Hamed Eramian

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Bipartite Graph

Anomaly Detection

Situational Awareness

Top Venues

J. Chem. Inf. Model.

Publications

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, D. Benjamin Gordon, Yuval Dorfan, Jedediah Singer, Matthew Vaughn, Niall Gaffney, John Fonner, Joe Stubbs, Christopher A. Voigt, Enoch Yeung
Prediction of whole-cell transcriptional response with machine learning. Bioinform. 38 (2) (2022)
Mohammed Eslami, Hamed Eramian, Marcio Gameiro, William D. Kalies, Konstantin Mischaikow
Extracting Global Dynamics of Loss Landscape in Deep Learning Models. CoRR (2021)
Yuanqing Tang, Zhi Li, Mansoor Ani Najeeb Nellikkal, Hamed Eramian, Emory M. Chan, Alexander J. Norquist, D. Frank Hsu, Joshua Schrier
Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion. J. Chem. Inf. Model. 61 (4) (2021)
Francis Motta, John Harer, Nick Leiby, Franco Marinozzi, Scott Novotney, Gabe Rocklin, Jed Singer, Devin Strickland, Matt Vaughn, Christopher J. Tralie, Rossella Bedini, Fabiano Bini, Gilberto Bini, Hamed Eramian, Marcio Gameiro, Steven B. Haase, Hugh Haddox
Hyperparameter Optimization of Topological Features for Machine Learning Applications. ICMLA (2019)
Mohammed Eslami, George Zheng, Hamed Eramian, Georgiy Levchuk
Deriving cyber use cases from graph projections of cyber data represented as bipartite graphs. IEEE BigData (2017)
Mohammed Eslami, George Zheng, Hamed Eramian, Georgiy Levchuk
Anomaly detection on bipartite graphs for cyber situational awareness and threat detection. IEEE BigData (2017)