Statistical comparison of classifiers through Bayesian hierarchical
modelling

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Statistical comparison of classifiers through Bayesian hierarchical modelling

28 September 2016

Francesca Mangili

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Papers citing "Statistical comparison of classifiers through Bayesian hierarchical modelling"

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Title
Generalizability of experimental studies Federico Matteucci Vadim Arzamasov Jose Cribeiro-Ramallo Marco Heyden Konstantin Ntounas Klemens Bohm 116 0 0 25 Jun 2024
Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen G. Schollmeyer Julian Rodemann Hannah Blocher Thomas Augustin 92 4 0 06 Jun 2024
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection Jinyang Yu Sami U Hamdan Leonard Sasse Abigail Morrison K. Patil 23 0 0 23 Nov 2023
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement Christoph Jansen G. Schollmeyer Hannah Blocher Julian Rodemann Thomas Augustin 51 14 0 22 Jun 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set Ali Ismail-Fawaz Angus Dempster Chang Wei Tan Matthieu Herrmann Lynn Miller ... Stefano Berretti J. Weber Maxime Devanne Germain Forestier Geoffrey I. Webb 92 19 0 19 May 2023
Learning Choice Functions with Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 62 5 0 01 Feb 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance Christoph Jansen Malte Nalenz G. Schollmeyer Thomas Augustin 69 15 0 05 Sep 2022
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets Jacques Wainer 88 10 0 09 Aug 2022
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System Michael Heider Helena Stegherr Jonathan Wurth Roman Sraj J. Hähner 44 5 0 12 Jul 2022
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization Alejandro Rosales-Pérez S. García Francisco Herrera 76 17 0 21 Apr 2022
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System Michael Heider Helena Stegherr Jonathan Wurth Roman Sraj J. Hähner 24 10 0 03 Feb 2022
A Comparative Evaluation of Quantification Methods Tobias Schumacher M. Strohmaier Florian Lemmerich MQ 90 14 0 04 Mar 2021
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing Piotr Szymañski Kyle Gorman 44 5 0 06 Oct 2020
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 96 77 0 24 Sep 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 130 26 0 08 Jun 2020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review Jacinto Carrasco S. García M. Rueda Swagatam Das Francisco Herrera 63 415 0 21 Feb 2020
Should we Reload Time Series Classification Performance Evaluation ? (a position paper) D. Gay V. Lemaire 33 6 0 08 Mar 2019
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 119 426 0 14 Jun 2016