Vangelis P. Oikonomou

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 28

Top Topics

Multiple Kernel Learning

Multiclass Classification

Bayesian Framework

Top Venues

Publications

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)
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) (2023)
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)
Vangelis P. Oikonomou
Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals. Sensors 23 (5) (2023)
Vangelis P. Oikonomou
An Adaptive Task-Related Component Analysis Method for SSVEP Recognition. Sensors 22 (20) (2022)
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)
Vangelis P. Oikonomou
An Adaptive Task-Related Component Analysis Method for SSVEP recognition. CoRR (2022)
Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris
NeuMark: A Riemannian EEG Analysis Framework for Neuromarketing. Brain Informatics 9 (1) (2022)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data. EUSIPCO (2022)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Sparse Graph-based Representations of SSVEP Responses Under the Variational Bayesian Framework. BIBE (2021)
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)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Corrections to "Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures". IEEE Access 9 (2021)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures. IEEE Access 8 (2020)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
A Novel Regression-based Algorithm for the recognition of SSVEP responses. BIBE (2020)
Vangelis P. Oikonomou, Ioannis Kompatsiaris
A Novel Bayesian Approach for EEG Source Localization. Comput. Intell. Neurosci. 2020 (2020)
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) (2020)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Discrimination of SSVEP responses using a kernel based approach. EMBC (2019)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Motor Imagery Classification via Clustered-Group Sparse Representation. BIBE (2019)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
A Novel Compressive Sensing Scheme under the Variational Bayesian Framework. EUSIPCO (2019)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Vangelis P. Oikonomou, Ioannis Kompatsiaris
Sparse EEG Source Localization Under the Variational Bayesian Framework. BIBE (2019)
Vangelis P. Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, Ioannis Kompatsiaris
Sparse Kernel Machines for motor imagery EEG classification. EMBC (2018)
Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas
Functional Connectivity in Parkinson Disease Through Mixture Modelling. IVMSP (2018)
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)
Anastasios Maronidis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Steady state visual evoked potential detection using Subclass Marginal Fisher Analysis. NER (2017)
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)
Vangelis P. Oikonomou, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris
Sparse Bayesian Learning for Multiclass Classification with Application to SSVEP- BCI. GBCIC (2017)
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 (2016)
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)
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)
Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
Resting state fMRI analysis using a spatial regression mixture model. BIBE (2013)
Vangelis P. Oikonomou, Konstantinos Blekas
An Adaptive Regression Mixture Model for fMRI Cluster Analysis. IEEE Trans. Medical Imaging 32 (4) (2013)
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) (2012)
Vangelis P. Oikonomou, Konstantinos Blekas
A Sparse Spatial Linear Regression Model for fMRI Data Analysis. SETN (2010)
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) (2010)
Vangelis P. Oikonomou, Dimitrios I. Fotiadis
A template-based method for the estimation of Event Related Potentials using the Bayesian linear model. DPS (2009)
Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis
A sparse variational Bayesian approach for fMRI data analysis. BIBE (2008)
Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis
A Kalman filter based methodology for EEG spike enhancement. Comput. Methods Programs Biomed. 85 (2) (2007)