5 papers
Neural-Symbolic Integration with Evolvable Policies
Marios Thoma, Vassilis Vassiliades, Loizos Michael
Neural-Symbolic (NeSy) Artificial Intelligence has emerged as a promising approach for combining the learning capabilities of neural networks with the interpretable reasoning of sy…
PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
Marios Thoma, Zenonas Theodosiou, Harris Partaourides +3
Walking has always been a primary mode of transportation and is recognized as an essential activity for maintaining good health. Despite the need for safe walking conditions in urb…
Poultry Farm Intelligence: An Integrated Multi-Sensor AI Platform for Enhanced Welfare and Productivity
Pieris Panagi, Savvas Karatsiolis, Kyriacos Mosphilis +5
Poultry farming faces increasing pressure to meet productivity targets while ensuring animal welfare and environmental compliance. Yet many small and medium-sized farms lack afford…
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor, Vassilis Vassiliades, Constantine Dovrolis
We focus on a relatively unexplored learning paradigm known as {\em Online Unsupervised Continual Learning} (O-UCL), where an agent receives a non-stationary, unlabeled data stream…
Towards Exploratory Quality Diversity Landscape Analysis
Kyriacos Mosphilis, Vassilis Vassiliades
This work is a preliminary study on using Exploratory Landscape Analysis (ELA) for Quality Diversity (QD) problems. We seek to understand whether ELA features can potentially be us…