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ORCIDKleanthis Avramidis
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2020 – today
- 2024
[j1]Kleanthis Avramidis
, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, Shrikanth Narayanan:
Scaling Representation Learning From Ubiquitous ECG With State-Space Models. IEEE J. Biomed. Health Informatics 28(10): 5877-5889 (2024)- [c11]Kleanthis Avramidis, Melinda Y. Chang, Rahul Sharma, Mark S. Borchert, Shrikanth Narayanan:
Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment. EMBC 2024: 1-5 - [c10]Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan:
Knowledge-guided EEG Representation Learning. EMBC 2024: 1-6 - [c9]Shanti Stewart, Kleanthis Avramidis, Tiantian Feng, Shrikanth Narayanan:
Emotion-Aligned Contrastive Learning Between Images and Music. ICASSP 2024: 8135-8139 - [i13]Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan:
Knowledge-guided EEG Representation Learning. CoRR abs/2403.03222 (2024) - [i12]Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Kadiri, Shrikanth Narayanan:
Toward Fully-End-to-End Listened Speech Decoding from EEG Signals. CoRR abs/2406.08644 (2024) - [i11]Angelly Cabrera, Kleanthis Avramidis, Shrikanth Narayanan:
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images. CoRR abs/2407.14737 (2024) - 2023
- [c8]Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan:
Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. ICASSP 2023: 1-2 - [c7]Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan:
Multimodal Estimation Of Change Points Of Physiological Arousal During Driving. ICASSP Workshops 2023: 1-5 - [c6]Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan:
On the Role of Visual Context in Enriching Music Representations. ICASSP 2023: 1-5 - [i10]Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan:
Signal Processing Grand Challenge 2023 - e-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. CoRR abs/2304.08614 (2023) - [i9]Shanti Stewart, Tiantian Feng, Kleanthis Avramidis, Shrikanth Narayanan:
Emotion-Aligned Contrastive Learning Between Images and Music. CoRR abs/2308.12610 (2023) - [i8]Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, Shrikanth Narayanan:
Scaling Representation Learning from Ubiquitous ECG with State-Space Models. CoRR abs/2309.15292 (2023) - 2022
- [c5]Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Enhancing Affective Representations Of Music-Induced Eeg Through Multimodal Supervision And Latent Domain Adaptation. ICASSP 2022: 4588-4592 - [c4]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP 2022: 3973-3977 - [i7]Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation. CoRR abs/2202.09750 (2022) - [i6]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR abs/2207.04565 (2022) - [i5]Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan:
Multimodal Estimation of Change Points of Physiological Arousal in Drivers. CoRR abs/2210.15826 (2022) - [i4]Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan:
On the Role of Visual Context in Enriching Music Representations. CoRR abs/2210.15828 (2022) - 2021
- [c3]Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos:
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition. EUSIPCO 2021: 1316-1320 - [c2]Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms. ICASSP 2021: 3010-3014 - [i3]Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms. CoRR abs/2102.06930 (2021) - 2020
- [c1]Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music. EUSIPCO 2020: 156-160 - [i2]Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos:
Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification. CoRR abs/2010.16310 (2020)
2010 – 2019
- 2019
- [i1]Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music. CoRR abs/1911.12505 (2019)
Coauthor Index
aka: Shrikanth Narayanan
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