AI-based cognitive framework for evaluating response of concrete structures in extreme conditions. - Mohannad Z. Naser (Eng. Appl. Artif. Intell., 2019)

Insights into Performance Fitness and Error Metrics for Machine Learning. - M. Z. Naser; Amir Alavi (CoRR, 2020)

Concrete under fire: an assessment through intelligent pattern recognition. - Mohannad Z. Naser; A. Seitllari (Eng. Comput., 2020)

RAI: Rapid, Autonomous and Intelligent machine learning approach to identify fire-vulnerable bridges. - M. Abedi; M. Z. Naser (Appl. Soft Comput., 2021)

Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns. - M. Z. Naser; V. K. Kodur (CoRR, 2021)

Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence. - M. Z. Naser (CoRR, 2021)

Can past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approach. - Mohannad Z. Naser (Eng. Comput., 2021)

Causality, Causal Discovery, and Causal Inference in Structural Engineering. - M. Z. Naser (CoRR, 2022)

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge. - M. Z. Naser; Aybike Özyüksel Çiftçioglu (CoRR, 2022)

Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering. - M. Z. Naser (CoRR, 2022)

Can AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams? - M. Z. Naser; Brandon Ross; Jennier Ogle; Venkatesh Kodur; Rami Hawileh; Jamal A. Abdalla; Huu-Tai Thai (CoRR, 2023)

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning. - Mohannad Z. Naser; Mohammad Khaled al-Bashiti; Ahmad Z. Naser (CoRR, 2023)

Machine learning and model driven bayesian uncertainty quantification in suspended nonstructural systems. - Zhiyuan Qin; Mohannad Z. Naser (Reliab. Eng. Syst. Saf., 2023)

SPINEX: Similarity-based predictions with explainable neighbors exploration for regression and classification. - Mohannad Z. Naser; Mohammad Khaled al-Bashiti; Ahmad Z. Naser (Appl. Soft Comput., 2024)

Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge. - Haley Hostetter; M. Z. Naser; Xinyan Huang; John Gales (CoRR, 2024)

Beyond development: Challenges in deploying machine learning models for structural engineering applications. - Mohsen Zaker Esteghamati; Brennan Bean; Henry V. Burton; M. Z. Naser (CoRR, 2024)

The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems. - Mohannad Z. Naser; Ahmad Z. Naser (CoRR, 2024)

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions. - M. Z. Naser; Mohammad Khaled al-Bashiti; Arash Teymori Gharah Tapeh; Armin Dadras Eslamlou 001; Ahmed Naser; Venkatesh Kodur; Rami Hawileh; Jamal A. Abdalla; Nima Khodadadi; Amir H. Gandomi (CoRR, 2024)

SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection. - M. Z. Naser; Ahmed Naser (CoRR, 2024)

SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems. - M. Z. Naser; Ahmed Naser (CoRR, 2024)

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems. - Ahmed Naser; M. Z. Naser (CoRR, 2024)

SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration. - M. Z. Naser; Ahmed Naser (CoRR, 2024)

A deep learning approach to detect diseases in pomegranate fruits via hybrid optimal attention capsule network. - P. Sajitha; A. Diana Andrushia; N. Anand; Mohannad Z. Naser; Eva Lubloy (Ecol. Informatics, 2024)

Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence. - Mohannad Z. Naser (WIREs Data. Mining. Knowl. Discov., 2024)

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems. - P. Sajitha; A. Diana Andrushia; N. Anand; Mohannad Z. Naser (J. Ind. Inf. Integr., 2024)

SPINEX-TimeSeries: Similarity-based predictions with explainable neighbors exploration for time series and forecasting problems. - Ahmad Z. Naser; Mohannad Z. Naser (Comput. Ind. Eng., 2025)

From failure to fusion: A survey on learning from bad machine learning models. - Mohannad Z. Naser (Inf. Fusion, 2025)

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions. - M. Z. Naser (WIREs Data. Mining. Knowl. Discov., 2025)

A Look into How Machine Learning is Reshaping Engineering Models: the Rise of Analysis Paralysis, Optimal yet Infeasible Solutions, and the Inevitable Rashomon Paradox. - M. Z. Naser (CoRR, 2025)

SPINEX-symbolic regression: similarity-based symbolic regression with explainable neighbors exploration. - Mohannad Z. Naser; Ahmad Z. Naser (J. Supercomput., 2025)

The firefighter algorithm for optimization problems. - Mohannad Z. Naser; Ahmad Z. Naser (Neural Comput. Appl., 2025)

The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations. - M. Z. Naser (CoRR, 2025)

SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems. - Mohannad Z. Naser; Ahmad Z. Naser (Clust. Comput., 2025)

SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection. - Mohannad Z. Naser; Ahmad Z. Naser (J. Big Data, 2025)