Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

AI2VIS4BigData: A Reference Model for AI-Based Big Data Analysis and Visualization.- A Visual Analytics Technique to Compare the Performance of Predictive Models.- A ective Analytics and Visualization for Ensemble Event-Driven Stock Market Forecasting.- Understanding the Role of (Advanced) Machine Learning in Metagenomic Workflows.- Intelligent Advanced User Interfaces for Monitoring Mental Health Wellbeing.- Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation.- Recognition and Visualization of Facial Expression and Emotion in Healthcare.- Machine Learning in Healthcare: Breast Cancer and Diabetes Cases.- AI2VIS4BigData: Qualitative Evaluation of an AI-based Big Data Analysis and Visualization Reference Model.- Progressive Visualization of Epidemiological Models for COVID-19 Visual Analysis.- An Experience on Cooperative Development of Interactive Visualizations for the Analysis of Urban Data.- Explaining AI Through Critical Reflection Artifacts on the Role of Communication Design Within XAI.- Information Visualization and Visual Analytics at IVU Lab.- Visual Analytics for Financial Crime Detection at the University of Perugia.