Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling.
IEEE Access, 2025
Enhancing Few-Shot Video Anomaly Detection with Key-Frame Selection and Relational Cross Transformers.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data.
CoRR, 2023
Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19.
CoRR, 2021
A Multi-Branch Deep Learning Network for Automated Detection of COVID-19.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images.
Multim. Tools Appl., 2020
Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough.
CoRR, 2020
Arabic text clustering using improved clustering algorithms with dimensionality reduction.
Clust. Comput., 2019
Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation.
IEEE Trans. Medical Imaging, 2017
Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization.
J. Medical Syst., 2017
Machine Learning Methods for Brain Image Analysis.
PhD thesis, 2016
Deep models for brain EM image segmentation: novel insights and improved performance.
Bioinform., 2016
Global analysis of gene expression and projection target correlations in the mouse brain.
Brain Informatics, 2015
Leveraging Traceability to Reveal the Tapestry of Quality Concerns in Source Code.
Proceedings of the 8th IEEE/ACM International Symposium on Software and Systems Traceability, 2015
Integrative analysis of the connectivity and gene expression atlases in the mouse brain.
NeuroImage, 2014
Archie: a tool for detecting, monitoring, and preserving architecturally significant code.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014