Nikolaos A. Laskaris

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 16

Top Topics

Spatial Filtering

Transfer Learning

Music Recommendation

Top Venues

Expert Syst. Appl.

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)
Stylianos Bakas, Siegfried Ludwig, Dimitrios A. Adamos, Nikolaos A. Laskaris, Yannis Panagakis, Stefanos Zafeiriou
Latent Alignment with Deep Set EEG Decoders. CoRR (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)
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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. 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)
Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. CoRR (2022)
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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Siegfried Ludwig, Stylianos Bakas, Dimitrios A. Adamos, Nikolaos A. Laskaris, Yannis Panagakis, Stefanos Zafeiriou
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters. CoRR (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)
Fotis P. Kalaganis, Nikolaos A. Laskaris, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris
A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain-Computer Interfaces. IEEE Access 8 (2020)
Nikolaos A. Laskaris, Dimitrios A. Adamos, Anastasios Bezerianos
A Tutorial on Graph Theory for Brain Signal Analysis. CoRR (2020)
Nantia D. Iakovidou, Nikolaos A. Laskaris, Kostas Tsichlas, Yannis Manolopoulos, Manolis Christodoulakis, Eleftherios S. Papathanasiou, Savvas S. Papacostas, Georgios D. Mitsis
A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset. Theor. Comput. Sci. 710 (2018)
Fotis P. Kalaganis, Dimitrios A. Adamos, Nikolaos A. Laskaris
Musical NeuroPicks: A consumer-grade BCI for on-demand music streaming services. Neurocomputing 280 (2018)
Stavros I. Dimitriadis, Panagiotis G. Simos, Nikolaos A. Laskaris, Spiros Fotopoulos, Jack M. Fletcher, David E. J. Linden, Andrew C. Papanicolaou
Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data. ISSPIT (2016)
Dimitrios A. Adamos, Stavros I. Dimitriadis, Nikolaos A. Laskaris
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference. Inf. Sci. (2016)
Dimitrios A. Adamos, Stavros I. Dimitriadis, Nikolaos A. Laskaris
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference. CoRR (2016)
Athina Tsanousa, Nikolaos A. Laskaris, Lefteris Angelis
A novel single-trial methodology for studying brain response variability based on archetypal analysis. Expert Syst. Appl. 42 (22) (2015)
Dimitris Liparas, Nikolaos A. Laskaris, Lefteris Angelis
Incorporating resting state dynamics in the analysis of encephalographic responses by means of the Mahalanobis-Taguchi strategy. Expert Syst. Appl. 40 (7) (2013)
Stavros I. Dimitriadis, Yu Sun, Kenneth Kwok, Nikolaos A. Laskaris, Anastasios Bezerianos
A tensorial approach to access cognitive workload related to mental arithmetic from EEG functional connectivity estimates. EMBC (2013)
Stavros I. Dimitriadis, Nikolaos A. Laskaris, Panagiotis G. Simos, Sifis Micheloyannis, Jack M. Fletcher, Roozbeh Rezaie, Andrew C. Papanicolaou
Altered temporal correlations in resting-state connectivity fluctuations in children with reading difficulties detected via MEG. NeuroImage 83 (2013)
Fotini Fotopoulou, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
Advanced leaf image retrieval via Multidimensional Embedding Sequence Similarity (MESS) method. Pattern Anal. Appl. 16 (3) (2013)
Nantia D. Iakovidou, Stavros I. Dimitriadis, Nikolaos A. Laskaris, Kostas Tsichlas
Querying functional brain connectomics to discover consistent subgraph patterns. BIBE (2013)
Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi, George Economou
Analyzing Functional Brain Connectivity by Means of Commute Times: A New Approach and its Application to Track Event-Related Dynamics. IEEE Trans. Biomed. Eng. 59 (5) (2012)
Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi
Go with the Winner: Optimizing Detection of Modular Organization Differences in Dynamic Functional Brain Networks. SITIS (2012)
Andreas A. Ioannides, Stavros I. Dimitriadis, George A. Saridis, Marotesa Voultsidou, Vahe Poghosyan, Lichan Liu, Nikolaos A. Laskaris
Source Space Analysis of Event-Related Dynamic Reorganization of Brain Networks. Comput. Math. Methods Medicine 2012 (2012)
Dimitrios A. Adamos, Nikolaos A. Laskaris, Efstratios K. Kosmidis, George Theophilidis
In quest of the missing neuron: Spike sorting based on dominant-sets clustering. Comput. Methods Programs Biomed. 107 (1) (2012)
Konstantinos Stamos, Nikolaos A. Laskaris, Athena Vakali
Mani-Web: Large-Scale Web Graph Embedding via Laplacian Eigenmap Approximation. IEEE Trans. Syst. Man Cybern. Part C 42 (6) (2012)
Konstantinos Bozas, Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi
A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation. ICANN (2) (2010)
Stefanos Zafeiriou, Nikolaos A. Laskaris
Nonnegative Embeddings and Projections for Dimensionality Reduction and Information Visualization. ICPR (2010)
Christos N. Zigkolis, Nikolaos A. Laskaris
Using conditional FCM to mine event-related brain dynamics. Comput. Biol. Medicine 39 (4) (2009)
Ioannis Tziakos, Christos Theoharatos, Nikolaos A. Laskaris, George Economou
Color image segmentation using Laplacian eigenmaps. J. Electronic Imaging 18 (2) (2009)
Nikolaos A. Laskaris, Stefanos Zafeiriou, Lambrini Garefa
Use of random time-intervals (RTIs) generation for biometric verification. Pattern Recognit. 42 (11) (2009)
Stefanos Zafeiriou, Nikolaos A. Laskaris
On the Improvement of Support Vector Techniques for Clustering by Means of Whitening Transform. IEEE Signal Process. Lett. 15 (2008)
Christos Theoharatos, Apostolos Ifantis, Nikolaos A. Laskaris, George Economou
Charting of geoelectric potential signal dynamics via geometrical techniques and its possible relation to significant earthquakes in Western Greece. Comput. Geosci. 34 (6) (2008)
Nikolaos A. Laskaris, Stefanos Zafeiriou
Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure. Pattern Recognit. 41 (8) (2008)
Christos Theoharatos, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
On the Perceptual Organization of Image Databases Using Cognitive Discriminative Biplots. EURASIP J. Adv. Signal Process. 2007 (2007)
Dimitrios Besiris, Nikolaos A. Laskaris, Fotini Fotopoulou, George Economou
Key frame extraction in video sequences: a vantage points approach. MMSP (2007)
Dimitrios Besiris, Nikolaos A. Laskaris, Evangelos Zigouris, George Economou, Spiros Fotopoulos
Points of interest extraction using pairwise clustering and spatial features. EUSIPCO (2006)
Christos Theoharatos, Vasileios K. Pothos, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
Multivariate image similarity in the compressed domain using statistical graph matching. Pattern Recognit. 39 (10) (2006)
Christos Theoharatos, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval. Comput. Vis. Image Underst. 102 (3) (2006)
Christos Theoharatos, George Economou, Spiros Fotopoulos, Nikolaos A. Laskaris
Color-based image retrieval using vector quantization and multivariate graph matching. ICIP (1) (2005)
Christos Theoharatos, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test. IEEE Trans. Knowl. Data Eng. 17 (6) (2005)
Nikolaos A. Laskaris, Spiros Fotopoulos, Andreas A. Ioannides
Mining information from event-related recordings. IEEE Signal Process. Mag. 21 (3) (2004)
Christos Theoharatos, Nikolaos A. Laskaris, George Economou, Spiros Fotopoulos
A similarity measure for color image retrieval and indexing based on the Multivariate Two Sample Problem. EUSIPCO (2004)
Ioannis Tziakos, Nikolaos A. Laskaris, Spiros Fotopoulos
Multivariate image segmentation using Laplacian Eigenmaps. EUSIPCO (2004)
Nikolaos A. Laskaris, Spiros Fotopoulos
A novel training scheme for neural-network-based vector quantizers and its application in image compression. Neurocomputing 61 (2004)
Nikolaos A. Laskaris, L. C. Liu, Andreas A. Ioannides
Single-trial variability in early visual neuromagnetic responses: an explorative study based on the regional activation contributing to the N70m peak. NeuroImage 20 (2) (2003)
A. Fotinos, Nikolaos A. Laskaris, Spiros Fotopoulos
Fuzzy colour filtering using relative entropy. EUSIPCO (1998)
Spiros Fotopoulos, Dimitris Sindoukas, Nikolaos A. Laskaris, George Economou
Image enhancement using color and spatial information. ICASSP (1997)
Dimitris Sindoukas, Nikolaos A. Laskaris, Spiros Fotopoulos
Algorithms for color image edge enhancement using potential functions. IEEE Signal Process. Lett. 4 (9) (1997)
Nikolaos A. Laskaris, Spiros Fotopoulos, Anastasios Bezerianos, A. Manolis
Fuzzy - weighted averaging for high-resolution ECG based on exploratory data analysis. EUSIPCO (1996)
Spiros Fotopoulos, George Economou, Nikolaos A. Laskaris, Dimitris Sindoukas
Vector Nonlinear Data Depended Filters. ISCAS (1994)