A. F. M. Shahab Uddin

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin et al. · arXiv (Cornell University) · 2020 · 92 citations · Full text

Computing, Computer Science, Computer Vision +14

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning

Teerath Kumar, Jin‐Bae Park, Muhammad Salman Ali et al. · IEEE Access · 2021 · 34 citations · Full text

Computing, Computer Engineering, Computer Science +14

Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration

Md. Mehedi Hasan, Touficur Rahman, A. F. M. Shahab Uddin et al. · Agriculture · 2023 · 32 citations · Full text

Agriculture, Computer Science, Crop Sciences +17

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation

Youmin Kim, A. F. M. Shahab Uddin, Sung‐Ho Bae · IEEE Access · 2021 · 21 citations · Full text

Computing, Computer Science, Computer Vision +8

Machine Learning and Image Processing Techniques for Rice Disease Detection: A Critical Analysis

Md. Mehedi Hasan, A. F. M. Shahab Uddin, Mostafijur Rahman Akhond et al. · International Journal of Plant Biology · 2023 · 15 citations · Full text

Agriculture, Computer Science, Crop Sciences +13