François Bachoc
François Bachoc publishes mostly in Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, on topics such as Statistical Methods and Inference, Gaussian Processes and Bayesian Inference and Soil Geostatistics and Mapping.
- World rank
- #956,678 of 1,633,909 ranked researchers
- Rank in France
- #59,272 of 96,116
- Works
- 44
- Citations
- 101
- Citations per work
- 2.3
What does François Bachoc research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence29% of their works
- 2Statistics and Probability14% of their works
- 3Management Science and Operations Research12% of their works
- 4Environmental Engineering9% of their works
- 5Statistics, Probability and Uncertainty5% of their works
- 6Signal Processing5% of their works
Research topics
Which keywords describe François Bachoc's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Regularization, Variable Selection, Digital Soil Mapping, Gaussian Processes, Geostatistics and Neural Networks.
- Robustness
- Interpretable Models
- Adversarial Examples
- Sensitivity Analysis
- Experimental Design
- Neural Networks
- Gaussian Processes
- Variable Selection
- Deep Learning
- Machine Learning
- Regularization
- Digital Soil Mapping
- Geostatistics
- Variational Inference
- Optimization
- Uncertainty Quantification
- Backpropagation Learning
- Machine Learning Interpretability
- Self-Organizing Maps
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
- Machine Learning103 topics
- Deep Learning83 topics
- Regularization51 topic
- Variable Selection51 topic
- Digital Soil Mapping41 topic
- Gaussian Processes41 topic
- Geostatistics41 topic
- Neural Networks42 topics
- Variational Inference41 topic
- Experimental Design31 topic
- Optimization31 topic
- Sensitivity Analysis31 topic
- Uncertainty Quantification31 topic
- Adversarial Examples21 topic
- Backpropagation Learning21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Robustness21 topic
- Self-Organizing Maps21 topic
Where does François Bachoc work?
François Bachoc's main affiliation in the publication record is Institut de Mathématiques de Toulouse, France.
How many publications and citations does François Bachoc have?
Science Explorer counts 44 works and 101 citations for François Bachoc, ranking #956,678 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.