PNAS

DeepDegradome: A structure-aware deep learning framework for PROTAC and ligand generation against protein targets

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...
IEEE

Nested Stacking TSK Fuzzy Classifier by Additive-Rule-Decomposition & Anti-Noisy-Labeling Based Learning on Large-Scale Noisy Labeling Data

Abstract: This study explores how to develop a novel deep stacking Takagi–Sugeno–Kang (TSK) fuzzy classifier to efficiently realize interpretable classification for large-scale multi-class complex ...
IEEE

LapGraph-CutFS: A Deep Learning-Based Framework for Multi-Class Classification of Maize Leaf Pests, Diseases, and Healthy States

Abstract: Monitoring crop health is a critical component of sustainable agriculture, enabling the early detection and effective management of pests and diseases. We propose LapGraph-CutFS, a ...