M. Z. Naser

According to our database, M. Z. Naser authored at least 44 papers between 2019 and 2026.

Collaborative distances:

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

2026

A review of machine learning with small and limited data.

M. Z. Naser

J. Big Data, December, 2026

Auditing the Shadows: A Review of Methods to Detect Shared Training Data in Large Language Models.

M. Z. Naser

ACM Comput. Surv., May, 2026

Possible algorithmic worlds?

M. Z. Naser

AI Soc., May, 2026

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents.

M. Z. Naser, Ahmad Bani Awwad, Zoie McCreery, Radwa Eissa, Ahmad Z. Naser, Gianluca Cusatis, Andrew Metcalf, Kapil Madathil, Jamal Abdalla, Venkatesh Kodur, Mohammad Reza Saeb

CoRR, March, 2026

Epistemic virtues and ethics of explanation in machine learning.

M. Z. Naser, Z. K. Naser

AI Ethics, February, 2026

Fundamental flaws of physics-informed neural networks and explainability methods in engineering systems.

M. Z. Naser

Comput. Ind. Eng., 2026

Philosophy-informed machine learning.

M. Z. Naser

Appl. Soft Comput., 2026

2025

SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection.

Mohannad Z. Naser, Ahmad Z. Naser

J. Big Data, December, 2025

Dataism, skepticism, and intuition for interpretable machine learning.

M. Z. Naser

AI Ethics, December, 2025

SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems.

Mohannad Z. Naser, Ahmad Z. Naser

Clust. Comput., October, 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, July, 2025

The firefighter algorithm for optimization problems.

Mohannad Z. Naser, Ahmad Z. Naser

Neural Comput. Appl., June, 2025

SPINEX-symbolic regression: similarity-based symbolic regression with explainable neighbors exploration.

Mohannad Z. Naser, Ahmad Z. Naser

J. Supercomput., May, 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, January, 2025

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions.

M. Z. Naser

WIREs Data. Mining. Knowl. Discov., 2025

From failure to fusion: A survey on learning from bad machine learning models.

Mohannad Z. Naser

Inf. Fusion, 2025

Land use and land cover change detection from multisource satellite imagery - A hybrid convolutional neural network approach.

M. S. Babitha, A. Diana Andrushia, N. Anand, M. Z. Naser, Y. Pari

Eng. Appl. Artif. Intell., 2025

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

Design of masonry structures using conditional generative adversarial networks fused with property text information.

Arash Teymori Gharah Tapeh, M. Z. Naser

Comput. Aided Civ. Infrastructure Eng., 2025

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., March, 2024

Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence.

Mohannad Z. Naser

WIREs Data. Mining. Knowl. Discov., 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

SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration.

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-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems.

M. Z. Naser, Ahmed Naser

CoRR, 2024

SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection.

M. Z. Naser, Ahmed 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, Ahmed Naser, Venkatesh Kodur, Rami Hawileh, Jamal A. Abdalla, Nima Khodadadi, Amir H. Gandomi

CoRR, 2024

The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems.

Mohannad Z. Naser, Ahmad Z. Naser

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

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

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

2023

Machine learning and model driven bayesian uncertainty quantification in suspended nonstructural systems.

Zhiyuan Qin, Mohannad Z. Naser

Reliab. Eng. Syst. Saf., September, 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

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

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

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge.

M. Z. Naser, Aybike Özyüksel Çiftçioglu

CoRR, 2022

Causality, Causal Discovery, and Causal Inference in Structural Engineering.

M. Z. Naser

CoRR, 2022

2021

Can past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approach.

Mohannad Z. Naser

Eng. Comput., 2021

Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence.

M. Z. Naser

CoRR, 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

RAI: Rapid, Autonomous and Intelligent machine learning approach to identify fire-vulnerable bridges.

M. Abedi, M. Z. Naser

Appl. Soft Comput., 2021

2020

Concrete under fire: an assessment through intelligent pattern recognition.

Mohannad Z. Naser, A. Seitllari

Eng. Comput., 2020

Insights into Performance Fitness and Error Metrics for Machine Learning.

M. Z. Naser, Amir Alavi

CoRR, 2020

2019

AI-based cognitive framework for evaluating response of concrete structures in extreme conditions.

Mohannad Z. Naser

Eng. Appl. Artif. Intell., 2019