Results 21 to 30 of about 6,303,129 (314)
A novel ensemble learning-based model for network intrusion detection
Complex & Intelligent Systems, 2023 The growth of Internet and the services provided by it has been growing exponentially in the past few decades. With such growth, there is also an ever-increasing threat to the security of networks.
Ngamba Thockchom +2 more
semanticscholar +1 more source
A selective evolutionary heterogeneous ensemble algorithm for classifying imbalanced data
Electronic Research Archive, 2023 Learning from imbalanced data is a challenging task, as with this type of data, most conventional supervised learning algorithms tend to favor the majority class, which has significantly more instances than the other classes.
Xiaomeng An, Sen Xu
doaj +1 more source
Algorithms, 2023 Heart disease is a significant global health issue, contributing to high morbidity and mortality rates. Early and accurate heart disease prediction is crucial for effectively preventing and managing the condition. However, this remains a challenging task
Daniyal Asif +3 more
semanticscholar +1 more source
Short-Term Load Forecasting Based on Multi-Scale Ensemble Deep Learning Neural Network
IEEE Access, 2023 High-precision load forecasting is crucial for the power system planning and electricity market transactions. Recently, deep learning models have been widely used due to their powerful data mining capabilities. However, the existing research mainly focus
Qin Shen +5 more
doaj +1 more source
A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Applied Sciences, 2022 Machine learning algorithms are increasingly used in various remote sensing applications due to their ability to identify nonlinear correlations. Ensemble algorithms have been included in many practical applications to improve prediction accuracy.
Yuzhen Zhang, Jingjing Liu, W. Shen
semanticscholar +1 more source
Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security
Italian National Conference on Sensors, 2023 The Internet of Things (IoT) comprises a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols.
Yazeed Alotaibi, Mohammad Ilyas
semanticscholar +1 more source
An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks [PDF]
IEEE Access, 2022 Novel and high-performance medical image classification pipelines are heavily utilizing ensemble learning strategies. The idea of ensemble learning is to assemble diverse models or multiple predictions and, thus, boost prediction performance. However, it
D. Müller, Iñaki Soto-Rey, F. Kramer
semanticscholar +1 more source
A review on rainfall forecasting using ensemble learning techniques
e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023 Significant challenges to human health and life have arisen as a result of heavy rains. Floods and other natural disasters that affect people all over the world every year are caused by prolonged periods of heavy rainfall. Predictions of rainfall must be
Saranagata Kundu +5 more
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IEEE Access, 2023 Deep learning has significantly aided current advancements in artificial intelligence. Deep learning techniques have significantly outperformed more than typical machine learning approaches, in various fields like Computer Vision, Natural Language ...
Deep R. Kothadiya +4 more
semanticscholar +1 more source
Analysis of ensemble learning using simple perceptrons based on online learning theory [PDF]
, 2004 Ensemble learning of $K$ nonlinear perceptrons, which determine their outputs by sign functions, is discussed within the framework of online learning and statistical mechanics.
A. Engel +9 more
core +2 more sources