Kleanthis Avramidis

According to our database, Kleanthis Avramidis authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Scaling Representation Learning From Ubiquitous ECG With State-Space Models.

Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, Shrikanth Narayanan

IEEE J. Biomed. Health Informatics, October, 2024

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

Angelly Cabrera, Kleanthis Avramidis, Shrikanth Narayanan

CoRR, 2024

Toward Fully-End-to-End Listened Speech Decoding from EEG Signals.

Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Kadiri, Shrikanth Narayanan

CoRR, 2024

Knowledge-guided EEG Representation Learning.

Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan

CoRR, 2024

Emotion-Aligned Contrastive Learning Between Images and Music.

Shanti Stewart, Kleanthis Avramidis, Tiantian Feng, Shrikanth Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

On the Role of Visual Context in Enriching Music Representations.

Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2023

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving.

Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan

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.

Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multimodal Estimation of Change Points of Physiological Arousal in Drivers.

Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan

CoRR, 2022

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning.

Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan

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.

Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 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

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

2020

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

Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos

CoRR, 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