State of the art of visual analytics for explainable deep learning
The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …
their computational costs are becoming increasingly widespread in many domains. Deep …
Visualization and visual analytics approaches for image and video datasets: A survey
Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …
applications in different domains such as security surveillance, healthcare, augmented and …
explAIner: A visual analytics framework for interactive and explainable machine learning
We propose a framework for interactive and explainable machine learning that enables
users to (1) understand machine learning models;(2) diagnose model limitations using …
users to (1) understand machine learning models;(2) diagnose model limitations using …
Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor
Analyzing and extracting insights from user-generated data has become a topic of interest
among businesses and research groups because such data contains valuable information …
among businesses and research groups because such data contains valuable information …
Multidimensional projection for visual analytics: Linking techniques with distortions, tasks, and layout enrichment
Visual analysis of multidimensional data requires expressive and effective ways to reduce
data dimensionality to encode them visually. Multidimensional projections (MDP) figure …
data dimensionality to encode them visually. Multidimensional projections (MDP) figure …
VLAT: Development of a Visualization Literacy Assessment Test
The Information Visualization community has begun to pay attention to visualization literacy;
however, researchers still lack instruments for measuring the visualization literacy of users …
however, researchers still lack instruments for measuring the visualization literacy of users …
The state of the art in integrating machine learning into visual analytics
Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …
interactive data visualization to promote sensemaking and analytical reasoning. It is through …
The role of uncertainty, awareness, and trust in visual analytics
Visual analytics supports humans in generating knowledge from large and often complex
datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the …
datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the …
Visual interaction with dimensionality reduction: A structured literature analysis
Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data.
For DR techniques to be useful in exploratory data analysis, they need to be adapted to …
For DR techniques to be useful in exploratory data analysis, they need to be adapted to …
Characterizing guidance in visual analytics
Visual analytics (VA) is typically applied in scenarios where complex data has to be
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …