| Transfer learning for activity recognition: A survey D Cook, KD Feuz, NC Krishnan Knowledge and information systems 36, 537-556, 2013 | 556 | 2013 |
| Transfer learning across feature-rich heterogeneous feature spaces via feature-space remapping (FSR) KD Feuz, DJ Cook ACM transactions on intelligent systems and technology (TIST) 6 (1), 1-27, 2015 | 112 | 2015 |
| Automated detection of activity transitions for prompting KD Feuz, DJ Cook, C Rosasco, K Robertson, M Schmitter-Edgecombe IEEE transactions on human-machine systems 45 (5), 575-585, 2014 | 96 | 2014 |
| Collegial activity learning between heterogeneous sensors KD Feuz, DJ Cook Knowledge and information systems 53, 337-364, 2017 | 44 | 2017 |
| Heterogeneous transfer learning for activity recognition using heuristic search techniques K Dillon Feuz, D J. Cook International journal of pervasive computing and communications 10 (4), 393-418, 2014 | 36 | 2014 |
| Applying machine learning to improve curriculum design R Ball, L Duhadway, K Feuz, J Jensen, B Rague, D Weidman Proceedings of the 50th ACM Technical Symposium on Computer Science …, 2019 | 26 | 2019 |
| Real-time annotation tool (RAT) KD Feuz, DJ Cook Workshops at the twenty-seventh AAAI conference on artificial intelligence, 2013 | 22 | 2013 |
| Modeling skewed class distributions by reshaping the concept space K Feuz, D Cook Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 19 | 2017 |
| Prompting technologies: A comparison of time-based and context-aware transition-based prompting K Robertson, C Rosasco, K Feuz, M Schmitter-Edgecombe, D Cook Technology and Health Care 23 (6), 745-756, 2015 | 18 | 2015 |
| Improving feedlot profitability using operational data in mortality prediction modeling R Feuz, K Feuz, M Johnson Journal of Agricultural and Resource Economics 46 (2), 242-255, 2021 | 4 | 2021 |
| Collegial Activity Learning Between Heterogeneous Sensors DJ Cook, K Feuz US Patent App. 14/720,078, 2015 | 4 | 2015 |
| C-66 Prompting Technologies: Is Prompting during Activity Transition More Effective than Time-Based Prompting? K Robertson, C Rosasco, K Feuz, D Cook, M Schmitter-Edgecombe Archives of Clinical Neuropsychology 29 (6), 2014 | 4 | 2014 |
| Simulating Pedestrian Route Selection with Imperfect Knowledge K Feuz, V Allan International Conference on Agents and Artificial Intelligence 2, 146-153, 2012 | 4 | 2012 |
| Scalability and robustness of feed yard mortality prediction modeling to improve profitability R Feuz, K Feuz, J Gradner, M Theurer, M Johnson Agricultural and Resource Economics Review 51 (3), 610-632, 2022 | 3 | 2022 |
| Preparing smart environments for life in the wild: Feature-space and multi-view heterogeneous transfer learning KD Feuz Washington State University, 2014 | 3 | 2014 |
| Group Formation and Knowledge Sharing in Pedestrian Egress Simulation. KD Feuz, VH Allan ICAART (1), 357-364, 2013 | 2 | 2013 |
| On Time-based Exploration of LMS Data and Prediction of Student Performance A Al-Gahmi, K Feuz, Y Zhang 2022 ASEE Annual Conference & Exposition, 2022 | 1 | 2022 |
| Specialized Neural Network Pruning for Boolean Abstractions. J Briscoe, BW Rague, K Feuz, R Ball KEOD, 178-185, 2021 | 1 | 2021 |
| Simulating Knowledge and Information in Pedestrian Egress. KD Feuz, VH Allan ICAART (2), 246-253, 2012 | 1 | 2012 |
| Pedestrian Leadership and Egress Assistance Simulation Environment (PLEASE) KD Feuz Utah State University, 2011 | 1 | 2011 |