Vangelis P. Oikonomou

43 papers B 2C 6Journal 16Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A hybrid neuromarketing approach exploiting EEG graph signal processing and gaze dynamic patterning. Brain Informatics Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Nikos Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris
2025	—	`conf`	Enhancing EEG-Based Neuromarketing with Attention mechanism and Riemannian Features. DSP Fotis P. Kalaganis, Kostas Georgiadis, Georgios Nousias, Vangelis P. Oikonomou, Nikos Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris
2024	—	`conf`	Consumer Response to Different Discount Sales Promotional Messages. An Eye Tracking and EEG Experiment. EUSIPCO Ioanna Yfantidou, Georgios Tsourvakas, Vangelis P. Oikonomou, Ioannis Kompatsiaris
2024	—	`conf`	Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals. CAI Vangelis P. Oikonomou, Kostas Geordiadis, Fotis P. Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris
2023	J	`jnl`	A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing. Sensors Vangelis P. Oikonomou, Kostas Georgiadis, Fotis Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris
2023	—	`conf`	Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding. BI Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris
2023	—	`conf`	Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry. BI Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris
2023	J	`jnl`	Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals. Sensors Vangelis P. Oikonomou
2022	—	`conf`	A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data. EUSIPCO Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2022	J	`jnl`	An Adaptive Task-Related Component Analysis Method for SSVEP Recognition. Sensors Vangelis P. Oikonomou
2022	J	`jnl`	An Adaptive Task-Related Component Analysis Method for SSVEP recognition. CoRR Vangelis P. Oikonomou
2022	J	`jnl`	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 Ioulietta Lazarou, Spiros Nikolopoulos, Kostas Georgiadis, Vangelis P. Oikonomou, Agnes Mariakaki, Ioannis Kompatsiaris
2021	J	`jnl`	Corrections to "Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures". IEEE Access Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2021	—	`conf`	Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach. EMBC Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, Vangelis P. Oikonomou, Nikolaos A. Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris, Maria Panou, Andrei Dragomir, Anastasios Bezerianos
2021	C	`conf`	Sparse Graph-based Representations of SSVEP Responses Under the Variational Bayesian Framework. BIBE Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2020	J	`jnl`	A Novel Bayesian Approach for EEG Source Localization. Comput. Intell. Neurosci. Vangelis P. Oikonomou, Ioannis Kompatsiaris
2020	C	`conf`	A Novel Regression-based Algorithm for the recognition of SSVEP responses. BIBE Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2020	J	`jnl`	Identification of Brain Functional Networks Using a Model-Based Approach. Int. J. Pattern Recognit. Artif. Intell. Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
2020	J	`jnl`	Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures. IEEE Access Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2019	J	`jnl`	A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection. IEEE J. Biomed. Health Informatics Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2019	—	`conf`	A Novel Compressive Sensing Scheme under the Variational Bayesian Framework. EUSIPCO Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2019	—	`conf`	Discrimination of SSVEP responses using a kernel based approach. EMBC Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2019	C	`conf`	Motor Imagery Classification via Clustered-Group Sparse Representation. BIBE Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2019	C	`conf`	Sparse EEG Source Localization Under the Variational Bayesian Framework. BIBE Vangelis P. Oikonomou, Ioannis Kompatsiaris
2018	—	`conf`	Functional Connectivity in Parkinson Disease Through Mixture Modelling. IVMSP Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas
2018	—	`conf`	Sparse Kernel Machines for motor imagery EEG classification. EMBC Vangelis P. Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, Ioannis Kompatsiaris
2017	B	`conf`	A Comparison Study on EEG Signal Processing Techniques Using Motor Imagery EEG Data. CBMS Vangelis P. Oikonomou, Kostas Georgiadis, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris
2017	—	`conf`	Sparse Bayesian Learning for Multiclass Classification with Application to SSVEP- BCI. GBCIC Vangelis P. Oikonomou, Georgios Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris
2017	—	`conf`	Sparse Bayesian Learning for subject independent classification with application to SSVEP-BCI. NER Vangelis P. Oikonomou, Anastasios Maronidis, George Liaros, Spiros Nikolopoulos, Ioannis Kompatsiaris
2017	—	`conf`	Steady state visual evoked potential detection using Subclass Marginal Fisher Analysis. NER Anastasios Maronidis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
2016	J	`jnl`	Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs. CoRR Vangelis P. Oikonomou, Georgios Liaros, Kostantinos Georgiadis, Elisavet Chatzilari, Katerina Adam, Spiros Nikolopoulos, Ioannis Kompatsiaris
2013	J	`jnl`	An Adaptive Regression Mixture Model for fMRI Cluster Analysis. IEEE Trans. Medical Imaging Vangelis P. Oikonomou, Konstantinos Blekas
2013	B	`conf`	An adaptive method for the recovery of missing samples from FHR time series. CBMS Vangelis P. Oikonomou, Jirí Spilka, Chrysostomos D. Stylios, Lenka Lhotská
2013	—	`conf`	Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. ITBAM Jirí Spilka, George K. Georgoulas, Petros S. Karvelis, Vangelis P. Oikonomou, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská, Petr Janku
2013	C	`conf`	Resting state fMRI analysis using a spatial regression mixture model. BIBE Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
2012	J	`jnl`	A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis. IEEE Trans. Biomed. Eng. Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
2010	—	`conf`	A Sparse Spatial Linear Regression Model for fMRI Data Analysis. SETN Vangelis P. Oikonomou, Konstantinos Blekas
2010	J	`jnl`	Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise. IEEE Trans. Inf. Technol. Biomed. Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis
2010	—	`—`	Μπεϋζιανές μέθοδοι ανάλυσης και επεξεργασίας βιοϊατρικού σήματος και εικόνας Vangelis P. Oikonomou
2009	—	`conf`	A template-based method for the estimation of Event Related Potentials using the Bayesian linear model. DPS Vangelis P. Oikonomou, Dimitrios I. Fotiadis
2008	C	`conf`	A sparse variational Bayesian approach for fMRI data analysis. BIBE Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis
2007	J	`jnl`	A Kalman filter based methodology for EEG spike enhancement. Comput. Methods Programs Biomed. Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis
2006	—	`conf`	Epileptic Spike Detection Using a Kalman Filter Based Approach. EMBC Alexandros T. Tzallas, Vangelis P. Oikonomou, Dimitrios I. Fotiadis