Shaibal Barua
Shaibal Barua
PhD in Computer Science, Mälardalen University
Verified email at - Homepage
Cited by
Cited by
A systematic review of explainable artificial intelligence in terms of different application domains and tasks
MR Islam, MU Ahmed, S Barua, S Begum
Applied Sciences 12 (3), 1353, 2022
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies
MU Ahmed, S Barua, S Begum
Signal Processing Techniques for Computational Health Informatics, 261-291, 2021
Automatic driver sleepiness detection using EEG, EOG and contextual information
S Barua, MU Ahmed, C Ahlström, S Begum
Expert systems with applications 115, 121-135, 2019
Physiological sensor signals classification for healthcare using sensor data fusion and case-based reasoning
S Begum, S Barua, MU Ahmed
Sensors 14 (7), 11770-11785, 2014
A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
A Degas, MR Islam, C Hurter, S Barua, H Rahman, M Poudel, D Ruscio, ...
Applied Sciences 12 (3), 1295, 2022
A review on machine learning algorithms in handling EEG artifacts
S Barua, S Begum
The Swedish AI Society (SAIS) Workshop SAIS, 14, 22-23 May 2014, Stockholm …, 2014
Classification of physiological signals for wheel loader operators using multi-scale entropy analysis and case-based reasoning
S Begum, S Barua, R Filla, MU Ahmed
Expert systems with applications 41 (2), 295-305, 2014
A novel mutual information based feature set for drivers’ mental workload evaluation using machine learning
MR Islam, S Barua, MU Ahmed, S Begum, P Aricò, G Borghini, ...
Brain Sciences 10 (8), 551, 2020
Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters
H Rahman, MU Ahmed, S Barua, S Begum
Biomedical Signal Processing and Control 55, 101634, 2020
Towards intelligent data analytics: A case study in driver cognitive load classification
S Barua, MU Ahmed, S Begum
Brain sciences 10 (8), 526, 2020
Classifying Drivers' Cognitive Load Using EEG Signals.
S Barua, MU Ahmed, S Begum
pHealth, 99-106, 2017
Automated EEG artifact handling with application in driver monitoring
S Barua, MU Ahmed, C Ahlstrom, S Begum, P Funk
IEEE journal of biomedical and health informatics 22 (5), 1350-1361, 2017
Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals.
S Barua, S Begum, MU Ahmed
pHealth, 241-248, 2015
A machine learning approach for biomass characterization
MU Ahmed, P Andersson, T Andersson, ET Aparicio, H Baaz, S Barua, ...
Energy Procedia 158, 1279-1287, 2019
Intelligent driver monitoring based on physiological sensor signals: Application using camera
H Rahman, S Barua, B Shahina
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
Vehicle Driver Monitoring: sleepiness and cognitive load
E Nilsson, C Ahlström, S Barua, C Fors, P Lindén, B Svanberg, S Begum, ...
Statens väg-och transportforskningsinstitut, 2017
Vision-based driver’s cognitive load classification considering eye movement using machine learning and deep learning
H Rahman, MU Ahmed, S Barua, P Funk, S Begum
Sensors 21 (23), 8019, 2021
Deep learning for automatic EEG feature extraction: an application in drivers’ mental workload classification
MR Islam, S Barua, MU Ahmed, S Begum, G Di Flumeri
Human Mental Workload: Models and Applications: Third International …, 2019
Data analytics using statistical methods and machine learning: a case study of power transfer units
SS Sheuly, S Barua, S Begum, MU Ahmed, E Güclü, M Osbakk
The International Journal of Advanced Manufacturing Technology 114, 1859-1870, 2021
Multivariate data analytics to identify driver’s sleepiness, cognitive load, and stress
S Barua
Mälardalen University, 2019
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