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 …

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 …

Designing a complete visualization system involves many subtle decisions. When designing
a complex, real-world visualization system, such decisions involve many types of …

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 …

Categorical data dimensions appear in many real-world data sets, but few visualization
methods exist that properly deal with them. Parallel Sets are a new method for the …