Kazi Aminul Islam

According to our database, Kazi Aminul Islam authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

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, Kazi Aminul Islam

Remote. Sens., October, 2023

Development of Trustable Deep Learning Model in Remote Sensing through Explainable-AI Method Selection.

Sumaiya Tasneem, Kazi Aminul Islam

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

2021

Deep Learning Approaches for Seagrass Detection in Multispectral Imagery.

Kazi Aminul Islam

PhD thesis, 2021

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

Remote. Sens., 2021

2020

Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models.

Daniel Pérez, Kazi Aminul Islam, Victoria Hill, Richard Zimmerman, Blake A. Schaeffer, Yuzhong Shen, Jiang Li

Remote. Sens., 2020

Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study.

Kazi Aminul Islam, Mohammad Shahabuddin, Chiman Kwan, Jiang Li

Remote. Sens., 2020

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

Data Sci. Eng., 2020

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

Knowl. Inf. Syst., 2019

Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study.

Roland Burks, Kazi Aminul Islam, Yan Lu, Jiang Li

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images.

Kazi Aminul Islam, Victoria Hill, Blake A. Schaeffer, Richard Zimmerman, Jiang Li

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Seagrass Propeller Scar Detection using Deep Convolutional Neural Network.

Md Reshad Ul Hoque, Kazi Aminul Islam, Daniel Pérez, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li

Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

DeepCoast: Quantifying Seagrass Distribution in Coastal Water Through Deep Capsule Networks.

Daniel Pérez, Kazi Aminul Islam, Victoria Hill, Richard Zimmerman, Blake Schaeffer, Jiang Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Seagrass Detection in Coastal Water Through Deep Capsule Networks.

Kazi Aminul Islam, Daniel Pérez, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge.

Kazi Aminul Islam, Daniel Pérez, Jiang Li

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

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

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017