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)

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning. - Shahina Begum; Shaibal Barua; Mobyen Uddin Ahmed (Sensors, 2014)

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera. - Hamidur Rahman; Shaibal Barua; Shahina Begum (ITSC, 2015)

Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals. - Shaibal Barua; Shahina Begum; Mobyen Uddin Ahmed (pHealth, 2015)

Clustering based Approach for Automated EEG Artifacts Handling. - Shaibal Barua; Shahina Begum; Mobyen Uddin Ahmed (SCAI, 2015)

Driver's State Monitoring: A Case Study on Big Data Analytics. - Shaibal Barua; Shahina Begum; Mobyen Uddin Ahmed (HealthyIoT, 2016)

A Case-Based Classification for Drivers' Alcohol Detection Using Physiological Signals. - Hamidur Rahman; Shaibal Barua; Mobyen Uddin Ahmed; Shahina Begum; Bertil Hök (HealthyIoT, 2016)

Intelligent Automated EEG Artifacts Handling Using Wavelet Transform, Independent Component Analysis and Hierarchal Clustering. - Shaibal Barua; Shahina Begum; Mobyen Uddin Ahmed (MobiHealth, 2016)

Distributed Multivariate Physiological Signal Analytics for Drivers' Mental State Monitoring. - Shaibal Barua; Mobyen Uddin Ahmed; Shahina Begum (HealthyIoT, 2017)

Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics. - Shaibal Barua; Shahina Begum; Mobyen Uddin Ahmed (HealthyIoT, 2017)

Classifying Drivers' Cognitive Load Using EEG Signals. - Shaibal Barua; Mobyen Uddin Ahmed; Shahina Begum (pHealth, 2017)

Automated EEG Artifact Handling With Application in Driver Monitoring. - Shaibal Barua; Mobyen Uddin Ahmed; Christer Ahlström; Shahina Begum; Peter Funk 001 (IEEE J. Biomed. Health Informatics, 2018)

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 (H-WORKLOAD, 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 (ICCBR Workshops, 2019)

Automatic driver sleepiness detection using EEG, EOG and contextual information. - Shaibal Barua; Mobyen Uddin Ahmed; Christer Ahlström; Shahina Begum (Expert Syst. Appl., 2019)

Multivariate Data Analytics to Identify Driver's Sleepiness, Cognitive load, and Stress. - Shaibal Barua (2019)

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)

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 001; Shahina Begum (Sensors, 2021)

When a CBR in Hand Better than Twins in the Bush. - Mobyen Uddin Ahmed; Shaibal Barua; Shahina Begum; Mir Riyanul Islam; Rosina O. Weber (ICCBR Workshops, 2022)

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 004; Nicola Cavagnetto (AIAI (2), 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)

Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers. - Mobyen Uddin Ahmed; Shaibal Barua; Shahina Begum; Waleed Jmoona; Ricky Stanley D'Cruze; Alexandre Veyrie; Sara Kebir; Christophe Hurter (AICCC, 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 (ICAART (2), 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; Maëlan Poyer; Nicolas Durand 002; Alexandre Veyrie; Ana Ferreira 004; Nicola Cavagnetto; Stefano Bonelli; Mobyen Uddin Ahmed; Waleed Jmoona; Shaibal Barua; et al. (ICAART (2), 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 (ICMLT, 2024)

Taxonomy, challenges, and future directions for AI-driven industrial cooling systems. - Md. Mohsin Kabir; Shahina Begum; Shaibal Barua; Mobyen Uddin Ahmed (Array, 2025)