Journal Articles
K. D. Feuz & D. J. Cook. Collegial activity learning between heterogeneous sensors. Knowledge and information systems 53:337-364 2017
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
pdf 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
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
K.D. Feuz and D.J. Cook. Modeling Skewed Class Distributions by Reshaping the Concept Space Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence pages 1891-1897. 2017 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
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
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
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
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
*This paper is the Outstanding Paper in the 2015 Emerald Literati Network Awards for Excellence
Conferences and Workshops
Acceptance Rate: (24.6%)
Acceptance Rate: (50% including posters)
Acceptance Rate: (38% including short papers)
Acceptance Rate: (38% including short papers)
Other Publications
Thesis