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ORCIDVangelis P. Oikonomou
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Books and Theses
- 2010
[b1]Vangelis P. Oikonomou:
Μπεϋζιανές μέθοδοι ανάλυσης και επεξεργασίας βιοϊατρικού σήματος και εικόνας. University of Ioannina, Greece, 2010
Journal Articles
- 2023
- [j14]Vangelis P. Oikonomou
:
Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals. Sensors 23(5): 2425 (2023) - [j13]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) - 2022
- [j12]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) - [j11]Ioulietta Lazarou, Spiros Nikolopoulos, Kostas Georgiadis, Vangelis P. Oikonomou, Agnes Mariakaki, Ioannis Kompatsiaris:
Exploring the Connection of Brain Computer Interfaces and Multimedia Use With the Social Integration of People With Various Motor Disabilities: A Questionnaire-Based Usability Study. Frontiers Digit. Health 4 (2022) - [j10]Vangelis P. Oikonomou:
An Adaptive Task-Related Component Analysis Method for SSVEP Recognition. Sensors 22(20): 7715 (2022) - 2021
- [j9]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Corrections to "Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures". IEEE Access 9: 150213 (2021) - 2020
- [j8]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures. IEEE Access 8: 98572-98583 (2020) - [j7]Vangelis P. Oikonomou, Ioannis Kompatsiaris:
A Novel Bayesian Approach for EEG Source Localization. Comput. Intell. Neurosci. 2020: 8837954:1-8837954:12 (2020) - [j6]Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas:
Identification of Brain Functional Networks Using a Model-Based Approach. Int. J. Pattern Recognit. Artif. Intell. 34(8): 2057004:1-2057004:27 (2020) - 2019
- [j5]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection. IEEE J. Biomed. Health Informatics 23(5): 1990-2001 (2019) - 2013
- [j4]Vangelis P. Oikonomou, Konstantinos Blekas:
An Adaptive Regression Mixture Model for fMRI Cluster Analysis. IEEE Trans. Medical Imaging 32(4): 649-659 (2013) - 2012
- [j3]Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas:
A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis. IEEE Trans. Biomed. Eng. 59(1): 58-67 (2012) - 2010
- [j2]Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis:
Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise. IEEE Trans. Inf. Technol. Biomed. 14(3): 664-674 (2010) - 2007
- [j1]Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis:
A Kalman filter based methodology for EEG spike enhancement. Comput. Methods Programs Biomed. 85(2): 101-108 (2007)
Conference and Workshop Papers
- 2024
- [c24]I. Yfantidou, G. Tsourvakas, Vangelis P. Oikonomou, Ioannis Kompatsiaris:
Consumer Response to Different Discount Sales Promotional Messages. An Eye Tracking and EEG Experiment. EUSIPCO 2024: 962-966 - 2023
- [c23]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 - [c22]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
- [c21]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data. EUSIPCO 2022: 1308-1312 - 2021
- [c20]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Sparse Graph-based Representations of SSVEP Responses Under the Variational Bayesian Framework. BIBE 2021: 1-6 - [c19]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 - 2020
- [c18]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Novel Regression-based Algorithm for the recognition of SSVEP responses. BIBE 2020: 519-522 - 2019
- [c17]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Motor Imagery Classification via Clustered-Group Sparse Representation. BIBE 2019: 321-325 - [c16]Vangelis P. Oikonomou, Ioannis Kompatsiaris:
Sparse EEG Source Localization Under the Variational Bayesian Framework. BIBE 2019: 598-602 - [c15]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Discrimination of SSVEP responses using a kernel based approach. EMBC 2019: 762-766 - [c14]Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Novel Compressive Sensing Scheme under the Variational Bayesian Framework. EUSIPCO 2019: 1-5 - 2018
- [c13]Vangelis P. Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, Ioannis Kompatsiaris:
Sparse Kernel Machines for motor imagery EEG classification. EMBC 2018: 207-210 - [c12]Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas:
Functional Connectivity in Parkinson Disease Through Mixture Modelling. IVMSP 2018: 1-5 - 2017
- [c11]Vangelis P. Oikonomou, Kostas Georgiadis, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Comparison Study on EEG Signal Processing Techniques Using Motor Imagery EEG Data. CBMS 2017: 781-786 - [c10]Vangelis P. Oikonomou, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Sparse Bayesian Learning for Multiclass Classification with Application to SSVEP- BCI. GBCIC 2017 - [c9]Anastasios Maronidis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Steady state visual evoked potential detection using Subclass Marginal Fisher Analysis. NER 2017: 37-41 - [c8]Vangelis P. Oikonomou, Anastasios Maronidis, George Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Sparse Bayesian Learning for subject independent classification with application to SSVEP-BCI. NER 2017: 600-604 - 2013
- [c7]Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas:
Resting state fMRI analysis using a spatial regression mixture model. BIBE 2013: 1-4 - [c6]Vangelis P. Oikonomou, Jirí Spilka, Chrysostomos D. Stylios, Lenka Lhotská:
An adaptive method for the recovery of missing samples from FHR time series. CBMS 2013: 337-342 - [c5]Jirí Spilka, George K. Georgoulas, Petros S. Karvelis, Vangelis P. Oikonomou, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská, Petr Janku:
Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. ITBAM 2013: 47-61 - 2010
- [c4]Vangelis P. Oikonomou, Konstantinos Blekas:
A Sparse Spatial Linear Regression Model for fMRI Data Analysis. SETN 2010: 203-212 - 2009
- [c3]Vangelis P. Oikonomou, Dimitrios I. Fotiadis:
A template-based method for the estimation of Event Related Potentials using the Bayesian linear model. DPS 2009: 1-6 - 2008
- [c2]Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis:
A sparse variational Bayesian approach for fMRI data analysis. BIBE 2008: 1-6 - 2006
- [c1]Alexandros T. Tzallas, Vangelis P. Oikonomou, Dimitrios I. Fotiadis:
Epileptic Spike Detection Using a Kalman Filter Based Approach. EMBC 2006: 501-504
Data and Artifacts
- 2020
- [d1]Ioulietta Lazarou, Kostas Georgiadis, Spiros Nikolopoulos, Vangelis P. Oikonomou, Ioannis Kompatsiaris:
Resting-State High-Density EEG using EGI GES 300 with 256 Channels of Healthy Elders, People with Subjective and Mild Cognitive Impairment and Alzheimer's Disease. Zenodo, 2020
Informal and Other Publications
- 2022
- [i2]Vangelis P. Oikonomou:
An Adaptive Task-Related Component Analysis Method for SSVEP recognition. CoRR abs/2204.08030 (2022) - 2016
- [i1]Vangelis P. Oikonomou, Georgios Liaros, Kostantinos Georgiadis, Elisavet Chatzilari, Katerina Adam, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs. CoRR abs/1602.00904 (2016)
Coauthor Index
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