Valter Crescenzi

Artificial Intelligence · 2001–2014

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Valter Crescenzi trusts overall

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

  1. Dana Angluin
  2. Burr Settles
  3. Nicholas Kushmerick
  4. Geoffrey J. McLachlan
  5. Arthur P. Dempster
  6. Panagiotis G. Ipeirotis
  7. Philip D. Laird
  8. Nan M. Laird
  9. David R Karger

Who trusts Valter Crescenzi overall

  1. Adrien Barbaresi
  2. Yuji Roh
  3. Panupong Pasupat
  4. Yanhong Zhai
  5. Wei David Liu
  6. Paramveer S. Dhillon
  7. Emilio Ferrara
  8. Kevin Chen-Chuan Chang
  9. Weiyi Meng
  10. Geon Heo

Papers from Valter Crescenzi's perspective

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

  1. Learning From Noisy Examples
  2. Get another label? improving data quality and data mining using multiple, noisy labelers
  3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. Queries revisited
  5. Active Learning Literature Survey
  6. The true sample complexity of active learning
  7. The EM algorithm and extensions
  8. Wrapper induction: Efficiency and expressiveness (Artificial Intelligence)
  9. Iterative Learning for Reliable Crowdsourcing Systems
  10. Automatic Wrappers for Large Scale Web Extraction

Their papers