Tag: Explainable AI

Researchers at Fayoum University show that a simple averaged ensemble of machine learning models, evaluated on the OhioT1DM dataset with ...

A qualitative study of eighteen ICU physicians, nurses, and managers reveals that workflow integration, explainable predictions, and leadership support will ...

Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

Researchers have developed a hybrid deep learning architecture combining graph neural networks, Transformers, and variational autoencoders to detect and explain ...

A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...

A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...

A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...

An explainable machine learning analysis of 2,612 S&P 1500 firm-year observations finds that company size is the dominant predictor of ...

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...

Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...

A new CNN–LSTM–attention framework combines SHAP explainability and Marabou formal verification to deliver reliable, interpretable injury risk prediction from physiological ...

A new study combines graph neural networks with explainable AI to map how Laotian migrant workers in Bangkok build and ...

Researchers built an explainable random survival forest model that predicts overall and cancer-specific survival in postoperative gastrointestinal stromal tumor patients, ...

A new graph-based framework translates RNA sequences into physicochemical interaction graphs, delivering interpretable subcellular localization predictions with just 2.05 million ...

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...

A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...

In an era marked by unprecedented access to information, the surge of digital media has brought to light a significant ...