François Fleuret
François Fleuret publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Neural Network Applications, Neural Networks and Applications and Adversarial Robustness in Machine Learning.
- World rank
- #62,570 of 1,633,909 ranked researchers
- Rank in Switzerland
- #1,574 of 19,404
- Works
- 67
- Citations
- 635
- Citations per work
- 9.5
What does François Fleuret research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition38% of their works
- 2Artificial Intelligence36% of their works
- 3Signal Processing3% of their works
- 4Computational Mechanics3% of their works
- 5Molecular Biology2% of their works
- 6Electrical and Electronic Engineering2% of their works
Research topics
- Advanced Neural Network Applications
- Neural Networks and Applications
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Advanced Image and Video Retrieval Techniques
- Stochastic Gradient Optimization Techniques
- Video Surveillance and Tracking Methods
Which keywords describe François Fleuret's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Image Recognition, Object Detection, Deep Neural Networks, Backpropagation Learning and Self-Organizing Maps.
- Visual Tracking
- Random Projections
- Robustness
- Machine Learning Interpretability
- Interpretable Models
- Feature Matching
- Self-Organizing Maps
- Deep Neural Networks
- Image Recognition
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Object Detection
- Backpropagation Learning
- Adversarial Examples
- Hyperparameter Optimization
- Local Descriptors
- Noisy Labels
- Object Tracking
- Stochastic Gradient Descent
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 Learning296 topics
- Neural Networks133 topics
- Convolutional Neural Networks122 topics
- Image Recognition91 topic
- Object Detection91 topic
- Deep Neural Networks82 topics
- Backpropagation Learning61 topic
- Self-Organizing Maps61 topic
- Adversarial Examples41 topic
- Feature Matching41 topic
- Hyperparameter Optimization41 topic
- Interpretable Models41 topic
- Local Descriptors41 topic
- Machine Learning Interpretability41 topic
- Noisy Labels41 topic
- Robustness41 topic
- Object Tracking31 topic
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Visual Tracking31 topic
Where does François Fleuret work?
François Fleuret's main affiliation in the publication record is Idiap Research Institute, Switzerland.
How many publications and citations does François Fleuret have?
Science Explorer counts 67 works and 635 citations for François Fleuret, ranking #62,570 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.