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 | 821 | 2017 |
Continuous conditional random fields for efficient regression in large fully connected graphs K Ristovski, V Radosavljevic, S Vucetic, Z Obradovic Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 840-846, 2013 | 83 | 2013 |
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 | 45 | 2018 |
Equipment health indicator learning using deep reinforcement learning C Zhang, C Gupta, A Farahat, K Ristovski, D Ghosh Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 42 | 2019 |
Building a Taxonomy of Litigation: Clusters of Causes of Action in Federal Complaints CL Boyd, DA Hoffman, Z Obradovic, K Ristovski Journal of Empirical Legal Studies 10 (2), 253-287, 2013 | 38 | 2013 |
Uncertainty analysis of neural-network-based aerosol retrieval K Ristovski, S Vucetic, Z Obradovic IEEE transactions on geoscience and remote sensing 50 (2), 409-414, 2011 | 38 | 2011 |
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, 2018 | 37 | 2018 |
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 | 21 | 2021 |
Online hierarchical ensemble of learners for activity time prediction in open pit mining K Ristovski, C Gupta US Patent App. 15/441,939, 2018 | 19 | 2018 |
Dispatch with confidence: Integration of machine learning, optimization and simulation for open pit mines K Ristovski, C Gupta, K Harada, HK Tang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 19 | 2017 |
Deep learning architecture for maintenance predictions with multiple modes K Ristovski, C Gupta, A Farahat, A Onur US Patent 11,099,551, 2021 | 18 | 2021 |
System for maintenance recommendation based on failure prediction AK Farahat, C Gupta, K Ristovski US Patent 10,901,832, 2021 | 14 | 2021 |
Deep learning network architecture optimization for uncertainty estimation in regression D Ghosh, K Ristovski, C Gupta, A Farahat US Patent App. 15/605,023, 2018 | 13 | 2018 |
Spatio-Temporal characterization of aerosols through active use of data from multiple sensors Z Obradovic, D Das, V Radosavljevic, K Ristovski, S Vucetic na, 2010 | 13 | 2010 |
Collaborative creation with customers for predictive maintenance solutions on hitachi iot platform C Gupta, A Farahat, T Hiruta, K Ristovsk, U Dayal Hitachi Review 65 (9), 403-409, 2016 | 12 | 2016 |
Which links should I use? A variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs A Uversky, D Ramljak, V Radosavljević, K Ristovski, Z Obradović Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013 | 11 | 2013 |
What maintenance is worth the money? a data-driven answer Q Wang, A Farahat, K Ristovski, HK Tang, S Serita, C Gupta 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 10 | 2018 |
Gaussian Conditional Random Fields for Modeling Patients Response to Acute Inflammation Treatment V Radosavljevic, K Ristovski, Z Obradovic ICML 2013 workshop on Machine Learning for System Identification, 2013 | 10 | 2013 |
Pleading patterns and the role of litigation as a driver of Federal Climate Change Legislation JF Colares, K Ristovski Jurimetrics, 329-373, 2014 | 9 | 2014 |
Distributed gaussian conditional random fields based regression for large evolving graphs J Slivka, M Nikolic, K Ristovski, V Radosavljevic, Z Obradovic Proc. 14th SIAM Int¢l Conf. Data Mining Workshop on Mining Networks and …, 2014 | 9 | 2014 |