activity
20232026
most citedSPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning

6 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents

MZ Naser, Ahmad Bani Awwad, Zoie McCreery +8

The Engineering Reasoning and Instruction (ERI) benchmark is a taxonomy-driven instruction dataset designed to train and evaluate engineering-capable large language models (LLMs) a…

cs.LG2024★ 3 cited

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…

cs.LG2024★ 3 cited

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…

cs.LG2024★ 3 cited

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…

cs.NE2024

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…

cs.LG2023★ 6 cited

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning

M. Z. Naser, M. K. albashiti, A. Z. Naser

The field of machine learning (ML) has witnessed significant advancements in recent years. However, many existing algorithms lack interpretability and struggle with high-dimensiona…