Mir Riyanul Islam

According to our database, Mir Riyanul Islam authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EXACT: An Explainable Anomaly Classification Tool.

Ted Boman, Theo Gould, Shahriar Hasan, Mir Riyanul Islam, Per Erik Strandberg, Tiberiu Seceleanu

IEEE Access, 2026

2025

Privacy-preserving ground-truth data for evaluating additive feature attribution in regression models with additive CBR and CQV.

Mir Riyanul Islam, Rosina O. Weber, Mobyen Uddin Ahmed, Shahina Begum

Knowl. Based Syst., 2025

A Multimodal Approach for Enhancing Decision Support in Remote Digital Tower.

Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Ricky Stanley D'Cruze, Shahina Begum, Sara Kebir, Alexandre Veyrie, Christophe Hurter

Proceedings of the 10th International Conference on Machine Learning Technologies, 2025

2024

Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems

Mir Riyanul Islam

PhD thesis, 2024

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

Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum

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.

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber

CoRR, 2023

Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles.

Joseba Gorospe, Shahriar Hasan, Mir Riyanul Islam, Arrate Alonso Gómez, Svetlana Girs, Elisabeth Uhlemann

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.

Waleed Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira, Nicola Cavagnetto

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.

Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022

When a CBR in Hand Better than Twins in the Bush.

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber

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.

Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum

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.

Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

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.

Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri

Proceedings of the Human Mental Workload: Models and Applications, 2019