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 developing 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 …