Vector Nonlinear Data Depended Filters. - Spiros Fotopoulos; George Economou; Nikolaos A. Laskaris; Dimitris Sindoukas (ISCAS, 1994)

Latency measurement improvement of P100 complex in visual evoked potentials by FMH filters. - Spiros Fotopoulos; George Economou; Anastasios Bezerianos; Nikos Laskaris (IEEE Trans. Biomed. Eng., 1995)

Fuzzy - weighted averaging for high-resolution ECG based on exploratory data analysis. - Nikolaos A. Laskaris; Spiros Fotopoulos; Anastasios Bezerianos; A. Manolis (EUSIPCO, 1996)

Image enhancement using color and spatial information. - Spiros Fotopoulos; Dimitris Sindoukas; Nikolaos A. Laskaris; George Economou (ICASSP, 1997)

Algorithms for color image edge enhancement using potential functions. - Dimitris Sindoukas; Nikolaos A. Laskaris; Spiros Fotopoulos (IEEE Signal Process. Lett., 1997)

Fuzzy colour filtering using relative entropy. - A. Fotinos; Nikolaos A. Laskaris; Spiros Fotopoulos (EUSIPCO, 1998)

Multidimensional Fuzzy Filtering using Statistical Parameters. - A. Fotinos; Nikos Laskaris; George Economou; Spiros Fotopoulos (Multidimens. Syst. Signal Process., 1999)

Single-trial variability in early visual neuromagnetic responses: an explorative study based on the regional activation contributing to the N70m peak. - Nikolaos A. Laskaris; Lichan Liu; Andreas A. Ioannides (NeuroImage, 2003)

A similarity measure for color image retrieval and indexing based on the Multivariate Two Sample Problem. - Christos Theoharatos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (EUSIPCO, 2004)

Multivariate image segmentation using Laplacian Eigenmaps. - Ioannis Tziakos; Nikolaos A. Laskaris; Spiros Fotopoulos (EUSIPCO, 2004)

A novel training scheme for neural-network-based vector quantizers and its application in image compression. - Nikolaos A. Laskaris; Spiros Fotopoulos (Neurocomputing, 2004)

Mining information from event-related recordings. - Nikolaos A. Laskaris; Spiros Fotopoulos; Andreas A. Ioannides (IEEE Signal Process. Mag., 2004)

Color-based image retrieval using vector quantization and multivariate graph matching. - Christos Theoharatos; George Economou; Spiros Fotopoulos; Nikolaos A. Laskaris (ICIP (1), 2005)

A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test. - Christos Theoharatos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (IEEE Trans. Knowl. Data Eng., 2005)

Points of interest extraction using pairwise clustering and spatial features. - Dimitrios Besiris; Nikolaos A. Laskaris; Evangelos Zigouris; George Economou; Spiros Fotopoulos (EUSIPCO, 2006)

Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval. - Christos Theoharatos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (Comput. Vis. Image Underst., 2006)

Multivariate image similarity in the compressed domain using statistical graph matching. - Christos Theoharatos; Vasileios K. Pothos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (Pattern Recognit., 2006)

Key frame extraction in video sequences: a vantage points approach. - Dimitrios Besiris; Nikolaos A. Laskaris; Fotini Fotopoulou; George Economou (MMSP, 2007)

On the Perceptual Organization of Image Databases Using Cognitive Discriminative Biplots. - Christos Theoharatos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (EURASIP J. Adv. Signal Process., 2007)

Charting of geoelectric potential signal dynamics via geometrical techniques and its possible relation to significant earthquakes in Western Greece. - Christos Theoharatos; Apostolos Ifantis; Nikolaos A. Laskaris; George Economou (Comput. Geosci., 2008)

Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure. - Nikolaos A. Laskaris; Stefanos Zafeiriou (Pattern Recognit., 2008)

On the Improvement of Support Vector Techniques for Clustering by Means of Whitening Transform. - Stefanos Zafeiriou; Nikolaos A. Laskaris (IEEE Signal Process. Lett., 2008)

Using conditional FCM to mine event-related brain dynamics. - Christos N. Zigkolis; Nikolaos A. Laskaris (Comput. Biol. Medicine, 2009)

Color image segmentation using Laplacian eigenmaps. - Ioannis Tziakos; Christos Theoharatos; Nikolaos A. Laskaris; George Economou (J. Electronic Imaging, 2009)

Use of random time-intervals (RTIs) generation for biometric verification. - Nikolaos A. Laskaris; Stefanos Zafeiriou; Lambrini Garefa (Pattern Recognit., 2009)

A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation. - Konstantinos Bozas; Stavros I. Dimitriadis; Nikolaos A. Laskaris; Areti Tzelepi (ICANN (2), 2010)

Nonnegative Embeddings and Projections for Dimensionality Reduction and Information Visualization. - Stefanos Zafeiriou; Nikolaos A. Laskaris (ICPR, 2010)

Go with the Winner: Optimizing Detection of Modular Organization Differences in Dynamic Functional Brain Networks. - Stavros I. Dimitriadis; Nikolaos A. Laskaris; Areti Tzelepi (SITIS, 2012)

Source Space Analysis of Event-Related Dynamic Reorganization of Brain Networks. - Andreas A. Ioannides; Stavros I. Dimitriadis; George A. Saridis; Marotesa Voultsidou; Vahe Poghosyan; Lichan Liu; Nikolaos A. Laskaris (Comput. Math. Methods Medicine, 2012)

In quest of the missing neuron: Spike sorting based on dominant-sets clustering. - Dimitrios A. Adamos; Nikolaos A. Laskaris; Efstratios K. Kosmidis; George Theophilidis (Comput. Methods Programs Biomed., 2012)

Analyzing Functional Brain Connectivity by Means of Commute Times: A New Approach and its Application to Track Event-Related Dynamics. - Stavros I. Dimitriadis; Nikolaos A. Laskaris; Areti Tzelepi; George Economou (IEEE Trans. Biomed. Eng., 2012)

Mani-Web: Large-Scale Web Graph Embedding via Laplacian Eigenmap Approximation. - Konstantinos Stamos; Nikolaos A. Laskaris; Athena Vakali (IEEE Trans. Syst. Man Cybern. Part C, 2012)

On The Comparison of VR-Responses, as Performance Measures in Prospective Memory, with Auditory P300 Responses in MCI Detection. - Ioannis A. Tarnanas; Nikos Laskaris; Magda Tsolaki (Annual Review of Cybertherapy and Telemedicine, 2012)

Querying functional brain connectomics to discover consistent subgraph patterns. - Nantia D. Iakovidou; Stavros I. Dimitriadis; Nikolaos A. Laskaris; Kostas Tsichlas (BIBE, 2013)

A tensorial approach to access cognitive workload related to mental arithmetic from EEG functional connectivity estimates. - Stavros I. Dimitriadis; Yu Sun 014; Kenneth Kwok; Nikolaos A. Laskaris; Anastasios Bezerianos (EMBC, 2013)

Incorporating resting state dynamics in the analysis of encephalographic responses by means of the Mahalanobis-Taguchi strategy. - Dimitris Liparas; Nikolaos A. Laskaris; Lefteris Angelis (Expert Syst. Appl., 2013)

Altered temporal correlations in resting-state connectivity fluctuations in children with reading difficulties detected via MEG. - Stavros I. Dimitriadis; Nikolaos A. Laskaris; Panagiotis G. Simos; Sifis Micheloyannis; Jack M. Fletcher; Roozbeh Rezaie; Andrew C. Papanicolaou (NeuroImage, 2013)

Advanced leaf image retrieval via Multidimensional Embedding Sequence Similarity (MESS) method. - Fotini Fotopoulou; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos (Pattern Anal. Appl., 2013)

A novel single-trial methodology for studying brain response variability based on archetypal analysis. - Athina Tsanousa; Nikolaos A. Laskaris; Lefteris Angelis (Expert Syst. Appl., 2015)

A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service "Taking Listener's Brainwaves to Extremes". - Fotis Kalaganis; Dimitrios A. Adamos; Nikos Laskaris (AIAI, 2016)

Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data. - Stavros I. Dimitriadis; Panagiotis G. Simos; Nikolaos A. Laskaris; Spiros Fotopoulos; Jack M. Fletcher; David E. J. Linden; Andrew C. Papanicolaou (ISSPIT, 2016)

Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference. - Dimitrios A. Adamos; Stavros I. Dimitriadis; Nikolaos A. Laskaris (Inf. Sci., 2016)

An Error Aware SSVEP-based BCI. - Fotis Kalaganis; Elisavet Chatzilari; Kostas Georgiadis; Spiros Nikolopoulos; Nikos Laskaris; Yiannis Kompatsiaris (CBMS, 2017)

A Collaborative Representation Approach to Detecting Error-Related Potentials in SSVEP-BCIs. - Fotis P. Kalaganis; Elisavet Chatzilari; Spiros Nikolopoulos; Nikos Laskaris; Yiannis Kompatsiaris (ACM Multimedia (Thematic Workshops), 2017)

Towards an affordable brain computer interface for the assessment of programmers' mental workload. - Makrina Viola Kosti; Kostas Georgiadis; Dimitrios A. Adamos; Nikos Laskaris; Diomidis Spinellis; Lefteris Angelis (Int. J. Hum. Comput. Stud., 2018)

Musical NeuroPicks: A consumer-grade BCI for on-demand music streaming services. - Fotis P. Kalaganis; Dimitrios A. Adamos; Nikolaos A. Laskaris (Neurocomputing, 2018)

A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset. - Nantia D. Iakovidou; Nikolaos A. Laskaris; Kostas Tsichlas; Yannis Manolopoulos; Manolis Christodoulakis; Eleftherios S. Papathanasiou; Savvas S. Papacostas; Georgios D. Mitsis (Theor. Comput. Sci., 2018)

Using Discriminative Lasso to Detect a Graph Fourier Transform (GFT) Subspace for robust decoding in Motor Imagery BCI. - Kostas Georgiadis; Nikos Laskaris; Spiros Nikolopoulos; Dimitrios A. Adamos; Ioannis Kompatsiaris (EMBC, 2019)

A graph-theoretic sensor-selection scheme for covariance-based Motor Imagery (MI) decoding. - Kostas Georgiadis; Dimitrios A. Adamos; Spiros Nikolopoulos; Nikos Laskaris; Ioannis Kompatsiaris (EUSIPCO, 2020)

A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain-Computer Interfaces. - Fotis P. Kalaganis; Nikolaos A. Laskaris; Elisavet Chatzilari; Spiros Nikolopoulos; Ioannis Kompatsiaris (IEEE Access, 2020)

A Tutorial on Graph Theory for Brain Signal Analysis. - Nikolaos A. Laskaris; Dimitrios A. Adamos; Anastasios Bezerianos (CoRR, 2020)

A Riemannian Geometry Approach to Reduced and Discriminative Covariance Estimation in Brain Computer Interfaces. - Fotis P. Kalaganis; Nikos Laskaris; Elisavet Chatzilari; Spiros Nikolopoulos; Ioannis Kompatsiaris (IEEE Trans. Biomed. Eng., 2020)

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)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters. - Siegfried Ludwig; Stylianos Bakas; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2021)

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)

Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. - Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; Nikolaos A. Laskaris; Dimitrios A. Adamos; Stefanos Zafeiriou (CoRR, 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)

Latent Alignment with Deep Set EEG Decoders. - Stylianos Bakas; Siegfried Ludwig; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2023)

Assessing Video Advertising Engagement via Nonlinear Intersubject Correlation Analysis of EEG and Eye Tracking Dynamics. - Kostas Georgiadis; Fotis P. Kalaganis; Nikos Laskaris; Spiros Nikolopoulos; Ioannis Kompatsiaris (EUSIPCO, 2024)

Decoding Consumer Behavior: A Neuroscientific Exploration of Personality Traits Through EEG Functional Connectivity. - Maria Kyrou; Fotis P. Kalaganis; Kostas Georgiadis; Spiros Nikolopoulos; Nikos Laskaris; 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)

Decoding Visual Art Preferences From EEG Signals Using Wavelet Scattering Transform. - Maria Kyrou; Nikos Laskaris; Panagiotis C. Petrantonakis; Fotis P. Kalaganis; Kostas Georgiadis; Spiros Nikolopoulos; Ioannis Kompatsiaris (DSP, 2025)

Unsupervised detection of sub-sequence anomalies in epilepsy EEG. - Theodoros Toliopoulos; Anastasios Gounaris; Nikos Laskaris (Comput. Biol. Medicine, 2025)

Advancing Brainwave Modeling with a Codebook-Based Foundation Model. - Konstantinos Barmpas; Na Lee; Yannis Panagakis; Dimitrios A. Adamos; Nikolaos A. Laskaris; Stefanos Zafeiriou (CoRR, 2025)

Are Large Brainwave Foundation Models Capable Yet? Insights from Fine-tuning. - Na Lee; Konstantinos Barmpas; Yannis Panagakis; Dimitrios A. Adamos; Nikolaos A. Laskaris; Stefanos Zafeiriou (CoRR, 2025)