AIMC Topic: Extreme Learning Machines

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Compressed Representation of Extreme Learning Machine with Self-Diffusion Graph Denoising Applied for Dissecting Molecular Heterogeneity.

Journal of computational biology : a journal of computational molecular cell biology Mar 19, 2025
Molecular heterogeneity exists in many biological systems, such as major malignancies or diverse cell populations. Clustering of gene expression profiles has been widely used to dissect molecular heterogeneity. One drawback common to most clustering ...
Humans Machine Learning Algorithms Neoplasms Gene Expression Profiling Computational Biology Cluster Analysis Extreme Learning Machines
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Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach.

Journal of environmental management Mar 17, 2025
Suspended sediment load (SSL) refers to sediment particles, such as silt and clay, that are suspended in water. It plays a critical role in hydrology and water quality management, influencing factors such as water quality, river erosion, sedimentatio...
Machine Learning Environmental Monitoring Water Quality Rivers Geologic Sediments Extreme Learning Machines
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Variational mode decomposition unfolded extreme learning machine for spectral quantitative analysis of complex samples.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 5, 2025
Considering the advantages of variational mode decomposition (VMD) in mathematical decomposition and extreme learning machine (ELM) in data modeling, a new regression model named variational mode decomposition unfolded extreme learning machine (VMD-U...
Humans Machine Learning Least-Squares Analysis Hemoglobins Spectrum Analysis Panax notoginseng Extreme Learning Machines
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A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine.

Scientific reports May 28, 2025
Chronic obstructive pulmonary disease (COPD) is considered to be one of the most commonly occurring respiratory disorders and is proliferating at an extremely high rate in the recent years. The proposed system aims to classify the various stages of C...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Lung Extreme Learning Machines
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