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ORCIDM. Z. Naser
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Journal Articles
- 2025
[j17]Ahmad Z. Naser, Mohannad Z. Naser:
SPINEX-TimeSeries: Similarity-based predictions with explainable neighbors exploration for time series and forecasting problems. Comput. Ind. Eng. 200: 110812 (2025)- [j16]Mohannad Z. Naser, Ahmad Z. Naser:
SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems. Clust. Comput. 28(5): 335 (2025) - [j15]M. S. Babitha, A. Diana Andrushia, N. Anand, M. Z. Naser
, Y. Pari:
Land use and land cover change detection from multisource satellite imagery - A hybrid convolutional neural network approach. Eng. Appl. Artif. Intell. 161: 112187 (2025) - [j14]Mohannad Z. Naser:
From failure to fusion: A survey on learning from bad machine learning models. Inf. Fusion 120: 103122 (2025) - [j13]Mohannad Z. Naser, Ahmad Z. Naser:
SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection. J. Big Data 12(1): 77 (2025) - [j12]Mohannad Z. Naser, Ahmad Z. Naser:
The firefighter algorithm for optimization problems. Neural Comput. Appl. 37(16): 9345-9400 (2025) - [j11]Mohannad Z. Naser, Ahmad Z. Naser:
SPINEX-symbolic regression: similarity-based symbolic regression with explainable neighbors exploration. J. Supercomput. 81(7): 677 (2025) - [j10]M. Z. Naser:
A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions. WIREs Data. Mining. Knowl. Discov. 15(3) (2025) - 2024
- [j9]Mohannad Z. Naser, Mohammad Khaled al-Bashiti, Ahmad Z. Naser:
SPINEX: Similarity-based predictions with explainable neighbors exploration for regression and classification. Appl. Soft Comput. 157: 111518 (2024) - [j8]P. Sajitha, A. Diana Andrushia, N. Anand, Mohannad Z. Naser, Eva Lubloy:
A deep learning approach to detect diseases in pomegranate fruits via hybrid optimal attention capsule network. Ecol. Informatics 84: 102859 (2024) - [j7]P. Sajitha, A. Diana Andrushia, N. Anand, Mohannad Z. Naser:
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems. J. Ind. Inf. Integr. 38: 100572 (2024) - [j6]Mohannad Z. Naser:
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence. WIREs Data. Mining. Knowl. Discov. 14(4) (2024) - 2023
- [j5]Zhiyuan Qin, Mohannad Z. Naser:
Machine learning and model driven bayesian uncertainty quantification in suspended nonstructural systems. Reliab. Eng. Syst. Saf. 237: 109392 (2023) - 2021
- [j4]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) - [j3]Mohannad Z. Naser:
Can past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approach. Eng. Comput. 37(2): 1099-1131 (2021) - 2020
- [j2]Mohannad Z. Naser, A. Seitllari:
Concrete under fire: an assessment through intelligent pattern recognition. Eng. Comput. 36(4): 1915-1928 (2020) - 2019
- [j1]Mohannad Z. Naser:
AI-based cognitive framework for evaluating response of concrete structures in extreme conditions. Eng. Appl. Artif. Intell. 81: 437-449 (2019)
Informal and Other Publications
- 2025
- [i18]M. Z. Naser:
A Look into How Machine Learning is Reshaping Engineering Models: the Rise of Analysis Paralysis, Optimal yet Infeasible Solutions, and the Inevitable Rashomon Paradox. CoRR abs/2501.04894 (2025) - [i17]M. Z. Naser:
The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations. CoRR abs/2507.08908 (2025) - 2024
- [i16]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) - [i15]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) - [i14]Mohannad Z. Naser, Ahmad Z. Naser:
The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems. CoRR abs/2406.00528 (2024) - [i13]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) - [i12]M. Z. Naser, Ahmed Naser:
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection. CoRR abs/2407.04760 (2024) - [i11]M. Z. Naser, Ahmed Naser:
SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems. CoRR abs/2407.07222 (2024) - [i10]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) - [i9]M. Z. Naser, Ahmed Naser:
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration. CoRR abs/2411.03358 (2024) - 2023
- [i8]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) - [i7]Mohannad Z. Naser, Mohammad Khaled al-Bashiti, Ahmad Z. Naser:
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning. CoRR abs/2306.01029 (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
- [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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last updated on 2025-10-16 00:10 CEST by the dblp team
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