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 | 92 | 2009 |
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 | 32 | 2011 |
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 | 25 | 2007 |
Generalized badrank with graduated trust TG Kolda, MJ Procopio Sandia National Laboratories, California, 2009 | 21 | 2009 |
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 ACM International Conference on Supporting Group …, 2005 | 18 | 2005 |
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 | 15 | 2008 |
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 | 14 | 2010 |
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 | 13 | 2007 |
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 | 13 | 2007 |
Terrain segmentation with on-line mixtures of experts for autonomous robot navigation MJ Procopio, WP Kegelmeyer, G Grudic, J Mulligan Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik …, 2009 | 9 | 2009 |
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 | 6 | 2012 |
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 | 5 | 2009 |
Processing Aftershock Sequences Using Waveform Correlation ME Resor, MJ Procopio, CJ Young, DB Carr AGU Fall Meeting Abstracts 2008, S13B-1802, 2008 | 1 | 2008 |
YCab. NET: Decentralized Collaboration Groupware for Mobile Devices Using the Microsoft. NET Framework MJ Procopio University of Florida, 2002 | 1 | 2002 |
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 EGU General Assembly Conference Abstracts, 5538, 2010 | | 2010 |
SAPLE: Sandia Advanced Personnel Locator Engine. MJ Procopio Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2010 | | 2010 |
Station set residual: event classification using historical distribution of observing stations. TJ Draelos, MJ Procopio, JE Lewis, CJ Young Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2010 | | 2010 |
Mixtures of Local Experts for Supervised Classification on Heterogeneous Data. MJ Procopio Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2010 | | 2010 |
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation. G Grudic, J Mulligan, MJ Procopio Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2009 | | 2009 |