Fotis Kalaganis
Orcid: 0000-0002-5474-9098
According to our database1,
Fotis Kalaganis
authored at least 20 papers
between 2016 and 2024.
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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
Brain Informatics, 2022
2021
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
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
Proceedings of the Computer Vision Systems, 12th International Conference, 2019
2018
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
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