Genetic Programming for Bee Audio Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.7778

@InProceedings{DBLP:conf/iciit/ThiPT23,

• author = "Hien Nguyen Thi and Thi-Thu-Hong Phan and Cao Truong Tran",
• title = "Genetic Programming for Bee Audio Classification",
• booktitle = "Proceedings of the 8th International Conference on Intelligent Information Technology, ICIIT 2023",
• pages = "246--250",
• publisher = "ACM",
• year = "2023",
• month = feb # " 24-26",
• address = "Da Nang, Vietnam",
• keywords = "genetic algorithms, genetic programming, Honey bees, Apis mellifera, Parameter setting, Machine learning, Convolutional neural networks, ANN, Audio classification",
• isbn13 = "9781450399616",
• URL = "https://doi.org/10.1145/3591569.3591612",
• DOI = "doi:10.1145/3591569.3591612",
• timestamp = "Fri, 21 Jul 2023 01:00:00 +0200",
• biburl = "https://dblp.org/rec/conf/iciit/ThiPT23.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• size = "5 pages",
• abstract = "Applying machine learning (ML) methods based on audio data recording inside the hive is a promising solution to detect changes in the beehive. We also compare our proposal with the results from a previous study. The experiment results show that with the right configuration of parameters, GP can achieve better results than well-known methods for the task of classifying bee sound samples.",
• notes = "BUZZ2 dataset. RawConvNet LogisticRegression (LR), Random Forest (RF), k-Nearest Neighbour (KNN k=5) SVM with a linear kernel one SVM (OVR), Multilayer Perceptron Classifier (MLP) deep learning (DL)",

}

Genetic Programming entries for Nguyen Thi Hien Thi-Thu-Hong Phan Cao Truong Tran

Citations