Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications -
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Présentation Advanced Visual Interfaces. Supporting Artificial Intelligence And Big Data Applications Format Broché
- Livre InformatiqueEditeur : Springer International PublishingLangue : AnglaisParution : 01/02/2021Format : Moyen, de 350g à 1kgNombre de pages : 216Expédition : 335Dimensions : 23.5 x 15.5 x 1.2 ...
Résumé :
This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.
Biographie:
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Sommaire:
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. ...
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