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ORCIDMaha R. Farhat
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2020 – today
- 2024
[j4]Yasha Ektefaie, Andrew Shen, Daria Bykova, Maximillian G. Marin, Marinka Zitnik, Maha R. Farhat:
Evaluating generalizability of artificial intelligence models for molecular datasets. Nat. Mac. Intell. 6(12): 1512-1524 (2024)- 2023
- [j3]Yasha Ektefaie, George Dasoulas
, Ayush Noori, Maha R. Farhat, Marinka Zitnik:
Multimodal learning with graphs. Nat. Mac. Intell. 5(4): 340-350 (2023) - [i2]Tessa Han, Yasha Ektefaie, Maha R. Farhat, Marinka Zitnik, Himabindu Lakkaraju:
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts. CoRR abs/2312.05690 (2023) - 2022
- [j2]Maximillian G. Marin, Roger Vargas, Michael Harris, Brendan Jeffrey, L. Elaine Epperson, David Durbin, Michael Strong, Max Salfinger, Zamin Iqbal, Irada Akhundova, Sergo Vashakidze, Valeriu Crudu, Alex Rosenthal, Maha R. Farhat:
Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genome. Bioinform. 38(7): 1781-1787 (2022) - [i1]Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha R. Farhat, Marinka Zitnik:
Geometric multimodal representation learning. CoRR abs/2209.03299 (2022)
2000 – 2009
- 2009
- [j1]Caroline Colijn, Aaron Brandes, Jeremy Zucker, Desmond S. Lun, Brian Weiner, Maha R. Farhat, Tan-Yun Cheng, D. Branch Moody, Megan Murray, James E. Galagan:
Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production. PLoS Comput. Biol. 5(8) (2009)
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