A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes SS Mandroli, AK Shrivastava, Y Ding IIE Transactions 38 (4), 309-328, 2006 | 155 | 2006 |
A classification procedure for highly imbalanced class sizes E Byon, AK Shrivastava, Y Ding IIE Transactions 42 (4), 288-303, 2010 | 57 | 2010 |
Regularized Gaussian mixture model for high-dimensional clustering Y Zhao, AK Shrivastava, KL Tsui IEEE transactions on cybernetics 49 (10), 3677-3688, 2018 | 34 | 2018 |
Multimode Geometric-Profile Monitoring with Correlated Image Data and Its Application to Nanoparticle Self-Assembly Processes C Park, AK Shrivastava Journal of Quality Technology 46 (3), 216-233, 2014 | 23 | 2014 |
Decision fusion from heterogeneous sensors in surveillance sensor systems EI Gokce, AK Shrivastava, JJ Cho, Y Ding IEEE Transactions on Automation Science and Engineering 8 (1), 228-233, 2010 | 22 | 2010 |
Graph based isomorph-free generation of two-level regular fractional factorial designs AK Shrivastava, Y Ding Journal of Statistical Planning and Inference 140 (1), 169-179, 2010 | 14 | 2010 |
Imbalanced classification by learning hidden data structure Y Zhao, AK Shrivastava, KL Tsui IIE Transactions 48 (7), 614-628, 2016 | 11 | 2016 |
Fault Tolerance Analysis of Surveillance Sensor Systems EI Gokce, AK Shrivastava, Y Ding IEEE Transactions on Reliability 62 (2), 478 - 489, 2013 | 10 | 2013 |
Combating sub-clusters effect in imbalanced classification Y Zhao, AK Shrivastava 2013 IEEE 13th International Conference on Data Mining, 1295-1300, 2013 | 5 | 2013 |
A multivariate control chart for detecting a possible outbreak of disease PW Tse, J Hu, AK Shrivastava, KL Tsui Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM …, 2014 | 3 | 2014 |
A decomposition approach to imbalanced classification AK Shrivastava, J Cao Intelligence and Security Informatics (ISI), 2011 IEEE International …, 2011 | 3 | 2011 |
Method and system for building a machine learning model A Shrivastava, M Boryana, J Fiedler, R Cezeaux US Patent App. 16/782,144, 2021 | 2 | 2021 |
Efficient construction of split-plot design catalogs using graphs AK Shrivastava IIE Transactions 45 (11), 1137-1152, 2013 | 2 | 2013 |
Modeling, analysis and design of complex quality testing systems using a hierarchical simulation framework AK Shrivastava, Y Ding, J Coody, F Niu, D Ceglarek 2006 IEEE International Conference on Networking, Sensing and Control, 691-696, 2006 | 2 | 2006 |
Detecting category-specific bias using overfitted machine learning models T Niu, J Lujano, S Ruoyu, AK Shrivastava, C Cowden US Patent App. 17/539,828, 2023 | 1 | 2023 |
Resource allocation optimization for multi-dimensional machine learning environments X Chen, A Shrivastava, M Boryana, Y Li, GE Katelyn, J Redd, S Chitkara, ... US Patent App. 18/179,878, 2023 | | 2023 |
Determining performance change within a dataset with an applied condition using machine learning models T Niu, AK Shrivastava, S Ruoyu US Patent App. 17/557,599, 2023 | | 2023 |
Detecting category-specific bias using residual values T Niu, J Lujano, S Ruoyu, AK Shrivastava, C Cowden US Patent App. 17/539,917, 2023 | | 2023 |
Resource allocation optimization for multi-dimensional machine learning environments X Chen, A Shrivastava, M Boryana, Y Li, GE Katelyn, J Redd, S Chitkara, ... US Patent 11,620,162, 2023 | | 2023 |
Listing unique fractional factorial designs AK Shrivastava TEXAS A&M UNIVERSITY, 2010 | | 2010 |