Rodney Martin
Cited by
Cited by
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
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
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
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
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
Responding to thermal sensation complaints in buildings
RA Martin, CC Federspiel, DM Auslander
ASHRAE transactions 108, 407, 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
Gaussian-03, Revision E. 01. Wallingford: Gaussian
MJ Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ...
Inc, 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
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
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
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
Unsupervised anomaly detection and diagnosis for liquid rocket engine propulsion
RA Martin
2007 IEEE Aerospace Conference, 1-15, 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
Recalibration of the complaint prediction model
CC Federspiel, RA Martin, H Yan
HVAC&R Research 10 (2), 179-200, 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
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
Optimal prediction, alarm, and control in buildings using thermal sensation complaints
RA Martin
University of California, Berkeley, 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
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
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