Mai H. Nguyen - RankMe

37 papers A 1B 2Misc 2Journal 17Unranked 15

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