23 citations · 49 across the 12 of their papers we have counts for
8 papers · 1 filter
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
MZ Naser, Ahmed Z Naser
This article introduces a new symbolic regression algorithm based on the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This new algorithm (SP…
SPINEX-Optimization: Similarity-based Predictions with Explainable Neighbors Exploration for Single, Multiple, and Many Objectives Optimization
MZ Naser, Ahmed Z Naser
This article introduces an expansion within SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) suite, now extended to single, multiple, and many objective…
SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems
MZ Naser, Ahmed Naser
This paper presents a novel clustering algorithm from the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) algorithmic family. The newly proposed cluste…
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
MZ Naser, Ahmed Z Naser
This paper presents a novel anomaly and outlier detection algorithm from the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This algorithm lev…
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 +7
In the rapidly evolving optimization and metaheuristics domains, the efficacy of algorithms is crucially determined by the benchmark (test) functions. While several functions have…
The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems
M. Z. Naser, A. Z. Naser
This paper presents the Firefighter Optimization (FFO) algorithm as a new hybrid metaheuristic for optimization problems. This algorithm stems inspiration from the collaborative st…
Beyond development: Challenges in deploying machine learning models for structural engineering applications
Mohsen Zaker Esteghamati, Brennan Bean, Henry V. Burton +1
Machine learning (ML)-based solutions are rapidly changing the landscape of many fields, including structural engineering. Despite their promising performance, these approaches are…
Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
Haley Hostetter, M. Z. Naser, Xinyan Huang +1
This communication presents preliminary findings from comparing two recent chatbots, OpenAI's ChatGPT and Google's Bard, in the context of fire engineering by evaluating their resp…