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A. Naser

4 papers hereh-index 214 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.NE1
  • stat.AP1
  • stat.ME1
same name
  • A. Naser — 1 paper, h 2
  • A. Naser — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

stat.ME2024

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems

Ahmed Z Naser, MZ Naser

This paper introduces a new addition to the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family, tailored specifically for time series and forecasti…

stat.AP2024

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…

cs.LG2024

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…

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…

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