Deriving cyber use cases from graph projections of cyber data represented as bipartite graphs. - Mohammed Eslami; George Zheng; Hamed Eramian; Georgiy Levchuk (IEEE BigData, 2017)

Anomaly detection on bipartite graphs for cyber situational awareness and threat detection. - Mohammed Eslami; George Zheng; Hamed Eramian; Georgiy Levchuk (IEEE BigData, 2017)

Hyperparameter Optimization of Topological Features for Machine Learning Applications. - Francis C. Motta; John Harer; Nick Leiby; Franco Marinozzi; Scott Novotney; Gabe Rocklin; Jed Singer; Devin Strickland; Matt Vaughn; Christopher J. Tralie; Rossella Bedini; Fabiano Bini; et al. (ICMLA, 2019)

Extracting Global Dynamics of Loss Landscape in Deep Learning Models. - Mohammed Eslami; Hamed Eramian; Marcio Gameiro; William D. Kalies; Konstantin Mischaikow (CoRR, 2021)

Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion. - Yuanqing Tang; Zhi Li; Mansoor Ani Najeeb Nellikkal; Hamed Eramian; Emory M. Chan; Alexander J. Norquist; D. Frank Hsu; Joshua Schrier (J. Chem. Inf. Model., 2021)

Prediction of whole-cell transcriptional response with machine learning. - Mohammed Eslami; Amin Espah Borujeni; Hamed Eramian; Mark Weston; George Zheng; Joshua Urrutia; Carolyn Corbet; Diveena Becker; Paul Maschhoff; Katie Clowers; Alexander Cristofaro; Hamid Doost Hosseini; et al. (Bioinform., 2022)