Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

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 …

Sherpa is a hyperparameter optimization library for machine learning models. It is
specifically designed for problems with computationally expensive, iterative function …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

Deep neural networks are now rivaling human accuracy in several pattern recognition
problems. Compared to traditional classifiers, where features are handcrafted, neural …

The area of coordinated and multiple views has been steadily develo** and maturing over
the past fifteen years. Some may say that it is a" solved problem', while others argue that we …

This book explores the study of processing and visually representing data sets. Data
visualization is closely related to information graphics, information visualization, scientific …

The analysis of time-oriented data is an important task in many application scenarios. In
recent years, a variety of techniques for visualizing such data have been published. This …

The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

Timeboxes are rectangular widgets that can be used in direct-manipulation graphical user
interfaces (GUIs) to specify query constraints on time series data sets. Timeboxes are used …