Mouaz H. Al-Mallah

According to our database, Mouaz H. Al-Mallah authored at least 7 papers between 2017 and 2023.

Collaborative distances:

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

2023

Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract).

Radwa El Shawi, Mouaz H. Al-Mallah

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality.

Radwa El Shawi, Mouaz H. Al-Mallah

J. Artif. Intell. Res., 2022

2021

Interpretability in healthcare: A comparative study of local machine learning interpretability techniques.

Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah, Sherif Sakr

Comput. Intell., 2021

2019

On the interpretability of machine learning-based model for predicting hypertension.

Radwa El Shawi, Mouaz H. Al-Mallah, Sherif Sakr

BMC Medical Informatics Decis. Mak., 2019

LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans.

Tarun Khajuria, Eman Badr, Mouaz H. Al-Mallah, Sherif Sakr

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision.

Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah, Sherif Sakr

Proceedings of the Advances in Databases and Information Systems, 2019

2017

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

Sherif Sakr, Radwa El Shawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Steven J. Keteyian, Michael J. Blaha, Mouaz H. Al-Mallah

BMC Medical Informatics Decis. Mak., 2017