Luca Bogoni

Artificial Intelligence · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #23,083 of 35,345 by trust here, #9,760 by citations

Whom Luca Bogoni trusts

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

1. Mark A. Hall (in Artificial Intelligence)
2. Eibe Frank (in Artificial Intelligence)

Who trusts Luca Bogoni

1. Zhi-Hua Zhou (in Artificial Intelligence)
2. Hongwei Li (in Artificial Intelligence)
3. Ata Kabán (in Artificial Intelligence)
4. Jakramate Bootkrajang (in Artificial Intelligence)

Papers from Luca Bogoni's perspective

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

1. Utility data annotation with Amazon Mechanical Turk
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm
4. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
5. Learning with Multiple Labels (Neural Information Processing Systems)
6. Learning with an unreliable teacher
7. Get another label? improving data quality and data mining using multiple, noisy labelers
8. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
9. Supervised learning from multiple experts: whom to trust when everyone lies a bit (International Conference on Machine Learning)
10. A Simple Approach to Ordinal Classification (European Conference on Machine Learning)

Their papers

• Learning From Crowds (2010) — 1,543 citations
• Supervised learning from multiple experts: whom to trust when everyone lies a bit (2009) — 391 citations