Padhraic Smyth
Padhraic Smyth publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Gaussian Processes and Bayesian Inference, Bayesian Methods and Mixture Models and Neural Networks and Applications.
- World rank
- #8,358 of 1,633,909 ranked researchers
- Rank in United States
- #4,025 of 358,040
- Works
- 91
- Citations
- 1.5k
- Citations per work
- 16.1
What does Padhraic Smyth research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence44% of their works
- 2Signal Processing8% of their works
- 3Computer Vision and Pattern Recognition5% of their works
- 4Statistics and Probability5% of their works
- 5Statistical and Nonlinear Physics4% of their works
- 6Global and Planetary Change4% of their works
Research topics
Which keywords describe Padhraic Smyth's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, Neural Networks, Gaussian Processes, Machine Learning, Probabilistic Models and Sparse Regression.
- Unsupervised
- Noisy Labels
- Anomaly Detection
- Word Representation
- Global Warming
- Self-Organizing Maps
- Mixture Models
- Sparse Regression
- Machine Learning
- Neural Networks
- Bayesian Inference
- Deep Learning
- Variational Inference
- Gaussian Processes
- Probabilistic Models
- Clustering
- Backpropagation Learning
- Climate Change
- Machine Translation
- Active Learning
- Hyperparameter Optimization
- Semi-Supervised Learning
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 22 words, with their numbers
- Deep Learning184 topics
- Bayesian Inference132 topics
- Variational Inference132 topics
- Neural Networks123 topics
- Gaussian Processes102 topics
- Machine Learning102 topics
- Probabilistic Models71 topic
- Sparse Regression71 topic
- Clustering61 topic
- Mixture Models61 topic
- Backpropagation Learning51 topic
- Self-Organizing Maps51 topic
- Climate Change41 topic
- Global Warming41 topic
- Machine Translation41 topic
- Word Representation41 topic
- Active Learning31 topic
- Anomaly Detection31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Semi-Supervised Learning31 topic
- Unsupervised31 topic
Where does Padhraic Smyth work?
Padhraic Smyth's main affiliation in the publication record is University of California, Irvine, United States.
How many publications and citations does Padhraic Smyth have?
Science Explorer counts 91 works and 1,469 citations for Padhraic Smyth, ranking #8,358 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.