232 citations · 240 across the 6 of their papers we have counts for
6 papers
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
Nikolaos Rodis, Christos Sardianos, Panagiotis Radoglou-Grammatikis +3
Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable results across numerous data analysis tasks, however, this is typically accompanied by…
A Benchmark Generative Probabilistic Model for Weak Supervised Learning
Georgios Papadopoulos, Fran Silavong, Sean Moran
Finding relevant and high-quality datasets to train machine learning models is a major bottleneck for practitioners. Furthermore, to address ambitious real-world use-cases there is…
User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments
Georgios Th. Papadopoulos, Asterios Leonidis, Margherita Antona +1
Learning from Demonstration (LfD) has been established as the dominant paradigm for efficiently transferring skills from human teachers to robots. In this context, the Federated Le…
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis
Learning from Demonstration (LfD) constitutes one of the most robust methodologies for constructing efficient cognitive robotic systems. Despite the large body of research works al…
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis +7
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural networ…
Deep Affordance-grounded Sensorimotor Object Recognition
Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras +1
It is well-established by cognitive neuroscience that human perception of objects constitutes a complex process, where object appearance information is combined with evidence about…