A relevancy algorithm for curating earth science data around phenomenon. - Manil Maskey; Rahul Ramachandran; Xiang Li 043; Amanda Weigel; Kaylin M. Bugbee; Patrick Gatlin; Jeffrey J. Miller (Comput. Geosci., 2017)

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. - Xiaoyi Duan; Jia Zhang 001; Rahul Ramachandran; Patrick Gatlin; Manil Maskey; Jeffrey J. Miller; Kaylin M. Bugbee; Tsengdar J. Lee (ICCC, 2018)

Earth Science Deep Learning: Applications and Lessons Learned. - Manil Maskey; Rahul Ramachandran; Jeffrey J. Miller; Jia Zhang 001; Iksha Gurung (IGARSS, 2018)

Detection of transverse cirrus bands in satellite imagery using deep learning. - Jeffrey J. Miller; Udaysankar Nair; Rahul Ramachandran; Manil Maskey (Comput. Geosci., 2018)

Alternative Datasets for Identification of Earth Science Events and Data. - Kaylin M. Bugbee; Robert Griffin; Brian Freitag; Jeffrey J. Miller; Rahul Ramachandran; Jia Zhang 001 (IGARSS, 2019)

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). - Kaylin M. Bugbee; Christopher Lynnes; Manil Maskey; Aimee Barciauskas; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Jeffrey J. Miller; Iksha Gurung; Amanda S. Whitehurst (IGARSS, 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 (IGARSS, 2019)

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)