| 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 | 88 | 2012 |
| General Purpose Data-Driven System Monitoring for Space Operations DL Iverson, R Martin, M Schwabacher, L Spirkovska, W Taylor, R Mackey, ... Proceedings of the AIAA Infotech@Aerospace Conference, 2009 | 88* | 2009 |
| Discovering anomalous aviation safety events using scalable data mining algorithms B Matthews, S Das, K Bhaduri, K Das, R Martin, N Oza Journal of Aerospace Information Systems 10 (10), 467-475, 2013 | 84 | 2013 |
| Aircraft anomaly detection using performance models trained on fleet data D Gorinevsky, B Matthews, R Martin 2012 Conference on intelligent data understanding, 17-23, 2012 | 49 | 2012 |
| 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 | 29 | 2007 |
| Responding to thermal sensation complaints in buildings RA Martin, CC Federspiel, DM Auslander ASHRAE transactions 108, 407, 2002 | 27 | 2002 |
| Sensor-based predictive modeling for smart lighting in grid-integrated buildings C Basu, JJ Caubel, K Kim, E Cheng, A Dhinakaran, AM Agogino, ... IEEE Sensors Journal 14 (12), 4216-4229, 2014 | 26 | 2014 |
| Gaussian-03, Revision E. 01. Wallingford: Gaussian MJ Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ... Inc, 2004 | 23 | 2004 |
| Thermal comfort models and “call-out”(complaint) frequencies CC Federspiel, RA Martin, H Yan University of California, Berkeley, Center for the Built Environment, Tech. Rep, 2003 | 19* | 2003 |
| Ares I-X Ground Diagnostic Prototype MA Schwabacher, RA Martin, RD Waterman, RL Oostdyk, JP Ossenfort, ... Proceedings of the 57th Joint Army-Navy-NASA-Air Force Propulsion Meeting, 2010 | 14 | 2010 |
| A state-space approach to optimal level-crossing prediction for linear Gaussian processes RA Martin IEEE transactions on information theory 56 (10), 5083-5096, 2010 | 12 | 2010 |
| Neural network forecasting of solar power for NASA Ames sustainability base C Poolla, A Ishihara, S Rosenberg, R Martin, A Fong, S Ray, C Basu 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid …, 2014 | 11 | 2014 |
| Unsupervised anomaly detection and diagnosis for liquid rocket engine propulsion RA Martin 2007 IEEE Aerospace Conference, 1-15, 2007 | 11 | 2007 |
| A particle filtering-based framework for real-time fault diagnosis of autonomous vehicles IA Raptis, C Sconyers, R Martin, R Mah, N Oza, D Mavris, ... Annual Conference of the PHM Society 5 (1), 2013 | 10 | 2013 |
| Recalibration of the complaint prediction model CC Federspiel, RA Martin, H Yan HVAC&R Research 10 (2), 179-200, 2004 | 10 | 2004 |
| Effects of class granularity and cofactors on the performance of unsupervised classification of wetlands using multi-spectral aerial photography R Martin, L Brabyn, C Beard Journal of Spatial Science 59 (2), 269-282, 2014 | 9 | 2014 |
| Supporting personizable virtual Internet of Things J Zhang, Z Li, O Sandoval, N Xin, Y Ren, RA Martin, B Iannucci, M Griss, ... 2013 IEEE 10th International Conference on Ubiquitous Intelligence and …, 2013 | 9 | 2013 |
| Optimal prediction, alarm, and control in buildings using thermal sensation complaints RA Martin University of California, Berkeley, 2004 | 9 | 2004 |
| Supervisory control for energy savings and thermal comfort in commercial building HVAC systems RA Martin, CC Federspiel, DM Auslander eScholarship, University of California, 2002 | 8 | 2002 |
| Scalable Causal Learning for Predicting Adverse Events in Smart Buildings A Basak, O Mengshoel, S Hosein, R Martin First International Workshop on Artificial Intelligence for Smart Grids and …, 2016 | 7 | 2016 |
Mark SchwabacherTechnical Program Manager, GoogleVerified email at schwabacher.com
