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Chris North

14 papers hereh-index 519.3k citations241 works total

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

author position
  • middle author4
  • last author10

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.HC7
  • cs.GR2
  • cs.LG2
  • cs.CL1
  • cs.DB1
  • cs.SI1
same name
  • Chris North — 10 papers, h 3
  • Chris North — 5 papers, h 3
  • Chris North — 5 papers, h 2
  • Chris North — 2 papers, h 0
  • Chris North — 1 paper, h 4
  • Chris North — 1 paper, h 1

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
20152023
most citedA Survey on Event-based News Narrative Extraction

26 citations · 67 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 1 cited

NetReAct: Interactive Learning for Network Summarization

Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch +4

Generating useful network summaries is a challenging and important problem with several applications like sensemaking, visualization, and compression. However, most of the current…

cs.HC2020

An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration

John Wenskovitch, Chris North

How do analysts think about grouping and spatial operations? This overarching question incorporates a number of points for investigation, including understanding how analysts begin…

cs.HC2020★ 2 cited

Evaluating Semantic Interaction on Word Embeddings via Simulation

Yali Bian, Michelle Dowling, Chris North

Semantic interaction (SI) attempts to learn the user's cognitive intents as they directly manipulate data projections during sensemaking activity. For text analysis, prior implemen…

cs.HC2020★ 2 cited

DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning

Yali Bian, John Wenskovitch, Chris North

This paper examines how deep learning (DL) representations, in contrast to traditional engineered features, can support semantic interaction (SI) in visual analytics. SI attempts t…

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