Seok-Beom Roh
Seok-Beom Roh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Neural Networks and Applications, Face and Expression Recognition and Fuzzy Logic and Control Systems.
- World rank
- #1,081,504 of 1,633,909 ranked researchers
- Rank in South Korea
- #21,494 of 38,381
- Works
- 23
- Citations
- 34
- Citations per work
- 1.5
What does Seok-Beom Roh research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence42% of their works
- 2Computer Vision and Pattern Recognition17% of their works
- 3Computational Theory and Mathematics8% of their works
- 4Aerospace Engineering4% of their works
- 5Materials Chemistry4% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
Which keywords describe Seok-Beom Roh's research?
The keywords of their largest research topics: Feature Selection, Machine Learning, Control Systems, Dimensionality Reduction, Face Recognition, Neural Networks, Self-Organizing Maps and Fuzzy Logic Systems.
- Noisy Labels
- Inductive Modeling
- GMDH-type Neural Networks
- Clustering Algorithms
- Rough Sets
- Fuzzy Logic Systems
- Neural Networks
- Dimensionality Reduction
- Machine Learning
- Feature Selection
- Control Systems
- Face Recognition
- Self-Organizing Maps
- Granular Computing
- Type-2 Fuzzy Sets
- Expert Systems
- Hyperparameter Optimization
- K-means
- Wavelet Analysis
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Feature Selection52 topics
- Machine Learning43 topics
- Control Systems32 topics
- Dimensionality Reduction31 topic
- Face Recognition31 topic
- Neural Networks31 topic
- Self-Organizing Maps31 topic
- Fuzzy Logic Systems21 topic
- Granular Computing21 topic
- Rough Sets21 topic
- Type-2 Fuzzy Sets21 topic
- Clustering Algorithms11 topic
- Expert Systems11 topic
- GMDH-type Neural Networks11 topic
- Hyperparameter Optimization11 topic
- Inductive Modeling11 topic
- K-means11 topic
- Noisy Labels11 topic
- Wavelet Analysis11 topic
Where does Seok-Beom Roh work?
Seok-Beom Roh's main affiliation in the publication record is University of Suwon, South Korea.
How many publications and citations does Seok-Beom Roh have?
Science Explorer counts 23 works and 34 citations for Seok-Beom Roh, ranking #1,081,504 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.