M. Z. Naser

According to our database, M. Z. Naser authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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

Insights into Performance Fitness and Error Metrics for Machine Learning.

M. Z. Naser, Amir Alavi

CoRR, 2020