Shaibal Barua

Orcid: 0000-0002-7305-7169

According to our database1, Shaibal Barua authored at least 23 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study.
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.
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.
CoRR, 2023

Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
When a CBR in Hand Better than Twins in the Bush.
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.
Sensors, 2021

2020
Non-contact-based driver's cognitive load classification using physiological and vehicular parameters.
Biomed. Signal Process. Control., 2020

2019
Multivariate Data Analytics to Identify Driver's Sleepiness, Cognitive load, and Stress.
PhD thesis, 2019

Automatic driver sleepiness detection using EEG, EOG and contextual information.
Expert Syst. Appl., 2019

Hypothyroid Disease Diagnosis with Causal Explanation using Case-based Reasoning and Domain-specific Ontology.
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.
Proceedings of the Human Mental Workload: Models and Applications, 2019

2018
Automated EEG Artifact Handling With Application in Driver Monitoring.
IEEE J. Biomed. Health Informatics, 2018

2017
Classifying Drivers' Cognitive Load Using EEG Signals.
Proceedings of the pHealth 2017, 2017

Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

Distributed Multivariate Physiological Signal Analytics for Drivers' Mental State Monitoring.
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.
Proceedings of the Wireless Mobile Communication and Healthcare, 2016

A Case-Based Classification for Drivers' Alcohol Detection Using Physiological Signals.
Proceedings of the Internet of Things Technologies for HealthCare, 2016

Driver's State Monitoring: A Case Study on Big Data Analytics.
Proceedings of the Internet of Things Technologies for HealthCare, 2016

2015
Clustering based Approach for Automated EEG Artifacts Handling.
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.
Proceedings of the pHealth 2015, 2015

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera.
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.
Sensors, 2014

Classification of physiological signals for wheel loader operators using Multi-scale Entropy analysis and case-based reasoning.
Expert Syst. Appl., 2014


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