Pierre-Edouard Portier

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 Pierre-Edouard Portier trusts

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

1. Jeffrey L. Elman (in Model Architectures)
2. Thomas G. Dietterich (in Artificial Intelligence)
3. Paul J. Werbos (in Natural Language Processing)

Papers from Pierre-Edouard Portier's perspective

Ordered by how strongly the researchers Pierre-Edouard Portier 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. Scikit-learn: Machine Learning in Python
4. On the difficulty of training recurrent neural networks
5. Generalization of backpropagation with application to a recurrent gas market model
6. SMOTE: Synthetic Minority Over-sampling Technique
7. Finding Structure in Time
8. A Comprehensive Survey of Data Mining-based Fraud Detection Research
9. Empirical Evaluation and Combination of Advanced Language Modeling Techniques
10. Hellinger distance decision trees are robust and skew-insensitive

Their papers

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