Charlie T. Veal

According to our database, Charlie T. Veal authored at least 7 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps.

Muhammad Aminul Islam, Charlie T. Veal, Yashaswini Gouru, Derek T. Anderson

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence.

Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

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

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features.

Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019