Science Explorer Interactive view Map
Researcher · Vector Institute · Canada

Chris J. Maddison

Chris J. Maddison publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification and Statistical Methods and Inference.

World rank
#1,604,804
of 1,633,909 ranked researchers
Rank in Canada
#38,557
of 38,960
Works
18
Citations
16
Citations per work
0.9

What does Chris J. Maddison research?

Artificial Intelligence: 50.0%Statistics and Probability: 25.0%Computer Vision and Pattern Recognition: 12.5%Computer Science Applications: 4.2%other fields: 8.3%50%top field
Artificial Intelligence50.0%Statistics and Probability25.0%Computer Vision and Pattern Recognition12.5%Computer Science Applications4.2%other fields8.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence50% of their works
  2. 2Statistics and Probability25% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Computer Science Applications4% of their works
  5. 5Information Systems4% of their works
  6. 6Software4% of their works

Research topics

Which keywords describe Chris J. Maddison's research?

The keywords of their largest research topics: Meta-Learning, Classification, Deep Neural Networks, Deep Learning, Domain Adaptation, Hyperparameter Optimization, Machine Learning and Neural Networks.

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
  1. Meta-Learning42 topics
  2. Classification32 topics
  3. Deep Neural Networks32 topics
  4. Deep Learning22 topics
  5. Domain Adaptation21 topic
  6. Hyperparameter Optimization21 topic
  7. Machine Learning22 topics
  8. Neural Networks22 topics
  9. Noisy Labels21 topic
  10. Regularization21 topic
  11. Transfer Learning21 topic
  12. Variable Selection21 topic
  13. Acoustic Modeling11 topic
  14. Adversarial Examples11 topic
  15. Agent-Based Modeling11 topic
  16. Backpropagation Learning11 topic
  17. Evolutionary Algorithms11 topic
  18. Genetic Programming11 topic
  19. Multi-Agent Systems11 topic
  20. Robustness11 topic
  21. Self-Organizing Maps11 topic
  22. Speaker Verification11 topic

Where does Chris J. Maddison work?

Chris J. Maddison's main affiliation in the publication record is Vector Institute, Canada.

How many publications and citations does Chris J. Maddison have?

Science Explorer counts 18 works and 16 citations for Chris J. Maddison, ranking #1,604,804 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.