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
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
Federated learning of explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning: Can smartphones reveal when we are tired?
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease
LSTM-CNN: An efficient diagnostic network for Parkinson’s disease utilizing dynamic handwriting analysis
Improving IoT security with explainable AI: quantitative evaluation of explainability for IoT botnet detection
An Efficient Neural Network for the Diagnosis of Parkinson’s Disease Using Dynamic Handwriting Analysis