Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music. - Agelos Kratimenos; Kleanthis Avramidis; Christos Garoufis; Athanasia Zlatintsi; Petros Maragos (EUSIPCO, 2020)

Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification. - Kleanthis Avramidis; Athanasia Zlatintsi; Christos Garoufis; Petros Maragos (CoRR, 2020)

Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition. - Kleanthis Avramidis; Athanasia Zlatintsi; Christos Garoufis; Petros Maragos (EUSIPCO, 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 (ICASSP, 2021)

Enhancing Affective Representations Of Music-Induced Eeg Through Multimodal Supervision And Latent Domain Adaptation. - Kleanthis Avramidis; Christos Garoufis; Athanasia Zlatintsi; Petros Maragos (ICASSP, 2022)

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. - Kleanthis Avramidis; Mohammad Rostami; Melinda Chang; Shrikanth Narayanan (ICIP, 2022)

Multimodal Estimation of Change Points of Physiological Arousal in Drivers. - Kleanthis Avramidis; Tiantian Feng; Digbalay Bose; Shrikanth Narayanan (CoRR, 2022)

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 (ICASSP, 2023)

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving. - Kleanthis Avramidis; Tiantian Feng; Digbalay Bose; Shrikanth Narayanan (ICASSP Workshops, 2023)

On the Role of Visual Context in Enriching Music Representations. - Kleanthis Avramidis; Shanti Stewart; Shrikanth Narayanan (ICASSP, 2023)

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 (EMBC, 2024)

Knowledge-guided EEG Representation Learning. - Aditya Kommineni; Kleanthis Avramidis; Richard M. Leahy; Shrikanth Narayanan (EMBC, 2024)

Emotion-Aligned Contrastive Learning Between Images and Music. - Shanti Stewart; Kleanthis Avramidis; Tiantian Feng; Shrikanth Narayanan (ICASSP, 2024)

Toward Fully-End-to-End Listened Speech Decoding from EEG Signals. - Jihwan Lee; Aditya Kommineni; Tiantian Feng; Kleanthis Avramidis; Xuan Shi; Sudarsana Reddy Kadiri; Shrikanth Narayanan (INTERSPEECH, 2024)

Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images. - Angelly Cabrera; Kleanthis Avramidis; Shrikanth Narayanan (CoRR, 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, 2024)

Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements. - Kleanthis Avramidis; Woojae Jeong; Aditya Kommineni; Sudarsana Reddy Kadiri; Marcus Ma; Colin McDaniel; Myzelle Hughes; Thomas McGee; Elsi Kaiser; Dani Byrd; Assal Habibi; B. Rael Cahn; et al. (CoRR, 2025)

Articulatory Feature Prediction from Surface EMG during Speech Production. - Jihwan Lee; Kevin Huang; Kleanthis Avramidis; Simon Pistrosch; Monica González Machorro; Yoonjeong Lee; Björn W. Schuller; Louis Goldstein; Shrikanth Narayanan (CoRR, 2025)

Neural Responses to Affective Sentences Reveal Signatures of Depression. - Aditya Kommineni; Woojae Jeong; Kleanthis Avramidis; Colin McDaniel; Myzelle Hughes; Thomas McGee; Elsi Kaiser; Kristina Lerman; Idan A. Blank; Dani Byrd; Assal Habibi; B. Rael Cahn; et al. (CoRR, 2025)

Decoding Neural Signatures of Semantic Evaluations in Depression and Suicidality. - Woojae Jeong; Aditya Kommineni; Kleanthis Avramidis; Colin McDaniel; Donald Berry; Myzelle Hughes; Thomas McGee; Elsi Kaiser; Dani Byrd; Assal Habibi; B. Rael Cahn; Idan A. Blank; et al. (CoRR, 2025)