Cleo-Aron Weis
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
Whom Cleo-Aron Weis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Cleo-Aron Weis overall
Papers from Cleo-Aron Weis's perspective
Ordered by how strongly the researchers Cleo-Aron Weis trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- SUN database: Large-scale scene recognition from abbey to zoo
- Deep Learning
- Textons, the elements of texture perception, and their interactions
- The Human Protein Atlas—a tool for pathology (Journal of Pathology)
- Textural Features Corresponding to Visual Perception
- The FERET database and evaluation procedure for face-recognition algorithms
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Their papers
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study (2019) — 1,042 citations
- Multi-class texture analysis in colorectal cancer histology (2016) — 584 citations
- New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images (2015) — 19 citations
- Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images (2015) — 66 citations