Michael P. McGuire

Orcid: 0000-0001-7585-8018

According to our database1, Michael P. McGuire authored at least 29 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of datasets citation coverage in Google Scholar, Web of Science, Scopus, Crossref, and DataCite.
Scientometrics, July, 2024

Blockchain-Empowered Federated Learning Through Model and Feature Calibration.
IEEE Internet Things J., February, 2024

Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language Models.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Tropical Cyclone Intensity Forecasting Using Deep Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Prediction of tornado days in the United States with deep convolutional neural networks.
Comput. Geosci., 2022

2021
Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering.
SN Comput. Sci., 2021

Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Integration and comparison of multi-criteria decision making methods in safe route planner.
Expert Syst. Appl., 2020

2019
Understanding How ADHD Affects Visual Information Processing.
Proceedings of the Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments, 2019

Understanding Visual Information Processing for American vs. Saudi Arabian Users.
Proceedings of the Advances in Design for Inclusion, 2019

2018
A Data Driven Approach for Safe Route Planning.
Int. J. Appl. Geospat. Res., 2018

Classification of Eye Tracking Data Using a Convolutional Neural Network.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data?
Proceedings of the Advances in Conceptual Modeling, 2018

2017
Data Mining Techniques for the Characterization of Dynamic Regions in Spatiotemporal Data.
Proceedings of the Encyclopedia of GIS., 2017

FunnelCloud: a cloud-based system for exploring tornado events.
Int. J. Digit. Earth, 2017

2016
Channeling the water data deluge: a system for flexible integration and analysis of hydrologic data.
Int. J. Digit. Earth, 2016

2014
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets.
Data Min. Knowl. Discov., 2014

The Design of a Collaborative Social Network for Watershed Science.
Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2014

Community structure analysis in big climate data.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Mining sensor datasets with spatiotemporal neighborhoods.
J. Spatial Inf. Sci., 2013

Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Detecting spatio-temporal outliers in crowdsourced bathymetry data.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2013

2012
TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

Exploring multivariate spatio-temporal change in climate data using image analysis techniques.
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Application, 2012

2011
Characterizing sensor datasets with multi-granular spatio-temporal intervals.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

2008
A user-centered design for a spatial data warehouse for data exploration in environmental research.
Ecol. Informatics, 2008

Spatiotemporal Neighborhood Discovery for Sensor Data.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

2007
Semantic Integration and Knowledge Discovery for Environmental Research.
J. Database Manag., 2007

Semantic integration of government data for water quality management.
Gov. Inf. Q., 2007


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