Athanasia Zlatintsi

About Athanasia Zlatintsi

Athanasia Zlatintsi, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at National Technical University, specializes in the field of signal processing, machine learning, MIR, biosignals, HCI/HRI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Person Identification and Relapse Detection from Continuous Recordings of Biosignals Challenge: Overview and Results

From Digital Phenotype Identification To Detection Of Psychotic Relapses

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

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

Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders

Multi-Source Contrastive Learning from Musical Audio

Exploring Polyphonic Accompaniment Generation using Generative Adversarial Networks

Pre-training Music Classification Models via Music Source Separation

Athanasia Zlatintsi Information

University

Position

___

Citations(all)

1096

Citations(since 2020)

657

Cited By

642

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

23

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Athanasia Zlatintsi Skills & Research Interests

signal processing

machine learning

MIR

biosignals

HCI/HRI

Top articles of Athanasia Zlatintsi

Person Identification and Relapse Detection from Continuous Recordings of Biosignals Challenge: Overview and Results

2024/3/12

From Digital Phenotype Identification To Detection Of Psychotic Relapses

2023/6/26

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

2023/6/4

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

2023/6/4

Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders

Frontiers in Psychiatry

2023/3/13

Multi-Source Contrastive Learning from Musical Audio

arXiv preprint arXiv:2302.07077

2023/2/14

Exploring Polyphonic Accompaniment Generation using Generative Adversarial Networks

2023

Pre-training Music Classification Models via Music Source Separation

arXiv preprint arXiv:2310.15845

2023/10/24

E-prevention: Advanced support system for monitoring and relapse prevention in patients with psychotic disorders analyzing long-term multimodal data from wearables and video …

Sensors

2022/10/5

Towards unsupervised subject-independent speech-based relapse detection in patients with psychosis using variational autoencoders

2022/8/29

A comparative study of autoencoder architectures for mental health analysis using wearable sensors data

2022/8/29

Enhancing affective representations of music-induced EEG through multimodal supervision and latent domain adaptation

2022/5/23

Multiscale fractal analysis on EEG signals for music-induced emotion recognition

2021/8/23

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

2021/8/23

An unsupervised learning approach for detecting relapses from spontaneous speech in patients with psychosis

2021/7/27

Deep convolutional and recurrent networks for polyphonic instrument classification from monophonic raw audio waveforms

2021/6/6

Augmentation methods on monophonic audio for instrument classification in polyphonic music

2021/1/18

iMuSciCA Workbench: Web-based Music Activities For Science Education

Journal of the Audio Engineering Society

2020/11/30

Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable …

arXiv preprint arXiv:2011.02285

2020/10/30

An LSTM-based dynamic chord progression generation system for interactive music performance

2020/5/4

See List of Professors in Athanasia Zlatintsi University(National Technical University)

Co-Authors

academic-engine