5 citations · 6 across the 8 of their papers we have counts for
8 papers
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
Nisha Pillai, Bindu Nanduri, Michael J Rothrock +2
Synthetic microbiomes offer new possibilities for modulating microbiota, to address the barriers in multidtug resistance (MDR) research. We present a Bayesian optimization approach…
Graph Bayesian Optimization for Multiplex Influence Maximization
Zirui Yuan, Minglai Shao, Zhiqian Chen
Influence maximization (IM) is the problem of identifying a limited number of initial influential users within a social network to maximize the number of influenced users. However,…
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
Zonghan Zhang, Zijian Zhang, Zhiqian Chen
Due to the significance of its various applications, source localization has garnered considerable attention as one of the most important means to confront diffusion hazards. Multi…
Towards Interpreting Multi-Objective Feature Associations
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock +3
Understanding how multiple features are associated and contribute to a specific objective is as important as understanding how each feature contributes to a particular outcome. Int…
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization
Ganga Gireesan, Nisha Pillai, Michael J Rothrock +3
Pathogen control is a critical aspect of modern poultry farming, providing important benefits for both public health and productivity. Effective poultry management measures to redu…
XFlow: Benchmarking Flow Behaviors over Graphs
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
The occurrence of diffusion on a graph is a prevalent and significant phenomenon, as evidenced by the spread of rumors, influenza-like viruses, smart grid failures, and similar eve…