Arya Farahi

According to our database, Arya Farahi authored at least 18 papers between 2016 and 2025.

Collaborative distances:

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

2025

I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers.

Ritwik Vashistha, Arya Farahi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Fire and smoke digital twin - A computational framework for modeling fire incident outcomes.

Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi

Comput. Environ. Urban Syst., 2024

How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds.

Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Paul Torrey, Arya Farahi, Alex M. Garcia, Jonah C. Rose, Stephanie O'Neil, Mark Vogelsberger, Xuejian Shen, Cian Roche, Daniel Anglés-Alcázar, Nitya Kallivayalil, Julian B. Muñoz, Francis-Yan Cyr-Racine, Sandip Roy, Lina Necib, Kassidy E. Kollmann

CoRR, 2024

U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making.

Ritwik Vashistha, Arya Farahi

CoRR, 2024

Insights from explainable AI in oesophageal cancer team decisions.

Navamayooran Thavanesan, Arya Farahi, Charlotte Parfitt, Zehor Belkhatir, Tayyaba Azim, Elvira Perez Vallejos, Zoë Walters, Sarvapali D. Ramchurn, Timothy J. Underwood, Ganesh Vigneswaran

Comput. Biol. Medicine, 2024

Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems.

Pepita Barnard, John Robert Bautista, Aidan Dakhama, Arya Farahi, Kazim Laos, Anqi Liu, Héctor D. Menéndez

Proceedings of the Testing Software and Systems, 2024

Predicting Acute Pain Levels Implicitly from Vocal Features.

Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra, Arya Farahi

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making.

Ritwik Vashistha, Arya Farahi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

C 2-GaMe: Classification of cluster galaxy membership with machine learning.

D. Farid, Han Aung, D. Nagai, Arya Farahi, E. Rozo

Astron. Comput., October, 2023

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients.

Eike Schneiders, Jennifer Williams, Arya Farahi, Tina Seabrooke, Ganesh Vigneswaran, John Robert Bautista, Liz Dowthwaite, Anna-Maria Piskopani

Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

2021

TATTER: A hypothesis testing tool for multi-dimensional data.

Arya Farahi, Yang Chen

Astron. Comput., 2021

2020

Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data.

Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra

CoRR, 2020

Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns.

Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2018

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan.

Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact.

Arya Farahi, Jonathan C. Stroud

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit.

Josh Gardner, Danai Koutra, Jawad Mroueh, Victor Pang, Arya Farahi, Sam Krassenstein, Jared Webb

CoRR, 2017

A Data Science Approach to Understanding Residential Water Contamination in Flint.

Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric M. Schwartz

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing.

Jacob D. Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Nguyen, Adam Rauh, Eric M. Schwartz, Wenbo Shen, Guangsha Shi, Jonathan C. Stroud, Xinyu Tan, Jared Webb, Sheng Yang

CoRR, 2016