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Austin Coursey
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2020 – today
- 2024
- [c8]Austin Coursey, Allan Zhang, Marcos Quiñones-Grueiro, Gautam Biswas:
Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions. ACC 2024: 1543-1549 - [c7]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas:
Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection. DX 2024: 16:1-16:18 - [c6]Abel Díaz-González, Austin Coursey, Marcos Quiñones-Grueiro, Chetan S. Kulkarni, Gautam Biswas:
Data-Driven RUL Prediction Using Performance Metrics (Short Paper). DX 2024: 21:1-21:15 - [i5]Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work:
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR abs/2406.15283 (2024) - 2023
- [c5]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability. CHI 2023: 749:1-749:17 - [c4]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas, Timothy Darrah:
Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. CoDIT 2023: 752-757 - [c3]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas:
On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. SMARTCOMP 2023: 164-171 - [c2]Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta:
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. SMARTCOMP 2023: 261-266 - [i4]Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta:
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. CoRR abs/2303.08955 (2023) - 2022
- [j1]Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta:
Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism. Inf. 13(7): 320 (2022) - [i3]Gopal Nath, Antoine Harfouche, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta:
Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. CoRR abs/2202.03577 (2022) - [i2]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. CoRR abs/2204.06425 (2022) - 2021
- [c1]Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. IEEE BigData 2021: 4832-4841 - [i1]Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. CoRR abs/2109.05351 (2021)
Coauthor Index
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