AIMC Topic: Ensemble Learning

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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 Image Processing, Computer-Assisted Penaeidae Ensemble Learning Animals Deep 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 ...
Signal Processing, Computer-Assisted Machine Learning Humans Palpation Algorithms Ensemble Learning Percussion Fourier Analysis Neural Networks, Computer Support Vector Machine
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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,...
Prognosis Electronic Health Records Female Humans Machine Learning Male Medicine, Chinese Traditional Colitis, Ulcerative Deep Learning Ensemble Learning
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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...
Neural Networks, Computer Machine Learning Electroencephalography Humans Heart Rate Adult Skin Temperature Ensemble Learning Female Male Galvanic Skin Response Young Adult Emotions
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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...
Ensemble Learning Machine Learning Algorithms
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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...
Aged Male Alzheimer Disease Ensemble Learning Electroencephalography Algorithms Female Humans Machine Learning
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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.

BMC bioinformatics Apr 30, 2025
Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative machine learning (ML)-based approaches, holds promise in advancing therapeutic development, optimizing treatment efficacy, and mitigating adverse eff...
Ensemble Learning Receptors, Glucocorticoid Drug Discovery Computational Biology Machine Learning Humans Algorithms
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Prediction of Patient Visits for Skin Diseases through Enhanced Evolutionary Computation and Ensemble Learning.

Journal of medical systems Apr 23, 2025
Skin diseases are an important global public health issue, causing significant health and psychological burdens. Predicting dermatology outpatient visits is essential for optimizing hospital resources and improving diagnosis and treatment methods. Ba...
Humans Acne Vulgaris Neural Networks, Computer Ensemble Learning Algorithms China Machine Learning Skin Diseases
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Research on memory failure prediction based on ensemble learning.

PloS one Apr 23, 2025
Timely prediction of memory failures is crucial for the stable operation of data centers. However, existing methods often rely on a single classifier, which can lead to inaccurate or unstable predictions. To address this, we propose a new ensemble mo...
Memory Humans Algorithms Ensemble Learning Models, Theoretical Machine Learning
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Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets.

Scientific reports Apr 22, 2025
Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagn...
Heart Diseases Humans Ensemble Learning Machine Learning
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