Florence Forbes
Florence Forbes publishes mostly in Artificial Intelligence, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, on topics such as Bayesian Methods and Mixture Models, Statistical Methods and Inference and Anomaly Detection Techniques and Applications.
- World rank
- #5,569 of 1,633,909 ranked researchers
- Rank in France
- #346 of 96,116
- Works
- 107
- Citations
- 1.4k
- Citations per work
- 13.2
What does Florence Forbes research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence24% of their works
- 2Statistics and Probability14% of their works
- 3Radiology, Nuclear Medicine and Imaging10% of their works
- 4Signal Processing6% of their works
- 5Computer Vision and Pattern Recognition5% of their works
- 6Genetics5% of their works
Research topics
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Anomaly Detection Techniques and Applications
- Gaussian Processes and Bayesian Inference
- Gene expression and cancer classification
- Functional Brain Connectivity Studies
- Medical Image Segmentation Techniques
- Statistical Methods and Bayesian Inference
Which keywords describe Florence Forbes's research?
The keywords of their largest research topics: Bayesian Inference, Variational Inference, Clustering, High-Dimensional Data, Deep Learning, Dirichlet Process, Mixture Models and Regularization.
- Resting-State fMRI
- Microarray
- Image Segmentation
- Functional Connectivity
- Unsupervised
- Gaussian Processes
- Machine Learning
- Regularization
- Dirichlet Process
- High-Dimensional Data
- Variational Inference
- Bayesian Inference
- Clustering
- Deep Learning
- Mixture Models
- Variable Selection
- Anomaly Detection
- Sparse Regression
- Bayesian Modeling
- Gene Expression
- Medical Image Analysis
- Multiple Imputation
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
- Bayesian Inference152 topics
- Variational Inference152 topics
- Clustering142 topics
- High-Dimensional Data132 topics
- Deep Learning113 topics
- Dirichlet Process111 topic
- Mixture Models111 topic
- Regularization91 topic
- Variable Selection91 topic
- Machine Learning72 topics
- Anomaly Detection41 topic
- Gaussian Processes41 topic
- Sparse Regression41 topic
- Unsupervised41 topic
- Bayesian Modeling31 topic
- Functional Connectivity31 topic
- Gene Expression31 topic
- Image Segmentation31 topic
- Medical Image Analysis31 topic
- Microarray31 topic
- Multiple Imputation31 topic
- Resting-State fMRI31 topic
Where does Florence Forbes work?
Florence Forbes's main affiliation in the publication record is Centre Inria de l'Université Grenoble Alpes, France.
How many publications and citations does Florence Forbes have?
Science Explorer counts 107 works and 1,417 citations for Florence Forbes, ranking #5,569 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.
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