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ORCIDKaylin M. Bugbee
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2020 – today
- 2024
[c13]Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain 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, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 2024: 98-112- [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 - [c11]Kaylin M. Bugbee, Ashish Acharya, Emily Foshee, Muthukumaran Ramasubramanian, Carson Davis, Bishwas Praveen, Kartik Nagaraja, Tarun Misra, Shravan Vishwanathan, Stephanie Wingo, Nikita Balsara, Xiang Li, Meghna Okhade, Justin John:
The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search. IGARSS 2024: 4055-4057 - [i2]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, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024) - 2023
- [c10]Fech Scen Khoo, Megan Mark, Roelien C. Timmer, Marcella Scoczynski Ribeiro Martins, Emily Foshee, Kaylin M. Bugbee, Gregory Renard, Anamaria Berea:
Building Knowledge Graphs in Heliophysics and Astrophysics. NLDB 2023: 215-228 - [c9]Roelien C. Timmer, Megan Mark, Fech Scen Khoo, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee:
NASA Science Mission Directorate Knowledge Graph Discovery. WWW (Companion Volume) 2023: 795-799 - [i1]Roelien C. Timmer, Fech Scen Khoo, Megan Mark, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee:
NASA Science Mission Directorate Knowledge Graph Discovery. CoRR abs/2303.10871 (2023) - 2022
- [c8]Kaylin M. Bugbee, Rahul Ramachandran, Ashish Acharya, Dai Hai Ton That, John Hedman, Ahmed Eleish, Charles Driessnack, Wesley Adams, Emily Foshee:
Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog. IGARSS 2022: 6836-6839 - 2020
- [c7]Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes:
Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. IGARSS 2020: 3097-3100 - [c6]Kaylin M. Bugbee, Aaron Kaulfus, Alyssa Harris, Sean Bailey, Rahul Ramachandran, Sean Harkins, Aimee Barciauskas, Deborah K. Smith:
Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype. IGARSS 2020: 3131-3134
2010 – 2019
- 2019
- [c5]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 - [c4]Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang:
Alternative Datasets for Identification of Earth Science Events and Data. IGARSS 2019: 9510-9513 - 2018
- [j4]Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin:
The art and science of data curation: Lessons learned from constructing a virtual collection. Comput. Geosci. 112: 76-82 (2018) - [c3]Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee:
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. ICCC 2018: 9-16 - 2017
- [j3]Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller:
A relevancy algorithm for curating earth science data around phenomenon. Comput. Geosci. 106: 164-170 (2017) - 2016
- [j2]Rahul Ramachandran, Kaylin M. Bugbee, Curt Tilmes, Ana Pinheiro Privette:
Climate data initiative: A geocuration effort to support climate resilience. Comput. Geosci. 88: 22-29 (2016) - [c2]Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee:
Exploiting dark information resources to create new value added services to study Earth science phenomena. IGARSS 2016: 182-185 - 2015
- [j1]Peng Yue, Peter Baumann, Kaylin M. Bugbee, Liangcun Jiang:
Towards intelligent GIServices. Earth Sci. Informatics 8(3): 463-481 (2015) - [c1]Curt Tilmes, Ana Pinheiro Privette, Jeffrey Chen, Rahul Ramachandran, Kaylin M. Bugbee, Robert E. Wolfe:
Linking from observations to data to actionable science in the climate data initiative. IGARSS 2015: 1354-1357
Coauthor Index
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