| Preimages for variation patterns from kernel PCA and bagging A Shinde, A Sahu, D Apley, G Runger Iie Transactions 46 (5), 429-456, 2014 | 43 | 2014 |
| Scenario analysis of technology products with an agent-based simulation and data mining framework A Shinde, M Haghnevis, MA Janssen, GC Runger, M Janakiram International Journal of Innovation and Technology Management 10 (05), 1340019, 2013 | 6 | 2013 |
| An agent based simulation and data mining framework for scenario analysis of technology products A Shinde, M Haghnevis 2011, Retrievedfrom Open ABM.. http://www. openabm. org/model/2290/version/1, 2010 | 5 | 2010 |
| Feature extraction and classification models for high‐dimensional profile data A Shinde, G Church, M Janakiram, G Runger Quality and Reliability Engineering International 27 (7), 885-893, 2011 | 3 | 2011 |
| An integrated optimization and agent-based framework for the US power system M Haghnevis, A Shinde, RG Askin Procedia Computer Science 6, 451-456, 2011 | 3 | 2011 |
| Modeling Frameworks for Supply Chain Analytics A Shinde Arizona State University, 2012 | | 2012 |
| HPreimages for Visualization of Variation Patterns from Kernel Metnods A Shinde Arizona State University, 2009 | | 2009 |
| Signal denoising using Kernel PCA A Shinde, G Runger | | |
Moeed HaghnevisPh.D. in Industrial Engineering and Operations Research, Arizona State UniversityVerified email at asu.edu
