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M. Z. Naser
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2020 – today
- 2024
- [i13]Haley Hostetter, M. Z. Naser, Xinyan Huang, John Gales:
Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge. CoRR abs/2403.04795 (2024) - [i12]Mohsen Zaker Esteghamati, Brennan Bean, Henry V. Burton, M. Z. Naser:
Beyond development: Challenges in deploying machine learning models for structural engineering applications. CoRR abs/2404.12544 (2024) - [i11]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 abs/2406.09581 (2024) - [i10]M. Z. Naser, Ahmed Naser:
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection. CoRR abs/2407.04760 (2024) - [i9]M. Z. Naser, Ahmed Naser:
SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems. CoRR abs/2407.07222 (2024) - [i8]Ahmed Naser, M. Z. Naser:
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems. CoRR abs/2408.02159 (2024) - 2023
- [i7]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 abs/2303.18149 (2023) - 2022
- [i6]M. Z. Naser:
Causality, Causal Discovery, and Causal Inference in Structural Engineering. CoRR abs/2204.01543 (2022) - [i5]M. Z. Naser, Aybike Özyüksel Çiftçioglu:
Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge. CoRR abs/2204.05311 (2022) - [i4]M. Z. Naser:
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering. CoRR abs/2212.13537 (2022) - 2021
- [j1]M. Abedi, M. Z. Naser:
RAI: Rapid, Autonomous and Intelligent machine learning approach to identify fire-vulnerable bridges. Appl. Soft Comput. 113(Part): 107896 (2021) - [i3]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 abs/2108.09862 (2021) - [i2]M. Z. Naser:
Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence. CoRR abs/2111.13756 (2021) - 2020
- [i1]M. Z. Naser, Amir Alavi:
Insights into Performance Fitness and Error Metrics for Machine Learning. CoRR abs/2006.00887 (2020)
Coauthor Index
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