Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Data-Science-Challenge: Graph-based analysis and demand prediction for bike rentals

M. Kricke, M. Grimmer, M. Junghanns, E. Peukert, and E. Rahm. (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martin Potthast

Zero-shot Generative Large Language Models for Systematic Review Screening AutomationS. Wang, H. Scells, S. Zhuang, M. Potthast, B. Koopman, and G. Zuccon. Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14608 of Lecture Notes in Computer Science, page 403--420. Berlin Heidelberg New York, Springer, (March 2024)Identifying queries in instant search logsM. Fischer, K. Komlossy, B. Stein, M. Potthast, and M. Hagen. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, NY, USA, ACM, (July 2021)28. September - 2. Oktober 2020M. Völske, J. Bevendorff, J. Kiesel, B. Stein, M. Fröbe, M. Hagen, and M. Potthast. Gesellschaft für Informatik, Bonn, (2021)

Other publications of authors with the same name

A Modern and Sophisticated Host Based Intrusion Detection Data SetM. Grimmer, M. Röhling, D. Kreußel, and S. Ganz. (2019)Intrusion detection on system call graphsM. Grimmer, M. Röhling, M. Kricke, B. Franczyk, and E. Rahm. Sicherheit in vernetzten Systemen, pages G1--G18, (2018)Preserving Recomputability of Results from Big Data Transformation Workflows: Depending on External Systems and Human InteractionsM. Kricke, M. Grimmer, and M. Schmeißer. Datenbank-Spektrum, (September 2017)The First Data Science Challenge at BTW 2017P. Hirmer, T. Waizenegger, G. Falazi, M. Abdo, Y. Volga, A. Askinadze, M. Liebeck, S. Conrad, T. Hildebrandt, C. Indiono and 4 other author(s). Datenbank-Spektrum, (July 2017)Preserving recomputability of results from big data transformation workflowsM. Kricke, M. Grimmer, and M. Schmeißer. Datenbank Spektrum, 17 (3): 245--253 (November 2017)Dataset Report: LID-DS 2021M. Grimmer, T. Kaelble, F. Nirsberger, E. Schulze, T. Rucks, J. Hoffmann, and E. Rahm. International Conference on Critical Information Infrastructures Security, page 63--73. Springer, (2022)Standardized container virtualization approach for collecting host intrusion detection dataM. Röhling, M. Grimmer, D. Kreußel, J. Hoffmann, and B. Franczyk. Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, IEEE, (September 2019)Data-Science-Challenge: Graph-based analysis and demand prediction for bike rentalsM. Kricke, M. Grimmer, M. Junghanns, E. Peukert, and E. Rahm. (2017)

PUMA

Disambiguation of "Grimmer, Martin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Data-Science-Challenge: Graph-based analysis and demand prediction for bike rentals

Please choose a person to relate this publication to

Martin Potthast

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Grimmer, Martin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data-Science-Challenge: Graph-based analysis and demand prediction for bike rentals

Please choose a person to relate this publication to

Martin Potthast

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Data-Science-Challenge: Graph-based analysis and demand prediction for bike rentals