Shahina Begum

Orcid: 0000-0002-1212-7637

According to our database1, Shahina Begum authored at least 60 papers between 2007 and 2023.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2023
When a CBR in Hand is Better than Twins in the Bush.
CoRR, 2023

A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions.
IEEE Access, 2023

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

Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Multi-scale Data Fusion and Machine Learning for Vehicle Manoeuvre Classification.
Proceedings of the 13th IEEE International Conference on System Engineering and Technology, 2023

Quantitative Performance Analysis from Discrete Perspective: A Case Study of Chip Detection in Turning Process.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
CODE: A Moving-Window-Based Framework for Detecting Concept Drift in Software Defect Prediction.
Symmetry, 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

Supporting Autonomous Vehicle Applications on the Heterogeneous System Architecture.
Proceedings of the ECBS 2021: 7th Conference on the Engineering of Computer Based Systems, 2021

Explainable Machine Learning to Improve Assembly Line Automation.
Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

Deep Learning in Remote Sensing: An Application to Detect Snow and Water in Construction Sites.
Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020
Non-Contact Physiological Parameters Extraction Using Facial Video Considering Illumination, Motion, Movement and Vibration.
IEEE Trans. Biomed. Eng., 2020

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

Machine Learning for Cognitive Load Classification - A Case Study on Contact-Free Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

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

Quality Index Analysis on Camera-Based R-Peak Identification Considering Movements and Light Illumination.
Proceedings of the pHealth 2018 - Proceedings of the 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health,, 2018

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

Deep Learning Based Person Identification Using Facial Images.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

Vision-Based Remote Heart Rate Variability Monitoring Using Camera.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 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

Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

2016
Towards a compositional service architecture for real-time cloud robotics: invited paper.
SIGBED Rev., 2016

Real Time Heart Rate Monitoring From Facial RGB Color Video Using Webcam.
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016

Non-Contact Heart Rate Monitoring Using Lab Color Space.
Proceedings of the pHealth 2016, 2016

Intelligent Automated EEG Artifacts Handling Using Wavelet Transform, Independent Component Analysis and Hierarchal Clustering.
Proceedings of the Wireless Mobile Communication and Healthcare, 2016

Falling Angel - A Wrist Worn Fall Detection System Using K-NN Algorithm.
Proceedings of the Internet of Things Technologies for HealthCare, 2016

SmartMirror: An Embedded Non-contact System for Health Monitoring at Home.
Proceedings of the Internet of Things Technologies for HealthCare, 2016

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

Ins and Outs of Big Data: A Review.
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
Resource Allocation in Industrial Cloud Computing Using Artificial Intelligence Algorithms.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Driver Monitoring in the Context of Autonomous Vehicle.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 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

Non-contact Physiological Parameters Extraction Using Camera.
Proceedings of the Internet of Things. IoT Infrastructures, 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

2013
Intelligent driver monitoring systems based on physiological sensor signals: A review.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
The 3 CDSSs: An Overview and Application in Case-Based Reasoning.
Proceedings of the 27th Annual Workshop of the Swedish Artificial Intelligence Society, 2012

An Overview of Three Medical Applications Using Hybrid Case-Based Reasoning.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

Mental State Monitoring System for the Professional Drivers Based on Heart Rate Variability Analysis.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

Case Studies on the Clinical Applications using Case-Based Reasoning.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

A hybrid case-based system in clinical diagnosis and treatment.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
A Personalised Case-Based Stress Diagnosis System Using Physiological Sensor Signals.
PhD thesis, 2011

Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments.
IEEE Trans. Syst. Man Cybern. Part C, 2011

A multi-module case-based biofeedback system for stress treatment.
Artif. Intell. Medicine, 2011

K-NN based interpolation to handle artifacts for heart rate variability analysis.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011

A Case-Based Driver's State Monitoring System Using Physiological Sensor Signals.
Proceedings of the Advances in Data Mining. 11th Industrial Conference, 2011

2010
Factors associated with unwanted pregnancies in India through a hierarchical model.
Model. Assist. Stat. Appl., 2010

2009
A Case-Based Decision Support System for Individual Stress Diagnosis Using Fuzzy Similarity Matching.
Comput. Intell., 2009

2008
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity.
Trans. Case Based Reason., 2008

A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning.
Proceedings of the ECCBR 2008, 2008

2007
Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2007


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