MULTIVARIATE DATA ANALYTICS TO IDENTIFY DRIVER’S SLEEPINESS, COGNITIVE LOAD, AND STRESS (Feb 2019) Shaibal Barua
Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals (Oct 2015) Shaibal Barua
Machine Learning Models for Industrial Applications (Feb 2021) Enislay Ramentol , Tomas Olsson, Shaibal Barua AI and Learning Systems - Industrial Applications and Future Directions (intechopen)
Artificial Intelligence, Machine learning and Reasoning in Health Informatics – Case Studies (Aug 2020) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Signal Processing Techniques for Computational Health Informatics (SPT)
Artificial Intelligence, Machine learning and Reasoning in Health Informatics – An Overview (Aug 2020) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Signal Processing Techniques for Computational Health Informatics (SPT)
A Systematic Review of Explainable Artificial Intelligence in terms of Different Application Domains and Tasks (Jan 2022) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Applied Sciences (ApplSci)
A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory (Jan 2022) Augustin Degas , Mir Riyanul Islam, Christophe Hurter , Shaibal Barua, Hamidur Rahman, Minesh Poudel , Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò Applied Sciences (ApplSci)
Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning (Nov 2021) Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, Shahina Begum Special Issue on Deep Learning in Biomedical Informatics and Healthcare (Sensors)
Study on Human Subjects - Influence of Stress and Alcohol in Simulated Traffic Situations (Jul 2021) Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Bertil Hök, Emma Jonforsen , Shahina Begum Open Research Europe (ORE)
Data Analytics using Statistical Methods and Machine Learning: A Case Study of Power Transfer Units (Mar 2021) Sharmin Sultana Sheuly, Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed, Ekrem Güclü , Michael Osbakk International Journal of Advanced Manufacturing Technology (IJAMT)
Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification (Aug 2020) Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum Brain Sciences (Special Issue: Brain Plasticity, Cognitive Training and Mental States Assessment) (Brain Sci)
A Novel Mutual Information based Feature Set for Drivers’ Mental Workload Evaluation using Machine Learning (Aug 2020) Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Pietro Aricò , Gianluca Borghini , Gianluca Di Flumeri Brain Sciences (Special Issue: Brain Plasticity, Cognitive Training and Mental States Assessment) (Brain Sci)
Non-contact-based Driver's Cognitive Load Classification using Physiological and Vehicular Parameters (Nov 2019) Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Biomedical Signal Processing and Control (BSPC)
Automatic Driver Sleepiness Detection using EEG, EOG and Contextual Information (Jan 2019) Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström , Shahina Begum Expert Systems with Applications: X (ESWA: X)
Automated EEG Artifact Handling with Application in Driver Monitoring (Nov 2017) Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström , Shahina Begum, Peter Funk IEEE Journal of Biomedical and Health Informatics (J-BHI)
In-Vehicle Stress Monitoring Based on EEG Signal (Jul 2017) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed International Journal of Engineering Research and Applications (IJERA)
Physiological Sensor Signals Classification for Healthcare using Sensor Data Fusion and Case-Based Reasoning (Jul 2014) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed Sensors (Special Issue on Sensors Data Fusion for Healthcare) (Sensors)
Classification of Physiological Signals for Wheel Loader Operators Using Multi-Scale Entropy Analysis and Case-Based Reasoning (Feb 2014) Shahina Begum, Shaibal Barua, Reno Filla , Mobyen Uddin Ahmed Expert Systems with Applications (ESA)
Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction (Jun 2023) Waleed Reafee Sbu Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira , Nicola Cavagnetto 19th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
Usage of more transparent and explainable conflict resolution algorithm: air traffic controller feedback (Oct 2022) Christophe Hurter , Augustin Degas , Arnaud Guibert , Nicolas Durand , Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Pietro Aricò , Fabio Babiloni Conference of the European Association for Aviation Psychology (EAAP22)
When a CBR in Hand is Better than Twins in the Bush (Sep 2022) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems (XCBR)
Transparent Artificial Intelligence and Automation to Air Traffic Management Systems: Conflict Detection and Resolution (Aug 2022) Christophe Hurter , Augustin Degas , Mir Riyanul Islam, Shaibal Barua, Hamidur Rahman, Minesh Poudel , Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Pietro Aricò , Fabio Babiloni International Conference on Cognitive Aircraft Systems ICCAS (ICCAS2022)
Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers' Mental Workload Classification (Nov 2019) Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri The 3rd International Symposium on Human Mental Workload: Models and Applications (H-WORKLOAD 2019)
Intelligent Data Analytics for Maintenance in Industry 4.0 (Oct 2019) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Ekrem Güclü , Manasi Jayapal , Sharmin Sultana Sheuly
Hypothyroid Disease Diagnosis with Causal Explanation using Case-based Reasoning and Domain-specific Ontology (Sep 2019) Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed Workshop on CBR in the Health Science (WHS ICCBR 2019)
Causality in Explainable AI for Medical Applications (May 2019) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed SciLifeLab Science Summit 2019 (SciLifeLab)
Drivers' Sleepiness Classification using Machine Learning with Physiological and Contextual data (Mar 2019) Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019)
Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy - A Machine Learning Approach (Aug 2018) Mobyen Uddin Ahmed, Peter Andersson , Tim Andersson , Elena Tomas Aparicio , Hampus Baaz , Shaibal Barua, Albert Bergström , Daniel Bengtsson , Jan Skvaril, Jesús Zambrano 10th International Conference on Applied Energy (ICAE2018)
Towards Distributed k-NN similarity for Scalable Case Retrieval (Jul 2018) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed The Third Workshop on Synergies between CBR and Machine Learning ( CBRML 2018)
Distributed Multivariate Physiological Signal Analytics for Drivers’ Mental State Monitoring (Oct 2017) Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)
Scalable Framework for Distributed Case-based Reasoning for Big data analytics (Oct 2017) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)
Food4You: A Personalized System for Adaptive Mealtime Situations for Elderly (Oct 2017) Shahina Begum, Birgitta Kerstis , Shaibal Barua, Hanna Westerlund , Cecilia Hjortsberg Medicinteknikdagarna 2017 (MTD 2017)
Classifying drivers’ cognitive load using EEG signals (May 2017) Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum 14th International Conference on Wearable, micro & Nano Technologies (pHealth2017)
A Case-Based Classification for Drivers’ Alcohol Detection Using Physiological Signals (Oct 2016) Hamidur Rahman, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Bertil Hök The 3rd EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'16)
Driver’s State Monitoring: A Case Study on Big Data Analytics (Oct 2016) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed The 3rd EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'16)
AUTOMATED EEG ARTIFACTS HANDLING FOR DRIVER SLEEPINESS MONITORING (Feb 2016) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed, Christer Ahlström 2nd International Symposium on Somnolence, Vigilance, and Safety (SomnoSafe2016)
Clustering based Approach for Automated EEG Artifacts Handling (Nov 2015) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed The 13th Scandinavian Conference on Artificial Intelligence (SCAI 2015)
Intelligent Automated EEG Artifacts Handling Using Wavelet Transform, Independent Component Analysis and Hierarchal clustering (Oct 2015) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed 1st Workshop on Embedded Sensor Systems for Health through Internet of Things (ESS-H IoT)
Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera (Sep 2015) Hamidur Rahman, Shaibal Barua, Shahina Begum IEEE 18th International Conference on Intelligent Transportation Systems (ITSC2015)
Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals (Jun 2015) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2015)
A Fusion Based System for Physiological Sensor Signal Classification (Oct 2014) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed, Peter Funk Medicinteknikdagarna 2014 (MTD10)
Classification of Ocular Artifacts in EEG Signals Using Hierarchical Clustering and Case-based Reasoning (Sep 2014) Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed, Peter Funk Workshop on Synergies between CBR and Data Mining at 22nd International Conference on Case-Based Reasoning (CBRDM'14)
A Review on Machine Learning Algorithms in Handling EEG Artifacts (May 2014) Shaibal Barua, Shahina Begum The Swedish AI Society (SAIS) Workshop (SAIS, 14)
EEG Sensor Based Classification for Assessing Psychological Stress (Jun 2013) Shahina Begum, Shaibal Barua 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health
Multi-Scale Entropy Analysis and Case-Based Reasoning to Classify Physiological Sensor Signals (Sep 2012) Shahina Begum, Mobyen Uddin Ahmed, Shaibal Barua workshop on CBR in the Health Sciences at 20th International Conference on Case-Based Reasoning, ICCBR12
Vehicle Driver Monitoring: sleepiness and cognitive load (May 2017) Emma Nilsson , Christer Ahlström , Shaibal Barua, Carina Fors , Per Lindén , Bo Svanberg , Shahina Begum, Mobyen Uddin Ahmed, Anna Anund Swedish National Road and Transport Research Institute (VTI) (VTI rapport 937A)