Matthew Christopher Schmidt

Algorithms that Empower? Platformization in US Intelligence Analysis

PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS).

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems

PLoS Computational Biology, 8(5).

Efficient alpha, beta-motif finder for identification of phenotype-related functional modules

BMC Bioinformatics, 12.

On the parameterized complexity of the Multi-MCT and Multi-MCST problems

Journal of Combinatorial Optimization, 21(2), 151–158.

Theoretical underpinnings for maximal clique enumeration on perturbed graphs

Theoretical Computer Science, 411(26-28), 2520–2536.

A scalable, parallel algorithm for maximal clique enumeration

Journal of Parallel and Distributed Computing, 69(4), 417–428.

On parameterized complexity of the Multi-MCS problem

Theoretical Computer Science, 410(21-23), 2024–2032.

Coupling graph perturbation theory with scalable parallel algorithms for large-scale enumeration of maximal cliques in biological graphs - art. no. 012053

Samatova, N. F., Schmidt, M. C., Hendrix, W., Breimyer, P., Thomas, K., & Park, B. H. Scidac 2008: Scientific discovery through advanced computing, 125, 12053–12053.