| Mining distance-based outliers in near linear time with randomization and a simple pruning rule SD Bay, M Schwabacher Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 988 | 2003 |
| Metrics for evaluating performance of prognostic techniques A Saxena, J Celaya, E Balaban, K Goebel, B Saha, S Saha, ... 2008 international conference on prognostics and health management, 1-17, 2008 | 681 | 2008 |
| A Survey of Artificial Intelligence for Prognostics. M Schwabacher, K Goebel AAAI fall symposium: artificial intelligence for prognostics, 108-115, 2007 | 397 | 2007 |
| A survey of data-driven prognostics M Schwabacher Infotech@ Aerospace, 7002, 2005 | 378 | 2005 |
| General purpose data-driven monitoring for space operations DL Iverson, R Martin, M Schwabacher, L Spirkovska, W Taylor, R Mackey, ... Journal of Aerospace Computing, Information, and Communication 9 (2), 26-44, 2012 | 105 | 2012 |
| Unsupervised anomaly detection for liquid-fueled rocket propulsion health monitoring M Schwabacher, N Oza, B Matthews Journal of aerospace computing, information, and communication 6 (7), 464-482, 2009 | 93 | 2009 |
| High-performance supersonic missile inlet design using automated optimization GC Zha, D Smith, M Schwabacher, K Rasheed, A Gelsey, D Knight, ... Journal of Aircraft 34 (6), 697-705, 1997 | 91 | 1997 |
| Using modeling knowledge to guide design space search A Gelsey, M Schwabacher, D Smith Artificial Intelligence 101 (1-2), 35-62, 1998 | 83 | 1998 |
| NASA integrated vehicle health management technology experiment for X-37 M Schwabacher, J Samuels, L Brownston Component and Systems Diagnostics, Prognostics, and Health Management II …, 2002 | 68 | 2002 |
| Learning to set up numerical optimizations of engineering designs M Schwabacher, T Ellman, H Hirsh AI EDAM 12 (2), 173-192, 1998 | 50 | 1998 |
| Machine learning for rocket propulsion health monitoring M Schwabacher SAE transactions, 1192-1197, 2005 | 49 | 2005 |
| Automated design optimization for the P2 and P8 hypersonic inlets V Shukla, A Gelsey, M Schwabacher, D Smith, DD Knight Journal of Aircraft 34 (2), 1997 | 36 | 1997 |
| Intelligent model selection for hillclimbing search in computer-aided design T Ellman, J Keane, M Schwabacher, ... Department of Computer Science, Rutgers University, 1992 | 32 | 1992 |
| Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle RA Martin, M Schwabacher, N Oza, A Srivastava Main Engine Data,” Proceedings of the Joint Army Navy NASA Air Force …, 2007 | 31* | 2007 |
| A search space toolkit: SST A Gelsey, D Smith, M Schwabacher, K Rasheed, K Miyake Decision Support Systems 18 (3-4), 341-356, 1996 | 28 | 1996 |
| Pre-launch diagnostics for launch vehicles M Schwabacher, R Waterman 2008 IEEE Aerospace Conference, 1-8, 2008 | 25 | 2008 |
| The rutgers cap project design associate T Ellman, J Keane, M Schwabacher Rutgers University, 1992 | 25 | 1992 |
| Automated redesign of the NASA P8 hypersonic inlet using numerical optimization V Shukla, A Gelsey, M Schwabacher, D Smith, DD Knight 32nd Joint Propulsion Conference, 1996 | 24 | 1996 |
| Discovering communicable scientific knowledge from spatio-temporal data M Schwabacher, P Langley, P Norvig International Conference on Machine Learning, 2001 | 23 | 2001 |
| A Transformation System for Interactive Reformulation of Design Optimization Strategies T Ellman, J Keane, T Murata, M Schwabacher Proceedings of the Tenth Knowledge-Based Software Engineering Conference, 1995 | 23 | 1995 |
Kai GoebelFragum GlobalVerified email at fragumglobal.com
