Liyun He-Guelton

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 Liyun He-Guelton 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 Liyun He-Guelton's perspective

Ordered by how strongly the researchers Liyun He-Guelton 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