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Dive into the research topics where Siamac Fazli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Generative Machine Learning for Drug Discovery
Fazli, S., Molnar, F., Zazybin, A., Peshkov, V., Zollanvari, A. & Müller, K.
1/1/23 → 12/31/25
Project: FDCRGP
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Brain-Computer Interface to Exoskeleton System Design for Personalized Upper-Limb Rehabilitation after Stroke
Abibullaev, B., Shintemirov, A., Fazli, S., Zollanvari, A., Daribayev, Z. & Kaiyrzhanov, R.
1/1/21 → 12/31/23
Project: FDCRGP
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Human xenosensor CAR as novel target for treatment of metabolic disorders.
Molnar, F., Fazli, S., Pogosyan, G. & Suleimen, Y.
1/1/20 → 12/31/23
Project: CRP
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Interpretable artificial intelligence for detection of psychiatric disorders based on multi-modal neuroimaging data
Lee, M., Fazli, S. & Viderman, D.
1/1/20 → 12/31/22
Project: FDCRGP
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Neural-assisted optimization of human learning with multi-modal neuroimaging of EEG and NIRS
Fazli, S., Abibullaev, B., Müller, K. & Wallraven, C.
1/1/20 → 12/31/22
Project: FDCRGP
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On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition
Mukhamediya, A., Fazli, S. & Zollanvari, A., 2023, In: IEEE Access. 11, p. 61950-61957 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing water security in Central Asia through a Delphi method and a clustering analysis
Assubayeva, A., Xenarios, S., Li, A. & Fazli, S., Oct 20 2022, In: Frontiers in Environmental Science. 10, 970633.Research output: Contribution to journal › Article › peer-review
Open Access -
Explainable machine learning for memory-related decoding via TabNet and non-linear features∗
Mametkulov, M., Artykbayev, A., Koishigarina, D., Kenessova, A., Razikhova, K., Kang, T., Wallraven, C. & Fazli, S., 2022, 10th International Winter Conference on Brain-Computer Interface, BCI 2022. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2022-February).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks
Bang, J. S., Lee, M. H., Fazli, S., Guan, C. & Lee, S. W., 2021, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. 33, 7, p. 3038-3049 12 p.Research output: Contribution to journal › Article › peer-review
24 Citations (Scopus) -
Transmol: Repurposing a language model for molecular generation
Zhumagambetov, R., Molnár, F., Peshkov, V. A. & Fazli, S., Jul 22 2021, In: RSC Advances. 11, 42, p. 25921-25932 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)