Many real-world systems can be studied in terms of pattern recognition tasks, so that proper
use (and understanding) of machine learning methods in practical applications becomes …

Background With the recent advances in computational science, machine-learning methods
have been increasingly used in medical research. Because such projects usually require …

Identifying rumor sources in social networks plays a critical role in limiting the damage
caused by them through the timely quarantine of the sources. However, the temporal …

Huge volumes of textual information has been produced every single day. In order to
organize and understand such large datasets, in recent years, summarization techniques …

Science is becoming increasingly more interdisciplinary, giving rise to more diversity in the
areas of expertise. In such a complex environment, the participation of authors became more …

Complex networks have been found to provide a good representation of knowledge. In this
context, the discovery process can be modeled in terms of a dynamic process such as …

Automatic identification of authorship in disputed documents has benefited from complex
network theory as this approach does not require human expertise or detailed semantic …

Nurses are a key workforce in the international health system, and as such maintaining
optimal working conditions is critical for preserving their well-being and good performance …

New scientific concepts, interpreted broadly, are continuously introduced in the literature, but
relatively few concepts have a long‐term impact on society. The identification of such …

There is evidence about the international competitiveness of Small and Medium Enterprises
having a close relationship with their absorptive capacity and internationalization …