11 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 1 cited
MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
Antoine Labatie, Michael Vaccaro, Nina Lardiere +2
Self-supervised learning holds great promise for remote sensing, but standard self-supervised methods must be adapted to the unique characteristics of Earth observation data. We ta…
cs.HC2024★ 11 cited
Evaluating the capability of large language models to personalize science texts for diverse middle-school-age learners
Michael Vaccaro, Mikayla Friday, Arash Zaghi
Large language models (LLMs), including OpenAI's GPT-series, have made significant advancements in recent years. Known for their expertise across diverse subject areas and quick ad…