Temperature Dependence of Avalanche Breakdown of AlGaAsSb and AlInAsSb Avalan…
Digital alloy Al 0.85 Ga 0.15 As 0.56 Sb 0.44 , random alloy Al 0.85 Ga 0.15 As 0.56 Sb 0.44 , and random alloy Al 0.79 In 0.21 As 0.74 Sb 0.26 are promising candidates for the multiplication regio…
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjectiv…
Feature selection is to reduce both the dimensionality of data and the classification error rate (i.e., increase the classification accuracy) of a learning algorithm. The two objectives are often c…
BenchENAS : A Benchmarking Platform for Evolutionary Neural Architecture Search
Neural architecture search (NAS), which automatically designs the architectures of deep neural networks, has achieved breakthrough success over many applications in the past few years. Among differ…
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: …
Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyze and understand th…
Correlation-Guided Updating Strategy for Feature Selection in Classification …
Classification data are usually represented by many features, but not all of them are useful. Without domain knowledge, it is challenging to determine which features are useful. Feature selection i…
Investigating the Correlation Amongst the Objective and Constraints in Gaussi…
Expensive constrained optimization refers to problems where the calculation of the objective and/or constraint functions are computationally intensive due to the involvement of complex physical exp…
Genetic Programming With Image-Related Operators and a Flexible Program Struc…
Feature extraction is essential for solving image classification by transforming low-level pixel values into high-level features. However, extracting effective features from images is challenging d…
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming f…
Cost-sensitive learning is a popular approach to addressing the problem of class imbalance for many classification algorithms in machine learning. However, most cost-sensitive algorithms are depend…
Genetic Programming for Manifold Learning: Preserving Local Topology
Manifold learning (MaL) methods are an invaluable tool in today’s world of increasingly huge datasets. MaL algorithms can discover a much lower-dimensional representation (embedding) of a high-di…
Impact Ionization Coefficients of Digital Alloy and Random Alloy Al0.85Ga0.15…
Digital alloy and random alloy Al 0.85 Ga 0.15 As 0.56 Sb 0.44 avalanche photodiodes (APDs) exhibit low excess noise, comparable to Si APDs. Consequently, this material is a promising multiplicatio…
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