Work

Investigating Anomalies in Diabetes Time-Series Data Using Boosting Algorithms Family : A Comparative Study of Ensemble Approaches

Year: 2024

Type: conference-paper

Source: International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

DOI: 10.1109/isriti64779.2024.10963471

Authors: Ahmad Cahyono Adi, Aditya Ahmad Zein, Ibnu Amri Thaher

Institution: Universitas Gadjah Mada

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409494399

FWCI:

Cites: 24

Cited by:

Related to: 10