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ORCIDSiamac Fazli
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2020 – today
- 2023
[j12]Azamat Mukhamediya
, Siamac Fazli, Amin Zollanvari:
On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition. IEEE Access 11: 61950-61957 (2023)- 2022
- [j11]Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong-Whan Lee:
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3038-3049 (2022) - [c28]Maxim Mametkulov, Abay Artykbayev, Darina Koishigarina, Amina Kenessova, Kamilla Razikhova, Taeho Kang, Christian Wallraven, Siamac Fazli:
Explainable machine learning for memory-related decoding via TabNet and non-linear features∗. BCI 2022: 1-7 - [i3]Elizaveta Vinogradova, Abay Artykbayev, Alisher Amanatay, Mukhamejan Karatayev, Maxim Mametkulov, Albina Li, Anuar Suleimenov, Abylay Salimzhanov, Karina Pats, Rustam Zhumagambetov, Ferdinand Molnár, Vsevolod Peshkov, Siamac Fazli:
A biologically-inspired evaluation of molecular generative machine learning. CoRR abs/2208.09658 (2022) - [i2]Elizaveta Vinogradova, Karina Pats, Ferdinand Molnár, Siamac Fazli:
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks. CoRR abs/2209.06274 (2022) - [i1]Maxim Popov, Temirgali Aimyshev, Eldar Ismailov, Ablay Bulegenov, Siamac Fazli:
A Review of Modern Approaches for Coronary Angiography Imaging Analysis. CoRR abs/2209.13997 (2022) - 2020
- [c27]Albina Li, Kanat Alimanov, Siamac Fazli, Min-Ho Lee:
Towards Paradigm-Independent Brain Computer Interfaces. BCI 2020: 1-6 - [c26]Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli:
Inter-subject correlations during natural viewing: A filter-bank approach. EMBC 2020: 200-203 - [c25]Oleg Makaussov, Mikhail Krassavin, Maxim Zhabinets, Siamac Fazli:
A Low-Cost, IMU-Based Real-Time On Device Gesture Recognition Glove. SMC 2020: 3346-3351
2010 – 2019
- 2019
- [c24]Antonio Cerone, Siamac Fazli, Kathy L. Malone, Ahti-Veikko Pietarinen:
Interdisciplinary Aspects of Cognition. SEFM Workshops 2019: 103-118 - 2018
- [c23]Taeho Kang, Yiyu Chen, Siamac Fazli, Christian Wallraven:
Decoding of human memory formation with EEG signals using convolutional networks. BCI 2018: 1-5 - 2017
- [c22]Taeho Kang, Yiyu Chen, Siamac Fazli, Christian Wallraven:
Predicting What You Remember from Brain Activity: EEG-Based Decoding of Long-Term Memory Formation. Symbiotic 2017: 63-73 - 2016
- [j10]Myung-Cheol Roh, Siamac Fazli, Seong-Whan Lee:
Selective temporal filtering and its application to hand gesture recognition. Appl. Intell. 45(2): 255-264 (2016) - [j9]Yiyu Chen, Ayalneh Dessalegn Atnafu, Isabella Schlattner, Wendimagegn Tariku Weldtsadik, Myung-Cheol Roh, Hyoung Joong Kim, Seong-Whan Lee, Benjamin Blankertz, Siamac Fazli:
A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes. IEEE Trans. Inf. Forensics Secur. 11(12): 2635-2647 (2016) - [c21]Taeho Kang, Yiyu Chen, Doyeon Kim, Siamac Fazli:
EEG-based decoding of declarative memory formation. BCI 2016: 1-3 - [c20]Min-Ho Lee, Siamac Fazli, Keun-Tae Kim, Seong-Whan Lee:
Development of an open source platform for brain-machine interface: openBMI. BCI 2016: 1-2 - [c19]Min-Ho Lee, Keun-Tae Kim, Yeong-Jin Kee, Ji-Hoon Jeong, Seon-Min Kim, Siamac Fazli, Seong-Whan Lee:
OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. SMC 2016: 1884-1887 - 2015
- [j8]Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller:
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. Proc. IEEE 103(6): 891-906 (2015) - [j7]Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller:
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE 103(9): 1507-1530 (2015) - [j6]Min-Ho Lee, Siamac Fazli, Jan Mehnert, Seong-Whan Lee:
Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI. Pattern Recognit. 48(8): 2725-2737 (2015) - [c18]Yiyu Chen, Vincenzina Caputo, Rodolfo M. Nayga, Riccardo Scarpa, Siamac Fazli:
How visual attention affects choice outcomes: An eyetracking study. BCI 2015: 1-5 - [c17]Isabella Schlattner, Achim Leydecker, Felix Bießmann, Yiyu Chen, Siamac Fazli:
EEG-based neural decoding of Intelligence Questions. BCI 2015: 1-4 - 2014
- [c16]Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller:
Multimodal integration of electrophysiological and hemodynamic signals. BCI 2014: 1-4 - [c15]Min-Ho Lee, Siamac Fazli, Jan Mehnert, Seong-Whan Lee:
Hybrid brain-computer interface based on EEG and NIRS modalities. BCI 2014: 1-2 - [c14]Seul-Ki Yeom, Siamac Fazli, Seong-Whan Lee:
P300 visual speller based on random set presentation. BCI 2014: 1-2 - [c13]Seul-Ki Yeom, Siamac Fazli, Klaus-Robert Müller, Seong-Whan Lee:
Towards an enhanced ERP speller based on the visual processing of face familiarity. EMBC 2014: 1330-1333 - [c12]Achim Leydecker, Felix Bießmann, Siamac Fazli:
Single-trials ERPs predict correct answers to intelligence test questions. PRNI 2014: 1-4 - 2013
- [j5]Siamac Fazli, Seong-Whan Lee:
Brain Computer Interfacing: A Multi-Modal Perspective. J. Comput. Sci. Eng. 7(2): 132-138 (2013) - [j4]Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller:
Integration of Multivariate Data Streams With Bandpower Signals. IEEE Trans. Multim. 15(5): 1001-1013 (2013) - [c11]Min-Ho Lee, Siamac Fazli, Jan Mehnert, Seong-Whan Lee:
Improving the Performance of Brain-Computer Interface Using Multi-modal Neuroimaging. ACPR 2013: 511-515 - [c10]Siamac Fazli, Klaus-Robert Müller, Seong-Whan Lee, Benjamin Blankertz:
Tutorial on multimodal neuroimaging for brain-computer interfacing. BCI 2013: 1-2 - [c9]Anne K. Porbadnigk, Matthias Sebastian Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller:
Decoding cognitive brain states. BCI 2013: 16-18 - [c8]Seul-Ki Yeom, Siamac Fazli, Jan Mehnert, Benjamin Blankertz, Jens Steinbrink, Klaus-Robert Müller, Seong-Whan Lee:
Multimodal imaging technique for rapid response brain-computer interface feedback. BCI 2013: 92-94 - [c7]Min-Ho Lee, Siamac Fazli, Seong-Whan Lee:
Optimal channel selection based on statistical analysis in high dimensional NIRS data. BCI 2013: 95-97 - 2012
- [j3]Siamac Fazli, Jan Mehnert, Jens Steinbrink, Gabriel Curio, Arno Villringer, Klaus-Robert Müller, Benjamin Blankertz:
Enhanced performance by a hybrid NIRS-EEG brain computer interface. NeuroImage 59(1): 519-529 (2012) - [c6]Siamac Fazli, Jan Mehnert, Jens Steinbrink, Benjamin Blankertz:
Using NIRS as a predictor for EEG-based BCI performance. EMBC 2012: 4911-4914 - [c5]Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, O. Anatole von Lilienfeld, Klaus-Robert Müller:
Learning Invariant Representations of Molecules for Atomization Energy Prediction. NIPS 2012: 449-457 - 2011
- [b1]Siamac Fazli:
Advances in Neurotechnology for Brain Computer Interfaces. Berlin Institute of Technology, 2011 - [j2]Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller:
ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI. NeuroImage 56(4): 2100-2108 (2011) - [c4]Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller:
ℓ1-Penalized Linear Mixed-Effects Models for BCI. ICANN (1) 2011: 26-35 - 2010
- [p1]Siamac Fazli, Márton Danóczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller:
Using Rest Class and Control Paradigms for Brain Computer Interfacing. Brain-Computer Interfaces 2010: 55-70
2000 – 2009
- 2009
- [j1]Siamac Fazli, Florin Popescu, Márton Danóczy, Benjamin Blankertz, Klaus-Robert Müller, Cristian Grozea:
Subject-independent mental state classification in single trials. Neural Networks 22(9): 1305-1312 (2009) - [c3]Siamac Fazli, Márton Danóczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller:
Using Rest Class and Control Paradigms for Brain Computer Interfacing. IWANN (1) 2009: 651-665 - [c2]Siamac Fazli, Cristian Grozea, Márton Danóczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller:
Subject independent EEG-based BCI decoding. NIPS 2009: 513-521 - 2008
- [c1]Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Dónaczy, Gabriel Curio, Klaus-Robert Müller:
The Berlin Brain-Computer Interface. WCCI 2008: 79-101
Coauthor Index
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