Recently artificial intelligence (AI) and machine learning (ML) models have demonstrated
remarkable progress with applications developed in various domains. It is also increasingly …

We propose a method for detecting and describing features of faces using deformable
templates. The feature of interest, an eye for example, is described by a parameterized …

Scripts are widely used to design and run scientific experiments. Scripting languages are
easy to learn and use, and they allow complex tasks to be specified and executed in fewer …

Until not long ago, manually capturing and storing provenance from scientific experiments
were constant concerns for scientists. With the advent of computational experiments …

Provenance is recognized as a central challenge to establish the reliability and provide
security in computational systems. In scientific workflows, provenance is considered …

Game Provenance has been proposed and employed for Game Analytics tasks as they
capture game session data in detail and allow exploratory analysis and visualizations …

Provenance has become increasingly relevant to understanding, auditing, and reproducing
computational tasks. The provenance analysis processes can often be overwhelming to the …

Introduction Data provenance, which documents the origin, history, and transformations of
data, can enhance the reproducibility of processing workflows and help to address errors …

The outcome of a game session is derived from a series of events, decisions, and
interactions that are made during the game. Many processes and techniques have been …

To foster data sharing and reuse across organizational boundaries, provenance tracking is
of vital importance for the establishment of trust and accountability, especially in industrial …