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2020 – today
- 2024
[c13]Paridhi Parajuli, Rajat Shinde, Iksha Gurung, Manil Maskey, Rahul Ramachandran:
Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study. IGARSS 2024: 483-487- [c12]Kaylin M. Bugbee, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Ge Peng, Deborah K. Smith, Iksha Gurung, Ashish Acharya, Jerika Christman:
Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. IGARSS 2024: 3720-3723 - [i3]Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan
, Armin Mehrabian, Tsendgar Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024) - 2023
- [c11]Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran:
Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. IGARSS 2023: 32-35 - [c10]Iksha Gurung, Slesa Adhikari, Abdelhak Marouane, Rajesh Pandey, Satkar Dhakal, Manil Maskey:
Exploring Blockchain to Support Open Science Practices. IGARSS 2023: 1205-1208 - [c9]Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran:
A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. IGARSS 2023: 1404-1407 - [i2]Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - [i1]Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey:
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. CoRR abs/2311.09276 (2023) - 2022
- [c8]Rahul Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey:
Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS 2022: 4015-4018 - [c7]Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul:
Artificial Intelligence Vis-à-Vis Data Systems. IGARSS 2022: 5081-5084 - 2021
- [c6]Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee:
Augmenting Data Systems with Prediction based Embeddings. IGARSS 2021: 1138-1141 - [c5]Manil Maskey, Michael Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey:
Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. IGARSS 2021: 1370-1373 - 2020
- [j3]Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller:
Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4271-4281 (2020) - [c4]Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva:
Employing Deep Learning to Enable Visual Exploration of Earth Science Events. IGARSS 2020: 2248-2251
2010 – 2019
- 2019
- [j2]Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran:
Deep feature extraction and its application for hailstorm detection in a large collection of radar images. Signal Image Video Process. 13(3): 541-549 (2019) - [j1]Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher:
Applying Deep Learning to Hail Detection: A Case Study. IEEE Trans. Geosci. Remote. Sens. 57(12): 10218-10225 (2019) - [c3]Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst:
Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). IGARSS 2019: 4261-4264 - [c2]Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil:
Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. IGARSS 2019: 10043-10046 - 2018
- [c1]Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung:
Earth Science Deep Learning: Applications and Lessons Learned. IGARSS 2018: 1760-1763
Coauthor Index
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