A model of policing strategy choice: The integration of the Latent Dirichlet Allocation (LDA) method with ELECTRE I

MP Basilio, GS Brum, V Pereira - Journal of Modelling in Management, 2020 - emerald.com
Purpose The purpose of this paper is to develop a method for the discovery of knowledge in
emergency response databases based on police incident reports, generating information …

Identification of operational demand in law enforcement agencies: An application based on a probabilistic model of topics

MP Basilio, V Pereira, G Brum - Data Technologies and Applications, 2019 - emerald.com
Purpose The purpose of this paper is to develop a methodology for knowledge discovery in
emergency response service databases based on police occurrence reports, generating …

SentinelFusion based machine learning comprehensive approach for enhanced computer forensics

U Islam, AA Alsadhan, HS Alwageed… - PeerJ Computer …, 2024 - peerj.com
In the rapidly evolving landscape of modern technology, the convergence of blockchain
innovation and machine learning advancements presents unparalleled opportunities to …

[PDF][PDF] Hyper-Tuned Convolutional Neural Networks for Authorship Verification in Digital Forensic Investigations.

A Rahim, Y Zhong, T Ahmad, S Ahmad… - … , Materials & Continua, 2023 - cdn.techscience.cn
Authorship verification is a crucial task in digital forensic investigations, where it is often
necessary to determine whether a specific individual wrote a particular piece of text …

Open class authorship attribution of lithuanian internet comments using one-class classifier

A Venckauskas, A Karpavicius… - 2017 Federated …, 2017 - ieeexplore.ieee.org
Internet can be misused by cyber criminals as a platform to conduct illegitimate activities
(such as harassment, cyber bullying, and incitement of hate or violence) anonymously. As a …

Deep learning-based sentiment classification of social network texts in amharic language

SG Tesfagergish, R Damaševičius… - … Conference on ICT …, 2022 - Springer
Sentiment analysis is among the main targets of natural language processing (NLP) that
assigns a positive or negative value to the opinion expressed in natural language text within …

Flexible neural network architecture for handwritten signatures recognition

M Woźniak, D Polap - International Journal of Electronics and …, 2016 - ijet.ise.pw.edu.pl
This article illustrates modeling of flexible neural networks for handwritten signatures
preprocessing. An input signature is interpolated to adjust inclination angle, than descriptor …

A comparison of authorship attribution approaches applied on the Lithuanian language

J Kapočiūtė-Dzikienė, A Venčkauskas… - 2017 Federated …, 2017 - ieeexplore.ieee.org
This paper reports comparative authorship attribution results obtained on the Internet
comments of the morphologically complex Lithuanian language. We have explored the …

[PDF][PDF] Regularized Deep Neural Network for Post-Authorship Attribution

A Modupe - 2024 - wiredspace.wits.ac.za
Post-authorship attribution is the computational process of determining the legitimate author
of an online text snippet, such as an email, blog, forum post, or chat log, by employing …

[PDF][PDF] Towards Rhythmicity analysis of text using empirical mode decomposition

R Damaševičius, J Kapočiūtė-Dzikienė… - Proceeding of the 9th …, 2017 - researchgate.net
The rhythmicity characteristics of the written text is still an under-researched topic as
opposed to the similar research in the speech analysis domain. The paper presents a …