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Optimizing feature selection and remote sensing classification with an enhanced machine learning method

https://doi.org/10.1007/s11227-024-06790-7

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Grasshopper Optimisation Algorithm: Theory and application

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Survival exploration strategies for Harris Hawks Optimizer

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A hybrid filter-wrapper feature selection using Fuzzy KNN based on Bonferroni mean for medical datasets classification: A COVID-19 case study

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IBMRFO: Improved binary manta ray foraging optimization with chaotic tent map and adaptive somersault factor for feature selection

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Harris hawks optimization: Algorithm and applications

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Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

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An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems

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BEPO: A novel binary emperor penguin optimizer for automatic feature selection

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A dynamic adaptive firefly algorithm with globally orientation

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Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph Constraint

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Triple-attention interaction network for breast tumor classification based on multi-modality images

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Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment

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Efficient Classification of White Blood Cell Leukemia with Improved Swarm Optimization of Deep Features

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Enhancing grasshopper optimization algorithm (GOA) with levy flight for engineering applications

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No free lunch theorems for optimization

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Modified Slime Mould Algorithm via Levy Flight

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Effective Segmentation of Brain Tumors through the GOA Algorithm using Deep Learning

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