Julie Moeyersoms

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Information Systems — 12 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Julie Moeyersoms trusts overall

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

1. David Martens
2. Foster J. Provost
3. Sofus A. Macskassy
4. Enric Junqué de Fortuny
5. Rong-En Fan
6. Jaka Demsar
7. Qing Lu

Papers from Julie Moeyersoms's perspective

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

1. LIBLINEAR: A Library for Large Linear Classification
2. Et al
3. Statistical Comparisons of Classifiers over Multiple Data Sets
4. A Simple Relational Classifier
5. Demographic prediction based on user's browsing behavior (The Web Conference)
6. Explaining Data-Driven Document Classifications
7. Transaction aggregation as a strategy for credit card fraud detection (Data mining and knowledge discovery)
8. Statistical fraud detection: A review
9. Data mining for credit card fraud: A comparative study (Decision Support Systems)
10. The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List

Their papers

• Corporate residence fraud detection (2014) — 35 citations
• Explaining Classification Models Built on High-Dimensional Sparse Data (2016) — 16 citations
• Who cares about your Facebook friends? Credit scoring for microfinance (2015) — 14 citations