Forecasting security-relevant event persistence on Telegram for cyber situational awareness
Synthetic data-driven explainability for federated learning-based intrusion detection system
PointExplainer: towards transparent Parkinson’s disease diagnosis
Comparative evaluation of XAI techniques for CNN interpretation in Parkinson’s drawing test classification
Differentiability of classifier decision surface for evaluating faithfulness in local explanations
Machine learning approaches for event detection and credibility analysis in the digital information environment: a literature review
Towards reliable SHAP explanations for NILM: quantifying information loss under different baselines
A multimodal generative framework for synthetic spiral drawing data in Parkinson’s disease assessment
Interpretable trajectory biomarker analysis of spiral drawings for Parkinson’s disease assessment
Self-interpretable sequential modelling of drawing strategy for neuropsychological assessment
Differentiability of classifier decision surface for evaluating faithfulness in local explanations
Statistical machine learning techniques for wave spectre estimation in coastal seas
Drawing strategies analysis for the embedded figure tests
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification