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Nigel Collier

21 papers hereh-index 478.2k citations193 works total

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

author position
  • sole author3
  • first author2
  • middle author1
  • last author14

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.SI2
  • cmp-lg1
  • cs.IR1
  • stat.ML1
same name
  • Nigel Collier — 38 papers, h 27
  • Nigel Collier — 18 papers, h 7
  • Nigel Collier — 13 papers, h 6
  • Nigel Collier — 12 papers, h 8
  • Nigel Collier — 4 papers, h 5
  • Nigel Collier — 3 papers, h 2

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
19962023
most citedChange-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

450 citations · 715 across the 18 of their papers we have counts for

collaborators
Showing 2011 · cs.CLShow all

4 papers · 2 filters

cs.CL2011★ 7 cited

Syndromic classification of Twitter messages

Nigel Collier, Son Doan

Recent studies have shown strong correlation between social networking data and national influenza rates. We expanded upon this success to develop an automated text mining system t…

cs.CL2011★ 11 cited

What's unusual in online disease outbreak news?

Nigel Collier

Background: Accurate and timely detection of public health events of international concern is necessary to help support risk assessment and response and save lives. Novel event-bas…

cs.CL2011★ 88 cited

OMG U got flu? Analysis of shared health messages for bio-surveillance

Nigel Collier, Nguyen Truong Son, Ngoc Mai Nguyen

Background: Micro-blogging services such as Twitter offer the potential to crowdsource epidemics in real-time. However, Twitter posts ('tweets') are often ambiguous and reactive to…

cs.CL2011

Towards cross-lingual alerting for bursty epidemic events

Nigel Collier

Background: Online news reports are increasingly becoming a source for event based early warning systems that detect natural disasters. Harnessing the massive volume of information…

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