S. Sathiya Keerthi
S. Sathiya Keerthi publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, on topics such as Face and Expression Recognition, Neural Networks and Applications and Machine Learning and Data Classification.
- World rank
- #37,135 of 1,633,909 ranked researchers
- Rank in India
- #236 of 44,512
- Works
- 40
- Citations
- 617
- Citations per work
- 15.4
What does S. Sathiya Keerthi research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence53% of their works
- 2Computer Vision and Pattern Recognition26% of their works
- 3Nuclear and High Energy Physics4% of their works
- 4Control and Systems Engineering4% of their works
- 5Computational Mechanics2% of their works
- 6Mechanics of Materials2% of their works
Research topics
- Face and Expression Recognition
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Text and Document Classification Technologies
- Stochastic Gradient Optimization Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Algorithms and Applications
Which keywords describe S. Sathiya Keerthi's research?
The keywords of their largest research topics: Deep Learning, Feature Selection, Neural Networks, Support Vector Machines, Dimensionality Reduction, Face Recognition, Backpropagation Learning and Self-Organizing Maps.
- Stochastic Gradient Descent
- PID Control
- Fuzzy Logic
- Text Classification
- Machine Learning
- Noisy Labels
- Self-Organizing Maps
- Face Recognition
- Support Vector Machines
- Feature Selection
- Deep Learning
- Neural Networks
- Dimensionality Reduction
- Backpropagation Learning
- Hyperparameter Optimization
- Active Learning
- Multi-label Learning
- Feature Matching
- Local Descriptors
- Random Projections
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 20 words, with their numbers
- Deep Learning144 topics
- Feature Selection122 topics
- Neural Networks103 topics
- Support Vector Machines102 topics
- Dimensionality Reduction81 topic
- Face Recognition81 topic
- Backpropagation Learning61 topic
- Self-Organizing Maps61 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Active Learning41 topic
- Machine Learning41 topic
- Multi-label Learning41 topic
- Text Classification41 topic
- Feature Matching21 topic
- Fuzzy Logic21 topic
- Local Descriptors21 topic
- PID Control21 topic
- Random Projections21 topic
- Stochastic Gradient Descent21 topic
Where does S. Sathiya Keerthi work?
S. Sathiya Keerthi's main affiliation in the publication record is Indian Institute of Science Bangalore, India.
How many publications and citations does S. Sathiya Keerthi have?
Science Explorer counts 40 works and 617 citations for S. Sathiya Keerthi, ranking #37,135 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.