| A framework and architecture for multi-robot coordination R Fierro, A Das, J Spletzer, J Esposito, V Kumar, JP Ostrowski, G Pappas, ... The International Journal of Robotics Research 21 (10-11), 977-995, 2002 | 196 | 2002 |
| Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage VA Convertino, SL Moulton, GZ Grudic, CA Rickards, C Hinojosa-Laborde, ... Journal of Trauma and Acute Care Surgery 71 (1), S25-S32, 2011 | 139 | 2011 |
| Estimation of individual-specific progression to impending cardiovascular instability using arterial waveforms VA Convertino, G Grudic, J Mulligan, S Moulton Journal of Applied Physiology 115 (8), 1196-1202, 2013 | 126 | 2013 |
| A formulation for minimax probability machine regression T Strohmann, G Grudic Advances in neural information processing systems 15, 2002 | 109 | 2002 |
| A framework and architecture for multirobot coordination R Alur, A Das, J Esposito, R Fierro, G Grudic, Y Hur, V Kumar, I Lee, ... Experimental Robotics VII, 303-312, 2001 | 103 | 2001 |
| Running on empty? The compensatory reserve index SL Moulton, J Mulligan, GZ Grudic, VA Convertino Journal of Trauma and Acute Care Surgery 75 (6), 1053-1059, 2013 | 102 | 2013 |
| 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 | 87 | 2009 |
| Clustering through ranking on manifolds M Breitenbach, GZ Grudic Proceedings of the 22nd international conference on Machine learning, 73-80, 2005 | 83 | 2005 |
| Individual-specific, beat-to-beat trending of significant human blood loss: the compensatory reserve VA Convertino, JT Howard, C Hinojosa-Laborde, S Cardin, P Batchelder, ... Shock 44, 27-32, 2015 | 74 | 2015 |
| Detection of low-volume blood loss: compensatory reserve versus traditional vital signs CL Stewart, J Mulligan, GZ Grudic, VA Convertino, SL Moulton Journal of Trauma and Acute Care Surgery 77 (6), 892-898, 2014 | 68 | 2014 |
| Outdoor Path Labeling Using Polynomial Mahalanobis Distance. GZ Grudic, J Mulligan Robotics: science and systems, 4, 2006 | 65 | 2006 |
| Iterative inverse kinematics with manipulator configuration control GZ Grudic, PD Lawrence IEEE Transactions on Robotics and Automation 9 (4), 476-483, 1993 | 64 | 1993 |
| Active Physical Perturbations to Enhance Intelligent Medical Monitoring GZ Grudic, SL Moulton US Patent App. 13/041,006, 2011 | 62 | 2011 |
| Regularized linear models in stacked generalization S Reid, G Grudic International Workshop on Multiple Classifier Systems, 112-121, 2009 | 55 | 2009 |
| Mixture of Watson distributions: A generative model for hyperspherical embeddings AS Bijral, M Breitenbach, G Grudic Artificial Intelligence and Statistics, 35-42, 2007 | 49 | 2007 |
| Human-to-robot skill transfer using the SPORE approximation GZ Grudic, PD Lawrence Proceedings of IEEE International Conference on Robotics and Automation 4 …, 1996 | 39 | 1996 |
| The compensatory reserve index following injury: results of a prospective clinical trial CL Stewart, J Mulligan, GZ Grudic, ME Talley, GJ Jurkovich, SL Moulton Shock 46 (3S), 61-67, 2016 | 38 | 2016 |
| Unsupervised outlier detection and semi-supervised learning A Vinueza, G Grudic Technical Report CU-CS-976-04, 2004 | 38 | 2004 |
| Comparison of compensatory reserve during lower-body negative pressure and hemorrhage in nonhuman primates C Hinojosa-Laborde, JT Howard, J Mulligan, GZ Grudic, VA Convertino American Journal of Physiology-Regulatory, Integrative and Comparative …, 2016 | 37 | 2016 |
| Statistical, noninvasive measurement of intracranial pressure GZ Grudic, SL Moulton, IJ Mulligan US Patent 8,512,260, 2013 | 37 | 2013 |
