Md. Rabiul Islam

Orcid: 0000-0002-4514-8370

Affiliations:
  • University of Texas Health Science Center at Houston, TX, USA
  • Tokyo University of Agriculture and Technology, Japan (2014 - 2018)


According to our database1, Md. Rabiul Islam authored at least 22 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification.
IEEE Trans. Biomed. Eng., February, 2024

2023
Emotion Recognition Using Narrowband Spatial Features of Electroencephalography.
IEEE Access, 2023

2022
Epileptic seizure detection in EEG using mutual information-based best individual feature selection.
Expert Syst. Appl., 2022

2021
Trial Regeneration With Subband Signals for Motor Imagery Classification in BCI Paradigm.
IEEE Access, 2021

Frequency Recognition of Short-Time SSVEP Signal Using CORRCA-Based Spatio-Spectral Feature Fusion Framework.
IEEE Access, 2021

2020
Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography.
Sensors, 2020

Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy.
Entropy, 2020

Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal.
IEEE Access, 2020

Automatic Detection of Epileptic Focus in Ripple and Fast Ripple Bands of Interictal iEEG based on Multi-band Analysis.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Automatic Identification of Epileptic Focus on High-Frequency Components in Interictal iEEG.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Electroencephalography Based Motor Imagery Classification Using Unsupervised Feature Selection.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

Epileptic Seizure Detection from EEG Signals Using Multiband Features with Feedforward Neural Network.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

2017
Subband entropy-based features for clothing invariant human gait recognition.
Adv. Robotics, 2017

Classification of motor imagery BCI using multiband tangent space mapping.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016
Frequency recognition of steady-state visually evoked potentials using binary subband canonical correlation analysis with reduced dimension of reference signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
EEG signal enhancement using multivariate wavelet transform.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Frequency recognition for SSVEP-based BCI with data adaptive reference signals.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Frequency recognition for SSVEP-BCI using reference signals with dominant stimulus frequency.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2012
Artifact suppression from EEG signals using data adaptive time domain filtering.
Neurocomputing, 2012

Analysis of ECG signals Using Data-Adaptive Time Domain Filtering for Cardiovascular Disease Diagnosis.
Adv. Data Sci. Adapt. Anal., 2012

2010
Data adaptive analysis of ECG signals for cardiovascular disease diagnosis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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