Fotis Kalaganis

Orcid: 0000-0002-5474-9098

According to our database1, Fotis Kalaganis authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Visual Saliency Transformer Goes Temporal: TempVST for Video Saliency Prediction.
IEEE Access, 2024

Combining EEGNet with SPDNet Towards an End-To-End Architecture for Imagined Speech Decoding.
Proceedings of the 32nd European Signal Processing Conference, 2024

Decoding Consumer Behavior: A Neuroscientific Exploration of Personality Traits Through EEG Functional Connectivity.
Proceedings of the 32nd European Signal Processing Conference, 2024

Assessing Video Advertising Engagement via Nonlinear Intersubject Correlation Analysis of EEG and Eye Tracking Dynamics.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing.
Sensors, March, 2023

Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
Increasing the Independence of People with Disabilities Using Bio-signals, Computer Vision and Wearable Devices.
ERCIM News, 2022

<sup>R</sup>NeuMark: A Riemannian EEG Analysis Framework for Neuromarketing.
Brain Informatics, 2022

2021
Neural decoding schemes for BCIs in Neuroergonomics
PhD thesis, 2021

Products-6K: A Large-Scale Groceries Product Recognition Dataset.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Lending an Artificial Eye: Beyond Evaluation of CV-Based Assistive Systems for Visually Impaired People.
Proceedings of the Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments, 2021

Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Riemannian Geometry Approach to Reduced and Discriminative Covariance Estimation in Brain Computer Interfaces.
IEEE Trans. Biomed. Eng., 2020

A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain-Computer Interfaces.
IEEE Access, 2020

2019
A Computer Vision System Supporting Blind People - The Supermarket Case.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

2018
Musical NeuroPicks: A consumer-grade BCI for on-demand music streaming services.
Neurocomputing, 2018

2017
A Collaborative Representation Approach to Detecting Error-Related Potentials in SSVEP-BCIs.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

An Error Aware SSVEP-based BCI.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service "Taking Listener's Brainwaves to Extremes".
Proceedings of the Artificial Intelligence Applications and Innovations, 2016


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