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Ahmed K. Farahat
Ahmed K. Farahat
Principal Research Scientist, Hitachi America, Ltd. R&D
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
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
8742017
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
1142011
Efficient greedy feature selection for unsupervised learning
AK Farahat, A Ghodsi, MS Kamel
Knowledge and Information Systems 35 (2), 285-310, 2013
1102013
Supervised Dictionary Learning and Sparse Representation-A Review
MJ Gangeh, AK Farahat, A Ghodsi, MS Kamel
arXiv preprint arXiv:1502.05928, 2015
742015
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
732019
Greedy column subset selection for large-scale data sets
AK Farahat, A Elgohary, A Ghodsi, MS Kamel
Knowledge and Information Systems, 2015
712015
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
482018
Distributed column subset selection on MapReduce
AK Farahat, A Elgohary, A Ghodsi, MS Kamel
Data Mining (ICDM), 2013 IEEE 13th International Conference on, 2013
482013
A novel greedy algorithm for Nyström approximation
AK Farahat, A Ghodsi, MS Kamel
The Fourteenth International Conference on Artificial Intelligence and …, 2011
452011
Statistical semantics for enhancing document clustering
AK Farahat, MS Kamel
Knowledge and Information Systems 28 (2), 365-393, 2011
452011
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
442018
REPAIR MANAGEMENT AND EXECUTION
AK Farahat, C Gupta, M Vieira, S Serita
US Patent App. 16/332,101, 2020
432020
Short-Text Clustering using Statistical Semantics
S Seifzadeh, AK Farahat, MS Kamel, F Karray
International World Wide Web Conference Workshops, 2015
422015
Detecting anomalous process behavior
SM El-rafei, AK Farahat, HM Hassan, TA Mahfouz
US Patent 8,719,190, 2014
402014
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
392018
System for maintenance recommendation based on maintenance effectiveness estimation
AK Farahat, C Gupta, HK Tang
US Patent 10,109,122, 2018
352018
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
272019
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
242021
Deep Time Series Models for Scarce Data
Q Wang, A Farahat, C Gupta, S Zheng
Neurocomputing, 2021
242021
Embed and conquer: Scalable embeddings for kernel k-means on MapReduce
A Elgohary, AK Farahat, MS Kamel, F Karray
The SIAM International Conference on Data Mining (SDM'14), 2014
242014
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