Mohsen Abbaspour Onari

Orcid: 0000-0002-7596-378X

According to our database1, Mohsen Abbaspour Onari authored at least 13 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust.
CoRR, August, 2025

A hybrid error correction approach for prediction of credit approval: An explainable artificial intelligence approach.
Eng. Appl. Artif. Intell., 2025

Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support.
Proceedings of the Explainable Artificial Intelligence, 2025

The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments.
Proceedings of the Explainable Artificial Intelligence, 2025

2024
A data-driven decision support framework for DEA target setting: an explainable AI approach.
Eng. Appl. Artif. Intell., January, 2024

An explainable data-driven decision support framework for strategic customer development.
Knowl. Based Syst., 2024

2023
Implementing bargaining game-based fuzzy cognitive map and mixed-motive games for group decisions in the healthcare supplier selection.
Artif. Intell. Rev., October, 2023

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring.
Proceedings of the Process Mining Workshops, 2023

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
A fuzzy cognitive map based on Nash bargaining game for supplier selection problem: a case study on auto parts industry.
Oper. Res., 2022

Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021
Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm.
Artif. Intell. Rev., 2021


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