Algorithms for tracking with a foveal sensor. - Gregory Spell; Douglas Cochran (ACSSC, 2015)

Deep Overcomplete Tensor Rank-Decompositions. - Andrew Stevens 005; Yunchen Pu; Yannan Sun; Gregory Spell; Lawrence Carin (CoRR, 2016)

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. - Andrew Stevens 005; Yunchen Pu; Yannan Sun; Gregory Spell; Lawrence Carin (AISTATS, 2017)

Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. - Kevin J. Liang; John B. Sigman; Gregory P. Spell; Dan Strellis; William Chang; Felix Liu; Tejas Mehta; Lawrence Carin (CoRR, 2019)

An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. - Gregory Spell; Brian Guay; Sunshine Hillygus; Lawrence Carin (EMNLP (1), 2020)

Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. - John B. Sigman; Gregory P. Spell; Kevin J. Liang; Lawrence Carin (CoRR, 2020)

Application of Compositional Neural Networks for Robust Classification of Infrared Imagery. - Gregory P. Spell; Leslie M. Collins; Jordan M. Malof (IGARSS, 2021)

FLOP: Federated Learning on Medical Datasets using Partial Networks. - Qian Yang 003; Jianyi Zhang; Weituo Hao; Gregory P. Spell; Lawrence Carin (KDD, 2021)

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. - Gregory P. Spell; Simiao Ren; Leslie M. Collins; Jordan M. Malof (AAAI, 2023)

Deep Learning for Applications in Inverse Modeling, Legislator Analysis, and Computer Vision for Security. - Gregory Spell (2023)