Adding Quaternion Representations to Attention Networks for Classification. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2021)

Deep Separable Hypercomplex Networks. - Nazmul Shahadat; Anthony S. Maida (FLAIRS, 2023)

Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

Deep Axial Hypercomplex Networks. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

Deep Residual Axial Networks. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks. - Nazmul Shahadat (FLAIRS, 2024)

Improving Axial-Attention Network via Cross-Channel Weight Sharing. - Nazmul Shahadat; Anthony S. Maida (FLAIRS, 2024)

Deep Residual 1-Dimensional Convolutional Neural Networks in Vision. - Nazmul Shahadat; Anthony S. Maida (ICPR (22), 2024)

Squeeze and Hypercomplex Networks on Leaf Disease Detection. - Nazmul Shahadat; Anh Nguyen; Ritika Lama (ICPR (25), 2024)

Cross channel weight sharing for image classification. - Nazmul Shahadat; Anthony S. Maida (Image Vis. Comput., 2024)

Enhanced Feature Selectivity in MobileNetV2 for Skin Cancer Detection through Scaled Dot-Product Attention. - Omar Gasmann; Nazmul Shahadat (FLAIRS, 2025)

Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications. - Nazmul Shahadat; Shleshma Regmi; Anup Rijal (FLAIRS, 2025)