There are no reviews yet. Be the first to send feedback to the community and the maintainers!
PSO-FS
Particle Swarm Optimisation for Feature SelectionDeep-FS
Deep-Feature SelectionGA-FS
Genetic Algorithm for Feature SelectionadaboostCNN
Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.EBCS-FS
Extended Binary Cuckoo Search for Feature SelectionACO-FS
ACO Feature SelectionDeepLearningTutorials
Deep Learning Tutorials in ColabEnsembleVoltageStability
On-line voltage stability monitoring using an Ensemble AdaBoost classifierTAGA
TAGA: Tabu Asexual Genetic Algorithm Embedded in a Filter/Filter Feature Selection Approach for High-dimensional DataCalcStatPowerInPy
ClanBasedCulturalAlgorithFS
Clan-based Cultural Algorithm for Feature SelectionDeepGesture
Hand gesture recognition using an adapted convolutional neural network with data augmentationSleepStageCNN
Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage ClassificationNeuro-FuzzyPCaPlosOne
Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy ModelAIethics
AI ethics sources of infoGeneralisationPowerAnalysis
Generalisation Power Analysis for finding a stable set of features using evolutionary computation feature selection algorithmsIEEE_Access_mHealth
Python code for the paper entitled "Feature Extraction and Classification using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data", IEEE AccessLove Open Source and this site? Check out how you can help us