A review of digital era governance research in the first two decades: a bibliometric study

D Ravšelj, L Umek, L Todorovski, A Aristovnik - Future Internet, 2022 - mdpi.com
The emergence of digital technologies has profoundly affected and transformed almost
every aspect of societal relations. These impacts have also reached public administration …

Survey of neural text representation models

K Babić, S Martinčić-Ipšić, A Meštrović - Information, 2020 - mdpi.com
In natural language processing, text needs to be transformed into a machine-readable
representation before any processing. The quality of further natural language processing …

A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence

E Amer, I Zelinka - Computers & Security, 2020 - Elsevier
Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …

A multi-perspective malware detection approach through behavioral fusion of api call sequence

E Amer, I Zelinka, S El-Sappagh - Computers & Security, 2021 - Elsevier
The widespread development of the malware industry is considered the main threat to our e-
society. Therefore, malware analysis should also be enriched with smart heuristic tools that …

A network-based positive and unlabeled learning approach for fake news detection

MC de Souza, BM Nogueira, RG Rossi, RM Marcacini… - Machine learning, 2022 - Springer
Fake news can rapidly spread through internet users and can deceive a large audience.
Due to those characteristics, they can have a direct impact on political and economic events …

Computer-assisted separation of design-build contract requirements to support subcontract drafting

F ul Hassan, T Le - Automation in Construction, 2021 - Elsevier
Construction projects delivered using the Design-Build (DB) method include a single
contract which defines requirements associated with various disciplines involved in the …

Legal document recommendation system: A cluster based pairwise similarity computation

J Dhanani, R Mehta, D Rana - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Legal practitioners analyze relevant previous judgments to prepare favorable and
advantageous arguments for an ongoing case. In Legal domain, recommender systems …

A method of short text representation based on the feature probability embedded vector

W Zhou, H Wang, H Sun, T Sun - Sensors, 2019 - mdpi.com
Text representation is one of the key tasks in the field of natural language processing (NLP).
Traditional feature extraction and weighting methods often use the bag-of-words (BoW) …

A Malware Detection Framework Based on Semantic Information of Behavioral Features

Y Zhang, S Yang, L Xu, X Li, D Zhao - Applied Sciences, 2023 - mdpi.com
As the amount of malware has grown rapidly in recent years, it has become the most
dominant attack method in network security. Learning execution behavior, especially …

Effective and scalable legal judgment recommendation using pre-learned word embedding

J Dhanani, R Mehta, D Rana - Complex & Intelligent Systems, 2022 - Springer
Legal professionals strongly demand an automatic and convenient legal document
recommendation system (LDRS) to identify similar judgments for preparing the …