4 citations · 7 across the 6 of their papers we have counts for
7 papers
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation
Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi +1
The study of Music Cognition and neural responses to music has been invaluable in understanding human emotions. Brain signals, though, manifest a highly complex structure that make…
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The advent of deep learning has led to the prevalence of deep neural network architectures for monaural music source separation, with end-to-end approaches that operate directly on…
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms
Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis +2
Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms. However, the emergenc…
Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors
Panagiotis P. Filntisis, Athanasia Zlatintsi, Niki Efthymiou +5
Digital phenotyping is a nascent multidisciplinary field that has the potential to revolutionize psychiatry and its clinical practice. In this paper, we present a rigorous statisti…
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis +2
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with mon…
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection
Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras +2
Detecting visual relationships, i.e. <Subject, Predicate, Object> triplets, is a challenging Scene Understanding task approached in the past via linguistic priors or spatial inform…