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Arya Farahi
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2020 – today
- 2024
- [j4]Navamayooran Thavanesan
, Arya Farahi
Insights from explainable AI in oesophageal cancer team decisions. Comput. Biol. Medicine 180: 108978 (2024) - [j3]Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and smoke digital twin - A computational framework for modeling fire incident outcomes. Comput. Environ. Urban Syst. 110: 102093 (2024) - [c6]Ritwik Vashistha
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making. AAAI 2024: 19956-19964 - [i8]Ritwik Vashistha, Arya Farahi
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making. CoRR abs/2401.02062 (2024) - [i7]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:
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds. CoRR abs/2409.02980 (2024) - 2023
- [j2]D. Farid, Han Aung
C 2-GaMe: Classification of cluster galaxy membership with machine learning. Astron. Comput. 45: 100743 (2023) - [c5]Eike Schneiders
TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. TAS 2023: 27:1-27:4 - [i6]Junfeng Jiao, Ryan Hardesty Lewis, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and Smoke Digital Twin - A computational framework for modeling fire incident outcomes. CoRR abs/2305.18313 (2023) - 2021
- [j1]Arya Farahi
TATTER: A hypothesis testing tool for multi-dimensional data. Astron. Comput. 34: 100445 (2021) - 2020
- [c4]Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns. DSAA 2020: 380-389 - [i5]Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra:
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data. CoRR abs/2002.10010 (2020)
2010 – 2019
- 2018
- [c3]Arya Farahi
The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact. DSW 2018: 120-124 - [c2]Jacob D. Abernethy, Alex Chojnacki, Arya Farahi
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. KDD 2018: 5-14 - [i4]Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb:
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. CoRR abs/1806.10692 (2018) - 2017
- [c1]Alex Chojnacki, Chengyu Dai, Arya Farahi
A Data Science Approach to Understanding Residential Water Contamination in Flint. KDD 2017: 1407-1416 - [i3]Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric M. Schwartz:
A Data Science Approach to Understanding Residential Water Contamination in Flint. CoRR abs/1707.01591 (2017) - [i2]Josh Gardner, Danai Koutra, Jawad Mroueh, Victor Pang, Arya Farahi, Sam Krassenstein, Jared Webb:
Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit. CoRR abs/1710.06839 (2017) - 2016
- [i1]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:
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing. CoRR abs/1610.00580 (2016)
Coauthor Index
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