| Aspirations and practice of ml model documentation: Moving the needle with nudging and traceability A Bhat, A Coursey, G Hu, S Li, N Nahar, S Zhou, C Kästner, JLC Guo Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 15 | 2023 |
| Remaining useful life estimation of hard disk drives using bidirectional lstm networks A Coursey, G Nath, S Prabhu, S Sengupta 2021 IEEE International Conference on Big Data (Big Data), 4832-4841, 2021 | 12 | 2021 |
| Incorporating a machine learning model into a Web-based administrative decision support tool for predicting workplace absenteeism G Nath, Y Wang, A Coursey, KK Saha, S Prabhu, S Sengupta Information 13 (7), 320, 2022 | 7* | 2022 |
| An interactive web-based tool for predicting and exploring brain cancer survivability G Nath, A Coursey, Y Li, S Prabhu, H Garg, SC Halder, S Sengupta Healthcare Analytics 3, 100132, 2023 | 4 | 2023 |
| Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters R Mohapatra, A Coursey, S Sengupta 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 261-266, 2023 | 2 | 2023 |
| Data-driven models for remaining useful life estimation of aircraft engines and hard disk drives A Coursey | 2 | 2022 |
| Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders A Coursey, M Quinones-Grueiro, G Biswas, T Darrah 2023 9th International Conference on Control, Decision and Information …, 2023 | 1 | 2023 |
| Determining the temporal factors of survival associated with brain and nervous system cancer patients: A hybrid machine learning methodology G Nath, A Coursey, J Ekong, E Rastegari, S Sengupta, AZ Dag, D Delen International Journal of Healthcare Management, 1-15, 2023 | 1 | 2023 |
| FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection A Coursey, J Ji, M Quinones-Grueiro, W Barbour, Y Zhang, T Derr, ... arXiv preprint arXiv:2406.15283, 2024 | | 2024 |
| On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data A Coursey, M Quinones-Grueiro, G Biswas 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 164-171, 2023 | | 2023 |
| Enhancing Prognostics with Self-Supervised Imputation A Coursey, A Diaz-Gonzalez, M Quinones-Grueiro, G Biswas 34th International Workshop on Principles of Diagnosis (DX'23), 2023 | | 2023 |
| Time-Series Few Shot Anomaly Detection for HVAC Systems Y Huang, A Coursey, M Quinones-Grueiro, G Biswas | | |
| Comparison of Transfer Learning Techniques for Building Energy Forecasting SD Sharma, A Coursey, M Quinones-Grueiro, G Biswas | | |
| A Flexible Data-Driven Prognostics Model Using System Performance Metrics A Diaz-Gonzalez, A Coursey, M Quinones-Grueiro, G Biswas | | |
