Virginie Uhlmann
Biophysics · 2016
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biophysics — 6 citations into it
- Media Technology — 6 citations into it
- Molecular Biology — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Virginie Uhlmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- E. Glory
- Hanchuan Peng
- Anne E Carpenter
- Aditya Vailaya
- Robert F. Murphy
- Mathias Uhlen
- Fabian Pedregosa
- Fuhui Long
- Mário A. T. Figueiredo
Who trusts Virginie Uhlmann overall
Papers from Virginie Uhlmann's perspective
Ordered by how strongly the researchers Virginie Uhlmann trusts endorse each paper. Same corpus, a different order for every researcher.
- CellProfiler: image analysis software for identifying and quantifying cell phenotypes
- Textural Features for Image Classification
- Towards a knowledge-based Human Protein Atlas (Nature Biotechnology)
- Automated subcellular location determination and high-throughput microscopy. (Developmental Cell)
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
- Scikit-learn: Machine Learning in Python
- Textural Features Corresponding to Visual Perception
- Annotated high-throughput microscopy image sets for validation
- Image classification for content-based indexing (IEEE Transactions on Image Processing)
- A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Their papers
- CP-CHARM: segmentation-free image classification made accessible (2016) — 59 citations