Paul Sheridan

Orcid: 0000-0002-5484-1951

According to our database1, Paul Sheridan authored at least 13 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
The hypergeometric test performs comparably to TF-IDF on standard text analysis tasks.
Multim. Tools Appl., March, 2024

2023
Heaps' Law in GPT-Neo Large Language Model Emulated Corpora.
CoRR, 2023

A statistical significance testing approach for measuring term burstiness with applications to domain-specific terminology extraction.
CoRR, 2023

2021
Nonparametric estimation of the preferential attachment function from one network snapshot.
CoRR, 2021

Non-parametric estimation of the preferential attachment function from one network snapshot.
J. Complex Networks, 2021

2020
A hypergeometric test interpretation of a common tf-idf variant.
CoRR, 2020

2019
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise.
Future Internet, 2019

The Literary Theme Ontology for Media Annotation and Information Retrieval.
Proceedings of the Joint Ontology Workshops 2019 Episode V: The Styrian Autumn of Ontology, 2019

2018
A Knowledge-based Filtering Story Recommender System for Theme Lovers with an Application to the Star Trek Television Franchise.
CoRR, 2018

2017
A Preferential Attachment Paradox: How does Preferential Attachment Combine with Growth to Produce Networks with Log-normal In-degree Distributions?
CoRR, 2017

PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks.
CoRR, 2017

2014
Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity.
Proceedings of the 2014 European Conference on Complex Systems, 2014

2009
On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models.
Proceedings of the Complex Sciences, 2009


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