[HTML][HTML] Towards the automatic calculation of the EQUAL Candida Score: Extraction of CVC-related information from EMRs of critically ill patients with candidemia in …

S Mora, DR Giacobbe, C Bartalucci, G Viglietti… - Journal of Biomedical …, 2024 - Elsevier
Objectives Candidemia is the most frequent invasive fungal disease and the fourth most
frequent bloodstream infection in hospitalized patients. Its optimal management is crucial for …

NLP-based tools for localization of the epileptogenic zone in patients with drug-resistant focal epilepsy

S Mora, R Turrisi, L Chiarella, A Consales, L Tassi… - Scientific Reports, 2024 - nature.com
Epilepsy surgery is an option for people with focal onset drug-resistant (DR) seizures but a
delayed or incorrect diagnosis of epileptogenic zone (EZ) location limits its efficacy. Seizure …

[PDF][PDF] Understanding Consumer Product Sentiments through Supervised Models on Cloud: Pre and Post COVID.

A Gupta, DN Dwivedi, J Shah, R Saroj - Webology, 2021 - webology.org
While a lot of work is done on extracting sentiments and opinions in unstructured text,
majority of it is focused on contextual sentiment mining and features that are more focused …

Malware clustering based on called API during runtime

GJ Széles, A Coleşa - … and Operational Technology Security Systems: First …, 2019 - Springer
Malware growth was exponential in the last years, therefore it is a tedious work to manually
analyze them in order to observe when a new strain appears. In this article we present a …

An Approach to Sentiment Analysis on Unstructured Data in Big Data Environment

DA Borikar, MB Chandak - Smart Trends in Information Technology and …, 2016 - Springer
An enormous growth of the WWW has been instrumental in spreading social networks. Due
to many-fold increase in internet users taking to online reviews and opinions, the …

The integration of a newly defined N-gram concept and vector space model for documents ranking

MA Salama, W Salah - International Journal of Business …, 2019 - inderscienceonline.com
Vector space model (VSM) is used in measuring the similarity between documents
according to the frequency of common words among them. Furthermore, the N-gram concept …

[PDF][PDF] An Analysis of Machine-Learning Feature-Extraction Techniques using Syntactic Tagging for Cross-site Scripting Detection

NAA Talib, KG Doh - 한국소프트웨어감정평가학회논문지, 2022 - i3.or.kr
Working for a strategy to ensure web application security has become more complex as it is
not only to protect against the more challenging cross-site scripting (XSS) attacks but also to …

Clustering news articles using K-means and N-grams

DB BISANDU - 2018 - digitallibrary.aun.edu.ng
Document clustering is an automatic unsupervised machine learning technique that aimed
at grouping related set of items into clusters or subsets. The target is creating clusters with …