|
|
|
Xie He, Arash Habibi Lashkari, Nikhill Vombatkere and Dilli Prasad Sharma
Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection...
ver más
|
|
|
|
|
|
|
Robert Gorman
This article investigates the stylometric usefulness of morphosyntactic annotation. Focusing on the style of literary texts, it argues that including morphosyntactic annotation in analyses of style has at least two important advantages: (1) maintaining a...
ver más
|
|
|
|
|
|
|
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Francisco J. Ribadas-Pena and Néstor Bolaños
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are expe...
ver más
|
|
|
|
|
|
|
Tássia Latorraca, Ana Sofia Guimarães and Bárbara Rangel
The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including ...
ver más
|
|
|
|
|
|
|
Lang Jia, Wenjuan Wang, Francis Zvomuya and Hailong He
As one of the basic disciplines of agricultural, natural resource, and environmental science, soil science has played a critical role in global food security and socio-economic and ecological sustainability. The number of soil science journals and public...
ver más
|
|
|
|
|
|
|
Andra Sandu, Liviu-Adrian Cotfas, Aurelia Stanescu and Camelia Delcea
Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in g...
ver más
|
|
|
|
|
|
|
Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact...
ver más
|
|
|
|
|
|
|
Fetoun Mansour AlZahrani and Maha Al-Yahya
Authorship attribution (AA) is a field of natural language processing that aims to attribute text to its author. Although the literature includes several studies on Arabic AA in general, applying AA to classical Arabic texts has not gained similar attent...
ver más
|
|
|
|
|
|
|
Anastasia Fedotova, Aleksandr Romanov, Anna Kurtukova and Alexander Shelupanov
This article is the third paper in a series aimed at the establishment of the authorship of Russian-language texts. This paper considers methods for determining the authorship of classical Russian literary texts, as well as fanfiction texts. The process ...
ver más
|
|
|
|
|
|
|
Aleksandr Romanov, Anna Kurtukova, Anastasia Fedotova and Alexander Shelupanov
This article is part of a series aimed at determining the authorship of source codes. Analyzing binary code is a crucial aspect of cybersecurity, software development, and computer forensics, particularly in identifying malware authors. Any program is ma...
ver más
|
|
|
|