| Long short-term memory network for remaining useful life estimation S Zheng, K Ristovski, A Farahat, C Gupta 2017 IEEE International Conference on Prognostics and Health Management …, 2017 | 1137 | 2017 |
| An efficient greedy method for unsupervised feature selection AK Farahat, A Ghodsi, MS Kamel Data Mining (ICDM), 2011 IEEE 11th International Conference on, 161-170, 2011 | 120 | 2011 |
| Efficient greedy feature selection for unsupervised learning AK Farahat, A Ghodsi, MS Kamel Knowledge and Information Systems 35 (2), 285-310, 2013 | 115 | 2013 |
| Remaining Useful Life Estimation Using Functional Data Analysis Q Wang, S Zheng, A Farahat, S Serita, C Gupta 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019 | 85 | 2019 |
| Supervised Dictionary Learning and Sparse Representation-A Review MJ Gangeh, AK Farahat, A Ghodsi, MS Kamel arXiv preprint arXiv:1502.05928, 2015 | 85 | 2015 |
| Repair management and execution AK Farahat, C Gupta, M Vieira, S Serita US Patent App. 16/332,101, 2020 | 75 | 2020 |
| Greedy column subset selection for large-scale data sets AK Farahat, A Elgohary, A Ghodsi, MS Kamel Knowledge and Information Systems, 2015 | 74 | 2015 |
| Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling K Aggarwal, O Atan, AK Farahat, C Zhang, K Ristovski, C Gupta 2018 IEEE International Conference on Big Data (Big Data), 1308-1317, 2018 | 60 | 2018 |
| Equipment Health Indicator Learning using Deep Reinforcement Learning C Zhang, C Gupta, A Farahat, K Ristovski, D Ghosh Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 51 | 2018 |
| Distributed column subset selection on MapReduce AK Farahat, A Elgohary, A Ghodsi, MS Kamel Data Mining (ICDM), 2013 IEEE 13th International Conference on, 2013 | 48 | 2013 |
| A Framework for Unifying Model-based and Data-driven Fault Diagnosis H Khorasgani, A Farahat, K Ristovski, C Gupta, G Biswas Proceedings of the Annual Conference of the PHM Society 10 (1), 2018 | 47 | 2018 |
| A novel greedy algorithm for Nyström approximation AK Farahat, A Ghodsi, MS Kamel The Fourteenth International Conference on Artificial Intelligence and …, 2011 | 47 | 2011 |
| Statistical semantics for enhancing document clustering AK Farahat, MS Kamel Knowledge and Information Systems 28 (2), 365-393, 2011 | 47 | 2011 |
| System for maintenance recommendation based on maintenance effectiveness estimation AK Farahat, C Gupta, HK Tang US Patent 10,109,122, 2018 | 46 | 2018 |
| Short-Text Clustering using Statistical Semantics S Seifzadeh, AK Farahat, MS Kamel, F Karray International World Wide Web Conference Workshops, 2015 | 42 | 2015 |
| Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks H Khorasgani, A Hasanzadeh, A Farahat, C. Gupta 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019 | 40 | 2019 |
| Detecting anomalous process behavior SM El-rafei, AK Farahat, HM Hassan, TA Mahfouz US Patent 8,719,190, 2014 | 40 | 2014 |
| Automatic health indicator learning using reinforcement learning for predictive maintenance C Zhang, C Gupta, AK Farahat, K Ristovski, D Ghosh US Patent 11,042,145, 2021 | 38 | 2021 |
| Deep Time Series Models for Scarce Data Q Wang, A Farahat, C Gupta, S Zheng Neurocomputing, 2021 | 37 | 2021 |
| Deep learning for Industrial AI: Challenges, new methods and best practices C Gupta, A Farahat Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 30 | 2020 |
Chetan K GuptaHitachiVerified email at hal.hitachi.com
