| Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective KS Aggour, VK Gupta, D Ruscitto, L Ajdelsztajn, X Bian, KH Brosnan, ... MRS Bulletin 44 (7), 545-558, 2019 | 76 | 2019 |
| An intelligent approach to coordinated control of multiple unmanned aerial vehicles G Vachtsevanos, L Tang, J Reimann Proceedings of the American helicopter society 60th annual forum, Baltimore, MD, 2004 | 63 | 2004 |
| Design of intentional backdoors in sequential models Z Yang, N Iyer, J Reimann, N Virani arXiv preprint arXiv:1902.09972, 2019 | 40 | 2019 |
| Using condition based maintenance to improve the profitability of performance based logistic contracts J Reimann, G Kacprzynski, D Cabral, R Marini Annual Conference of the PHM Society 1 (1), 2009 | 28 | 2009 |
| Hierarchical decomposition approach for pursuit-evasion differential game with multiple players J Ge, L Tang, J Reimann, G Vachtsevanos 2006 IEEE Aerospace Conference, 7 pp., 2006 | 19 | 2006 |
| Suboptimal approaches to multiplayer pursuit-evasion differential games J Ge, L Tang, J Reimann, G Vachtsevanos AIAA Guidance, Navigation, and Control Conference and Exhibit, 6786, 2006 | 16 | 2006 |
| Deep learning for imputation of industrial multivariate time-series JM Reimann US Patent App. 15/195,347, 2017 | 15 | 2017 |
| Modeling and Control of Unmanned Aerial Vehicles: Current Status and Future Directions G Vachtsevanos, P Antsaklis, KP Valavanis Modeling and Control of Complex Systems, 293-312, 2007 | 14 | 2007 |
| UAVs in urban operations: target interception and containment J Reimann, G Vachtsevanos Journal of Intelligent and Robotic Systems 47, 383-396, 2006 | 14 | 2006 |
| Prognostics in the Control Loop. L Tang, GJ Kacprzynski, K Goebel, J Reimann, ME Orchard, A Saxena, ... AAAI Fall Symposium: Artificial Intelligence for Prognostics, 129-136, 2007 | 11 | 2007 |
| Intelligent control of unmanned aerial vehicles for improved autonomy P Jones, B Ludington, J Reimann, G Vachtsevanos European journal of control 13 (2-3), 320-333, 2007 | 11 | 2007 |
| Application of symbolic regression to electrochemical impedance spectroscopy data for lubricating oil health evaluation C Byington, N Mackos, G Argenna, A Palladino, J Reimann, J Schmitigal Annual Conference of the PHM Society 4 (1), 2012 | 10 | 2012 |
| Modeling and control of unmanned aerial vehicles G Vachtsevanos, B Ludington, J Reimann, P Antsaklis, K Valavanis may, 2014 | 8 | 2014 |
| Target tracking with unmanned aerial vehicles: From single to swarm vehicle autonomy and intelligence B Ludington, J Reimann, G Vachtsevanos, I Barlas 2006 14th Mediterranean Conference on Control and Automation, 1-6, 2006 | 8 | 2006 |
| Method and system to automate the maintenance of data-driven analytic models PP Bonissone, NS Iyer, F Xue, JM Reimann, P Ardis US Patent 9,904,540, 2018 | 7 | 2018 |
| Target tracking and adversarial reasoning for unmanned aerial vehicles B Ludington, J Reimann, G Vachtsevanos 2007 IEEE Aerospace Conference, 1-17, 2007 | 6 | 2007 |
| Using multiplayer differential game theory to derive efficient pursuit-evasion strategies for unmanned aerial vehicles JM Reimann Georgia Institute of Technology, 2007 | 6 | 2007 |
| Artificial intelligence enabled material behavior prediction T Hanlon, J Reimann, MA Soare, A Singhal, J Grande, M Edgar, ... arXiv preprint arXiv:1906.05270, 2019 | 5 | 2019 |
| Automated prognostics systems and methods R Patrick, S Vittal, JM Reimann US Patent 9,791,352, 2017 | 5 | 2017 |
| System and method using generative model to supplement incomplete industrial plant information JM Reimann, CD Johnson, D Wu, SC Evans, RE Kleinhample, ... US Patent App. 14/322,488, 2016 | 5 | 2016 |
Naresh IyerGE ResearchVerified email at ge.com
