Publications

Selected works, see Google Scholar for a complete list.

2025

  1. arXiv
    Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
    Kleanthis Avramidis, Woojae Jeong, Aditya Kommineni, Sudarsana R Kadiri, Marcus Ma, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Dani Byrd,  others
    arXiv preprint arXiv:2504.20944, 2025
  2. arXiv
    Estimating Markers of Driving Stress through Multimodal Physiological Monitoring
    Kleanthis Avramidis, Emily Zhou, Tiantian Feng, Hossein Hamidi Shishavan, Frederico Marcolino Quintao Severgnini, Danny J Lohan, Paul Schmalenberg, Ercan M Dede, Shrikanth Narayanan
    arXiv preprint arXiv:2507.14146, 2025
  3. OSF
    PRECOG: Comprehensive Experimental Design and Stimuli Protocol for Investigating Depression and Suicidal Ideation
    Myzelle Hughes, Colin McDaniel, Takfarinas MEDANI, Woojae Jeong, Idan Blank, Dani Byrd, Thomas McGee, Kleanthis Avramidis, Sudarsana Kadiri, Chinmay Chinara,  others
    Open Science Framework, 2025
  4. Journal
    Developing Personalized Algorithms for Sensing Mental Health Symptoms in Daily Life
    Adela C Timmons, Abdullah Aman Tutul, Kleanthis Avramidis, Jacqueline B Duong, Kayla E Carta, Sierra N Walters, Grace A Jumonville, Alyssa S Carrasco,  others
    npj Mental Health Research, 2025

2024

  1. EMBC 2024
    Knowledge-guided EEG Representation Learning
    Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan
    In IEEE Engineering in Medicine and Biology Conference (EMBC), 2024
  2. EMBC 2024
    Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment
    Kleanthis Avramidis, Melinda Y Chang, Rahul Sharma, Mark S Borchert, Shrikanth Narayanan
    In IEEE Engineering in Medicine and Biology Conference (EMBC), 2024
  3. Journal
    Scaling Representation Learning from Ubiquitous ECG with State-Space Models
    Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemysław Kazienko, Stanisław Saganowski, Shrikanth Narayanan
    IEEE Journal of Biomedical and Health Informatics, 2024

2023

  1. ICASSP 2023
    Multimodal Estimation of Change Points of Physiological Arousal in Drivers
    Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan
    In Ambient AI Workshop: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  2. ICASSP 2023
    On the Role of Visual Context in Enriching Music Representations
    Kleanthis Avramidis, Shanti Stewart, and Shrikanth Narayanan
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

2022

  1. ICIP 2022
    Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning
    Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
    In IEEE International Conference on Image Processing (ICIP), 2022
  2. ICASSP 2022
    Enhancing Affective Representations of Music-induced EEG through Multimodal Supervision and Latent Domain Adaptation
    Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

2021

  1. EUSIPCO 2021
    Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition
    Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos
    In European Signal Processing Conference (EUSIPCO), 2021
  2. ICASSP 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
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
  3. EUSIPCO 2020
    Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
    Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
    In European Signal Processing Conference (EUSIPCO), 2021