Journal Articles
R. Feuz, K.D. Feuz, J. Gradner, M. Theurer, and M. Johnson Scalability and robustness of feed yard mortality prediction modeling to improve profitability. Agricultural and Resource Economics Review. 51(3):610-632 2022 pdf,
R.C. Feuz, K.D. Feuz, M. Johnson Improving feedlot profitability using operational data in mortality prediction modeling. Journal of Agricultural and Resource Economics. 46(2):242-255 2021 pdf
K. D. Feuz & D. J. Cook. Collegial activity learning between heterogeneous sensors. Knowledge and information systems 53:337-364 2017 pdf
K. Robertson, C. Rosasco, K. Feuz, M. Schmitter-Edgecombe, and D. Cook Prompting technologies: a comparison of time-based and context-aware transition-based promoting. Technology and Health Care. 23:745-746 2015 pdf
K.D Feuz and D.J Cook. Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR). ACM Transactions on Intelligent Systems and Technology. 6(1):1-27 2015
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K.D Feuz, D.J Cook, C. Rosasco, and K. Robertson. Automated Detection of Activity Transitions for Prompting. IEEE Human-Machine Systems 45(5):575-585 2015 pdf
K.D Feuz and D.J Cook. *Heterogeneous Transfer Learning for Activity Recognition using Heuristic Search Tecnhiques. International Journal of Pervasive Computing and Communications 10.4:393-418 2014 pdf
*This paper is the Outstanding Paper in the 2015 Emerald Literati Network Awards for Excellence
D.J Cook, K.D Feuz and N.C Krishnan Transfer learning for activity recognition: A survey. Knowledge and Information Systems 36:537-556 2013 pdf
Conferences and Workshops
A. Al-Gahmi, K.D. Feuz, and Y. Zhang.On Time-based Exploration of Student Performance Prediction. In Proceedings ASEE Annual Conference and Exposition 2023 pdf
A. Al-Gahmi, K.D. Feuz, and Y. Zhang.On Time-based Exploration of LMS Data and Prediction of Student Performance In Proceedings ASEE Annual Conference and Exposition 2022 pdf
K.D. Feuz, L. DuHadway, H.E. Valle, R.C. Fry, and K.M. Murphy Improving Student Learning Through Required Exposure to Other Students' Code via Discussion Boards In Proceedings ASEE Virtual Annual Conference Content Access 2020 pdf
R. Ball, L. Duhadway,
R. Ball, J. Jensen, and K.D. Feuz. Family-Centric Visualization 2.0 In Roots Tech, 2019 pdf
K.D. Feuz and D.J. Cook. Skewed Class Distributions by Reshaping the Concept Space Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence pages 1891-1897. 2017
Acceptance Rate: (24.6%)
K. Robertson, C. Rosasco, K.D. Feuz, D. Cook, and M. Schmitter-Edgecombe. C-66Prompting Technologies: Is Prompting during Activity Transition More Effective than Time-Based Prompting? Archives of Clinical Neuropsychology 29.6:598-598 2014
K.D. Feuz and D. Cook. Real-time annotation tool (RAT). Proceedings of the AAAI Workshop on Activity Context-Aware System Architectures, 2013. pdf
A.S. Crandall, L. Zulas, K.D. Feuz, N.C. Krishnan, and D.J. Cook. Visualizing your ward: Bringing smart home data to caregivers. In Emerging Technologies for Healthcare and Aging Workshop in the Proceedings of Computer Human Interaction, 2012 pdf
K.D. Feuz and V. Allan. Group formation and knowledge sharing in pedestrian egress simulation. In 5th International Conference on Agents and Artificial Intelligence, SciTePress, February 2013, Barcelona, Spain. pdf
Acceptance Rate: (50% including posters)
K.D. Feuz and V. Allan. Simulating knowledge and information in pedestrian egress. In 4th International Conference on Agents and Artificial Intelligence, pages 246-253. SciTePress, February 2012, Villamoura, Algarve, Portugal. pdf
Acceptance Rate: (38% including short papers)
K.D. Feuz and V. Allan. Simulating pedestrian route selection with imperfect knowledge. In 4th International Conference on Agents and Artificial Intelligence, pages 146-153. SciTePress, February 2012, Villamoura, Algarve, Portugal. pdf
Acceptance Rate: (38% including short papers)
Other Publications
W. Smith, A. Fuller, and K. Feuz.Application Development and Automating Scoring with Machine Learning. NIH Training in Gerontechnology2016 pdf
K.D. Feuz. Pedestrian Leadership and Egress Assistance Simulation Environment. In Intermountain Graduate Research Symposium, Utah State University, 2011
K.D. Feuz, N.V. Sorensen, G. Kerzehner, and C.D. Mano. A comparison of methods to reduce redundancy in internal traffic monitoring to detect botnets. Research Experience for Undergraduates, Computer Science Department, Utah State University 2009 pdf
G. Kerzhner, K.D. Feuz, N.V. Sorensen, and C.D. Mano. Taint propagation in a network. Research Experience for Undergraduates, Computer Science Department, Utah State University 2009 pdf
Sorensen, N.V. and Sorensen, S.B. and Feuz, K.D. and Kerzhner, G. and Mano, C.D. Detecting covert botnets using communication patterns. Research Experience for Undergraduates, Computer Science Department, Utah State University 2009 pdf
Thesis
K.D. Feuz. Pedestrian Leadership and Egress Assistance Simulation Environment (PLEASE). Utah State University, 2011 pdf
K.D. Feuz. Preparing Smart Environments for Life in the Wild: Feature-space and Multi-view Heterogeneous Transfer Learning. Washington State University, 2014 pdf