Patrick Mair

Orcid: 0000-0003-0100-6511

According to our database1, Patrick Mair authored at least 14 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling.
Stat. Comput., 2023

2022
More on Multidimensional Scaling and Unfolding in <i>R</i>: smacof Version 2.
J. Stat. Softw., 2022

2021
Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity.
NeuroImage, 2021

Cluster Optimized Proximity Scaling.
J. Comput. Graph. Stat., 2021

2017
Using multistage competing risks approaches to model web page transitions.
Internet Res., 2017

Breaking free from the limitations of classical test theory: Developing and measuring information systems scales using item response theory.
Inf. Manag., 2017

2014
Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41].
Soc. Networks, 2014

Making friends and communicating on Facebook: Implications for the access to social capital.
Soc. Networks, 2014

Web Technologies Task View.
R J., 2014

2013
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data.
Proceedings of the Algorithms from and for Nature and Life, 2013

Developing and Measuring IS Scales Using Item Response Theory.
Proceedings of the International Conference on Information Systems, 2013

2011
Content-Based Social Network Analysis of Mailing Lists.
R J., 2011

2010
Text Categorization in R: A Reduced N-Gram Approach.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2007
Analysis of Dwell Times in Web Usage Mining.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007


  Loading...