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Early Detection of Depression: Social Network Analysis and Random Forest Techniques
(J M I R Publications, Inc., 2019-06-10)
[Abstract] Background: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, ...
Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors
(MDPI AG, 2020-07-04)
[Abstract]
The relative simplicity of IoT networks extends service vulnerabilities and possibilities to different network failures exhibiting system weaknesses. Therefore, having a dataset with a sufficient number of ...
Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset
(MDPI, 2023-04)
[Abstract]: With the rise in smart devices, the Internet of Things (IoT) has been established as one of the preferred emerging platforms to fulfil their need for simple interconnections. The use of specific protocols such ...
A Content-Based Approach to Profile Expansion
(World Scientific, 2020-12)
[Abstract]: Collaborative Filtering algorithms suffer from the so-called cold-start problem. In particular, when a user has rated few items, recommendations offered by these algorithms are not too accurate. Profile Expansion ...
Early Intrusion Detection for OS Scan Attacks
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
[Abstract]: Network Intrusion Detection Systems (NIDS) are concerned with the discovery of unauthorized accesses to computer networks by analyzing the traffic in order to detect malicious activity. In the event of an ...
IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection
(MDPI, 2021)
[Abstract] With advancements in engineering and science, the application of smart systems is increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT restricted power and computing ...
A Workflow Language for Web Automation
(Graz University of Technology, 2008-06-01)
[Abstract]: Most today s web sources do not provide suitable interfaces for software programs to interact with them. Many researchers have proposed highly effective techniques to address this problem. Nevertheless, ad-hoc ...
Distributed and Collaborative Web Change Detection System
(ComSIS Consortium, 2015)
[Absctract]: Search engines use crawlers to traverse the Web in order to download
web pages and build their indexes. Maintaining these indexes up-to-date is an
essential task to ensure the quality of search results. ...
Early Detection of Cyberbullying on Social Media Networks
(Elsevier BV, 2021-05)
[Abstract]
Cyberbullying is an important issue for our society and has a major negative effect on the victims, that can be highly damaging due to the frequency and high propagation provided by Information Technologies. ...
High Order Profile Expansion to tackle the new user problem on recommender systems
(Public Library of Science, 2019-11-07)
[Abstract]
Collaborative Filtering algorithms provide users with recommendations based on their opinions, that is, on the ratings given by the user for some items. They are the most popular and widely implemented algorithms ...