A wavelet based method for detecting and localizing epileptic neural spikes in EEG. - Berdakh Abibullaev; Hee Don Seo; Won-Seok Kang; Jinung An (ICIS, 2009)

Epileptic Seizures Detection Using Continuous Time Wavelet Based Artificial Neural Networks. - Berdakh Abibullaev; Hee Don Seo (ITNG, 2009)

A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram. - Berdakh Abibullaev; Won-Seok Kang; Seung-Hyun Lee; Jinung An (Adv. Inf. Sci. Serv. Sci., 2010)

Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines. - Berdakh Abibullaev; Won-Seok Kang; Seung-Hyun Lee; Jinung An (Int. J. Adv. Comp. Techn., 2010)

Epileptic Spike Detection Using Continuous Wavelet Transforms and Artificial Neural Networks. - Berdakh Abibullaev; Hee Don Seo; Min Soo Kim 004 (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Seizure Detection in Temporal Lobe Epileptic EEGs Using the Best Basis Wavelet Functions. - Berdakh Abibullaev; Min Soo Kim 004; Hee Don Seo (J. Medical Syst., 2010)

A New QRS Detection Method Using Wavelets and Artificial Neural Networks. - Berdakh Abibullaev; Hee Don Seo (J. Medical Syst., 2011)

Decision Support Algorithm for Diagnosis of ADHD Using Electroencephalograms. - Berdakh Abibullaev; Jinung An (J. Medical Syst., 2012)

The beginning of neurohaptics: Controlling cognitive interaction via brain haptic interface. - Jinung An; Seung Hyun Lee; Sang Hyeon Jin; Berdakh Abibullaev; Gwanghee Jang; Jaehyun Ahn; Hyunju Lee; Jeon-Il Moon (BCI, 2013)

Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: An fNIRS pilot study. - Jinung An; Sang Hyeon Jin; Seung Hyun Lee; Gwanghee Jang; Berdakh Abibullaev; Hyunju Lee; Jeon-Il Moon (EMBC, 2013)

A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI. - Berdakh Abibullaev; Jinung An; Seung-Hyun Lee; R. S. Jamisola; Jeon-Il Moon (CoRR, 2013)

On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel ν-SVM. - Berdakh Abibullaev; Jinung An (IROS, 2016)

Learning suite of kernel feature spaces enhances SMR-based EEG-BCI classification. - Berdakh Abibullaev (BCI, 2017)

Design and evaluation of a P300-ERP based BCI system for real-time control of a mobile robot. - Damir Nurseitov; Abzal Serekov; Almas Shintemirov; Berdakh Abibullaev (BCI, 2017)

fNIRS motion artifact correction for overground walking using entropy based unbalanced optode decision and wavelet regression neural network. - Gihyoun Lee; Sang Hyeon Jin; Seung Hyun Lee; Berdakh Abibullaev; Jinung An (MFI, 2017)

Design and evaluation of a P300 visual brain-computer interface speller in cyrillic characters. - Arailym Zhumadilova; Dana Tokmurzina; Akbay Kuderbekov; Berdakh Abibullaev (RO-MAN, 2017)

Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal. - Gihyoun Lee; Sang Hyeon Jin; Seong Tae Yang; Jinung An; Berdakh Abibullaev (BCI, 2018)

Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networks. - Artemiy Oleinikov; Berdakh Abibullaev; Almas Shintemirov; Michele Folgheraiter (BCI, 2018)

Trained by demonstration humanoid robot controlled via a BCI system for telepresence. - Batyrkhan Saduanov; Tohid Alizadeh; Jinung An; Berdakh Abibullaev (BCI, 2018)

Brain-Computer Interface Humanoid Pre-trained for Interaction with People. - Batyrkhan Saduanov; Dana Tokmurzina; Tohid Alizadeh; Berdakh Abibullaev (HRI (Companion), 2018)

Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. - Berdakh Abibullaev; Yerzhan Orazayev; Amin Zollanvari (BCI, 2019)

Deep Learning Models for Subject-Independent ERP-based Brain-Computer Interfaces. - Adilet Tuleuov; Berdakh Abibullaev (NER, 2019)

Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. - Berdakh Abibullaev; Amin Zollanvari; Batyrkhan Saduanov; Tohid Alizadeh (IEEE Access, 2019)

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification. - Amin Zollanvari; Muratkhan Abdirash; Aresh Dadlani; Berdakh Abibullaev (IEEE Signal Process. Lett., 2019)

Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. - Berdakh Abibullaev; Amin Zollanvari (IEEE J. Biomed. Health Informatics, 2019)

Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance. - Batyrkhan Saduanov; Dana Tokmurzina; Kassymzhomart Kunanbayev; Berdakh Abibullaev (BCI, 2020)

On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic Device. - Artemiy Oleinikov; Berdakh Abibullaev; Michele Folgheraiter (EMBC, 2020)

A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. - Berdakh Abibullaev; Irina Dolzhikova; Amin Zollanvari (IEEE Access, 2020)

Deep Transfer Learning for Subject-Independent ERP-based BCIs. - Kassymzhomart Kunanbayev; Dias Azhigulov; Berdakh Abibullaev; Amin Zollanvari (BCI, 2021)

Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. - Kassymzhomart Kunanbayev; Berdakh Abibullaev; Amin Zollanvari (BCI, 2021)

An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. - Irina Dolzhikova; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (EMBC, 2021)

Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery? - Yassawe Kainolda; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (EMBC, 2021)

A System For Drivers' Cognitive Load Estimation Based On Deep Convolutional Neural Networks and Facial Feature Analysis. - Shyngyskhan Abilkassov; Merey Kairgaliyev; Bauyrzhan Zhakanov; Berdakh Abibullaev (ICIT, 2021)

A Novel Human-Robot Interaction Framework Based on Telegram and Programming by Demonstration. - Mukhamet Nurpeiissov; Berdakh Abibullaev; Tohid Alizadeh (RiTA, 2021)

Bias correction for linear discriminant analysis. - Amin Zollanvari; Berdakh Abibullaev (Pattern Recognit. Lett., 2021)

Event-Related Potentials (P300, EEG) - BCI dataset. - Berdakh Abibullaev; Amin Zollanvari (IEEE DataPort, 2021)

An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. - Irina Dolzhikova; Berdakh Abibullaev; Amin Zollanvari (BCI, 2022)

Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. - Irina Dolzhikova; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (IEEE Access, 2022)

Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects. - Berdakh Abibullaev; Kassymzhomart Kunanbayev; Amin Zollanvari (IEEE Trans. Hum. Mach. Syst., 2022)

A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. - Berdakh Abibullaev; Amin Zollanvari (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Explainable Deep Learning for Brain-Computer Interfaces through Layerwise Relevance Propagation. - Vladislav Mun; Berdakh Abibullaev (BCI, 2023)

Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models. - Aigerim Keutayeva; Berdakh Abibullaev (IHCI (1), 2023)

Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. - Berdakh Abibullaev; Aigerim Keutayeva; Amin Zollanvari (IEEE Access, 2023)

Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs. - Aigerim Keutayeva; Berdakh Abibullaev (IEEE Access, 2023)

A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. - Irina Dolzhikova; Berdakh Abibullaev; Amin Zollanvari (Pattern Recognit. Lett., 2023)

Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey. - Aigerim Keutayeva; Berdakh Abibullaev (IEEE Access, 2024)

Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces. - Aigerim Keutayeva; China Jesse Nwachukwu; Muslim Alaran; Zhenis Otarbay; Berdakh Abibullaev (IEEE Access, 2025)