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Francesco Orabona

Francesco Orabona publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, on topics such as Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques and Machine Learning and Algorithms.

World rank
#149,921
of 1,633,909 ranked researchers
Rank in Switzerland
#3,304
of 19,404
Works
50
Citations
327
Citations per work
6.5

What does Francesco Orabona research?

Artificial Intelligence: 28.3%Management Science and Operations Research: 13.3%Computer Vision and Pattern Recognition: 11.7%Computational Mechanics: 8.3%other fields: 38.4%28%top field
Artificial Intelligence28.3%Management Science and Operations Research13.3%Computer Vision and Pattern Recognition11.7%Computational Mechanics8.3%other fields38.4%

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

  1. 1Artificial Intelligence28% of their works
  2. 2Management Science and Operations Research13% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Computational Mechanics8% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Statistics and Probability5% of their works

Research topics

Which keywords describe Francesco Orabona's research?

The keywords of their largest research topics: Convex Optimization, Deep Learning, Bandit Optimization, Bayesian Optimization, Gaussian Processes, Machine Learning, Neural Networks and Compressed Sensing.

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 21 words, with their numbers
  1. Convex Optimization163 topics
  2. Deep Learning124 topics
  3. Bandit Optimization71 topic
  4. Bayesian Optimization71 topic
  5. Gaussian Processes62 topics
  6. Machine Learning62 topics
  7. Neural Networks62 topics
  8. Compressed Sensing51 topic
  9. Sparse Representation51 topic
  10. Active Learning41 topic
  11. Image Classification41 topic
  12. Random Projections41 topic
  13. Stochastic Gradient Descent41 topic
  14. Domain Adaptation21 topic
  15. Extreme Learning Machine21 topic
  16. Feature Matching21 topic
  17. Feedforward Networks21 topic
  18. Local Descriptors21 topic
  19. Sparse Regression21 topic
  20. Transfer Learning21 topic
  21. Variational Inference21 topic

Where does Francesco Orabona work?

Francesco Orabona's main affiliation in the publication record is Idiap Research Institute, Switzerland.

How many publications and citations does Francesco Orabona have?

Science Explorer counts 50 works and 327 citations for Francesco Orabona, ranking #149,921 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.