Automatic design of machine learning via evolutionary computation: A survey
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …
knowledge from data, has been widely applied to practical applications, such as …
Induction of decision trees as classification models through metaheuristics
R Rivera-Lopez, J Canul-Reich… - Swarm and Evolutionary …, 2022 - Elsevier
The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …
RECIPE: a grammar-based framework for automatically evolving classification pipelines
Abstract Automatic Machine Learning is a growing area of machine learning that has a
similar objective to the area of hyper-heuristics: to automatically recommend optimized …
similar objective to the area of hyper-heuristics: to automatically recommend optimized …
[HTML][HTML] New optimized deep learning application for COVID-19 detection in chest X-ray images
Due to false negative results of the real-time Reverse Transcriptase-Polymerase Chain
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
Movie genre classification with convolutional neural networks
GS Simões, J Wehrmann, RC Barros… - … Joint Conference on …, 2016 - ieeexplore.ieee.org
Automatic pattern recognition from videos is a high-complexity task, and well-established
Machine Learning algorithms have difficulties in handling it in an efficient and effective …
Machine Learning algorithms have difficulties in handling it in an efficient and effective …
Intelligent decision model of road maintenance based on improved weight random forest algorithm
The routine maintenance and rehabilitation of road pavement is vital to keep up with the
service level and bearing capacity. However, the current problem is that, with the continuous …
service level and bearing capacity. However, the current problem is that, with the continuous …
Towards improving decision tree induction by combining split evaluation measures
O Loyola-González, E Ramírez-Sáyago… - Knowledge-Based …, 2023 - Elsevier
Explainability is essential for users to effectively understand, trust, and manage powerful
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …
[图书][B] Applications of evolutionary computation
G Squillero, P Burelli - 2016 - Springer
This two-volume set contains the proceedings of EvoApplications 2016, the 19th European
Conference on the Applications of Evolutionary Computation, that was held between March …
Conference on the Applications of Evolutionary Computation, that was held between March …
Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms
T Nyathi, N Pillay - Expert Systems with Applications, 2018 - Elsevier
Genetic Programming (GP) is gaining increased attention as an effective method for
inducing classifiers for data classification. However, the manual design of a genetic …
inducing classifiers for data classification. However, the manual design of a genetic …
Recent advances on the machine learning methods in predicting ncRNA-protein interactions
L Zhong, M Zhen, J Sun, Q Zhao - Molecular Genetics and Genomics, 2021 - Springer
Recent transcriptomics and bioinformatics studies have shown that ncRNAs can affect
chromosome structure and gene transcription, participate in the epigenetic regulation, and …
chromosome structure and gene transcription, participate in the epigenetic regulation, and …