Control theory | Fluid Mechanics | Turbulence Identifying regions of importance in wall-bounded turbulence through explainable deep learning. May 13, 2024
Medical Imaging | Oncology | Radiology From Pixels to Prognosis: Unveiling Radiomics Models with SHAP and LIME for Enhanced Interpretability. March 18, 2024
Neurology | Psychology SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods. March 7, 2024
Oncology | Radiology DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence. October 28, 2023
Epidemiology | Public Health Interpretable spatial identity neural network-based epidemic prediction. October 24, 2023
Sericulture Explainable deep learning model for automatic mulberry leaf disease classification. October 5, 2023
Pharmacology | Transplantation Artificial Neural Network Analysis of Determinants of Tacrolimus Pharmacokinetics in Liver Transplant Recipients. August 10, 2023
Ophthalmology Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP. June 10, 2023
Artificial Intelligence | Pharmacology Explainability and white box in drug discovery. April 27, 2023
Immunology | Infectious Diseases Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME. April 4, 2023
Mechanical Engineering | Prognostic and Health Management (PHM) Prediction of Technical State of Mechanical Systems Based on Interpretive Neural Network Model. February 28, 2023