Kleanthis Avramidis

Orcid: 0000-0003-0308-795X

According to our database1, Kleanthis Avramidis authored at least 20 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Decoding Neural Signatures of Semantic Evaluations in Depression and Suicidality.
CoRR, July, 2025

Neural Responses to Affective Sentences Reveal Signatures of Depression.
CoRR, June, 2025

Articulatory Feature Prediction from Surface EMG during Speech Production.
CoRR, May, 2025

Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements.
CoRR, April, 2025

2024
Scaling Representation Learning From Ubiquitous ECG With State-Space Models.
IEEE J. Biomed. Health Informatics, October, 2024

Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images.
CoRR, 2024

Toward Fully-End-to-End Listened Speech Decoding from EEG Signals.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Emotion-Aligned Contrastive Learning Between Images and Music.
Proceedings of the IEEE International Conference on Acoustics, 2024

Knowledge-guided EEG Representation Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
On the Role of Visual Context in Enriching Music Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving.
Proceedings of the IEEE International Conference on Acoustics, 2023

Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multimodal Estimation of Change Points of Physiological Arousal in Drivers.
CoRR, 2022

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

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

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

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


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