Md. Rafiqul Islam

Orcid: 0000-0001-7209-3881

Affiliations:
  • University of Technology Sydney, Advanced Analytics Institute, Sydney, Australia
  • Islamic University of Technology (IUT), Department of Computer Science & Engineering, Dhaka, Bangladesh
  • Victoria University, College of Engineering and Science, Melbourne, Australia


According to our database1, Md. Rafiqul Islam authored at least 24 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Strategies for evaluating visual analytics systems: A systematic review and new perspectives.
Inf. Vis., January, 2024

2023
AIoT for sustainable manufacturing: Overview, challenges, and opportunities.
Internet Things, December, 2023

Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey.
IEEE Trans. Comput. Soc. Syst., August, 2023

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data.
CoRR, 2023

SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection.
Proceedings of the 27th International Conference Information Visualisation, 2023

Explainable exclusion in the life insurance using multi-label classifier.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Convolutional Auto-Encoder and Independent Component Analysis Based Automatic Place Recognition for Moving Robot in Invariant Season Condition.
Hum. Centric Intell. Syst., December, 2022

Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical Characteristics.
Hum. Centric Intell. Syst., June, 2022

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
J. Heal. Informatics Res., 2022

AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance.
CoRR, 2022

Explainable NLQ-based Visual Interactive System: Challenges and Objectives.
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022

Big Data and Artificial Intelligence (AI) to Detect Glaucoma.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

ECTRS: A Personalised Early Career Trajectory Recommender System for Youths.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Evidence-Based Process in Research Involving Machine Learning Algorithms.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021
<i>DiaVis</i>: Exploration and Analysis of Diabetes through Visual Interactive System.
Hum. Centric Intell. Syst., 2021

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions.
Hum. Centric Intell. Syst., 2021

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System.
Proceedings of the 25th International Conference Information Visualisation, 2021

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.
Proceedings of the International Joint Conference on Neural Networks, 2021

ExVis: Explainable Visual Decision Support System for Risk Management.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020
Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Soc. Netw. Anal. Min., 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
A Design Construct of Developing Approaches to Measure Mental Health Conditions.
Australas. J. Inf. Syst., 2019

2018
Depression detection from social network data using machine learning techniques.
Health Inf. Sci. Syst., 2018

Child Abuse and Domestic Abuse: Content and Feature Analysis from Social Media Disclosures.
Proceedings of the Databases Theory and Applications, 2018


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