The Berlin Brain-Computer Interface. - Benjamin Blankertz; Michael Tangermann; Florin Popescu; Matthias Krauledat; Siamac Fazli; Márton Dónaczy; Gabriel Curio; Klaus-Robert Müller (WCCI, 2008)

Using Rest Class and Control Paradigms for Brain Computer Interfacing. - Siamac Fazli; Márton Danóczy; Florin Popescu; Benjamin Blankertz; Klaus-Robert Müller (IWANN (1), 2009)

Subject independent EEG-based BCI decoding. - Siamac Fazli; Cristian Grozea; Márton Danóczy; Benjamin Blankertz; Florin Popescu; Klaus-Robert Müller (NIPS, 2009)

Subject-independent mental state classification in single trials. - Siamac Fazli; Florin Popescu; Márton Danóczy; Benjamin Blankertz; Klaus-Robert Müller; Cristian Grozea (Neural Networks, 2009)

Using Rest Class and Control Paradigms for Brain Computer Interfacing. - Siamac Fazli; Márton Danóczy; Florin Popescu; Benjamin Blankertz; Klaus-Robert Müller (Brain-Computer Interfaces, 2010)

ℓ1-Penalized Linear Mixed-Effects Models for BCI. - Siamac Fazli; Márton Danóczy; Jürg Schelldorfer; Klaus-Robert Müller (ICANN (1), 2011)

ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI. - Siamac Fazli; Márton Danóczy; Jürg Schelldorfer; Klaus-Robert Müller (NeuroImage, 2011)

Advances in Neurotechnology for Brain Computer Interfaces. - Siamac Fazli (2011)

Using NIRS as a predictor for EEG-based BCI performance. - Siamac Fazli; Jan Mehnert; Jens Steinbrink; Benjamin Blankertz (EMBC, 2012)

Learning Invariant Representations of Molecules for Atomization Energy Prediction. - Grégoire Montavon; Katja Hansen; Siamac Fazli; Matthias Rupp; Franziska Biegler; Andreas Ziehe; Alexandre Tkatchenko; O. Anatole von Lilienfeld; Klaus-Robert Müller (NIPS, 2012)

Enhanced performance by a hybrid NIRS-EEG brain computer interface. - Siamac Fazli; Jan Mehnert; Jens Steinbrink; Gabriel Curio; Arno Villringer; Klaus-Robert Müller; Benjamin Blankertz (NeuroImage, 2012)

Improving the Performance of Brain-Computer Interface Using Multi-modal Neuroimaging. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (ACPR, 2013)

Tutorial on multimodal neuroimaging for brain-computer interfacing. - Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee; Benjamin Blankertz (BCI, 2013)

Optimal channel selection based on statistical analysis in high dimensional NIRS data. - Min-Ho Lee; Siamac Fazli; Seong-Whan Lee (BCI, 2013)

Decoding cognitive brain states. - Anne K. Porbadnigk; Matthias Sebastian Treder; Siamac Fazli; Michael Tangermann; Carmen Vidaurre; Stefan Haufe; Gabriel Curio; Benjamin Blankertz; Klaus-Robert Müller (BCI, 2013)

Multimodal imaging technique for rapid response brain-computer interface feedback. - Seul-Ki Yeom; Siamac Fazli; Jan Mehnert; Benjamin Blankertz; Jens Steinbrink; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2013)

Brain Computer Interfacing: A Multi-Modal Perspective. - Siamac Fazli; Seong-Whan Lee (J. Comput. Sci. Eng., 2013)

Integration of Multivariate Data Streams With Bandpower Signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (IEEE Trans. Multim., 2013)

Multimodal integration of electrophysiological and hemodynamic signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (BCI, 2014)

Hybrid brain-computer interface based on EEG and NIRS modalities. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (BCI, 2014)

P300 visual speller based on random set presentation. - Seul-Ki Yeom; Siamac Fazli; Seong-Whan Lee (BCI, 2014)

Towards an enhanced ERP speller based on the visual processing of face familiarity. - Seul-Ki Yeom; Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee (EMBC, 2014)

Single-trials ERPs predict correct answers to intelligence test questions. - Achim Leydecker; Felix Bießmann; Siamac Fazli (PRNI, 2014)

How visual attention affects choice outcomes: An eyetracking study. - Yiyu Chen 002; Vincenzina Caputo; Rodolfo M. Nayga; Riccardo Scarpa; Siamac Fazli (BCI, 2015)

EEG-based neural decoding of Intelligence Questions. - Isabella Schlattner; Achim Leydecker; Felix Bießmann; Yiyu Chen 002; Siamac Fazli (BCI, 2015)

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. - Sven Dähne; Felix Bießmann; Wojciech Samek; Stefan Haufe; Dominique Goltz; Christopher Gundlach; Arno Villringer; Siamac Fazli; Klaus-Robert Müller (Proc. IEEE, 2015)

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. - Siamac Fazli; Sven Dähne; Wojciech Samek; Felix Bießmann; Klaus-Robert Müller (Proc. IEEE, 2015)

Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (Pattern Recognit., 2015)

EEG-based decoding of declarative memory formation. - Taeho Kang; Yiyu Chen 002; Doyeon Kim; Siamac Fazli (BCI, 2016)

Development of an open source platform for brain-machine interface: openBMI. - Min-Ho Lee; Siamac Fazli; Keun-Tae Kim; Seong-Whan Lee (BCI, 2016)

OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. - Min-Ho Lee; Keun-Tae Kim; Yeong-Jin Kee; Ji-Hoon Jeong; Seon-Min Kim; Siamac Fazli; Seong-Whan Lee (SMC, 2016)

Selective temporal filtering and its application to hand gesture recognition. - Myung-Cheol Roh; Siamac Fazli; Seong-Whan Lee (Appl. Intell., 2016)

A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes. - Yiyu Chen 002; Ayalneh Dessalegn Atnafu; Isabella Schlattner; Wendimagegn Tariku Weldtsadik; Myung-Cheol Roh; Hyoung Joong Kim; Seong-Whan Lee; Benjamin Blankertz; Siamac Fazli (IEEE Trans. Inf. Forensics Secur., 2016)

Predicting What You Remember from Brain Activity: EEG-Based Decoding of Long-Term Memory Formation. - Taeho Kang; Yiyu Chen 002; Siamac Fazli; Christian Wallraven (Symbiotic, 2017)

Decoding of human memory formation with EEG signals using convolutional networks. - Taeho Kang; Yiyu Chen 002; Siamac Fazli; Christian Wallraven (BCI, 2018)

Interdisciplinary Aspects of Cognition. - Antonio Cerone; Siamac Fazli; Kathy L. Malone; Ahti-Veikko Pietarinen (SEFM Workshops, 2019)

Towards Paradigm-Independent Brain Computer Interfaces. - Albina Li; Kanat Alimanov; Siamac Fazli; Min-Ho Lee (BCI, 2020)

Inter-subject correlations during natural viewing: A filter-bank approach. - Arslan Gait; Vladimir Duisenbinov; Min-Ho Lee; Felix Bießmann; Siamac Fazli (EMBC, 2020)

A Low-Cost, IMU-Based Real-Time On Device Gesture Recognition Glove. - Oleg Makaussov; Mikhail Krassavin; Maxim Zhabinets; Siamac Fazli (SMC, 2020)

Explainable machine learning for memory-related decoding via TabNet and non-linear features∗. - Maxim Mametkulov; Abay Artykbayev; Darina Koishigarina; Amina Kenessova; Kamilla Razikhova; Taeho Kang; Christian Wallraven; Siamac Fazli (BCI, 2022)

A biologically-inspired evaluation of molecular generative machine learning. - Elizaveta Vinogradova; Abay Artykbayev; Alisher Amanatay; Mukhamejan Karatayev; Maxim Mametkulov; Albina Li; Anuar Suleimenov; Abylay Salimzhanov; Karina Pats; Rustam Zhumagambetov; Ferdinand Molnár; Vsevolod Peshkov; et al. (CoRR, 2022)

MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks. - Elizaveta Vinogradova; Karina Pats; Ferdinand Molnár; Siamac Fazli (CoRR, 2022)

A Review of Modern Approaches for Coronary Angiography Imaging Analysis. - Maxim Popov; Temirgali Aimyshev; Eldar Ismailov; Ablay Bulegenov; Siamac Fazli (CoRR, 2022)

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. - Ji-Seon Bang; Min-Ho Lee; Siamac Fazli; Cuntai Guan; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition. - Azamat Mukhamediya; Siamac Fazli; Amin Zollanvari (IEEE Access, 2023)