2026-03-11 Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection
2026-03-05 An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction
2026-02-24 Explainable active reinforcement deep learning improves lung cancer detection from CT images
2026-02-18 Adaptive example selection for prototype based explainable mitosis detection in digital pathology
2026-02-18 Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction
2026-02-18 Opening the black box: explainable AI for automated bioturbation analysis in cores and outcrops
2026-02-17 Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI)
2026-02-16 An intelligent healthcare framework for hepatocellular carcinoma diagnosis based on aggregated learners from biomedical data utilising explainable artificial intelligence
2026-02-13 Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis
2026-02-12 Integrating machine learning and explainable AI for employee attrition prediction in HR analytics
2026-02-11 A lightweight hybrid CNN and transformer model for medicinal leaf disease classification with explainable AI
2026-02-10 Alzheimer’s disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data
2026-02-10 Class-attention pooling and token sparsity based vision transformers for chest X-ray interpretation
2026-02-09 MM-GradCAM: an improved multimodal GradCAM method with 1D and 2D ECG data for detection of cardiac arrhythmia
2026-02-07 Exploring CHO cell stability during prolonged passaging via eXplainable AI driven flux balance analysis
2026-02-06 A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories
2026-02-04 Sustainable and interpretable heart disease prediction: a clinical decision support approach for biomedical healthcare applications
2026-02-04 Explainable attention based few shot LSTM for intrusion detection in imbalanced cyber physical system networks
2026-02-03 An explainable hybrid CNN–transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation
2026-02-02 Explainable multi-modal approach for uncovering key predictors of stroke-risk from ECG, EMG, blood pressure, and respiratory signals
2026-01-31 SSG–CAM: enhancing visual interpretability through refined second-order gradients and evolutionary multi-layer fusion
2026-01-30 Bridging idealized and operational models: an explainable AI framework for Earth system emulators
2026-01-29 Satellite-based oil spill detection using an explainable ViR-SC hybrid deep learning ensemble for improved accuracy and transparency
2026-01-28 Electricity price forecasting with ensemble meta-models and SHAP explainers: a PCA-driven approach
2026-01-24 Sickle cell disease detection in low-resource conditions using transfer-learning and contrastive-learning coupled with XAI
2026-01-15 Interpreting artificial neural network-based modeling of 4 H-SiC mosfets using explainable AI
2026-01-14 Optimizing sepsis mortality prediction using hybrid federated learning and explainable AI framework
2026-01-13 From data to decisions: the use of explainable AI to forecast soybean yield in major producing countries
2026-01-09 Temperature trend prediction with explainable artificial intelligence and PCA based machine learning: a case study of Zonguldak, Turkey
2026-01-09 Nonlinear effects of the built environment on urban vitality in Jinan based on multi-source data and explainable AI