Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

In this work, we present a study that traces the technical and cognitive processes in two
visual analytics applications to a common theoretic model of soft knowledge that may be …

In this paper, we present an abstract model of visualization and inference processes, and
describe an information-theoretic measure for optimizing such processes. In order to obtain …

Emotions play a key role in human communication and public presentations. Human
emotions are usually expressed through multiple modalities. Therefore, exploring …

The effort for combating the COVID-19 pandemic around the world has resulted in a huge
amount of data, eg, from testing, contact tracing, modelling, treatment, vaccine trials, and …

Automatic facial expression analysis aims to analyse human facial expressions and classify
them into discrete categories. Methods based on existing work are reliant on extracting …