Mir Riyanul Islam

Orcid: 0000-0003-0730-4405

According to our database1, Mir Riyanul Islam authored at least 11 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Privacy-preserving ground-truth data for evaluating additive feature attribution in regression models with additive CBR and CQV.
Knowl. Based Syst., 2025

2024
Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems
PhD thesis, 2024

iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals.
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

Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 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
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
Local and Global Interpretability Using Mutual Information in Explainable Artificial Intelligence.
Proceedings of the 8th International Conference on Soft Computing & Machine Intelligence, 2021

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


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