Sung-Bae Cho
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Yonsei Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-0185-1769
- OpenAlex ID
- A5102775641as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 19
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack,
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms,
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis,
A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images,
Blurring-Sharpening Process Models for Collaborative Filtering,
Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features,
Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection,
Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder
+11 more
← Authored by 19
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack,
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms,
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis,
A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images,
Blurring-Sharpening Process Models for Collaborative Filtering,
Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features,
Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection,
Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder
+11 more
Affiliated with 2
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Summary
Sung-Bae Cho is a human[1].