3 citations · 5 across the 8 of their papers we have counts for
12 papers
Mixed-resolution hybrid modeling in an element-based framework
Kara Bocan, Natasa Miskov-Zivanov
Computational modeling of a complex system is limited by the parts of the system with the least information. While detailed models and high-resolution data may be available for par…
Automating Knowledge-Driven Model Recommendation: Methodology, Evaluation, and Key Challenges
Adam A. Butchy, Cheryl A. Telmer, Natasa Miskov-Zivanov
There is significant interest in using existing repositories of biological entities, relationships, and models to automate biological model assembly and extension. Current methods…
New advances in the automation of context-aware information selection and guided model assembly
Yasmine Ahmed, Adam A Butchy, Khaled Sayed +2
The automated assembly and extension of dynamic network models using information extracted from literature are challenging due to the amount and inconsistency in published literatu…
Guided assembly of cellular network models from knowledge in literature
Yasmine Ahmed, Natasa Miskov-Zivanov
Computational modeling is crucial for understanding and analyzing complex systems. In biology, model creation is a human dependent task that requires reading hundreds of papers and…
DiSH-trend: Intervention Modeling Simulator That Accounts for Trend Influences
Stefan Andjelkovic, Natasa Miskov-Zivanov
Simulation on directed graphs is an important method for understanding the dynamics in the systems where connectivity graphs contain cycles. Discrete Stochastic Heterogeneous Simul…
ACCORDION: Clustering and Selecting Relevant Data for Guided Network Extension and Query Answering
Yasmine Ahmed, Cheryl Telmer, Natasa Miskov-Zivanov
Querying new information from knowledge sources, in general, and published literature, in particular, aims to provide precise and quick answers to questions raised about a system u…