Interpretable Discovery in Large Image Data Sets. - Kiri L. Wagstaff; Jake H. Lee (CoRR, 2018)

Visualizing image content to explain novel image discovery. - Jake H. Lee; Kiri L. Wagstaff (Data Min. Knowl. Discov., 2020)

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. - Kiri Wagstaff; Steven Lu 001; Emily Dunkel; Kevin Grimes; Brandon Zhao; Jesse Cai; Shoshanna B. Cole; Gary Doran; Raymond Francis; Jake H. Lee; Lukas Mandrake (AAAI, 2021)

K-textures, a self supervised hard clustering deep learning algorithm for satellite image segmentation. - Fabien Hubert Wagner; Ricardo Dalagnol; Alber H. Sánchez; Mayumi C. M. Hirye; Samuel Favrichon; Jake H. Lee; Steffen Mauceri; Yan Yang; Sassan Saatchi (CoRR, 2022)

Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor. - Mark Wronkiewicz; Jake H. Lee; Lukas Mandrake; Jack Lightholder; Gary Doran; Steffen Mauceri; Taewoo Kim; Nathan Oborny; Thomas Schibler; Jay Nadeau; James K. Wallace; Eshaan Moorjani; et al. (CoRR, 2023)

SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection. - Jake H. Lee; Michael Kiper; David R. Thompson 001; Philip G. Brodrick (CoRR, 2025)

Towards Operational Automated Greenhouse Gas Plume Detection. - Brian D. Bue; Jake H. Lee; Andrew K. Thorpe; Philip G. Brodrick; Daniel Cusworth; Alana K. Ayasse; Vassiliki Mancoridis; Anagha Satish; Shujun Xiong; Riley M. Duren (CoRR, 2025)

Multi-Platform Methane Plume Detection via Model and Domain Adaptation. - Vassiliki Mancoridis; Brian D. Bue; Jake H. Lee; Andrew K. Thorpe; Daniel Cusworth; Alana K. Ayasse; Philip G. Brodrick; Riley M. Duren (CoRR, 2025)