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2020 – today
- 2024
[c7]Christoforos Christoforou
, Jacqueline M. Torres, Timothy C. Papadopoulos, Maria Theodorou:
Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia. FLAIRS 2024- 2023
- [c6]Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Regularized Neural-Congruency on Spoonerism: Toward exploring the neural-underpinnings of reading disorders on phonological processing tasks. FLAIRS 2023 - 2022
- [c5]Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Toward the Study of the Neural-Underpinnings of Dyslexia During Final-Phoneme Elision: A Machine Learning Approach. BI 2022: 74-85 - [c4]Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task. FLAIRS 2022 - 2021
- [c3]Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders. FLAIRS 2021 - [c2]Christoforos Christoforou, Maria Theodorou:
Towards EEG-based Emotion Recognition During Video Viewing Neural-Congruency Explains User's Emotion experienced in Music Videos. FLAIRS 2021
2010 – 2019
- 2017
- [j1]Christoforos Christoforou, Timothy C. Papadopoulos, Fofi Constantinidou, Maria Theodorou:
Your Brain on the Movies: A Computational Approach for Predicting Box-office Performance from Viewer's Brain Responses to Movie Trailers. Frontiers Neuroinformatics 11: 72 (2017) - 2016
- [c1]Maria Theodorou, Michael Paterakis:
Design and performance evaluation of a Distributed algorithm for heterogeneous multichannel CRNs. IWCMC 2016: 309-314
Coauthor Index
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