Shaibal Barua

According to our database, Shaibal Barua authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement.

Md. Alamgir Kabir, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study.

Christophe Hurter, Augustin Degas, Arnaud Guibert, Maelan Poyer, Nicolas Durand, Alexandre Veyrie, Ana Ferreira, Nicola Cavagnetto, Stefano Bonelli, Mobyen Uddin Ahmed, Waleed Jmoona, Shaibal Barua, Shahina Begum, Giulia Cartocci, Gianluca Di Flumeri, Gianluca Borghini, Fabio Babiloni, Pietro Aricò

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data.

Arnab Barua, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Andrea Giorgi

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

When a CBR in Hand is Better than Twins in the Bush.

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber

CoRR, 2023

Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction.

Waleed Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira, Nicola Cavagnetto

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

When a CBR in Hand Better than Twins in the Bush.

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021

Vision-Based Driver's Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning.

Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, Shahina Begum

Sensors, 2021

2020

Non-contact-based driver's cognitive load classification using physiological and vehicular parameters.

Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum

Biomed. Signal Process. Control., 2020

2019

Multivariate Data Analytics to Identify Driver's Sleepiness, Cognitive load, and Stress.

Shaibal Barua

PhD thesis, 2019

Automatic driver sleepiness detection using EEG, EOG and contextual information.

Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström, Shahina Begum

Expert Syst. Appl., 2019

Hypothyroid Disease Diagnosis with Causal Explanation using Case-based Reasoning and Domain-specific Ontology.

Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers' Mental Workload Classification.

Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri

Proceedings of the Human Mental Workload: Models and Applications, 2019

2018

Automated EEG Artifact Handling With Application in Driver Monitoring.

Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström, Shahina Begum, Peter Funk

IEEE J. Biomed. Health Informatics, 2018

2017

Classifying Drivers' Cognitive Load Using EEG Signals.

Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum

Proceedings of the pHealth 2017, 2017

Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics.

Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

Distributed Multivariate Physiological Signal Analytics for Drivers' Mental State Monitoring.

Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum

Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

2016

Intelligent Automated EEG Artifacts Handling Using Wavelet Transform, Independent Component Analysis and Hierarchal Clustering.

Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the Wireless Mobile Communication and Healthcare, 2016

A Case-Based Classification for Drivers' Alcohol Detection Using Physiological Signals.

Hamidur Rahman, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Bertil Hök

Proceedings of the Internet of Things Technologies for HealthCare, 2016

Driver's State Monitoring: A Case Study on Big Data Analytics.

Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the Internet of Things Technologies for HealthCare, 2016

2015

Clustering based Approach for Automated EEG Artifacts Handling.

Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals.

Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Proceedings of the pHealth 2015, 2015

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera.

Hamidur Rahman, Shaibal Barua, Shahina Begum

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning.

Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed

Sensors, 2014

Classification of physiological signals for wheel loader operators using Multi-scale Entropy analysis and case-based reasoning.

Shahina Begum, Shaibal Barua, Reno Filla, Mobyen Uddin Ahmed

Expert Syst. Appl., 2014