Kaylin M. Bugbee

19 papers C 11Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2024 C conf
Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework.
IGARSS
Kaylin M. Bugbee, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Ge Peng, Deborah K. Smith, Iksha Gurung, Ashish Acharya, Jerika Christman
2024 — conf
INDUS: Effective and Efficient Language Models for Scientific Applications.
EMNLP (Industry Track)
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
2024 J jnl
INDUS: Effective and Efficient Language Models for Scientific Applications.
CoRR
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
2024 C conf
The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search.
IGARSS
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
2023 C conf
Building Knowledge Graphs in Heliophysics and Astrophysics.
NLDB
Fech Scen Khoo, Megan Mark, Roelien C. Timmer, Marcella Scoczynski Ribeiro Martins, Emily Foshee, Kaylin M. Bugbee, Gregory Renard, Anamaria Berea
2023 — conf
NASA Science Mission Directorate Knowledge Graph Discovery.
WWW (Companion Volume)
Roelien C. Timmer, Megan Mark, Fech Scen Khoo, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee
2023 J jnl
NASA Science Mission Directorate Knowledge Graph Discovery.
CoRR
Roelien C. Timmer, Fech Scen Khoo, Megan Mark, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee
2022 C conf
Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog.
IGARSS
Kaylin M. Bugbee, Rahul Ramachandran, Ashish Acharya, Dai Hai Ton That, John Hedman, Ahmed Eleish, Charles Driessnack, Wesley Adams, Emily Foshee
2020 C conf
Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem.
IGARSS
Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes
2020 C conf
Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype.
IGARSS
Kaylin M. Bugbee, Aaron Kaulfus, Alyssa Harris, Sean Bailey, Rahul Ramachandran, Sean Harkins, Aimee Barciauskas, Deborah K. Smith
2019 C conf
Alternative Datasets for Identification of Earth Science Events and Data.
IGARSS
Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang
2019 C conf
Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP).
IGARSS
Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst
2018 C conf
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers.
ICCC
Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee
2018 J jnl
The art and science of data curation: Lessons learned from constructing a virtual collection.
Comput. Geosci.
Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin
2017 J jnl
A relevancy algorithm for curating earth science data around phenomenon.
Comput. Geosci.
Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller
2016 J jnl
Climate data initiative: A geocuration effort to support climate resilience.
Comput. Geosci.
Rahul Ramachandran, Kaylin M. Bugbee, Curt Tilmes, Ana Pinheiro Privette
2016 C conf
Exploiting dark information resources to create new value added services to study Earth science phenomena.
IGARSS
Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee
2015 C conf
Linking from observations to data to actionable science in the climate data initiative.
IGARSS
Curt Tilmes, Ana Pinheiro Privette, Jeffrey Chen, Rahul Ramachandran, Kaylin M. Bugbee, Robert E. Wolfe
2015 J jnl
Towards intelligent GIServices.
Earth Sci. Informatics
Peng Yue, Peter Baumann, Kaylin M. Bugbee, Liangcun Jiang