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 (WWIC, 2018)

Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation. - Joshua Peeples; Matthew Cook 003; Daniel Suen; Alina Zare; James Keller 001 (CoRR, 2019)

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification. - Joshua Peeples; Sarah Walker; Connor H. McCurley; Alina Zare; James Keller 001 (CoRR, 2020)

Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery. - Sarah Walker; Joshua Peeples; Jeff Dale; James Keller 001; Alina Zare (IGARSS, 2021)

Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation. - Joshua Peeples; Daniel Suen; Alina Zare; James Keller 001 (CoRR, 2021)

Histogram Layers for Synthetic Aperture Sonar Imagery. - Joshua Peeples; Alina Zare; Jeffrey Dale; James Keller 001 (ICMLA, 2022)

Learnable Adaptive Cosine Estimator (LACE) for Image Classification. - Joshua Peeples; Connor H. McCurley; Sarah Walker; Dylan Stewart; Alina Zare (WACV, 2022)

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification. - Joshua Peeples; Sarah Walker; Connor H. McCurley; Alina Zare; James Keller 001; Weihuang Xu (IEEE Geosci. Remote. Sens. Lett., 2022)

Histogram Layers for Texture Analysis. - Joshua Peeples; Weihuang Xu; Alina Zare (IEEE Trans. Artif. Intell., 2022)

Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification. - Akshatha Mohan; Joshua Peeples (IGARSS, 2023)

Histogram Layer Time Delay Neural Networks for Passive Sonar Classification. - Jarin Ritu; Ethan Barnes; Riley Martell; Alexandra Van Dine; Joshua Peeples (WASPAA, 2023)

Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis. - Akshatha Mohan; Joshua Peeples (CVPR Workshops, 2024)

Spatial Transformer Network YOLO Model for Agricultural Object Detection. - Yash Vivek Zambre; Ekdev Rajkitkul; Akshatha Mohan; Joshua Peeples (ICMLA, 2024)

Histogram Layers for Neural Engineered Features. - Joshua Peeples; Salim Al Kharsa; Luke Saleh; Alina Zare (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)

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)

Structural and Statistical Audio Texture Knowledge Distillation (SSATKD) for Passive Sonar Classification. - Jarin Ritu; Amirmohammad Mohammadi; Davelle Carreiro; Alexandra Van Dine; Joshua Peeples (CoRR, 2025)

Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition. - Atharva Agashe; Davelle Carreiro; Alexandra Van Dine; Joshua Peeples (CoRR, 2025)

Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery. - Angelina Ibarra; Joshua Peeples (CoRR, 2025)

Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms. - Lucian Chauvin; Somil Gupta; Angelina Ibarra; Joshua Peeples (CoRR, 2025)

Histogram-based Parameter-efficient Tuning for Passive Sonar Classification. - Amirmohammad Mohammadi; Davelle Carreiro; Alexandra Van Dine; Joshua Peeples (CoRR, 2025)