Should we really use post-hoc tests based on mean-ranks?

9 May 2015

Papers citing "Should we really use post-hoc tests based on mean-ranks?"

50 / 125 papers shown

Title
Bandwidth Selectors on Semiparametric Bayesian Networks Victor Alejandre C. Bielza P. Larrañaga 10 0 0 20 Jun 2025
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity Adrien Petralia Philippe Charpentier Youssef Kadhi Themis Palpanas 43 0 0 06 Jun 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 50 0 0 16 May 2025
Episodic Memories Generation and Evaluation Benchmark for Large Language Models Alexis Huet Zied Ben-Houidi Dario Rossi LLMAG 85 2 0 21 Jan 2025
AALF: Almost Always Linear Forecasting Matthias Jakobs Thomas Liebig AI4TS 155 0 0 17 Jan 2025
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering Christopher Holder Anthony J. Bagnall 123 0 0 26 Nov 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models Ricardo Knauer Mario Koddenbrock Raphael Wallsberger Nicholas M. Brisson Georg N. Duda Deborah Falla David W. Evans Erik Rodner 203 0 0 27 Sep 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications Ricardo Knauer Marvin Grimm Erik Rodner LMTD 111 2 0 03 Sep 2024
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version) Philipp Röchner Henrique O. Marques R. Campello Arthur Zimek Franz Rothlauf 45 0 0 28 Aug 2024
Predicting Long-Term Allograft Survival in Liver Transplant Recipients Xiang Gao Michael Cooper Maryam Naghibzadeh Amirhossein Azhie M. Bhat Rahul G. Krishnan 53 0 0 10 Aug 2024
Are Logistic Models Really Interpretable? Danial Dervovic Freddy Lecue Nicolas Marchesotti Daniele Magazzeni 77 0 0 19 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
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS 61 0 0 29 May 2024
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition Yicheng Wang Mark Cusick Mohamed Laila Kate Puech Zhengping Ji Helen Zhou Michael Wilson Noah Spitzer-Williams Bryan Wheeler Yasser Ibrahim 57 0 0 21 May 2024
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications Ricardo Knauer Erik Rodner LMTD 128 3 0 13 May 2024
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples Ao Zhou Bin Liu Jin Wang Grigorios Tsoumakas 63 2 0 27 Mar 2024
Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models Haddouchi Maissae Berrado Abdelaziz 76 1 0 26 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression Victor Dheur Souhaib Ben Taieb 187 4 0 18 Mar 2024
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 52 7 0 15 Feb 2024
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance João P C Bertoldo Dick Ameln Ashwin Vaidya Samet Akccay 79 3 0 03 Jan 2024
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting Matthias Jakobs Amal Saadallah 101 5 0 02 Jan 2024
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! Tirth Patel Fred Lu Edward Raff Charles K. Nicholas Cynthia Matuszek James Holt 85 3 0 25 Dec 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests Edward Raff James Holt 59 3 0 27 Oct 2023
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain Junru Zhang Lang Feng Yang He Yuhan Wu Yabo Dong AI4TS 87 6 0 09 Oct 2023
Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms Mojtaba A. Farahani M. R. McCormick R. Harik Thorsten Wuest 78 26 0 04 Oct 2023
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging Ali Ismail-Fawaz Hassan Ismail Fawaz Franccois Petitjean Maxime Devanne Jonathan Weber Stefano Berretti Geoffrey I. Webb Germain Forestier AI4TS 52 6 0 28 Sep 2023
Local and Global Trend Bayesian Exponential Smoothing Models Slawek Smyl Christoph Bergmeir Alexander Dokumentov Xueying Long Erwin Wibowo Daniel F. Schmidt 55 4 0 25 Sep 2023
Video Scene Location Recognition with Neural Networks Lukáš Korel Petr Pulc Jirí Tumpach M. Holeňa 13 0 0 21 Sep 2023
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts Lukáš Korel Alexander S. Behr N. Kockmann M. Holeňa 132 0 0 17 Sep 2023
Deep Active Audio Feature Learning in Resource-Constrained Environments Md Mohaimenuzzaman Christoph Bergmeir B. Meyer 45 2 0 25 Aug 2023
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting Ferdian Jovan Catherine Morgan Ryan McConville E. Tonkin I. Craddock Alan Whone 32 3 0 03 Aug 2023
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion Aurélien Renault A. Bondu V. Lemaire D. Gay AI4TS 67 1 0 02 Aug 2023
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series Luca A. Bennett Zahraa S Abdallah AI4TS 40 2 0 25 Jul 2023
AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan Chalisa Udompanyawit Artur Dubrawski 104 13 0 15 Jun 2023
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 65 1 0 10 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur Souhaib Ben Taieb BDL 185 14 0 05 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
Time Series Clustering With Random Convolutional Kernels J. Marco-Blanco R. C. Rumín AI4TS 64 13 0 17 May 2023
A Dictionary-based approach to Time Series Ordinal Classification Rafael Ayllón-Gavilán David Guijo Rubio Pedro Antonio Gutiérrez César Hervás-Martinez 133 1 0 16 May 2023
Fast Inference of Tree Ensembles on ARM Devices Simon Koschel Sebastian Buschjäger Claudio Lucchese K. Morik MQ 47 2 0 15 May 2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression David Guijo Rubio Matthew Middlehurst Guilherme G. Arcencio Diego Furtado Silva A. Bagnall AI4TS 93 9 0 02 May 2023
Bake off redux: a review and experimental evaluation of recent time series classification algorithms Matthew Middlehurst Patrick Schäfer A. Bagnall AI4TS 130 121 0 25 Apr 2023
Sparse Private LASSO Logistic Regression Amol Khanna Fred Lu Edward Raff Brian Testa 77 3 0 24 Apr 2023
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms Hannah Blocher G. Schollmeyer Christoph Jansen Malte Nalenz 37 7 0 19 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification Huaiyuan Liu Xianzhang Liu Donghua Yang Zhiyu Liang Hongzhi Wang Yong Cui Jun Gu AI4TS 88 31 0 11 Apr 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification Ismail B. Mustapha S. Hasan Hatem S Y Nabbus M. Montaser S. Olatunji Siti Maryam Shamsuddin OOD 43 2 0 04 Mar 2023
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion Mehryar Abbasi Parvaneh Saeedi AI4TS 84 7 0 13 Feb 2023
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 60 5 0 15 Jan 2023
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification Andrea Falanti Eugenio Lomurno Danilo Ardagna Matteo Matteucci AI4TS 74 11 0 13 Dec 2022
Graph Convolutional Networks for Traffic Forecasting with Missing Values Jingwei Zuo K. Zeitouni Y. Taher Sandra García-Rodríguez GNN AI4TS 61 43 0 13 Dec 2022