Christos Garoufis

Orcid: 0000-0002-1714-3943

According to our database1, Christos Garoufis authored at least 17 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-Source Contrastive Learning from Musical Audio.
CoRR, 2023

From Digital Phenotype Identification To Detection Of Psychotic Relapses.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

Relapse Prediction from Long-Term Wearable Data Using Self-Supervised Learning and Survival Analysis.
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.
Sensors, 2022

Enhancing Affective Representations Of Music-Induced Eeg Through Multimodal Supervision And Latent Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-band Masking for Waveform-based Singing Voice Separation.
Proceedings of the 30th European Signal Processing Conference, 2022

Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms.
Proceedings of the IEEE International Conference on Acoustics, 2021

HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation.
Proceedings of the 29th European Signal Processing Conference, 2021

Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition.
Proceedings of the 29th European Signal Processing Conference, 2021

An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis.
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.
CoRR, 2020

An LSTM-Based Dynamic Chord Progression Generation System for Interactive Music Performance.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
An Environment for Gestural Interaction with 3D Virtual Musical Instruments as an Educational Tool.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments.
Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 2018


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