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ORCIDFotis Kalaganis
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2020 – today
- 2024
[j6]Nikos Lazaridis
, Kostas Georgiadis, Fotis Kalaganis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Spiros Nikolopoulos, Ioannis Kompatsiaris:
The Visual Saliency Transformer Goes Temporal: TempVST for Video Saliency Prediction. IEEE Access 12: 129705-129716 (2024)- [c12]Kostas Georgiadis, Fotis P. Kalaganis, Nikos Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Assessing Video Advertising Engagement via Nonlinear Intersubject Correlation Analysis of EEG and Eye Tracking Dynamics. EUSIPCO 2024: 957-961 - [c11]Maria Kyrou, Fotis P. Kalaganis, Kostas Georgiadis, Spiros Nikolopoulos, Nikos Laskaris, Ioannis Kompatsiaris:
Decoding Consumer Behavior: A Neuroscientific Exploration of Personality Traits Through EEG Functional Connectivity. EUSIPCO 2024: 967-971 - [c10]Georgios Rousis, Fotis P. Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris, Panagiotis C. Petrantonakis:
Combining EEGNet with SPDNet Towards an End-To-End Architecture for Imagined Speech Decoding. EUSIPCO 2024: 1531-1535 - 2023
- [j5]Vangelis P. Oikonomou, Kostas Georgiadis, Fotis Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing. Sensors 23(5): 2480 (2023) - [c9]Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry. BI 2023: 21-32 - [c8]Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding. BI 2023: 409-419 - 2022
- [j4]Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing. Brain Informatics 9(1): 22 (2022) - [i3]Ioulietta Lazarou, Lampros Mpaltadoros, Fotis Kalaganis, Kostas Georgiadis, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Increasing the Independence of People with Disabilities Using Bio-signals, Computer Vision and Wearable Devices. ERCIM News 2022(130) (2022) - 2021
- [b1]Fotis Kalaganis:
Neural decoding schemes for BCIs in Neuroergonomics. Aristotle University Of Thessaloniki, Greece, 2021 - [c7]Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, Vangelis P. Oikonomou, Nikolaos A. Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris, Maria Panou, Andrei Dragomir, Anastasios Bezerianos:
Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach. EMBC 2021: 395-398 - [c6]Fotis P. Kalaganis, Panagiotis Migkotzidis, Kostas Georgiadis, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Lending an Artificial Eye: Beyond Evaluation of CV-Based Assistive Systems for Visually Impaired People. HCI (8) 2021: 385-399 - [c5]Kostas Georgiadis, Giorgos Kordopatis-Zilos, Fotis Kalaganis, Panagiotis Migkotzidis, Elisavet Chatzilari, Valasia Panakidou, Kyriakos Pantouvakis, Savvas Tortopidis, Symeon Papadopoulos, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Products-6K: A Large-Scale Groceries Product Recognition Dataset. PETRA 2021: 1-7 - 2020
- [j3]Fotis P. Kalaganis, Nikolaos A. Laskaris, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain-Computer Interfaces. IEEE Access 8: 162218-162229 (2020) - [j2]Fotis P. Kalaganis, Nikos Laskaris, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Riemannian Geometry Approach to Reduced and Discriminative Covariance Estimation in Brain Computer Interfaces. IEEE Trans. Biomed. Eng. 67(1): 245-255 (2020)
2010 – 2019
- 2019
- [c4]Kostas Georgiadis, Fotis Kalaganis, Panagiotis Migkotzidis, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Computer Vision System Supporting Blind People - The Supermarket Case. ICVS 2019: 305-315 - 2018
- [j1]Fotis P. Kalaganis, Dimitrios A. Adamos, Nikolaos A. Laskaris:
Musical NeuroPicks: A consumer-grade BCI for on-demand music streaming services. Neurocomputing 280: 65-75 (2018) - 2017
- [c3]Fotis Kalaganis, Elisavet Chatzilari, Kostas Georgiadis, Spiros Nikolopoulos, Nikos Laskaris, Yiannis Kompatsiaris:
An Error Aware SSVEP-based BCI. CBMS 2017: 775-780 - [c2]Fotis P. Kalaganis, Elisavet Chatzilari, Spiros Nikolopoulos, Nikos Laskaris, Yiannis Kompatsiaris:
A Collaborative Representation Approach to Detecting Error-Related Potentials in SSVEP-BCIs. ACM Multimedia (Thematic Workshops) 2017: 262-270 - [i2]Fotis Kalaganis, Dimitrios A. Adamos, Nikos Laskaris:
Musical NeuroPicks: a consumer-grade BCI for on-demand music streaming services. CoRR abs/1709.01116 (2017) - 2016
- [c1]Fotis Kalaganis, Dimitrios A. Adamos, Nikos Laskaris:
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service "Taking Listener's Brainwaves to Extremes". AIAI 2016: 429-440 - [i1]Fotis Kalaganis, Dimitrios A. Adamos, Nikos Laskaris:
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes. CoRR abs/1609.06374 (2016)
Coauthor Index
aka: Kostas Georgiadis
aka: Yiannis Kompatsiaris
aka: Nikos Laskaris
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