Student co-authors highlighted in blue
- K. Cui, S. Camalan, R Li, V.P. Pauca, S. Alqahtani, M. Silman, R. Plemmons, E. Dethier, D. Lutz, and R. Chan, “Semi-supervised Change Detection Of Small Water Bodies Using RGB And Multispectral Images In Peruvian Rainforests”, The 12th IEEE WHISPERS, Sept. 2022
- S. Camalan, K. Cui, V.P. Pauca, S. Alqahtani, M. Silman, R. Chan, R. Plemmons, E. Dethier, L. Fernandez, and D. Lutz, “Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery,” Remote Sensing 14, no. 7: 1746, 2022. https://doi.org/10.3390/rs14071746
- E. Dethier, M. Silman, L. Fernandez , J.Caballero Espejo , S. Alqahtani, V.P. Pauca, and D. Lutz, “Operation Mercury: Impacts of National-Level Military-Based Enforcement Strategy and COVID-19 on Artisanal Gold Mining and Water Quality in a Biodiversity Hotspot in the Peruvian Amazon,” Conservation Letters, 2022.
- S. M. Bilodeau, A. Schwartz, B. Xu, V. P. Pauca, and M. R. Silman. “A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis,” Plos one 17, no. 2, 2022: e0263377.
- A. Peake, J. McCalmon, Y. Zhang, D. Myers, S. Alqahtani, V.P. Pauca, “Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments”, the IEEE International Conference on Unmanned Aircraft Systems, (ICUAS ’21), pp. 265–274, IEEE, 2021.
- Y. Zhang, J. McCalmon, A. Peake, S. Alqahtani, V.P. Pauca, “A Symbolic-AI Approach for UAV Exploration Tasks”, the 8th International Conference on Automation, Robotics and Applications (ICARA 2021), pp. 101–105, IEEE, 2021
- X.Liu, P. Shi, T. Liu, S. Alqahtani, V.P. Pauca, and M. Silman, “Robustness-Driven Exploration with Probabilistic Metric Temporal Logic”, the 13th International Conference on Agents and Artificial Intelli- gence (ICAART 2021), arXiv preprint arXiv:1912.01704, 2019.
- G. Gutierrez-Cervantes, E. Castro-Gutierrez, J. Delgado-Obando, V.P. Pauca, S. Klein, and H. Lamecker “Analysis of Multi-scale Approach for Accurate Segmentation of the Hip Joint from X-ray Imagery,” SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019.
- T. C. Torgersen, V. P. Pauca, R. J. Plemmons, Q. Zhang, D. Nikic, and J. Wu. “Multi-Dimensional Regular Expressions for Object Detection in Multi-Dimensional Data Sets,” In book: Imaging, Vision and Learning Based on Optimization and PDEs, pp.145-164, 2018
- S. Morchhale, V. P. Pauca, R. Plemmons, and T. Torgersen. “Classification of Pixel-Level Fused Hyperspectral and LiDAR Data Using Deep Convolutional Neural Networks,” 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, August, 2016.