Performance evaluation of PCA-based spike sorting algorithms. - Dimitrios A. Adamos; Efstratios K. Kosmidis; George Theophilidis (Comput. Methods Programs Biomed., 2008)

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)

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)

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)

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)

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

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)

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)

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

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)