Kyle Feuz

Associate Professor at Economics, Weber State University0 Followers

Dr. Kyle Feuz is an Associate Professor based in Ogden, Utah. While the specific department and university affiliation are not explicitly mentioned, Dr. Feuz is recognized for his contributions to the academic community. His research interests, though not detailed, suggest a broad engagement with contemporary issues in his field. Dr. Feuz is known for his innovative approach to teaching and research, fostering an environment that encourages critical thinking and exploration. His work has been instrumental in shaping the academic landscape, and he continues to inspire students and colleagues alike with his commitment to excellence.

Research Interests

Machine learning data science artificial intelligence educational technology

Publications

1 - Heterogeneous transfer learning for activity recognition using heuristic search techniques,International Journal of Pervasive Computing and Communications

Kyle Dillon Feuz , Diane J. Cook ,

, 393-418, 2014-10-28

2 - Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR),ACM Transactions on Intelligent Systems and Technology

Kyle D. Feuz , Diane J. Cook ,

, 1-27, 2015-03-11

3 - Scalability and robustness of feed yard mortality prediction modeling to improve profitability,Agricultural and Resource Economics Review

Ryan Feuz , Kyle Feuz , Jeffrey Gradner , Miles Theurer , Myriah Johnson ,

, 610-632, 2022-09-20

4 - Modeling Skewed Class Distributions by Reshaping the Concept Space,Proceedings of the AAAI Conference on Artificial Intelligence

Kyle Feuz , Diane Cook ,

, 2017-02-13

5 - Collegial activity learning between heterogeneous sensors,Knowledge and Information Systems

Kyle D. Feuz , Diane J. Cook ,

, 337-364, 2017-03-27

6 - On Time-based Exploration of LMS Data and Prediction of Student Performance,2022 ASEE Annual Conference & Exposition Proceedings

Abdulmalek Al-Gahmi , Kyle Feuz , Yong Zhang ,

, 2024-02-06

7 - On Time-based Exploration of Student Performance Prediction,2023 ASEE Annual Conference & Exposition Proceedings

Abdulmalek Al-Gahmi , Kyle Feuz , Yong Zhang ,

, 2024-02-07

8 - Transfer learning for activity recognition: a survey,Knowledge and Information Systems

Diane Cook , Kyle D. Feuz , Narayanan C. Krishnan ,

, 537-556, 2013-06-07

9 - Specialized Neural Network Pruning for Boolean Abstractions,Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Jarren Briscoe , Brian Rague , Kyle Feuz , Robert Ball ,

, 178-185, 2021-01-01

10 - Improving Student Learning Through Required Exposure to Other Students' Code via Discussion Boards,2020 ASEE Virtual Annual Conference Content Access Proceedings

Kyle Feuz , Linda DuHadway , Hugo Valle , Richard Fry , Kim Murphy ,

, 2020-09-08

11 - Prompting technologies: A comparison of time-based and context-aware transition-based prompting,Technology and Health Care

Kayela Robertson , Cody Rosasco , Kyle Feuz , Maureen Schmitter-Edgecombe , Diane Cook ,

, 745-756, 2015-10-27

12 - Applying Machine Learning to Improve Curriculum Design,Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Robert Ball , Linda Duhadway , Kyle Feuz , Joshua Jensen , Brian Rague , Drew Weidman ,

, 787-793, 2019-02-22

13 - Automated Detection of Activity Transitions for Prompting,IEEE Transactions on Human-Machine Systems

Kyle D. Feuz , Diane J. Cook , Cody Rosasco , Kayela Robertson , Maureen Schmitter-Edgecombe ,

, 575-585, 2015-10-01

Share Kyle's Profile