| Many-layered learning PE Utgoff, DJ Stracuzzi Neural computation 14 (10), 2497-2529, 2002 | 223 | 2002 |
| Randomized variable elimination DJ Stracuzzi, PE Utgoff The Journal of Machine Learning Research 5, 1331-1362, 2004 | 87 | 2004 |
| An application of transfer to american football: From observation of raw video to control in a simulated environment DJ Stracuzzi, A Fern, K Ali, R Hess, J Pinto, N Li, T Konik, DG Shapiro AI Magazine 32 (2), 107-125, 2011 | 37 | 2011 |
| Relational temporal difference learning N Asgharbeygi, D Stracuzzi, P Langley Proceedings of the 23rd international Conference on Machine learning, 49-56, 2006 | 34 | 2006 |
| Representing and reasoning over time in a symbolic cognitive architecture DJ Stracuzzi, N Li, G Cleveland, P Langley Proceedings of the 31st Annual Meeting of the Cognitive Science Society …, 2009 | 24 | 2009 |
| Constructing game agents from video of human behavior N Li, D Stracuzzi, G Cleveland, T Konik, D Shapiro, M Molineaux, D Aha, ... Proceedings of the AAAI Conference on Artificial Intelligence and …, 2009 | 17 | 2009 |
| Randomized feature selection DJ Stracuzzi Computational methods of feature selection, 57-78, 2007 | 16 | 2007 |
| Quantifying Uncertainty to Improve Decision Making in Machine Learning. DJ Stracuzzi, MC Darling, MG Peterson, MG Chen Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 13 | 2018 |
| Toward uncertainty quantification for supervised classification MC Darling, DJ Stracuzzi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 12 | 2018 |
| Learning hierarchical skills from problem solutions using means-ends analysis P Langley, N Li, N Nejati, DJ Stracuzzi Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009 | 12 | 2009 |
| Improving acquisition of teleoreactive logic programs through representation extension N Li, DJ Stracuzzi, P Langley Advances in Cognitive Systems 1, 109-126, 2012 | 11 | 2012 |
| Data-driven uncertainty quantification for multisensor analytics DJ Stracuzzi, MC Darling, MG Chen, MG Peterson Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | 10 | 2018 |
| Uncertainty quantification for machine learning DJ Stracuzzi, MG Chen, MC Darling, MG Peterson, C Vollmer Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 9 | 2017 |
| Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs DJ Stracuzzi, RC Brost, CA Phillips, DG Robinson, AG Wilson, ... Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (5-6 …, 2015 | 9 | 2015 |
| Determining the optimal time on X-ray analysis for transportation security officers A Speed, A Silva, D Trumbo, D Stracuzzi, C Warrender, M Trumbo, K Divis Foundations of Augmented Cognition: 9th International Conference, AC 2015 …, 2015 | 9 | 2015 |
| Scalable knowledge acquisition through memory organization DJ Stracuzzi Helsinki University of Technology, 57-64, 2005 | 8 | 2005 |
| Approximation via value unification PE Utgoff, DJ Stracuzzi ICML, 425-432, 1999 | 8 | 1999 |
| Memory organization and knowledge transfer D Stracuzzi ICML Workshop on Structural Knowledge Transfer for Machine Learning, 2006 | 6 | 2006 |
| Arctic Tipping Points Triggering Global Change (LDRD Final Report) KJ Peterson, AJ Powell, IK Tezaur, EL Roesler, J Nichol, MG Peterson, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020 | 5 | 2020 |
| Exploratory analysis of visual search data DJ Stracuzzi, A Speed, A Silva, M Haass, D Trumbo Foundations of Augmented Cognition: 9th International Conference, AC 2015 …, 2015 | 5 | 2015 |
