| Artificial intelligence in medicine J Holmes, L Sacchi, R Bellazzi Ann R Coll Surg Engl 86, 334-8, 2004 | 1190 | 2004 |
| Dynamic recurrent neural network for system identification and control A Delgado, C Kambhampati, K Warwick IEE Proceedings-Control Theory and Applications 142 (4), 307-314, 1995 | 185 | 1995 |
| A generic strategy for fault-tolerance in control systems distributed over a network RJ Patton, C Kambhampati, A Casavola, P Zhang, S Ding, D Sauter European journal of control 13 (2-3), 280-296, 2007 | 163 | 2007 |
| A stable one-step-ahead predictive control of non-linear systems C Kambhampati, JD Mason, K Warwick Automatica 36 (4), 485-495, 2000 | 83 | 2000 |
| Strategies for feedback linearisation: a dynamic neural network approach FR Garces, VM Becerra, C Kambhampati, K Warwick Springer Science & Business Media, 2012 | 77 | 2012 |
| Balancing class for performance of classification with a clinical dataset N Poolsawad, C Kambhampati, JGF Cleland proceedings of the World Congress on Engineering 1, 1-6, 2014 | 68 | 2014 |
| Inverse model control using recurrent networks C Kambhampati, RJ Craddock, M Tham, K Warwick Mathematics and computers in simulation 51 (3-4), 181-199, 2000 | 58 | 2000 |
| Fault-tolerance as a key requirement for the control of modern systems RJ Patton, C Kambhampati, A Casavola, G Franze IFAC Proceedings Volumes 39 (13), 13-22, 2006 | 57 | 2006 |
| Autonomous clustering using rough set theory C Bean, C Kambhampati International Journal of Automation and Computing 5, 90-102, 2008 | 46 | 2008 |
| Reconfiguration in networked control systems: Fault tolerant control and plug-and-play C Kambhampati, RJ Patton, FJ Uppal Fault Detection, Supervision and Safety of Technical Processes 2006, 126-131, 2007 | 40 | 2007 |
| A comparative study of missing value imputation with multiclass classification for clinical heart failure data Y Zhang, C Kambhampati, DN Davis, K Goode, JGF Cleland 2012 9th international conference on fuzzy systems and knowledge discovery …, 2012 | 37 | 2012 |
| The relative order and inverses of recurrent networks C Kambhampati, S Manchanda, A Delgado, GGR Green, K Warwick, ... Automatica 32 (1), 117-123, 1996 | 35 | 1996 |
| On-line planning for collision avoidance on the nominal path A Tsoularis, C Kambhampati Journal of Intelligent and Robotic Systems 21, 327-371, 1998 | 31 | 1998 |
| Approximation of non-autonomous dynamic systems by continuous time recurrent neural networks C Kambhampati, F Garces, K Warwick Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 30 | 2000 |
| Issues in the mining of heart failure datasets N Poolsawad, L Moore, C Kambhampati, JGF Cleland International Journal of Automation and Computing 11, 162-179, 2014 | 24 | 2014 |
| Stable receding horizon control based on recurrent networks C Kambhampati, A Delgado, JD Mason, K Warwick IEE Proceedings-Control Theory and Applications 144 (3), 249-254, 1997 | 23 | 1997 |
| Dynamic systems in neural networks K Warwick, C Kambhampati, P Parks, J Mason Neural network engineering in dynamic control systems, 27-41, 1995 | 23 | 1995 |
| An interaction predictive approach to fault-tolerant control in network control systems C Kambhampati, C Perkgoz, RJ Patton, W Ahamed Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2007 | 22 | 2007 |
| Approaches to the optimizing control problem JE Ellis, C Kambhampati, G Sheng, PD Roberts International journal of systems science 19 (10), 1969-1985, 1988 | 22 | 1988 |
| Handling missing values in data mining-A case study of heart failure dataset N Poolsawad, L Moore, C Kambhampati, JGF Cleland 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery …, 2012 | 21 | 2012 |
Kevin WarwickEmeritus Professor, Coventry University & University of ReadingVerified email at coventry.ac.uk
