The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

The goal of the paper is to review existing work on consciousness within the frameworks of
Predictive Processing, Active Inference, and Free Energy Principle. The emphasis is put on …

Referential compression is one of the fundamental operations for storing and analyzing DNA
data. The models that incorporate relative compression, a special case of referential …

Abstract We introduce a Maximum Entropy model able to capture the statistics of melodies in
music. The model can be used to generate new melodies that emulate the style of a given …

Abstract Analysis of daily streamflow variability in space and time is important for water
resources planning, development, and management. The natural variability of streamflow is …

Turbulence is often expressed in terms of either irregular or random fluid flows, without
quantification. In this paper, a methodology to evaluate the randomness of the turbulence …

This paper proposes to perform authorship analysis using the Fast Compression Distance
(FCD), a similarity measure based on compression with dictionaries directly extracted from …

Analysis of daily solar irradiation variability and predictability in space and time is important
for energy resources planning, development, and management. The natural variability of …

Adaptation to novelty is viewed as learning to change and augment existing skills to confront
unfamiliar situations. In this paper, we propose that the amount of editing of an effective …

An efficient DNA compressor furnishes an approximation to measure and compare
information quantities present in, between and across DNA sequences, regardless of the …