Publications and Presentations

Publications

S. Zou, C. H. McCurley, A. Zare and P. Gader. “A Review of Learning from Weak and Imprecise Labels.” (In prep.)

J. Peeples, S. Walker, C. H. McCurley, A. Zare, J. Keller, and W. Xu. “Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification,” in IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 19, pp. 1-5, 2022.
S. K. Meerdink, J. Bocinsky, A. Zare, N. Kroeger, C. H. McCurley, D. Shats and P. D. Gader. “Multi-Target Multiple Instance Learning for Hyperspectral Target Detection,” in IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021.

C. H. McCurley, D. Rodriguez, C. Trousdale, A. Stevens, A. Baldino, E. Li, I. Perlmutter, and A. Zare. “Bag-level Classification Network for Infrared Target Detection,” in Proc. SPIE, Automatic Target Recognition XXXII, 2022. (In Press.)
J. Peeples, C. H. McCurley, S. Walker, D. Stewart, and A. Zare. “Learnable Adaptive Cosine Estimator (LACE) for Image Classification,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 3479-3489, 2022.
S. Meerdink, J. Bocinsky, E. Wetherley, A. Zare, C. H. McCurley, and P. Gader. “Developing spectral libraries using Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator,” 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5, Sept. 2019.
C. H. McCurley, J. Bocinsky, A. Zare. “Comparison of Hand-held WEMI Target Detection Algorithms,” in Proc. SPIE 11012, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 2019.
J. Bocinsky, C. H. McCurley, D. Shats and A. Zare. “Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator,” in Proc. SPIE 11012, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 2019.

“Using Data to Train Models,” Florida Museum Scientist in Every Florida School ITEST Workshop, University of Florida, Gainesville, FL, July 2022.
“Bag-level Classification Network for Infrared Target Detection,” Tenth International Conference on Learning Representations (ICLR), CoSubmitting Summer Workshop (CSS), Virtual, April 2022
“Bag-level Classification Network for Infrared Target Detection,” International Society for Optics and Photonics (SPIE) Defense + Commercial Sensing Conference, Orlando, FL, April 2022.
“Comparison of Hand-held WEMI Target Detection Algorithms,” International Society for Optics and Photonics (SPIE) Defense + Commercial Sensing Conference, Baltimore, MD, April 2019.
“Student of the Week: Machine Learning and Sensing Lab,” ECE GSO General Body Meeting, University of Florida, October 2018.
“Electromagnetic Induction (EMI) Analysis,” Institute for Defense Analyses (IDA), Alexadria, VA, August 2018.

M. Cook, N. Kroger, C. H. McCurley, A. Zare, and P. Gader. “Robust Methods for Deep Neural Networks,” 2022 Naval Engineering Education Consortium (NEEC) Fest, Newport, RI, June 2022.
S. Zou, C. H. McCurley, A. Zare, C. Jiao, S. Meerdink, J. Bocinsky, N. Kroeger and P. Gader. “Target Detection Given Uncertain Training Data,” Warren B. Nelms Annual IoT Conference, Gainesville, FL, Dec. 2019.

Supervised Teaching. Introduction to Machine Learning, Undergraduate Course, University of Florida, Spring 2019
GatorTRAX K-12 Outreach Program. Machine Learning and Remote Sensing. University of Florida, Spring 2019.
Supervised Teaching. Elements of Machine Intelligence, Graduate Course, University of Florida, Fall 2018
Vice President of Scholarship. Sigma Phi Epsilon Fraternity, Missouri University of Science and Technology, 2014