Tag: Integrated Gradients

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...

A 0.15-million-parameter attention-equipped neural network classifies nine wafer-map defect types with 99.88 percent accuracy on a CPU, combining latent-space augmentation ...

A new multimodal transformer-CNN model called InfoMedex predicts 168 types of drug-drug interactions from molecular structure and uses atom-level attribution ...

A new risk-calibrated tabular Transformer achieves state-of-the-art Alzheimer's disease staging while calibrating its confidence and abstaining on uncertain cases.

Researchers have unveiled Hydra, an interpretable ensemble deep learning framework that jointly performs feature selection and cell type annotation across ...

A new six-stage computational framework called Protein Expression Net converts plasma proteomic ageing signatures from UK Biobank data into prioritized, ...