Athanasia Zlatintsi

Orcid: 0000-0002-1922-9310

According to our database1, Athanasia Zlatintsi authored at least 45 papers between 2009 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping.
Proceedings of the IEEE International Conference on Acoustics, 2024

Pre-training Music Classification Models via Music Source Separation.
Proceedings of the 32nd European Signal Processing Conference, 2024

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

A comparative study of autoencoder architectures for mental health analysis using wearable sensors data.
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
I-Support: A robotic platform of an assistive bathing robot for the elderly population.
Robotics Auton. Syst., 2020

Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors.
CoRR, 2020

Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification.
CoRR, 2020

An Intelligent Cloud-Based Platform for Effective Monitoring of Patients with Psychotic Disorders.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Person Identification Using Deep Convolutional Neural Networks on Short-Term Signals from Wearable Sensors.
Proceedings of the 2020 IEEE International Conference on Acoustics, 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
Showcasing Deeply Supervised Multimodal Attentional Translation Embeddings: a Demo for Visual Relationship Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 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
Exploring CNN-Based Architectures for Multimodal Salient Event Detection in Videos.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Multimodal Signal Processing and Learning Aspects of Human-Robot Interaction for an Assistive Bathing Robot.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multimodal Visual Concept Learning With Weakly Supervised Techniques.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 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

2017
COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization.
EURASIP J. Image Video Process., 2017

Social Human-Robot Interaction for the Elderly: Two Real-life Use Cases.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016
Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement.
CoRR, 2016

Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

FMRI-based perceptual validation of a computational model for visual and auditory saliency in videos.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Quality evaluation of computational models for movie summarization.
Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 2015

Predicting audio-visual salient events based on visual, audio and text modalities for movie summarization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Audio salient event detection and summarization using audio and text modalities.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Comparison of different representations based on nonlinear features for music genre classification.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Επεξεργασία σημάτων μουσικής και εφαρμογές αναγνώρισης
PhD thesis, 2013

Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention.
IEEE Trans. Multim., 2013

Multiscale Fractal Analysis of Musical Instrument Signals With Application to Recognition.
IEEE Trans. Speech Audio Process., 2013

2012
A saliency-based approach to audio event detection and summarization.
Proceedings of the 20th European Signal Processing Conference, 2012

Am-fm modulation features for music instrument signal analysis and recognition.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
A supervised approach to movie emotion tracking.
Proceedings of the IEEE International Conference on Acoustics, 2011

Musical instruments signal analysis and recognition using fractal features.
Proceedings of the 19th European Signal Processing Conference, 2011

2009
Video event detection and summarization using audio, visual and text saliency.
Proceedings of the IEEE International Conference on Acoustics, 2009


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