Michael J. Procopio
Michael J. Procopio
Senior Staff Software Engineer, Google, Inc.
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Learning terrain segmentation with classifier ensembles for autonomous robot navigation in unstructured environments
MJ Procopio, J Mulligan, G Grudic
Journal of Field Robotics 26 (2), 145-175, 2009
682009
Estimation of arrival times from seismic waves: a manifold-based approach
KM Taylor, MJ Procopio, CJ Young, FG Meyer
Geophysical Journal International 185 (1), 435-452, 2011
252011
PGR: A practical approach
KM Taylor, MJ Procopio, CJ Young, FG Meyer
In The practical approach series, 1991
251991
Long-term learning using multiple models for outdoor autonomous robot navigation
MJ Procopio, J Mulligan, G Grudic
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
212007
Benefits of synchronous collaboration support for an application-centered analysis team working on complex problems: a case study
JM Linebarger, AJ Scholand, MA Ehlen, MJ Procopio
Proceedings of the 2005 international ACM SIGGROUP conference on Supporting …, 2005
172005
Generalized BadRank with graduated trust
TG Kolda, MJ Procopio
Albuqerque, NM and Livermore Report: SAND2009–6670, 2009
152009
Learning in dynamic environments with ensemble selection for autonomous outdoor robot navigation
MJ Procopio, J Mulligan, G Grudic
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
142008
Using binary classifiers to augment stereo vision for enhanced autonomous robot navigation
MJ Procopio, T Strohmann, AR Bates, G Grudic, J Mulligan
University of Colorado at Boulder, Boulder, CO, Tech. Rep. CU-CS-1027-07, 2007
122007
An experimental analysis of classifier ensembles for learning drifting concepts over time in autonomous outdoor robot navigation
MJ Procopio
University of Colorado at Boulder, 2007
122007
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
MJ Procopio, J Mulligan, G Grudic
2010 IEEE International Conference on Robotics and Automation, 518-525, 2010
92010
Terrain segmentation with on-line mixtures of experts for autonomous robot navigation
MJ Procopio, WP Kegelmeyer, G Grudic, J Mulligan
International Workshop on Multiple Classifier Systems, 385-397, 2009
82009
False event screening using data mining in historical archives
TJ Draelos, MJ Procopio, JE Lewis, CJ Young
Seismological Research Letters 83 (2), 267-274, 2012
42012
USING MACHINE LEARNING TO IMPROVE THE EFFICIENCY AND EFFECTIVENESS OF AUTOMATIC NUCLEAR EXPLOSION MONITORING SYSTEMS.
M Procopio, CJ Young, JE Lewis
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2009
32009
Processing Aftershock Sequences Using Waveform Correlation
ME Resor, MJ Procopio, CJ Young, DB Carr
AGUFM 2008, S13B-1802, 2008
12008
YCab. NET: Decentralized Collaboration Groupware for Mobile Devices Using the Microsoft. NET Framework
MJ Procopio
University of Florida, 2002
12002
Exploring the Manifold of Seismic Waves: Application to the Estimation of Arrival-Times
KM Taylor, MJ Procopio, CJ Young, FG Meyer
arXiv preprint arXiv:1007.3553, 2010
2010
Station Set Residual: Event Classification Using Historical Distribution of Observing Stations
M Procopio, J Lewis, C Young
EGUGA, 5538, 2010
2010
Station set residual: event classification using historical distribution of observing stations.
TJ Draelos, MJ Procopio, JE Lewis, CJ Young
Sandia National Laboratories, 2010
2010
Mixtures of Local Experts for Supervised Classification on Heterogeneous Data.
MJ Procopio, WP Kegelmeyer
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2010
2010
SAPLE: Sandia Advanced Personnel Locator Engine
MJ Procopio
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2009
2009
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Articles 1–20