Publications

(2024). Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. Proceedings of the 33rd International Conference on Information and Knowledge Management, GTA3 Workshop-2024.
(2024). Batch Active Learning for Multispectral and Hyperspectral Image Segmentation Using Similarity Graphs. Communications on Applied Mathematics and Computation.
(2023). AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. 2023 IEEE International Conference on Big Data (BigData).
(2023). Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis. 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
(2023). Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing.
(2023). Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.
(2023). Novel batch active learning approach and its application to synthetic aperture radar datasets. Algorithms for Synthetic Aperture Radar Imagery XXX.
(2022). A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process. Predicting Pandemics in a Globally Connected World, Volume 1: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation.
(2021). Modeling illegal logging in Brazil. Research in the Mathematical Sciences.