With the widespread uptake of two-dimensional (2D) and three-dimensional (3D) single-molecule
localization microscopy (SMLM), a large set of different data analysis packages have …

Traffic flow classification to identify applications and activity of users is widely studied both
to understand privacy threats and to support network functions such as usage policies and …

Traffic flow classification to identify applications and activity of users is widely studied both
to understand privacy threats and to support network functions such as usage policies and …

Single molecule localisation (SML) microscopy is a fundamental tool for biological discoveries;
it provides sub-diffraction spatial resolution images by detecting and localizing “all” the …

Passive probes continuously generate statistics on large number of metrics, that are possibly
represented as probability mass functions (pmf). The need for consolidation of several pmfs …

Subjective Video Quality Assessment (VQA) is typically based on video stimuli without
sound, for studying pure visual quality perception. This silent approach to VQA does not …

In the version of this paper originally published, Figure 4a contained errors that were
introduced during typesetting. The bottom 11 ThunderSTORM image is an xz view but was …

This paper investigates whether a frequency-domain model of complexity can accurately
predict human visual salience maps. The Sencogi model uses the frequency domain to …

Passive probes continuously collect a significant amount of traffic volume, and autonomously
generate statistics on a large number of metrics. A common statistical output of passive …

This paper introduces a novel system for the analysis of superresolution microscopy images
using a learning based approach boosting performance and simplicity of use. Key …