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Found 6 papers, 0 papers with code
A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
A fuzzy set theory determines appropriate levels of exploration and exploitation while managing parameterisation and computational costs.
A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls
In earthquake-prone zones, the seismic performance of reinforced concrete cantilever (RCC) retaining walls is significant.
Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification
In recent years, deep Convolutional Neural Networks (CNNs) have shown great potential in malware classification.
Ranked #1 on
Malware Classification
on Microsoft Malware Classification Challenge
(Accuracy metric)
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Malicious web domains represent a big threat to web users' privacy and security.
Deep Learning for Human Affect Recognition: Insights and New Developments
Reviewing a subset of 233 studies that employ deep neural networks, we comprehensively quantify their applications in this field.
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue
Practical implications: This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains, but also provides an effective resampling approach for handling the class imbal-ance issue in the area of malicious web domain identification.
