Work

GBMPSO: Hybrid Gradient Boosting Machines with Particle Swarm Optimization in Cell Segmentation Data

Year: 2021

Type: conference-paper

Source: IEEE Symposium Series on Computational Intelligence (SSCI)

DOI: 10.1109/ssci50451.2021.9660039

Authors: Temidayo Adeluwa, Eunjin Kim, Junguk Hur

Institutions: University of North Dakota, University of Chicago

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4207059554

FWCI:

Cites: 24

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Related to: 10