Segui
Kazi Aminul Islam
Kazi Aminul Islam
Assistant Professor of CS, Kennesaw State University
Email verificata su kennesaw.edu - Home page
Titolo
Citata da
Citata da
Anno
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
1052019
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
1052017
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
382020
Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study
R Burks III, KA Islam, LI Jiang, Y Lu
36*2019
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
342018
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
282020
Temporal stability of seagrass extent, leaf area, and carbon storage in St. Joseph Bay, Florida: a semi-automated remote sensing analysis
MC Lebrasse, BA Schaeffer, MM Coffer, PJ Whitman, RC Zimmerman, ...
Estuaries and Coasts 45 (7), 2082-2101, 2022
212022
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
192018
Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance
MS Uddin, R Hoque, KA Islam, C Kwan, D Gribben, J Li
Remote Sensing 13 (16), 3257, 2021
182021
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
172020
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
162020
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
162018
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
142018
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 (3), 2021
102021
Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images
KA Islam, V Hill, B Schaeffer, R Zimmerman, J Li
IEEE ICDM, 2019
92019
Independent Component Analysis for EOG Artifacts Minimization of EEG Signals Using Kutosis as a Threshold
KA Islam
Lamar University, 2016
82016
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
82015
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
52018
Deep Learning Approaches for Seagrass Detection in Multispectral Imagery
KA Islam
Old Dominion University, 2021
22021
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), 2017
22017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20