Drew Bollinger

According to our database, Drew Bollinger authored at least 5 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard.

Manil Maskey, Michael J. Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System.

Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Employing Deep Learning to Enable Visual Exploration of Earth Science Events.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment.

Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Towards equitable access to information and opportunity for all: mapping schools with high-resolution Satellite Imagery and Machine Learning.

Zhuangfang Yi, Naroa Zurutuza, Drew Bollinger, Manuel García-Herranz, Dohyung Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019