Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Rebekka Burkholz

Showing results (1-10 of 20) with videos related to

Pageof 2
Sort By:
Scientific Reports|April 27, 2019
Efficient message passing for cascade size distributionsRebekka Burkholz
Physical Review. E|September 27, 2018
Correlations between thresholds and degrees: An analytic approach to model attacks and failure cascadesRebekka Burkholz, Frank Schweitzer
Physical Review. E|May 16, 2018
Framework for cascade size calculations on random networksRebekka Burkholz, Frank Schweitzer
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|December 17, 2024
Cascade Size Distributions: Why They Matter and How to Compute Them EfficientlyRebekka Burkholz, John Quackenbush
Glycobiology|June 30, 2021
Glycowork: A Python package for glycan data science and machine learningLuc Thomès, Rebekka Burkholz, Daniel Bojar
Physical Review. E|May 14, 2016
How damage diversification can reduce systemic riskRebekka Burkholz, Antonios Garas, Frank Schweitzer
Cell Reports|June 16, 2021
Using graph convolutional neural networks to learn a representation for glycansRebekka Burkholz, John Quackenbush, Daniel Bojar
Scientific Reports|May 4, 2018
Explicit size distributions of failure cascades redefine systemic risk on finite networksRebekka Burkholz, Hans J Herrmann, Frank Schweitzer
Research Square|March 30, 2023
Biologically informed NeuralODEs for genome-wide regulatory dynamicsIntekhab Hossain, Viola Fanfani, John Quackenbush, et al.
Genome Biology|May 22, 2024
Biologically informed NeuralODEs for genome-wide regulatory dynamicsIntekhab Hossain, Viola Fanfani, Jonas Fischer, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Scientific Reports|April 27, 2019
Efficient message passing for cascade size distributionsRebekka Burkholz
Physical Review. E|September 27, 2018
Correlations between thresholds and degrees: An analytic approach to model attacks and failure cascadesRebekka Burkholz, Frank Schweitzer
Physical Review. E|May 16, 2018
Framework for cascade size calculations on random networksRebekka Burkholz, Frank Schweitzer
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|December 17, 2024
Cascade Size Distributions: Why They Matter and How to Compute Them EfficientlyRebekka Burkholz, John Quackenbush
Glycobiology|June 30, 2021
Glycowork: A Python package for glycan data science and machine learningLuc Thomès, Rebekka Burkholz, Daniel Bojar
Physical Review. E|May 14, 2016
How damage diversification can reduce systemic riskRebekka Burkholz, Antonios Garas, Frank Schweitzer
Cell Reports|June 16, 2021
Using graph convolutional neural networks to learn a representation for glycansRebekka Burkholz, John Quackenbush, Daniel Bojar
Scientific Reports|May 4, 2018
Explicit size distributions of failure cascades redefine systemic risk on finite networksRebekka Burkholz, Hans J Herrmann, Frank Schweitzer
Research Square|March 30, 2023
Biologically informed NeuralODEs for genome-wide regulatory dynamicsIntekhab Hossain, Viola Fanfani, John Quackenbush, et al.
Genome Biology|May 22, 2024
Biologically informed NeuralODEs for genome-wide regulatory dynamicsIntekhab Hossain, Viola Fanfani, Jonas Fischer, et al.
Pageof 2