◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

N. Hurley

3 papers hereh-index 324.8k citations165 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • physics.soc-ph1
  • stat.ML1
same name
  • N. Hurley — 6 papers

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
20102019
most citedUsing Model-based Overlapping Seed Expansion to detect highly overlapping community structure

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

stat.ML2019

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies

Weipeng Huang, Guangyuan Piao, Raul Moreno +1

Hierarchical clustering has been shown to be valuable in many scenarios. Despite its usefulness to many situations, there is no agreed methodology on how to properly evaluate the h…

cs.CL2018

Story Disambiguation: Tracking Evolving News Stories across News and Social Streams

Bichen Shi, Thanh-Binh Le, Neil Hurley +1

Following a particular news story online is an important but difficult task, as the relevant information is often scattered across different domains/sources (e.g., news articles, b…

physics.soc-ph2010★ 2 cited

Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure

Aaron F. McDaid, Neil J. Hurley

As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms have been pro…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.