A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis. - Debrup Banerjee; Kazi Aminul Islam; Gang Mei; Lemin Xiao; Guangfan Zhang; Roger Xu; Shuiwang Ji; Jiang Li 001 (ICDM, 2017)

A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge. - Kazi Aminul Islam; Daniel Pérez 002; Jiang Li 001 (IEEE BigData, 2018)

Seagrass Detection in Coastal Water Through Deep Capsule Networks. - Kazi Aminul Islam; Daniel Pérez 002; Victoria Hill; Blake Schaeffer; Richard Zimmerman; Jiang Li 001 (PRCV (2), 2018)

DeepCoast: Quantifying Seagrass Distribution in Coastal Water Through Deep Capsule Networks. - Daniel Pérez 002; Kazi Aminul Islam; Victoria Hill; Richard Zimmerman; Blake Schaeffer; Jiang Li 001 (PRCV (2), 2018)

Seagrass Propeller Scar Detection using Deep Convolutional Neural Network. - Md Reshad Ul Hoque; Kazi Aminul Islam; Daniel Pérez 002; Victoria Hill; Blake Schaeffer; Richard Zimmerman; Jiang Li 001 (UEMCON, 2018)

Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images. - Kazi Aminul Islam; Victoria Hill; Blake A. Schaeffer; Richard Zimmerman; Jiang Li 001 (ICDM, 2019)

Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study. - Roland Burks; Kazi Aminul Islam; Yan Lu 007; Jiang Li 001 (UEMCON, 2019)

A deep transfer learning approach for improved post-traumatic stress disorder diagnosis. - Debrup Banerjee; Kazi Aminul Islam; Keyi Xue; Gang Mei; Lemin Xiao; Guangfan Zhang; Roger Xu; Cai Lei; Shuiwang Ji; Jiang Li 001 (Knowl. Inf. Syst., 2019)

Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas. - Kazi Aminul Islam; Victoria Hill; Blake Schaeffer; Richard Zimmerman; Jiang Li 001 (Data Sci. Eng., 2020)

Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study. - Kazi Aminul Islam; Mohammad Shahabuddin; Chiman Kwan; Jiang Li 001 (Remote. Sens., 2020)

Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models. - Daniel Pérez 002; Kazi Aminul Islam; Victoria Hill; Richard Zimmerman; Blake A. Schaeffer; Yuzhong Shen; Jiang Li 001 (Remote. Sens., 2020)

Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance. - Mohammad Shahabuddin; Md Reshad Ul Hoque; Kazi Aminul Islam; Chiman Kwan; David Gribben; Jiang Li 001 (Remote. Sens., 2021)

Deep Learning Approaches for Seagrass Detection in Multispectral Imagery. - Kazi Aminul Islam (2021)

Development of Trustable Deep Learning Model in Remote Sensing through Explainable-AI Method Selection. - Sumaiya Tasneem; Kazi Aminul Islam (UEMCON, 2023)

Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery. - Victoria Hill; Richard Zimmerman; Paul Bissett; David Kohler; Blake Schaeffer; Megan M. Coffer; Jiang Li 001; Kazi Aminul Islam (Remote. Sens., 2023)

Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer. - Sayyed Farid Ahamed; Kazi Aminul Islam; Sachin Shetty (ICNC, 2024)

SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation. - Sanghoon Lee 007; Kazi Aminul Islam; Sai Chandana Koganti; Varshini Yaganti; Sai Ramya Sri Mamillapalli; Hannah Vitalos; Drew F. K. Williamson (IEEE Access, 2024)

Sub-Band Backdoor Attack in Remote Sensing Imagery. - Kazi Aminul Islam; Hongyi Wu; Chunsheng Xin; Rui Ning; Liuwan Zhu; Jiang Li 001 (Algorithms, 2024)

Improve Adversarial Robustness of AI Models in Remote Sensing via Data-Augmentation and Explainable-AI Methods. - Sumaiya Tasneem; Kazi Aminul Islam (Remote. Sens., 2024)