Adaptive e-learning systems through learning styles: A review of the literature
I Katsaris, N Vidakis - Advances in Mobile Learning Educational …, 2021 - syncsci.com
The domain of education has taken great leaps by capitalizing on technology and the
utilization of modern devices. Nowadays, the established term" one size fits all" has begun to …
utilization of modern devices. Nowadays, the established term" one size fits all" has begun to …
Application of Internet of Things and artificial intelligence for smart fitness: A survey
A Farrokhi, R Farahbakhsh, J Rezazadeh, R Minerva - Computer Networks, 2021 - Elsevier
The revolution of Internet of Things (IoT) is pervading many facets of our everyday life.
Among the multiple IoT application domains, well-being is becoming one of the popular …
Among the multiple IoT application domains, well-being is becoming one of the popular …
YOLO-LITE: a real-time object detection algorithm optimized for non-GPU computers
This paper focuses on YOLO-LITE, a real-time object detection model developed to run on
portable devices such as a laptop or cellphone lacking a Graphics Processing Unit (GPU) …
portable devices such as a laptop or cellphone lacking a Graphics Processing Unit (GPU) …
A survey of user profiling: State-of-the-art, challenges, and solutions
Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …
given attention to the virtual representation of each user, which is crucial for effective service …
[HTML][HTML] Urban water consumption at multiple spatial and temporal scales. A review of existing datasets
Over the last three decades, the increasing development of smart water meter trials and the
rise of demand management has fostered the collection of water demand data at …
rise of demand management has fostered the collection of water demand data at …
Do graph neural networks build fair user models? assessing disparate impact and mistreatment in behavioural user profiling
Recent approaches to behavioural user profiling employ Graph Neural Networks (GNNs) to
turn users' interactions with a platform into actionable knowledge. The effectiveness of an …
turn users' interactions with a platform into actionable knowledge. The effectiveness of an …
Fairup: A framework for fairness analysis of graph neural network-based user profiling models
Modern user profiling approaches capture different forms of interactions with the data, from
user-item to user-user relationships. Graph Neural Networks (GNNs) have become a natural …
user-item to user-user relationships. Graph Neural Networks (GNNs) have become a natural …
ACUX recommender: A mobile recommendation system for multi-profile cultural visitors based on visiting preferences classification
In recent years, Recommendation Systems (RSs) have gained popularity in different
scientific fields through the creation of (mostly mobile) applications that deliver personalized …
scientific fields through the creation of (mostly mobile) applications that deliver personalized …
Data science methodology for cybersecurity projects
F Foroughi, P Luksch - arXiv preprint arXiv:1803.04219, 2018 - arxiv.org
Cyber-security solutions are traditionally static and signature-based. The traditional
solutions along with the use of analytic models, machine learning and big data could be …
solutions along with the use of analytic models, machine learning and big data could be …
[HTML][HTML] KeyEncoder: A secure and usable EEG-based cryptographic key generation mechanism
L Hernández-Álvarez, E Barbierato, S Caputo… - Pattern Recognition …, 2023 - Elsevier
Nowadays, a rapid, easy, and convenient access to our private information is essential to
carry out both personal and professional activities. In most cases, this information is …
carry out both personal and professional activities. In most cases, this information is …