Zarif L. Azher

According to our database, Zarif L. Azher authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship.

Zachary R. Baker, Zarif L. Azher

CoRR, 2024

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.

Michael Y. Fatemi, Yunrui Lu, Alos Diallo, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas, Gregory Tsongalis, Scott Palisoul, Laurent Perreard, Fred Kolling, Louis J. Vaickus, Joshua J. Levy

Briefings Bioinform., 2024

2023

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.

Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy

BioData Min., January, 2023

2022

Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.

Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022