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ORCIDHamed Eramian
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2020 – today
- 2022
[j2]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): 404-409 (2022)- 2021
- [j1]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): 1593-1602 (2021) - [i1]Mohammed Eslami, Hamed Eramian, Marcio Gameiro, William D. Kalies, Konstantin Mischaikow:
Extracting Global Dynamics of Loss Landscape in Deep Learning Models. CoRR abs/2106.07683 (2021)
2010 – 2019
- 2019
- [c3]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:
Hyperparameter Optimization of Topological Features for Machine Learning Applications. ICMLA 2019: 1107-1114 - 2017
- [c2]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: 4658-4663 - [c1]Mohammed Eslami, George Zheng, Hamed Eramian, Georgiy Levchuk:
Anomaly detection on bipartite graphs for cyber situational awareness and threat detection. IEEE BigData 2017: 4741-4743
Coauthor Index
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