Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a
wide range of domains and applications. Dictionary learning (DL) models, which are highly …

Assessing the information security awareness (ISA) of users is crucial for protecting systems
and organizations from social engineering attacks. Current methods do not consider the …

Abstract In the Big Data era, context-aware mobile recommender systems are crucial in
assisting citizens and tourists in making informed decisions, providing a suitable way for …

We present a novel approach to performing fitness approximation in genetic algorithms
(GAs) using machine-learning (ML) models, focusing on evolutionary agents in Gymnasium …

EC-KitY is a comprehensive Python library for doing evolutionary computation (EC),
licensed under the BSD 3-Clause License, and compatible with scikit-learn. Designed with …

The learning management system (LMS) is an e-learning software that raised the interest of
disparate learners' groups. However, learners have difficulties in finding learning resources …

Aiming to assist the design and management personnel of automotive products to make
correct judgments and give optimization solutions for the design of exterior styling, and to …

Information overload has made it difficult for users to get needed data. In this context,
recommender systems are used to filter information and provide personalized …

In the context of the increasingly dynamic experience economy, users' emotional experience
with automobile has become a leading factor in consumption, making automobile exterior …

We present two novel domain-independent genetic operators that harness the capabilities of
deep learning: a crossover operator for genetic algorithms and a mutation operator for …