Faraz Faghri

According to our database, Faraz Faghri authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Federated learning for multi-omics: A performance evaluation in Parkinson's disease.

Benjamin P. Danek, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew B. Singleton, Mike A. Nalls, Jimeng Sun, Faraz Faghri

Patterns, March, 2024

Multimodal Patient Representation Learning with Missing Modalities and Labels.

Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Application of Aligned-UMAP to longitudinal biomedical studies.

Anant Dadu, Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian B. Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri

Patterns, June, 2023

2022

PhenoExam: gene set analyses through integration of different phenotype databases.

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

BMC Bioinform., December, 2022

2021

Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2.

Faraz Faghri, Mike A. Nalls

Patterns, 2021

GenoML: Automated Machine Learning for Genomics.

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

CoRR, 2021

2019

Learning a long healthy aging

Faraz Faghri

PhD thesis, 2019

2018

Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data.

Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell

CoRR, 2018

2017

Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case.

Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell

CoRR, 2017

Decentralized User-Centric Access Control using PubSub over Blockchain.

Sayed Hadi Hashemi, Faraz Faghri, Roy H. Campbell

CoRR, 2017

2016

World of Empowered IoT Users.

Sayed Hadi Hashemi, Faraz Faghri, Paul Rausch, Roy H. Campbell

Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016