Cécile Capponi

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Cécile Capponi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Charles Peter Elkan
2. Kai Ming Ting
3. Yanmin Sun
4. Andrew Estabrooks
5. Antoine Bordes

Papers from Cécile Capponi's perspective

Ordered by how strongly the researchers Cécile Capponi trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Foundations of Cost-Sensitive Learning
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
8. Fast Kernel Classifiers with Online and Active Learning
9. An introduction to ROC analysis
10. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems

Their papers

• On multi-class classification through the minimization of the confusion matrix norm (2013) — 26 citations