Epileptic Spike Detection Using a Kalman Filter Based Approach. - Alexandros T. Tzallas; Vangelis P. Oikonomou; Dimitrios I. Fotiadis (EMBC, 2006)

A Kalman filter based methodology for EEG spike enhancement. - Vangelis P. Oikonomou; Alexandros T. Tzallas; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2007)

A sparse variational Bayesian approach for fMRI data analysis. - Vangelis P. Oikonomou; Evanthia E. Tripoliti; Dimitrios I. Fotiadis (BIBE, 2008)

A template-based method for the estimation of Event Related Potentials using the Bayesian linear model. - Vangelis P. Oikonomou; Dimitrios I. Fotiadis (DPS, 2009)

A Sparse Spatial Linear Regression Model for fMRI Data Analysis. - Vangelis P. Oikonomou; Konstantinos Blekas (SETN, 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)

Μπεϋζιανές μέθοδοι ανάλυσης και επεξεργασίας βιοϊατρικού σήματος και εικόνας - Vangelis P. Oikonomou (2010)

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)

Resting state fMRI analysis using a spatial regression mixture model. - Vangelis P. Oikonomou; Konstantinos Blekas; Loukas G. Astrakas (BIBE, 2013)

An adaptive method for the recovery of missing samples from FHR time series. - Vangelis P. Oikonomou; Jirí Spilka; Chrysostomos D. Stylios; Lenka Lhotská (CBMS, 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 (ITBAM, 2013)

An Adaptive Regression Mixture Model for fMRI Cluster Analysis. - Vangelis P. Oikonomou; Konstantinos Blekas (IEEE Trans. Medical Imaging, 2013)

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)

A Comparison Study on EEG Signal Processing Techniques Using Motor Imagery EEG Data. - Vangelis P. Oikonomou; Kostas Georgiadis; Georgios Liaros; Spiros Nikolopoulos; Ioannis Kompatsiaris (CBMS, 2017)

Sparse Bayesian Learning for Multiclass Classification with Application to SSVEP- BCI. - Vangelis P. Oikonomou; Georgios Liaros; Spiros Nikolopoulos; Ioannis Kompatsiaris (GBCIC, 2017)

Steady state visual evoked potential detection using Subclass Marginal Fisher Analysis. - Anastasios Maronidis; Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (NER, 2017)

Sparse Bayesian Learning for subject independent classification with application to SSVEP-BCI. - Vangelis P. Oikonomou; Anastasios Maronidis; George Liaros; Spiros Nikolopoulos; Ioannis Kompatsiaris (NER, 2017)

Sparse Kernel Machines for motor imagery EEG classification. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Panagiotis Petrantonakis; Ioannis Kompatsiaris (EMBC, 2018)

Functional Connectivity in Parkinson Disease Through Mixture Modelling. - Vangelis P. Oikonomou; Kostas Blekas; Loukas G. Astrakas (IVMSP, 2018)

Sparse EEG Source Localization Under the Variational Bayesian Framework. - Vangelis P. Oikonomou; Ioannis Kompatsiaris (BIBE, 2019)

Motor Imagery Classification via Clustered-Group Sparse Representation. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (BIBE, 2019)

Discrimination of SSVEP responses using a kernel based approach. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (EMBC, 2019)

A Novel Compressive Sensing Scheme under the Variational Bayesian Framework. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (EUSIPCO, 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 Regression-based Algorithm for the recognition of SSVEP responses. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (BIBE, 2020)

Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (IEEE Access, 2020)

A Novel Bayesian Approach for EEG Source Localization. - Vangelis P. Oikonomou; Ioannis Kompatsiaris (Comput. Intell. Neurosci., 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)

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 (Zenodo, 2020)

Sparse Graph-based Representations of SSVEP Responses Under the Variational Bayesian Framework. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (BIBE, 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 (EMBC, 2021)

Corrections to "Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures". - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (IEEE Access, 2021)

A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data. - Vangelis P. Oikonomou; Spiros Nikolopoulos; Ioannis Kompatsiaris (EUSIPCO, 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)

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)

An Adaptive Task-Related Component Analysis Method for SSVEP Recognition. - Vangelis P. Oikonomou (Sensors, 2022)

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 (BI, 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 (BI, 2023)

Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals. - Vangelis P. Oikonomou (Sensors, 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, 2023)

Consumer Response to Different Discount Sales Promotional Messages. An Eye Tracking and EEG Experiment. - I. Yfantidou; G. Tsourvakas; Vangelis P. Oikonomou; Ioannis Kompatsiaris (EUSIPCO, 2024)

Enhancing EEG-Based Neuromarketing with Attention mechanism and Riemannian Features. - Fotis P. Kalaganis; Kostas Georgiadis; Georgios Nousias; Vangelis P. Oikonomou; Nikos Laskaris; Spiros Nikolopoulos; Ioannis Kompatsiaris (DSP, 2025)