Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. - Alex Yang; James Alex Hurt; Charlie T. Veal; Grant J. Scott (IEEE BigData, 2019)

Linear Order Statistic Neuron. - Charlie T. Veal; Alex Yang; J. Alex Hurt; Muhammad Aminul Islam; Derek T. Anderson; Grant J. Scott; James M. Keller; Timothy C. Havens; Bo Tang 011 (FUZZ-IEEE, 2019)

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. - Alex Yang; Charlie T. Veal; Derek T. Anderson; Grant J. Scott (CoRR, 2019)

Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (SSCI, 2020)

A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (CEC, 2021)

Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps. - Muhammad Aminul Islam; Charlie T. Veal; Yashaswini Gouru; Derek T. Anderson (IJCNN, 2021)

Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (SSCI, 2021)