Christos Garoufis

According to our database, Christos Garoufis authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping.

Panagiotis Paraskevas Filntisis, Niki Efthymiou, George Retsinas, Athanasia Zlatintsi, Christos Garoufis, Thomas Sounapoglou, Panayotis Tsanakas, Nikolaos Smyrnis, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2024

Pre-training Music Classification Models via Music Source Separation.

Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Multi-Source Contrastive Learning from Musical Audio.

Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

CoRR, 2023

From Digital Phenotype Identification To Detection Of Psychotic Relapses.

Niki Efthymiou, George Retsinas, Panagiotis Paraskevas Filntisis, Christos Garoufis, Athanasia Zlatintsi, Emmanouil Kalisperakis, Vasiliki Garyfalli, Thomas Karantinos, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

E-Prevention: The ICASSP-2023 Challenge on Person Identification and Relapse Detection from Continuous Recordings of Biosignals.

Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Niki Efthymiou, Christos Garoufis, George Retsinas, Thomas Sounapoglou, Ilias Maglogiannis, Panayiotis Tsanakas, Nikolaos Smyrnis, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2023

Relapse Prediction from Long-Term Wearable Data Using Self-Supervised Learning and Survival Analysis.

E. Fekas, Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Christos Garoufis, Niki Efthymiou, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures.

Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Christos Garoufis, Niki Efthymiou, Petros Maragos, Andreas Menychtas, Ilias Maglogiannis, Panayiotis Tsanakas, Thomas Sounapoglou, Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Vasiliki Garyfalli, Asimakis Mantas, Leonidas Mantonakis, Nikolaos Smyrnis

Sensors, 2022

Enhancing Affective Representations Of Music-Induced Eeg Through Multimodal Supervision And Latent Domain Adaptation.

Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-band Masking for Waveform-based Singing Voice Separation.

Panagiotis Papantonakis, Christos Garoufis, Petros Maragos

Proceedings of the 30th European Signal Processing Conference, 2022

Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders.

Christos Garoufis, Athanasia Zlatintsi, Panayiotis Paraskevas Filntisis, Niki Efthymiou, Emmanouil Kalisperakis, Thomas Karantinos, Vasiliki Garyfalli, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms.

Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2021

HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation.

Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the 29th European Signal Processing Conference, 2021

Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition.

Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos

Proceedings of the 29th European Signal Processing Conference, 2021

An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis.

Christos Garoufis, Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Niki Efthymiou, Emmanouil Kalisperakis, Vasiliki Garyfalli, Thomas Karantinos, L. Mantonakis, Nikolaos Smyrnis, Petros Maragos

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification.

Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos

CoRR, 2020

An LSTM-Based Dynamic Chord Progression Generation System for Interactive Music Performance.

Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music.

Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the 28th European Signal Processing Conference, 2020

2019

An Environment for Gestural Interaction with 3D Virtual Musical Instruments as an Educational Tool.

Christos Garoufis, Athanasia Zlatintsi, Kosmas Kritsis, Panagiotis Paraskevas Filntisis, Vassilis Katsouros, Petros Maragos

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments.

Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Christos Garoufis, Antigoni Tsiami, Kosmas Kritsis, Maximos A. Kaliakatsos-Papakostas, Aggelos Gkiokas, Vassilis Katsouros, Petros Maragos

Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 2018