M. Z. Naser

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Domain Knowledge

Causal Inferences

Machine Learning

Structural Engineering

Top Venues

Eng. Appl. Artif. Intell.

Appl. Soft Comput.

Publications

Haley Hostetter, M. Z. Naser, Xinyan Huang, John Gales
Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge. CoRR (2024)
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
A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions. CoRR (2024)
M. Z. Naser, Ahmed Naser
SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems. CoRR (2024)
Mohsen Zaker Esteghamati, Brennan Bean, Henry V. Burton, M. Z. Naser
Beyond development: Challenges in deploying machine learning models for structural engineering applications. CoRR (2024)
M. Z. Naser, Ahmed Naser
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection. CoRR (2024)
M. Z. Naser, M. K. albashiti, A. Z. Naser
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning. CoRR (2023)
Zhiyuan Qin, M. Z. Naser
Machine learning and model driven bayesian uncertainty quantification in suspended nonstructural systems. Reliab. Eng. Syst. Saf. 237 (2023)
M. Z. Naser, Brandon Ross, Jennier Ogle, Venkatesh Kodur, Rami Hawileh, Jamal A. Abdalla, Huu-Tai Thai
Can AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams? CoRR (2023)
M. Z. Naser, Aybike Özyüksel Çiftçioglu
Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge. CoRR (2022)
M. Z. Naser
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering. CoRR (2022)
M. Z. Naser
Causality, Causal Discovery, and Causal Inference in Structural Engineering. CoRR (2022)
M. Abedi, M. Z. Naser
RAI: Rapid, Autonomous and Intelligent machine learning approach to identify fire-vulnerable bridges. Appl. Soft Comput. 113 (Part) (2021)
M. Z. Naser
Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence. CoRR (2021)
M. Z. Naser, V. K. Kodur
Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns. CoRR (2021)
M. Z. Naser
Can past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approach. Eng. Comput. 37 (2) (2021)
M. Z. Naser, Amir Alavi
Insights into Performance Fitness and Error Metrics for Machine Learning. CoRR (2020)
M. Z. Naser, A. Seitllari
Concrete under fire: an assessment through intelligent pattern recognition. Eng. Comput. 36 (4) (2020)
M. Z. Naser
AI-based cognitive framework for evaluating response of concrete structures in extreme conditions. Eng. Appl. Artif. Intell. 81 (2019)