A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs?
Python implementation of BGSR. BGSR is a method using functional brain data with the aim to boost neurological disorder diagnosis. It learns how to generate high-resolution (HR) graphs from low-resolution (LR) graphs without resorting to the computationally expensive image processing pipelines for connectome construction at high-resolution scales.
CL-MOEEL: Closed-loop Multiobjective Evolutionary Ensemble Learning
Very large scale classification based on K-Means clustering & Multi-Kernel SVM(SimpleMKL), Soft Computing article, June 2019, https://dl.acm.org/doi/abs/10.1007/s00500-018-3041-0
In this project, I was required to develop a machine learning or deep learning model that predicts whether a peptide has antimicrobial activity based on its amino acid sequence.
CL-MOEEL: Closed-loop Multiobjective Evolutionary Ensemble Learning
Identify non-coding RNA subcellular localization via graph regularized k-local hyperplane distance nearest neighbor model on multi-kernel learning.
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