Contact:
Teaching:
Source codes and Frameworks:
Selected Publications
- A. Ermshaus, P. Schäfer, U. Leser, Raising the ClaSS of Streaming Time Series Segmentation, PVLDB, Guangzhou, 2024. (Webpage, Paper)
- Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall, Bake off redux: a review and experimental evaluation of recent time series classification algorithms, Data Min Knowl Disc, 2024. (Webpage, Paper)
- A. Ermshaus, P. Schäfer, U. Leser, ClaSP: parameter-free time series segmentation, Data Min Knowl Disc, 2023. (Webpage, Paper, Code)
- P. Schäfer, U. Leser, WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification, Journal Track @ ECML/PKDD 2023. (Paper, Webpage/Code)
- P. Schäfer, U. Leser, Motiflets - Simple and Accurate Detection of Motifs in Time Series, PVLDB, Vancouver, 2023. (Webpage, Paper, Code)
- A. Ermshaus, P. Schäfer, U. Leser, Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark, AALTD @ ECML/PKDD, 2022, (Paper, Webpage/Code)
- P. Schäfer, A. Ermshaus, U. Leser, ClaSP - Time Series Segmentation, CIKM, Virtual, 2021(Webpage, Paper, Code)
- P. Schäfer, U. Leser, TEASER: Early and Accurate Time Series Classification, ECML / PKDD, Virtual, 2020. (Webpage, Paper, Code)
- S. Sprenger, P. Schäfer, Ulf Leser, BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads. Int. Conf. on Extending Database Technologies (EDBT) Lisbon, Portugal, 2019. (Paper)
- S. Sprenger, P. Schäfer, Ulf Leser, BB-Tree: A main-memory index structure for multidimensional range queries (short paper). ICDE, Macau, China, 2019.
- P. Schäfer, Ulf Leser, Multivariate Time Series Classification with WEASEL+MUSE, 3rd ECML/PKDD Workshop on AALTD, 2018. (Paper, Code)
- S. Sprenger, P. Schäfer, Ulf Leser, Multidimensional Range Queries on Modern Hardware, Prepint. (Paper)
- P. Schäfer, Dirk Pflugmacher, Patrick Hostert, Ulf Leser, Classifying land cover from satellite images using time series analytics, Workshop Proceedings of the EDBT/ICDT 2018. (Paper)
- P. Schäfer, Ulf Leser, Multivariate Time Series Classification with WEASEL+MUSE, Prepint. (Webpage, Paper, Code)
- P. Schäfer, Ulf Leser, Fast and Accurate Time Series Classification with WEASEL, CIKM 2017. (Webpage, Paper, Code)
- P. Schäfer, Ulf Leser, Benchmarking Univariate Time Series Classifiers, BTW 2017 (Paper)
- P. Schäfer, Scalable Time Series Classification, ECML/PKDD 2016, Data Min Knowl Disc 2016 (Webpage, Paper, Keynote, PPT, Code)
- P. Schäfer, Scalable Time Series Classification for Data Analytics, Dissertation 2015, (Dissertation, Keynote, PPT)
- P. Schäfer, The BOSS is concerned with time series classification in the presence of noise, Data Min Knowl Disc 2014, (Webpage, Paper, Code)
- P. Schäfer, Experiencing the Shotgun Distance for Time Series Analysis, Transactions MLDM 2014, (Webpage, Paper, Code)
- I. Potamitis, P. Schäfer, On classifying insects from their wing-beat: New results, Ecology and acoustics: emergent properties from community to landscape, Paris, France 2014.
- P. Schäfer, Towards Time Series Classification without Human Preprocessing, MLDM 2014, (Webpage, Paper, Code)
- P. Schäfer, Shooting Audio Recordings of Insects with SFA, AmiBio Workshop 2013.
- P. Schäfer, S. Dressler, SFA : a symbolic fourier approximation and index for similarity search in high dimensional datasets, EDBT 2012, (Webpage, Paper, Code)
Organization
AALTD Workshop, Organization Comittee, '22, '23, '24 "Advanced Analytics and Learning on Temporal Data"
Human Activity Segmentation Challenge@ECML/PKDD'23, Link
Guest editorial for special issue on time series classification, 2019. Link
Research Interests:
- Big Data Analytics
- Time Series
- Information Retrieval
- NoSQL
Reviewer & Program Committee:
- VLDB since '24
- ECML since '21
- AAAI '21, '22, '23
- IJCAI '20
- ADBIS '20
- AALTD since '16 - "Advanced Analytics and Learning on Temporal Data"
- LDWA '19 - "Large-Scale Data Management and Processing - Applications in Research and Industry"
- IEEE/CAA '19 - Special Issue on Time Series Classification
- TKDE, since '17
- Data Min Knowl Disc (Journal), since '16
- IEEE Cybernetics, since '18
Current Projects:
Past Projects:
- sktime (Former Core developer)
- MoSGrid
- Harness
- Contrail
- XtreemFS
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