Joshua Peeples

According to our database, Joshua Peeples authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks.

Amirmohammad Mohammadi, Iren'e Masabarakiza, Ethan Barnes, Davelle Carreiro, Alexandra Van Dine, Joshua Peeples

CoRR, 2024

Transfer Learning for Passive Sonar Classification using Pre-trained Audio and ImageNet Models.

Amirmohammad Mohammadi, Tejashri Kelhe, Davelle Carreiro, Alexandra Van Dine, Joshua Peeples

CoRR, 2024

Spatial Transformer Network YOLO Model for Agricultural Object Detection.

Yash Zambre, Ekdev Rajkitkul, Akshatha Mohan, Joshua Peeples

CoRR, 2024

Histogram Layers for Neural Engineered Features.

Joshua Peeples, Salim Al Kharsa, Luke Saleh, Alina Zare

CoRR, 2024

Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis.

Akshatha Mohan, Joshua Peeples

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Histogram Layer Time Delay Neural Networks for Passive Sonar Classification.

Jarin Ritu, Ethan Barnes, Riley Martell, Alexandra Van Dine, Joshua Peeples

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification.

Akshatha Mohan, Joshua Peeples

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Histogram Layers for Texture Analysis.

Joshua Peeples, Weihuang Xu, Alina Zare

IEEE Trans. Artif. Intell., 2022

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification.

Joshua Peeples, Sarah Walker, Connor H. McCurley, Alina Zare, James Keller, Weihuang Xu

IEEE Geosci. Remote. Sens. Lett., 2022

Learnable Adaptive Cosine Estimator (LACE) for Image Classification.

Joshua Peeples, Connor H. McCurley, Sarah Walker, Dylan Stewart, Alina Zare

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Histogram Layers for Synthetic Aperture Sonar Imagery.

Joshua Peeples, Alina Zare, Jeffrey Dale, James Keller

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation.

Joshua Peeples, Daniel Suen, Alina Zare, James Keller

CoRR, 2021

Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery.

Sarah Walker, Joshua Peeples, Jeff Dale, James Keller, Alina Zare

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification.

Joshua Peeples, Sarah Walker, Connor H. McCurley, Alina Zare, James Keller

CoRR, 2020

2019

Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation.

Joshua Peeples, Matthew Cook, Daniel Suen, Alina Zare, James Keller

CoRR, 2019

2018

Toward Resilient Smart Grid Communications Using Distributed SDN with ML-Based Anomaly Detection.

Allen Starke, Janise McNair, Rodrigo D. Trevizan, Arturo S. Bretas, Joshua Peeples, Alina Zare

Proceedings of the Wired/Wireless Internet Communications, 2018