Vangelis P. Oikonomou

According to our database, Vangelis P. Oikonomou authored at least 40 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Vangelis P. Oikonomou, Kostas Georgiadis, Fotis Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris

Sensors, March, 2023

Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals.

Vangelis P. Oikonomou

Sensors, March, 2023

Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding.

Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris

Proceedings of the Brain Informatics - 16th International Conference, 2023

Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry.

Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris

Proceedings of the Brain Informatics - 16th International Conference, 2023

2022

An Adaptive Task-Related Component Analysis Method for SSVEP Recognition.

Vangelis P. Oikonomou

Sensors, 2022

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.

Ioulietta Lazarou, Spiros Nikolopoulos, Kostas Georgiadis, Vangelis P. Oikonomou, Agnes Mariakaki, Ioannis Kompatsiaris

Frontiers Digit. Health, 2022

^RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing.

Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris

Brain Informatics, 2022

A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Corrections to "Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures".

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

IEEE Access, 2021

Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach.

Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, Vangelis P. Oikonomou, Nikolaos A. Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris, Maria Panou, Andrei Dragomir, Anastasios Bezerianos

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sparse Graph-based Representations of SSVEP Responses Under the Variational Bayesian Framework.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

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.

Ioulietta Lazarou, Kostas Georgiadis, Spiros Nikolopoulos, Vangelis P. Oikonomou, Ioannis Kompatsiaris

Dataset, December, 2020

Identification of Brain Functional Networks Using a Model-Based Approach.

Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas

Int. J. Pattern Recognit. Artif. Intell., 2020

A Novel Bayesian Approach for EEG Source Localization.

Vangelis P. Oikonomou, Ioannis Kompatsiaris

Comput. Intell. Neurosci., 2020

Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

IEEE Access, 2020

A Novel Regression-based Algorithm for the recognition of SSVEP responses.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

IEEE J. Biomed. Health Informatics, 2019

A Novel Compressive Sensing Scheme under the Variational Bayesian Framework.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 27th European Signal Processing Conference, 2019

Discrimination of SSVEP responses using a kernel based approach.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Motor Imagery Classification via Clustered-Group Sparse Representation.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Sparse EEG Source Localization Under the Variational Bayesian Framework.

Vangelis P. Oikonomou, Ioannis Kompatsiaris

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Functional Connectivity in Parkinson Disease Through Mixture Modelling.

Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas

Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Sparse Kernel Machines for motor imagery EEG classification.

Vangelis P. Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, Ioannis Kompatsiaris

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Sparse Bayesian Learning for subject independent classification with application to SSVEP-BCI.

Vangelis P. Oikonomou, Anastasios Maronidis, George Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Steady state visual evoked potential detection using Subclass Marginal Fisher Analysis.

Anastasios Maronidis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Sparse Bayesian Learning for Multiclass Classification with Application to SSVEP- BCI.

Vangelis P. Oikonomou, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the From Vision to Reality, 2017

A Comparison Study on EEG Signal Processing Techniques Using Motor Imagery EEG Data.

Vangelis P. Oikonomou, Kostas Georgiadis, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016

Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs.

Vangelis P. Oikonomou, Georgios Liaros, Kostantinos Georgiadis, Elisavet Chatzilari, Katerina Adam, Spiros Nikolopoulos, Ioannis Kompatsiaris

CoRR, 2016

2013

An Adaptive Regression Mixture Model for fMRI Cluster Analysis.

Vangelis P. Oikonomou, Konstantinos Blekas

IEEE Trans. Medical Imaging, 2013

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database.

Jirí Spilka, George K. Georgoulas, Petros S. Karvelis, Vangelis P. Oikonomou, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská, Petr Janku

Proceedings of the Information Technology in Bio- and Medical Informatics, 2013

An adaptive method for the recovery of missing samples from FHR time series.

Vangelis P. Oikonomou, Jirí Spilka, Chrysostomos D. Stylios, Lenka Lhotská

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Resting state fMRI analysis using a spatial regression mixture model.

Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012

A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis.

Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas

IEEE Trans. Biomed. Eng., 2012

2010

Μπεϋζιανές μέθοδοι ανάλυσης και επεξεργασίας βιοϊατρικού σήματος και εικόνας

Vangelis P. Oikonomou

PhD thesis, 2010

Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise.

Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis

IEEE Trans. Inf. Technol. Biomed., 2010

A Sparse Spatial Linear Regression Model for fMRI Data Analysis.

Vangelis P. Oikonomou, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Theories, 2010

2009

A template-based method for the estimation of Event Related Potentials using the Bayesian linear model.

Vangelis P. Oikonomou, Dimitrios I. Fotiadis

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008

A sparse variational Bayesian approach for fMRI data analysis.

Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

A Kalman filter based methodology for EEG spike enhancement.

Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis

Comput. Methods Programs Biomed., 2007

2006

Epileptic Spike Detection Using a Kalman Filter Based Approach.

Alexandros T. Tzallas, Vangelis P. Oikonomou, Dimitrios I. Fotiadis

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006