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researcher

R. Tavakkoli-Moghaddam

3 papers hereh-index 7523.2k citations816 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedTwo new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis

15 citations · 16 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 15 cited

Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis

Kamyab Karimi, Ali Ghodratnama, Reza Tavakkoli-Moghaddam

Breast cancer is not preventable because of its unknown causes. However, its early diagnosis increases patients' recovery chances. Machine learning (ML) can be utilized to improve…

cs.NE2020★ 1 cited

Performance Analysis of Meta-heuristic Algorithms for a Quadratic Assignment Problem

Zohreh Raziei, Reza Tavakkoli-Moghaddam, Siavash Tabrizian

A quadratic assignment problem (QAP) is a combinatorial optimization problem that belongs to the class of NP-hard ones. So, it is difficult to solve in the polynomial time even for…

cs.AI2017

A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms

Aschkan Omidvar, Eren Erman Ozguven, O. Arda Vanli +1

We propose a two phase time dependent vehicle routing and scheduling optimization model that identifies the safest routes, as a substitute for the classical objectives given in the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.