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ORCIDBerdakh Abibullaev
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2020 – today
- 2024
[j18]Aigerim Keutayeva
, Berdakh Abibullaev:
Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey. IEEE Access 12: 62628-62647 (2024)- 2023
- [j17]Aigerim Keutayeva, Berdakh Abibullaev:
Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs. IEEE Access 11: 107562-107580 (2023) - [j16]Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari:
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. IEEE Access 11: 127271-127301 (2023) - [j15]Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari:
A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. Pattern Recognit. Lett. 176: 28-33 (2023) - [c26]Vladislav Mun, Berdakh Abibullaev:
Explainable Deep Learning for Brain-Computer Interfaces through Layerwise Relevance Propagation. BCI 2023: 1-5 - [c25]Aigerim Keutayeva, Berdakh Abibullaev:
Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models. IHCI (1) 2023: 245-254 - 2022
- [j14]Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. IEEE Access 10: 81355-81363 (2022) - [j13]Berdakh Abibullaev, Kassymzhomart Kunanbayev, Amin Zollanvari:
Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects. IEEE Trans. Hum. Mach. Syst. 52(5): 843-854 (2022) - [j12]Berdakh Abibullaev, Amin Zollanvari:
A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 2744-2756 (2022) - [c24]Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari:
An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. BCI 2022: 1-4 - 2021
- [j11]Amin Zollanvari, Berdakh Abibullaev:
Bias correction for linear discriminant analysis. Pattern Recognit. Lett. 151: 41-47 (2021) - [c23]Kassymzhomart Kunanbayev, Dias Azhigulov, Berdakh Abibullaev, Amin Zollanvari:
Deep Transfer Learning for Subject-Independent ERP-based BCIs. BCI 2021: 1-3 - [c22]Kassymzhomart Kunanbayev, Berdakh Abibullaev, Amin Zollanvari:
Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. BCI 2021: 1-7 - [c21]Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. EMBC 2021: 319-324 - [c20]Yassawe Kainolda, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery? EMBC 2021: 910-914 - [c19]Shyngyskhan Abilkassov, Merey Kairgaliyev, Bauyrzhan Zhakanov, Berdakh Abibullaev:
A System For Drivers' Cognitive Load Estimation Based On Deep Convolutional Neural Networks and Facial Feature Analysis. ICIT 2021: 994-1000 - [c18]Mukhamet Nurpeiissov, Berdakh Abibullaev, Tohid Alizadeh:
A Novel Human-Robot Interaction Framework Based on Telegram and Programming by Demonstration. RiTA 2021: 498-507 - [d1]Berdakh Abibullaev, Amin Zollanvari:
Event-Related Potentials (P300, EEG) - BCI dataset. IEEE DataPort, 2021
- 2020
- [j10]Berdakh Abibullaev, Irina Dolzhikova, Amin Zollanvari:
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. IEEE Access 8: 101014-101023 (2020) - [c17]Batyrkhan Saduanov, Dana Tokmurzina, Kassymzhomart Kunanbayev, Berdakh Abibullaev:
Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance. BCI 2020: 1-5 - [c16]Artemiy Oleinikov, Berdakh Abibullaev, Michele Folgheraiter:
On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic Device. EMBC 2020: 686-689
2010 – 2019
- 2019
- [j9]Berdakh Abibullaev, Amin Zollanvari, Batyrkhan Saduanov, Tohid Alizadeh:
Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. IEEE Access 7: 111625-111636 (2019) - [j8]Amin Zollanvari, Muratkhan Abdirash, Aresh Dadlani, Berdakh Abibullaev:
Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification. IEEE Signal Process. Lett. 26(9): 1300-1304 (2019) - [j7]Berdakh Abibullaev, Amin Zollanvari:
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 23(5): 2009-2020 (2019) - [c15]Berdakh Abibullaev, Yerzhan Orazayev, Amin Zollanvari:
Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. BCI 2019: 1-4 - [c14]Adilet Tuleuov, Berdakh Abibullaev:
Deep Learning Models for Subject-Independent ERP-based Brain-Computer Interfaces. NER 2019: 945-948 - 2018
- [c13]Gihyoun Lee, Sang Hyeon Jin, Seong Tae Yang, Jinung An, Berdakh Abibullaev:
Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal. BCI 2018: 1-3 - [c12]Artemiy Oleinikov, Berdakh Abibullaev, Almas Shintemirov, Michele Folgheraiter:
Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networks. BCI 2018: 1-5 - [c11]Batyrkhan Saduanov, Tohid Alizadeh, Jinung An, Berdakh Abibullaev:
Trained by demonstration humanoid robot controlled via a BCI system for telepresence. BCI 2018: 1-4 - [c10]Batyrkhan Saduanov, Dana Tokmurzina, Tohid Alizadeh, Berdakh Abibullaev:
Brain-Computer Interface Humanoid Pre-trained for Interaction with People. HRI (Companion) 2018: 229-230 - 2017
- [c9]Berdakh Abibullaev:
Learning suite of kernel feature spaces enhances SMR-based EEG-BCI classification. BCI 2017: 55-59 - [c8]Damir Nurseitov, Abzal Serekov, Almas Shintemirov, Berdakh Abibullaev:
Design and evaluation of a P300-ERP based BCI system for real-time control of a mobile robot. BCI 2017: 115-120 - [c7]Gihyoun Lee, Sang Hyeon Jin, Seung Hyun Lee, Berdakh Abibullaev, Jinung An:
fNIRS motion artifact correction for overground walking using entropy based unbalanced optode decision and wavelet regression neural network. MFI 2017: 186-193 - [c6]Arailym Zhumadilova, Dana Tokmurzina, Akbay Kuderbekov, Berdakh Abibullaev:
Design and evaluation of a P300 visual brain-computer interface speller in cyrillic characters. RO-MAN 2017: 1006-1011 - 2016
- [c5]Berdakh Abibullaev, Jinung An:
On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel ν-SVM. IROS 2016: 3063-3068 - 2013
- [c4]Jinung An, Seung Hyun Lee, Sang Hyeon Jin, Berdakh Abibullaev, Gwanghee Jang, Jaehyun Ahn, Hyunju Lee, Jeon-Il Moon:
The beginning of neurohaptics: Controlling cognitive interaction via brain haptic interface. BCI 2013: 103-106 - [c3]Jinung An, Sang Hyeon Jin, Seung Hyun Lee, Gwanghee Jang, Berdakh Abibullaev, Hyunju Lee, Jeon-Il Moon:
Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: An fNIRS pilot study. EMBC 2013: 6345-6348 - [i1]Berdakh Abibullaev, Jinung An, Seung-Hyun Lee, R. S. Jamisola, Jeon-Il Moon:
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI. CoRR abs/1308.4017 (2013) - 2012
- [j6]Berdakh Abibullaev, Jinung An:
Decision Support Algorithm for Diagnosis of ADHD Using Electroencephalograms. J. Medical Syst. 36(4): 2675-2688 (2012) - 2011
- [j5]Berdakh Abibullaev, Hee Don Seo:
A New QRS Detection Method Using Wavelets and Artificial Neural Networks. J. Medical Syst. 35(4): 683-691 (2011) - 2010
- [j4]Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee, Jinung An:
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram. Adv. Inf. Sci. Serv. Sci. 2(2): 84-92 (2010) - [j3]Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee, Jinung An:
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines. Int. J. Adv. Comp. Techn. 2(2): 24-34 (2010) - [j2]Berdakh Abibullaev, Hee Don Seo, Min Soo Kim:
Epileptic Spike Detection Using Continuous Wavelet Transforms and Artificial Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. 8(1): 33-48 (2010) - [j1]Berdakh Abibullaev, Min Soo Kim, Hee Don Seo:
Seizure Detection in Temporal Lobe Epileptic EEGs Using the Best Basis Wavelet Functions. J. Medical Syst. 34(4): 755-765 (2010)
2000 – 2009
- 2009
- [c2]Berdakh Abibullaev, Hee Don Seo, Won-Seok Kang, Jinung An:
A wavelet based method for detecting and localizing epileptic neural spikes in EEG. ICIS 2009: 702-707 - [c1]Berdakh Abibullaev, Hee Don Seo:
Epileptic Seizures Detection Using Continuous Time Wavelet Based Artificial Neural Networks. ITNG 2009: 1456-1461
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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