Artificial Intelligence | Epidemiology Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic. July 27, 2024
Neurology | Oncology | Radiology An XAI-Enhanced EfficientNetB0 Framework for Precision Brain Tumor Detection in MRI Imaging. July 22, 2024
Other The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods. July 18, 2024
Biomedical Engineering | Computer Science | Neurology Optimizing motor imagery BCI models with hard trials removal and model refinement. May 23, 2024
Artificial Intelligence | Dermatology | Epidemiology Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study. March 28, 2024
Artificial Intelligence | Neurology | Sleep Medicine Enhancing OSA Assessment with Explainable AI. December 12, 2023
Bioinformatics | Oncology XLR-Net: Explainable AI-driven improved L-regularized deep neural architecture for NSCLC biomarker identification. November 24, 2023
Pathology | Radiology A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging. November 17, 2023
Bioinformatics | Oncology | Pathology Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning. October 22, 2023
Agriculture | Computer Science | Plant Biology Explainable deep learning in plant phenotyping. October 5, 2023
Environmental Science | Pollution Forecasting Explainable sequence-to-sequence GRU neural network for pollution forecasting. June 19, 2023