Kazi Aminul Islam
Title
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Cited by
Year
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
JL Debrup Banerjee, Kazi Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan ...
Knowledge and Information Systems 60 (3), 1693-1724, 2019
472019
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
D Banerjee, K Islam, G Mei, L Xiao, G Zhang, R Xu, S Ji, J Li
2017 IEEE International Conference on Data Mining (ICDM), 11-20, 2017
472017
Seagrass detection in coastal water through deep capsule networks
KA Islam, D Perez, V Hill, B Schaeffer, R Zimmerman, J Li
Chinese Conference on Pattern Recognition and Computer Vision, Sun-Yat Sen …, 2018
232018
Detection of seagrass scars using sparse coding and morphological filter
E Oguslu, K Islam, D Perez, VJ Hill, WP Bissett, RC Zimmerman, J Li
Remote Sensing of Environment 213, 92-103, 2018
102018
Deepcoast: Quantifying seagrass distribution in coastal water through deep capsule networks
D Pérez, K Islam, V Hill, R Zimmerman, B Schaeffer, J Li
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 404-416, 2018
92018
Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study
R Burks III, KA Islam, LI Jiang, Y Lu
52019
A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge
KA Islam, D Perez, J Li
2018 IEEE International Conference on Big Data (Big Data), 2018
52018
Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models
D Perez, K Islam, V Hill, R Zimmerman, B Schaeffer, Y Shen, J Li
Remote Sensing 12 (10), 1581, 2020
42020
Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images
KA Islam, V Hill, B Schaeffer, R Zimmerman, J Li
IEEE ICDM, 2019
42019
Independent Component Analysis for EOG Artifacts Minimization of EEG Signals Using Kutosis as a Threshold
KA Islam
Lamar University, 2016
42016
Independent Component Analysis for EOG artifacts minimization of EEG signals using kurtosis as a threshold
KA Islam, GV Tcheslavski
2015 2nd International Conference on Electrical Information and …, 2015
42015
Semi‑supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas
KA Islam, V Hill, B Schaeffer, R Zimmerman, J Li
Data Science and Engineering (DSE), 2020
32020
Seagrass Propeller Scar Detection using Deep Convolutional Neural Network
MRU Hoque, KA Islam, D Perez, V Hill, B Schaeffer, R Zimmermanan, J Li
Proceedings of the IEEE Ubiquitous Computing, Electronics & Mobile …, 2018
32018
Performance across WorldView-2 and RapidEye for reproducible seagrass mapping
MM Coffer, BA Schaeffer, RC Zimmerman, V Hill, J Li, KA Islam, ...
Remote Sensing of Environment 250, 112036, 2020
22020
Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study
KA Islam, MS Uddin, C Kwan, J Li
Remote Sensing 12 (15), 2455, 2020
22020
On Use of Independent Component Analysis for Ocular Artifacts Reduction of Electroencephalogram and while Using Kurtosis as the Threshold
KA Islam, G Tcheslavski
International Journal Bioautomation 21 (3), 251, 2017
22017
Rapid quantification of biofouling with an inexpensive, underwater camera and image analysis
MR First, SC Riley, KA Islam, V Hill, J Li, RC Zimmerman, LA Drake
Management of Biological Invasions 12, 2021
2021
Carbon Flux and Blue Carbon Potential of Seagrass Ecosystems in the Anthropocene
RC Zimmerman, MH Long, D Burdige, VJ Hill, B Collister, KA Islam, J Li, ...
Ocean Sciences Meeting 2020, 2020
2020
Quantitative remote sensing of seagrass distribution and density using high spatial resolution multispectral imagery
VJ Hill, RC Zimmerman, B Schaeffer, M Coffer, J Li, K Islam, D Perez
2019 CERF Biennial Conference, 2019
2019
Band Selection in Multispectral Images for Seagrass Detection Using Deep Convolutional Neural Network
KA Islam, D Perez, V Hill, B Schaeffer, R Zimmerman, J Li
MSVSCC 2019, 2019
2019
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