Faraz Faghri - RankMe

15 papers A* 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases. CoRR Mathew J. Koretsky, Maya Willey, Adi Asija, Owen Bianchi, Chelsea X. Alvarado, Tanay Nayak, Nicole Kuznetsov, Sungwon Kim, Mike A. Nalls, Daniel Khashabi, Faraz Faghri
2025	J	`jnl`	Lost in the Haystack: Smaller Needles are More Difficult for LLMs to Find. CoRR Owen Bianchi, Mathew J. Koretsky, Maya Willey, Chelsea X. Alvarado, Tanay Nayak, Adi Asija, Nicole Kuznetsov, Mike A. Nalls, Faraz Faghri, Daniel Khashabi
2025	J	`jnl`	SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation. Patterns Brandon Theodorou, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun
2024	J	`jnl`	Federated learning for multi-omics: A performance evaluation in Parkinson's disease. Patterns Benjamin P. Danek, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew B. Singleton, Mike A. Nalls, Jimeng Sun, Faraz Faghri
2024	A*	`conf`	Instruction Tuning Large Language Models to Understand Electronic Health Records. NeurIPS Zhenbang Wu, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun
2024	A*	`conf`	Multimodal Patient Representation Learning with Missing Modalities and Labels. ICLR Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri
2023	J	`jnl`	Application of Aligned-UMAP to longitudinal biomedical studies. Patterns Anant Dadu, Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian B. Avants, Jacob Hesterman, Roger N. Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri
2022	J	`jnl`	PhenoExam: gene set analyses through integration of different phenotype databases. BMC Bioinform. Alejandro Cisterna, Aurora González-Vidal, Daniel Ruiz, Jordi Ortiz, Alicia Gómez-Pascual, Zhongbo Chen, Mike A. Nalls, Faraz Faghri, John Hardy, Irene Díez, Paolo Maietta, Sara Álvarez, Mina Ryten, Juan A. Botía
2021	J	`jnl`	GenoML: Automated Machine Learning for Genomics. CoRR Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, David Saffo, Lana Sargent, Anant Dadu, Eduardo Salmerón Castaño, John F. Carter, Melina Maleknia, Juan A. Botía, Cornelis Blauwendraat, Roy H. Campbell, Sayed Hadi Hashemi, Andrew B. Singleton, Mike A. Nalls, Faraz Faghri
2021	J	`jnl`	Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2. Patterns Faraz Faghri, Mike A. Nalls
2019	—	`—`	Learning a long healthy aging Faraz Faghri
2018	J	`jnl`	Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. CoRR Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell
2017	J	`jnl`	Decentralized User-Centric Access Control using PubSub over Blockchain. CoRR Sayed Hadi Hashemi, Faraz Faghri, Roy H. Campbell
2017	J	`jnl`	Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. CoRR Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell
2016	—	`conf`	World of Empowered IoT Users. IoTDI Sayed Hadi Hashemi, Faraz Faghri, Paul Rausch, Roy H. Campbell