Hamed Eramian

According to our database, Hamed Eramian authored at least 6 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2022

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, D. Benjamin Gordon, Yuval Dorfan, Jedediah Singer, Matthew Vaughn, Niall Gaffney, John Fonner, Joe Stubbs, Christopher A. Voigt, Enoch Yeung

Bioinform., 2022

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

Extracting Global Dynamics of Loss Landscape in Deep Learning Models.

Mohammed Eslami, Hamed Eramian, Marcio Gameiro, William D. Kalies, Konstantin Mischaikow

CoRR, 2021

2019

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, Gilberto Bini, Hamed Eramian, Marcio Gameiro, Steven B. Haase, Hugh Haddox

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2017

Anomaly detection on bipartite graphs for cyber situational awareness and threat detection.

Mohammed Eslami, George Zheng, Hamed Eramian, Georgiy Levchuk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Deriving cyber use cases from graph projections of cyber data represented as bipartite graphs.

Mohammed Eslami, George Zheng, Hamed Eramian, Georgiy Levchuk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017