Byron J. Gao
Byron J. Gao publishes mostly in Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, on topics such as Data Management and Algorithms, Anomaly Detection Techniques and Applications and Evolutionary Algorithms and Applications.
- World rank
- #566,284 of 1,633,909 ranked researchers
- Rank in United States
- #181,650 of 358,040
- Works
- 21
- Citations
- 54
- Citations per work
- 2.6
What does Byron J. Gao research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence47% of their works
- 2Signal Processing20% of their works
- 3Computational Theory and Mathematics13% of their works
- 4Information Systems7% of their works
- 5Environmental Engineering7% of their works
- 6Computer Networks and Communications7% of their works
Research topics
Which keywords describe Byron J. Gao's research?
The keywords of their largest research topics: Classification, Deep Learning, GPS Trajectories, Machine Learning, Trajectory Data Mining, Active Learning, Anomaly Detection and Clustering.
- Semi-Supervised Learning
- Noisy Labels
- Hyperparameter Optimization
- Feature Selection
- Data Streams
- Clustering
- Active Learning
- Machine Learning
- Deep Learning
- Classification
- GPS Trajectories
- Trajectory Data Mining
- Anomaly Detection
- Concept Drift
- Differential Evolution
- Genetic Programming
- Mixture Models
- Particle Swarm Optimization
- Unsupervised
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
- Classification22 topics
- Deep Learning22 topics
- GPS Trajectories21 topic
- Machine Learning22 topics
- Trajectory Data Mining21 topic
- Active Learning11 topic
- Anomaly Detection11 topic
- Clustering11 topic
- Concept Drift11 topic
- Data Streams11 topic
- Differential Evolution11 topic
- Feature Selection11 topic
- Genetic Programming11 topic
- Hyperparameter Optimization11 topic
- Mixture Models11 topic
- Noisy Labels11 topic
- Particle Swarm Optimization11 topic
- Semi-Supervised Learning11 topic
- Unsupervised11 topic
Where does Byron J. Gao work?
Byron J. Gao's main affiliation in the publication record is Texas State University, United States.
How many publications and citations does Byron J. Gao have?
Science Explorer counts 21 works and 54 citations for Byron J. Gao, ranking #566,284 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.