Second Order Bilinear Discriminant Analysis for single trial EEG analysis. - Christoforos Christoforou; Paul Sajda; Lucas C. Parra (NIPS, 2007)

Bilinear Discriminant Component Analysis. - Mads Dyrholm; Christoforos Christoforou; Lucas C. Parra (J. Mach. Learn. Res., 2007)

Spatiotemporal Linear Decoding of Brain State. - Lucas C. Parra; Christoforos Christoforou; Adam C. Gerson; Mads Dyrholm; An Luo; Mark Wagner; Marios G. Philiastides; Paul Sajda (IEEE Signal Process. Mag., 2008)

Second-Order Bilinear Discriminant Analysis. - Christoforos Christoforou; Robert M. Haralick; Paul Sajda; Lucas C. Parra (J. Mach. Learn. Res., 2010)

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. - Paul Sajda; Eric Pohlmeyer; Jun Wang 006; Lucas C. Parra; Christoforos Christoforou; Jacek Dmochowski; Barbara Hanna; Claus Bahlmann; Maneesh Kumar Singh 001; Shih-Fu Chang (Proc. IEEE, 2010)

Single-trial linear correlation analysis: application to characterization of stimulus modality effects. - Christoforos Christoforou; Fofi Constantinidou; Panayiota Shoshilou; Panagiotis G. Simos (Frontiers Comput. Neurosci., 2013)

Towards Predicting Ad Effectiveness via an Eye Tracking Study. - Eleni Michailidou; Christoforos Christoforou; Panayiotis Zaphiris (HCI (18), 2014)

Your Brain on the Movies: A Computational Approach for Predicting Box-office Performance from Viewer's Brain Responses to Movie Trailers. - Christoforos Christoforou; Timothy C. Papadopoulos; Fofi Constantinidou; Maria Theodorou (Frontiers Neuroinformatics, 2017)

Perspective Taking vs Mental Rotation: CSP-Based Single-Trial Analysis for Cognitive Process Disambiguation. - Christoforos Christoforou; Adamantini Hatzipanayioti; Marios N. Avraamides (BI, 2018)

Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders. - Christoforos Christoforou; Timothy C. Papadopoulos; Maria Theodorou (FLAIRS, 2021)

Towards EEG-based Emotion Recognition During Video Viewing Neural-Congruency Explains User's Emotion experienced in Music Videos. - Christoforos Christoforou; Maria Theodorou (FLAIRS, 2021)

Alzheimer's Detection through 3D Convolutional Neural Networks. - Ryan Hogan; Christoforos Christoforou (FLAIRS, 2021)

Mask Recognition with Computer Vision in the Age of a Pandemic. - Daniel Jones; Christoforos Christoforou (FLAIRS, 2021)

Detection Of Vacant Parking Spaces Through The Use Of Convolutional Neural Network. - Christopher Singh; Christoforos Christoforou (FLAIRS, 2021)

Toward the Study of the Neural-Underpinnings of Dyslexia During Final-Phoneme Elision: A Machine Learning Approach. - Christoforos Christoforou; Timothy C. Papadopoulos; Maria Theodorou (BI, 2022)

Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task. - Christoforos Christoforou; Timothy C. Papadopoulos; Maria Theodorou (FLAIRS, 2022)

Regularized Neural-Congruency on Spoonerism: Toward exploring the neural-underpinnings of reading disorders on phonological processing tasks. - Christoforos Christoforou; Timothy C. Papadopoulos; Maria Theodorou (FLAIRS, 2023)

Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content. - Christoforos Christoforou; Amritpal Singh; Antonios Takos (FLAIRS, 2024)

Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia. - Christoforos Christoforou; Jacqueline M. Torres; Timothy C. Papadopoulos; Maria Theodorou (FLAIRS, 2024)

A Game-Based Cognitive Intervention for Young Learners with Reading Difficulties. - Alexandros Yeratziotis; Thomas Fotiadis; Achilleas Achilleos; Savvas Savvides; Christos Mettouris; Christoforos Christoforou; Anna Arailoudi; Andriana Mytides; George A. Papadopoulos; Timothy C. Papadopoulos (SN Comput. Sci., 2024)

Single-trial Neural Congruency: Paving the Way towards Single-trial EEG Analysis in Dyslexia research. - Christoforos Christoforou; Timothy C. Papadopoulos (FLAIRS, 2025)