85 citations · 220 across the 29 of their papers we have counts for
40 papers
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
Haokai Hong, Min Jiang, Qiuzhen Lin +1
We define very large-scale multiobjective optimization problems as optimizing multiple objectives (VLSMOPs) with more than 100,000 decision variables. These problems hold substanti…
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qinglin Li, Bin Li, Jonathan M Garibaldi +1
In supervised deep learning, learning good representations for remote--sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obta…
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity. The proposed method aims to recommend the best FS method from four candida…
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fu…
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, based on a fuzzy entropy feature selection framework, different methods have been implemented and compared to improve the key components of the framework. Those meth…
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
Mina Jafari, Ruizhe Li, Yue Xing +4
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation. It is based on a well-established supervised end-to-end DCNN model,…