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W. Campbell

9 papers hereh-index 356.5k citations136 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.SI5
  • cs.CL2
  • cs.AI1
  • cs.LG1
same name
  • W. Campbell — 27 papers, h 21
  • W. Campbell — 20 papers, h 21
  • W. Campbell — 12 papers, h 6
  • W. Campbell — 9 papers, h 7
  • W. Campbell — 5 papers, h 4
  • W. Campbell — 3 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedCross-Domain Entity Resolution in Social Media

11 citations · 34 across the 9 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.SI2016★ 3 cited

Model Selection Framework for Graph-based data

Rajmonda S. Caceres, Leah Weiner, Matthew C. Schmidt +2

Graphs are powerful abstractions for capturing complex relationships in diverse application settings. An active area of research focuses on theoretical models that define the gener…

cs.SI2016★ 11 cited

Cross-Domain Entity Resolution in Social Media

W. M. Campbell, Lin Li, C. Dagli +4

The challenge of associating entities across multiple domains is a key problem in social media understanding. Successful cross-domain entity resolution provides integration of info…

cs.SI2016★ 6 cited

Matching Community Structure Across Online Social Networks

Lin Li, W. M. Campbell

The discovery of community structure in networks is a problem of considerable interest in recent years. In online social networks, often times, users are simultaneously involved in…

cs.LG2016★ 7 cited

Multimodal Sparse Coding for Event Detection

Youngjune Gwon, William Campbell, Kevin Brady +3

Unsupervised feature learning methods have proven effective for classification tasks based on a single modality. We present multimodal sparse coding for learning feature representa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.