18 citations · 52 across the 8 of their papers we have counts for
8 papers
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen, Sachith Seneviratne, Xinye Wanyan +1
In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to fores…
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan, Sachith Seneviratne, Shuchang Shen +1
Since large number of high-quality remote sensing images are readily accessible, exploiting the corpus of images with less manual annotation draws increasing attention. Self-superv…
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems
Daniel Herring, Michael Kirley, Xin Yao
Dynamic multi-objective optimization problems (DMOPs) are widely accepted to be more challenging than stationary problems due to the time-dependent nature of the objective function…
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
Multi-objective optimization problems with constraints (CMOPs) are generally considered more challenging than those without constraints. This in part can be attributed to the creat…
Machine learning with incomplete datasets using multi-objective optimization models
Hadi A. Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning techniques have been developed to learn from complete data. When missing values exist in a dataset, the incomplete data should be preprocessed separately by removi…
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Yuan Sun, Sheng Wang, Yunzhuang Shen +3
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines machine learning (ML) and ant colony optimization (ACO) to solve combinatorial optimization problems. To ill…