Michael McGuire

Selected Publications:

Journal Publications

McGuire, M. P., & Moore, T. W. (2022). Prediction of tornado days in the United States with deep convolutional neural networks. Computers & Geosciences, 159, 104990.

Moore, T. W., J. M. St. Clair, and M. P. McGuire (2022). Climatology and trends of tornado favorable environmental ingredients in the United States. Annals of the American Association of Geographers. 112.2, 331-349.

Yin, Y., Y. Alqahtani, J. H. Feng, J. Chakraborty, and M.P McGuire (2021). Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering. SN Computer Science, 2(2), 1-26.

Sarraf, R., and M.P. McGuire (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399.

Moore, T. W and M.P. McGuire, (2019). Tornado-days in the United States by phase of the Madden–Julian oscillation and global wind oscillation. Climate Dynamics, 1-20.

Moore, T. W. and M. P. McGuire (2019). “Using the standard deviational ellipse to document changes to the spatial dispersion of seasonal tornado activity in the United States.” npj Climate and Atmospheric Science. 2(1), 21.

Sarraf, R. and M. P. McGuire (2018) “A Data Driven Approach for Safe Route Planning.” International Journal of Applied Geospatial Research (IJAGR), 9(1), 1-18.

Roberge, M., M. P. McGuire, and J. Lian (2017) “HydroCloud: a web application for exploring USGS stream gage data” Journal of Open Research Software. 5(1).

Lian, J., M. P. McGuire, and T. Moore (2017) “Funnel Cloud: A Cloud-Based System for Exploring Tornado Events.” International Journal of Digital Earth.  10(10), 1030-1054.

Conference Publications

Sarraf, R., & McGuire, M. P. (2021). Effect of Normalization on TOPSIS and Fuzzy TOPSIS. In Proceedings of the Conference on Information Systems Applied Research ISSN (Vol. 2167, pp. 1508).

Yin, Y.*, Alqahtani, Y.*, Feng, J. H., Chakraborty, J., & McGuire, M. P. (2021, December). Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 601-605). IEEE.

Peneda, M.*, Wang, Q., Liao, W., McGuire, M. P. (2022) A Multi-model Multi-task Learning System for Hurricane Genesis Prediction. 20th IEEE/ACIS International Conference on Software Engineering, Management, and Applications (SERA). May 25, 2022, Las Vegas, USA.

Alqahtani, Y., J. Chakraborty, McGuire, M., and Feng, J. (2019) Understanding Visual information processing for American vs. Saudi Arabian Users. 10th International Conference on Applied Human Factors and Ergonomics. July 2019.

Alqahtani, Y., McGuire, M., Chakraborty, J., and Feng, J. (2019) Understanding how ADHD affects visual information processing.  21st International Conference on Human-Computer Interaction. July 2019.

Mittrick, M., J. Richardson, T. Hanratty, M. P. McGuire, J. Chakraborty. (2018) Measuring the Effects of Augmented Visualizations Through Eye Gaze Tracking.  23rd ICCRTS Information Central, November 6-9, 2018, Pensacola, Florida.

Yin, C. Juan, J. Chakraborty and M. P. McGuire, (2018) "Classification of Eye Tracking Data Using a Convolutional Neural Network," 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, 2018, pp. 530-535.

Lian, J., S. Miao*, M. P. McGuire, and Z Tang. (2018) SQL or NoSQL? Which is the Best Choice for Storing Big Spatio-Temporal Climate Data? 37th International Conference on Conceptual Modeling (ER 2018). October 22-25, Xi’an, China

McGuire, M. P., and T. Moore (2018) “Analysis of Tornado Environments using Convolutional Neural Networks” 14th International Conference on Data Science, July, 2018, Las Vegas Nevada, USA.

Sarraf, R. and M. P. McGuire (2018) “A Data Integration and Analysis System for Safe Route Planning” 17th International Conference on Information and Knowledge Engineering July, 2018, Las Vegas Nevada, USA