Sheila Tejada

Information Systems · 2001–2002

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Whom Sheila Tejada trusts overall

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

1. Naoki Abe
2. Amit P. Sheth
3. Andrew McCallum
4. Hiroshi Mamitsuka
5. Kamal Nigam
6. Craig A. Knoblock
7. Lyle Ungar

Who trusts Sheila Tejada overall

1. Peter Christen
2. Hanna Köpcke
3. Indrajit Bhattacharya
4. Mikhail Bilenko
5. Erhard Rahm
6. Hui Han
7. William W. Cohen
8. Xin Luna Dong
9. Giorgos Stoilos
10. Wensheng Wu

Papers from Sheila Tejada's perspective

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

1. An algorithm for suffix stripping
2. Query Learning Strategies Using Boosting and Bagging
3. Learning to Classify Text from Labeled and Unlabeled Documents
4. Long Short-Term Memory
5. Federated database systems for managing distributed, heterogeneous, and autonomous databases
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. Efficient clustering of high-dimensional data sets with application to reference matching (Knowledge Discovery and Data Mining)
10. Learning object identification rules for information integration (Information Systems)

Their papers

• Learning object identification rules for information integration (2001) — 347 citations
• Learning domain-independent string transformation weights for high accuracy object identification (2002) — 321 citations