IEEE

Multi Label Classification Algorithm Based on Conditional Local Correlations among Labels and Ensemble Learning

Abstract: Multi-Label Classification (MLC) is an advanced form of traditional classification, where each data instance is simultaneously associated with multiple labels. The importance of MLC has ...
GitHub

Multi-Endpoint Toxicity Prediction API for Drug Safety Assessment

MultiEndpointTox is a machine learning-powered REST API for predicting multiple drug toxicity endpoints from molecular structures. It provides interpretable predictions with SHAP explanations, ...
GitHub

TFM Dataset & Benchmark: Automated Tear Film Break-Up Analysis

Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
IEEE

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...