Sylvie Calabretto

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 8 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Sylvie Calabretto trusts overall

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

1. Paul J. Werbos

Papers from Sylvie Calabretto's perspective

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

1. Long Short-Term Memory
2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
3. On the difficulty of training recurrent neural networks
4. Scikit-learn: Machine Learning in Python
5. Finding Structure in Time
6. Generalization of backpropagation with application to a recurrent gas market model
7. SMOTE: Synthetic Minority Over-sampling Technique
8. A Comprehensive Survey of Data Mining-based Fraud Detection Research
9. Empirical Evaluation and Combination of Advanced Language Modeling Techniques
10. Bifurcations of Recurrent Neural Networks in Gradient Descent Learning

Their papers

• Sequence classification for credit-card fraud detection (2018) — 465 citations