AIMC Topic: Ensemble Learning

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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PloS one Jul 21, 2025
The dynamical growth of cyber threats in IoT setting requires smart and scalable intrusion detection systems. In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select ...
Machine Learning Internet of Things Algorithms Humans Computer Security Ensemble Learning
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Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.

BMC oral health Jul 17, 2025
BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intellig...
Male Neural Networks, Computer Dental Plaque Child, Preschool Machine Learning Metagenomics Female Humans Child Ensemble Learning Saliva Microbiota RNA, Ribosomal, 16S Dental Caries
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Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.

Journal of medical Internet research Jul 14, 2025
BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, including medical question-answering (QA). However, individual LLMs often exhibit varying performance across different medical QA...
Machine Learning Natural Language Processing Large Language Models Humans Ensemble Learning
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Deep ensemble learning with transformer models for enhanced Alzheimer's disease detection.

Scientific reports Jul 9, 2025
The progression of Alzheimer's disease is relentless, leading to a worsening of mental faculties over time. Currently, there is no remedy for this illness. Accurate detection and prompt intervention are pivotal in mitigating the progression of the di...
Neural Networks, Computer Biomarkers Deep Learning Humans Ensemble Learning Alzheimer Disease
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.

Scientific reports Jul 2, 2025
Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of l...
Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Animals Penaeidae Ensemble Learning
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Percussion Support Vector Machine Signal Processing, Computer-Assisted Algorithms Ensemble Learning Humans Palpation Neural Networks, Computer Fourier Analysis Machine Learning
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Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.

Scientific reports Jul 1, 2025
In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, bringing a heavy burden to healthcare systems. Traditional Chinese Medicine (TCM) stands out for its cost-effective and efficient treatment modalities,...
Ensemble Learning Female Male Medicine, Chinese Traditional Colitis, Ulcerative Machine Learning Deep Learning Prognosis Humans Electronic Health Records
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Emotion recognition with multiple physiological parameters based on ensemble learning.

Scientific reports Jun 6, 2025
Emotion recognition is a key research area in artificial intelligence, playing a critical role in enhancing human-computer interaction and optimizing user experience design. This study explores the application and effectiveness of ensemble learning m...
Galvanic Skin Response Adult Skin Temperature Machine Learning Male Female Emotions Electroencephalography Humans Ensemble Learning Young Adult Heart Rate Neural Networks, Computer
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An innovative machine learning approach for slope stability prediction by combining shap interpretability and stacking ensemble learning.

Environmental science and pollution research international May 7, 2025
Accurate slope stability prediction is crucial for mitigating slope failures, but conventional methods are challenging due to their complexity and high data requirements. To overcome these limitations, researchers have used machine learning (ML) tech...
Machine Learning Algorithms Ensemble Learning
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Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.

Sensors (Basel, Switzerland) May 2, 2025
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning algorithms to obtain predicted values, aims to achieve better predictive performance than a single learning algorithm alone. Machine learning techniqu...
Alzheimer Disease Humans Ensemble Learning Machine Learning Aged Algorithms Male Female Electroencephalography
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