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 …
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 …
emergency response service databases based on police occurrence reports, generating …
SentinelFusion based machine learning comprehensive approach for enhanced computer forensics
In the rapidly evolving landscape of modern technology, the convergence of blockchain
innovation and machine learning advancements presents unparalleled opportunities to …
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 …
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 …
(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 …
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 …
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 …
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 …
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 …
opposed to the similar research in the speech analysis domain. The paper presents a …