Jessica Block

According to our database, Jessica Block authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multimodal Wildland Fire Smoke Detection.

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

Remote. Sens., 2023

2022

Estimation of wildfire wind conditions via perimeter and surface area optimization.

Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Tolga Çaglar, Ilkay Altintas

J. Comput. Sci., 2022

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction.

Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements.

Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas

Proceedings of the Computational Science - ICCS 2021, 2021

2019

Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery.

Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas

Proceedings of the 15th International Conference on eScience, 2019

Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing.

Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery.

Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning.

Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment.

Daniel Crawl, Jessica Block, Kai Lin, Ilkay Altintas

Proceedings of the International Conference on Computational Science, 2017

An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis.

Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Thomas A. DeFanti, Ilkay Altintas

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Big Data Techniques for Public Health: A Case Study.

Yannis Katsis, Natasha Balac, Derek Chapman, Madhur Kapoor, Jessica Block, William G. Griswold, Jeannie Huang, Nikos Koulouris, Massimiliano Menarini, Viswanath Nandigam, Mandy Ngo, Kian Win Ong, Yannis Papakonstantinou, Besa Smith, Konstantinos Zarifis, Steven H. Woolf, Kevin Patrick

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2016

Determining feature extractors for unsupervised learning on satellite images.

Behnam Hedayatnia, Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Ilkay Altintas

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.

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

Proceedings of the International Conference on Computational Science, 2015