GitHub

SMOTE-variants for imbalanced learning

The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Gui-bin Bian

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
GitHub

Vi-bha/Multilabel-Emotion-Classification

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Leveraging deep learning and explainable AI for effective liver tumor classification from CT scan images

Their model achieved 99.1% accuracy for liver tumor classification and 98.6% for brain tumors, outperforming traditional classifiers such as SVM and k-NN. Despite its performance, the study lacked ...
Frontiers

An end-to-end detection and classification model for tea leaf grading in complex orchard environments

). performed key-feature selection via random forest recursive feature elimination (RF-RFE) and constructed a tea classification model using SVM. Nevertheless, such handcrafted features exhibit ...