Mai H. Nguyen

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 30

Top Topics

Unsupervised Learning

Satellite Imagery

Top Venues

Publications

Bridget T. McInnes, Jiawei Tang, Darshini Mahendran, Mai H. Nguyen
BioBERT-based Deep Learning and Merged ChemProt-DrugProt for Enhanced Biomedical Relation Extraction. CoRR (2024)
Jianwu Wang, Junqi Yin, Mai H. Nguyen, Jingbo Wang, Weijia Xu
Editorial: Big scientific data analytics on HPC and cloud. Frontiers Big Data 7 (2024)
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM (2024)
Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science (2023)
Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Pérez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15 (11) (2023)
Li Tan, Raymond A. de Callafon, Mai H. Nguyen, Ilkay Altintas
Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires. ICCS (1) (2023)
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. CoRR (2023)
Mary P. Thomas, Andreas W. Götz, Martin C. Kandes, Mai H. Nguyen, Paul Rodríguez, Peter W. Rose, Robert S. Sinkovits
Developing a Best Practices Training Program in Cyberinfrastructure-Enabled Machine Learning Research. PEARC (2023)
Rommie E. Amaro, Jiunn-Yeu Chen, Javier M. Duarte, Thomas E. Hutton, Christopher Irving, Martin C. Kandes, Amit Majumdar, Dmitry Y. Mishin, Mai H. Nguyen, Paul Rodríguez, Fernando Silva, Robert S. Sinkovits, Shawn M. Strande, Mahidhar Tatineni, Leon Si Tran, Nicole Wolter
Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering. PEARC (2023)
Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. Remote. Sens. 14 (4) (2022)
Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Multimodal Wildland Fire Smoke Detection. CoRR (2022)
Nicholas E. Rodriguez, Mai H. Nguyen, Bridget T. McInnes
Effects of data and entity ablation on multitask learning models for biomedical entity recognition. J. Biomed. Informatics 130 (2022)
Zhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen
Generalization in Cardiac Image Segmentation. IEEE BigData (2021)
Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. CoRR (2021)
Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience (2019)
Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLoS Comput. Biol. 15 (7) (2019)
Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning. CoRR (2019)
Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors 19 (20) (2019)
Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData (2019)
Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion (2018)
Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. CoRR (2018)
Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
Ten Simple Rules for Reproducible Research in Jupyter Notebooks. CoRR (2018)
Mai H. Nguyen, Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Marcus Bobar, Eric D. Carruth, Dylan Uys, Ilkay Altintas, Evan D. Muse, Giorgio Quer, Steven R. Steinhubl
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning. eScience (2018)
Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData (2018)
Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR (2017)
Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Tom DeFanti, Ilkay Altintas
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience (2017)
Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData (2017)
Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas
Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS (2016)
Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas
A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData (2016)
Behnam Hedayatnia, Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Ilkay Altintas
Determining feature extractors for unsupervised learning on satellite images. IEEE BigData (2016)
Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData (2015)
Ilkay Altintas, Jessica Block, Raymond A. de Callafon, Daniel Crawl, Charles Cowart, Amarnath Gupta, Mai H. Nguyen, Hans-Werner Braun, Jürgen P. Schulze, Michael Gollner, Arnaud Trouve, Larry Smarr
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS (2015)
Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC (2014)
Mai H. Nguyen, Garrison W. Cottrell
Tau Net A neural network for modeling temporal variability. Neurocomputing 15 (3-4) (1997)
Mai H. Nguyen, Garrison W. Cottrell
A Connectionist Approach to Rate Adaptation. SIGART Bull. 5 (3) (1994)
Garrison W. Cottrell, Mai H. Nguyen, Fu-Sheng Tsung
Dynamic rate adaptation. Artif. Intell. Rev. 7 (5) (1993)