1 citations · 3 across the 9 of their papers we have counts for
9 papers
Pose-Aware Multimodal Automatic Tagging for Greek Traditional Music
Alexandros Alexiou, Charilaos Papaioannou, Alexandros Potamianos
Automatic tagging is a core task in Music Information Retrieval (MIR), yet most tagging systems exploit only audio. Live music performance is inherently multimodal, as semantic lab…
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9
Single-task fine-tuning of graph neural networks (GNNs) for power grid problems exhibits a systematic failure mode: models that achieve the lowest in-distribution error degrade the…
CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning
Angelos-Nikolaos Kanatas, Charilaos Papaioannou, Alexandros Potamianos
Recent advances in music foundation models have improved audio representation learning, yet their effectiveness across diverse musical traditions remains limited. We introduce Cult…
Universal Music Representations? Evaluating Foundation Models on World Music Corpora
Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos
Foundation models have revolutionized music information retrieval, but questions remain about their ability to generalize across diverse musical traditions. This paper presents a c…
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos
We introduce Label-Combination Prototypical Networks (LC-Protonets) to address the problem of multi-label few-shot classification, where a model must generalize to new classes base…
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node
Andreas Charalampopoulos, Nikolas Chatzis, Foivos Ntoulas-Panagiotopoulos +2
Fast feedforward networks (FFFs) are a class of neural networks that exploit the observation that different regions of the input space activate distinct subsets of neurons in wide…