Leser (Proc. VLDB Endow., 2022)

Human Activity Segmentation Challenge @ ECML/PKDD'23. - Arik Ermshaus; Patrick Schäfer 001; Anthony J. Bagnall; Thomas Guyet; Georgiana Ifrim; Vincent Lemaire 001; Ulf Leser; Colin Leverger; Simon Malinowski (AALTD@ECML/PKDD, 2023)

ClaSP: parameter-free time series segmentation. - Arik Ermshaus; Patrick Schäfer 001; Ulf Leser (Data Min. Knowl. Discov., 2023)

WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification. - Patrick Schäfer 001; Ulf Leser (Mach. Learn., 2023)

Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSP. - Arik Ermshaus; Patrick Schäfer 001; Ulf Leser (AALTD@ECML/PKDD, 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 001; Anthony J. Bagnall (CoRR, 2024)

Raising the ClaSS of Streaming Time Series Segmentation. - Arik Ermshaus; Patrick Schäfer 001; Ulf Leser (Proc. VLDB Endow., 2024)

Bake off redux: a review and experimental evaluation of recent time series classification algorithms. - Matthew Middlehurst; Patrick Schäfer 001; Anthony J. Bagnall (Data Min. Knowl. Discov., 2024)

Discovering Leitmotifs in Multidimensional Time Series. - Patrick Schäfer 001; Ulf Leser (Proc. VLDB Endow., 2024)

Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms. - Matthew Middlehurst; Patrick Schäfer 001; Anthony J. Bagnall (Data Min. Knowl. Discov., 2024)

Fast and Exact Similarity Search in Less than a Blink of an Eye. - Patrick Schäfer 001; Jakob Brand; Ulf Leser; Botao Peng; Themis Palpanas (ICDE, 2025)

CLaP - State Detection from Time Series. - Arik Ermshaus; Patrick Schäfer 001; Ulf Leser (CoRR, 2025)