Mai H. Nguyen
Orcid: 0000-0002-1444-648X
According to our database1,
Mai H. Nguyen
authored at least 34 papers
between 1993 and 2024.
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Bibliography
2024
BioBERT-based Deep Learning and Merged ChemProt-DrugProt for Enhanced Biomedical Relation Extraction.
CoRR, 2024
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
2023
Developing a Best Practices Training Program in Cyberinfrastructure-Enabled Machine Learning Research.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023
Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection.
Remote. Sens., 2022
Effects of data and entity ablation on multitask learning models for biomedical entity recognition.
J. Biomed. Informatics, 2022
2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2019
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data.
Sensors, 2019
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.
PLoS Comput. Biol., 2019
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning.
CoRR, 2019
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 15th International Conference on eScience, 2019
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning.
CoRR, 2018
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning.
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires.
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014
1997
1994
1993