Traditional music-recommendation techniques are based on the concept of collaborative filtering (CF) which leverages the listening patterns of many users.
Category: Deep Learning
A Citizen Approach for the Collection of Data to Train Deep Learning Models
Over recent years, technology in nature studies offered assistance in academic research and solutions for environmental crises. Machine learning is
Automated Gait Analysis
Gait analysis is the systematic study of walking patterns. Typically, expensive and intrusive marker- based methods, in conjunction with multiple
Teaching AI through Augmented Reality
Artificial intelligence (AI) has pervasively penetrated every aspect of our life, impacting the way society operates in general [1]. Such
GAImE – Investigating Game AI for Enhanced User Experience
Over the last few decades, the business of digital and video games has risen exponentially. Game artificial intelligence (AI)in particular
Named-entity recognition for Maltese: A scenario for a low-resource language
Named-entity recognition (NER) is a subtask in the field of natural language processing (NLP), whereby named entities such as ’person’,
Automated Face Reduction
The General Data Protection Regulation (GDPR) [1] was implemented in May 2018, giving individual citizens the right to request the
Virtual Interfaces – Responsive and Adaptive (VI-RA)
In Industry 4.0, the user is overwhelmed with all the information that is generated from the machines. This creates a
Age Estimation using Deep Learning
The progress of computer vision has made great strides in recent years, thanks to the significant research that was conducted