Data are today an asset more critical than ever for all organizations we may think of. Recent
advances and trends, such as sensor systems, IoT, cloud computing, and data analytics, are …

Dissimilarity representation is a very interesting alternative for the traditional feature space
representation when addressing large multi-class problems or even problems with a small …

The ability to automatically determine the political orientation of an article can be of great
benefit in many areas from academia to security. However, this problem has been largely …

This article discusses three dimensions of creativity: metaphorical thinking; social
interaction; and going beyond extrapolation in predictions. An overview of applications of …

In this work, we investigate bird species identification starting from audio record-ings on
eight quite challenging subsets taken from the LifeClef 2015 bird task contest database, in …

In this work, we consider the authorship authentication problem, a historical problem in
linguistics that has been made more difficult with the explosion of the Internet and the …

Feature scaling in machine learning is an important step during the pre-processing of data.
Feature scaling in machine learning transforms numeric features of a dataset to improve the …

Purpose The authorship authentication (AA) problem is concerned with correctly attributing a
text document to its corresponding author. Historically, this problem has been the focus of …

Trends in data mining are increasing over the time. Current world is of internet and
everything is available over internet, which leads to criminal and malicious activity. So the …

This paper presents a syntactic approach for the authorship attribution to literary texts. To
this end, syntactic features were used in verification and identification approaches. We used …