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researcher

N. Chawla

97 papers hereh-index 7767.1k citations511 works total

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

author position
  • first author2
  • middle author27
  • last author65

Across the 94 of 97 papers where every author was matched, so the position is known.

fields
  • cs.LG49
  • cs.SI19
  • cs.CL7
  • physics.soc-ph3
  • cs.CV2
  • cs.CY2
same name
  • N. Chawla — 1 paper, h 57
  • N. Chawla — 1 paper, h 5
  • N. Chawla — 1 paper, 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
20112026
most citedSMOTE: Synthetic Minority Over-sampling Technique

33.1k citations · 35.3k across the 95 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.SI2015

Modeling the Interplay Between Individual Behavior and Network Distributions

Yang Yang, Jie Tang, Yuxiao Dong +3

It is well-known that many networks follow a power-law degree distribution; however, the factors that influence the formation of their distributions are still unclear. How can one…

cs.SI2015★ 220 cited

Representing higher-order dependencies in networks

Jian Xu, Thanuka L. Wickramarathne, Nitesh V. Chawla

To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representin…

cs.IR2015★ 289 cited

Evaluating Link Prediction Methods

Yang Yang, Ryan N. Lichtenwalter, Nitesh V. Chawla

Link prediction is a popular research area with important applications in a variety of disciplines, including biology, social science, security, and medicine. The fundamental requi…

cs.SI2015★ 16 cited

Inferring Unusual Crowd Events From Mobile Phone Call Detail Records

Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas +3

The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable knowledge about crowd behaviors in urban environments. Cities can leverage such…

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