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
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction Bin Liu J. Wang K. Sun Grigorios Tsoumakas 121 6 0 01 Dec 2022
On the trace ratio method and Fisher's discriminant analysis for robust multigroup classification G. Ferrandi Igor V. Kravchenko M. Hochstenbach M. R. Oliveira 18 1 0 15 Nov 2022
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 69 0 0 11 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik DD AI4CE 57 5 0 11 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 62 14 0 08 Nov 2022
Voteñ'Rank: Revision of Benchmarking with Social Choice Theory Mark Rofin Vladislav Mikhailov Mikhail Florinskiy A. Kravchenko E. Tutubalina Tatiana Shavrina Daniel Karabekyan Ekaterina Artemova 87 11 0 11 Oct 2022
Data Selection: A General Principle for Building Small Interpretable Models Abhishek Ghose 55 0 0 08 Oct 2022
Experimental study of time series forecasting methods for groundwater level prediction Michael Franklin Mbouopda Thomas Guyet Nicolas Labroche Abel Henriot 74 1 0 28 Sep 2022
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
Hybrid cuckoo search algorithm for the minimum dominating set problem Belkacem Zouilekh S. Bouroubi 11 0 0 28 Jun 2022
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification Bhaskar Dhariyal Thach le Nguyen Georgiana Ifrim AI4TS 40 9 0 18 Jun 2022
Fuzzy granular approximation classifier Marko Palangetić Chris Cornelis Salvatore Greco Roman Slowiñski 16 1 0 02 Jun 2022
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering Christopher Holder Matthew Middlehurst A. Bagnall AI4TS 81 43 0 30 May 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 95 9 0 09 Apr 2022
HYDRA: Competing convolutional kernels for fast and accurate time series classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb 75 61 0 25 Mar 2022
Continuously Generalized Ordinal Regression for Linear and Deep Models Fred Lu Francis Ferraro Edward Raff 26 4 0 14 Feb 2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier Matthew Middlehurst A. Bagnall AI4TS 80 18 0 28 Jan 2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization B. Liu D. Papadopoulos Fragkiskos D. Malliaros Grigorios Tsoumakas A. Papadopoulos 53 8 0 24 Jan 2022
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification Xueyuan Gong Yain-Whar Si Yongqi Tian Cong Lin Xinyuan Zhang Xiaoxiang Liu 88 6 0 04 Dec 2021
MrSQM: Fast Time Series Classification with Symbolic Representations Thach le Nguyen Georgiana Ifrim 58 14 0 02 Sep 2021
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification Matthew Middlehurst J. Large G. Cawley A. Bagnall 65 72 0 09 May 2021
Optimizing Area Under the Curve Measures via Matrix Factorization for Predicting Drug-Target Interaction with Multiple Similarities B. Liu Grigorios Tsoumakas 27 3 0 01 May 2021
HIVE-COTE 2.0: a new meta ensemble for time series classification Matthew Middlehurst J. Large Michael Flynn Jason Lines A. Bostrom A. Bagnall AI4TS 113 250 0 15 Apr 2021
Model Compression for Dynamic Forecast Combination Vítor Cerqueira Luís Torgo Carlos Soares Albert Bifet AI4TS AI4CE 30 4 0 05 Apr 2021
Learnable Dynamic Temporal Pooling for Time Series Classification Dongha Lee Seonghyeon Lee Hwanjo Yu AI4TS 92 29 0 02 Apr 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 101 7 0 01 Apr 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 100 45 0 24 Mar 2021
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers Mariem Abid Amal Khabou Y. Ouakrim Hugo Watel Safouene Chemcki A. Mitiche Amel Benazza-Benyahia N. Mezghani 49 6 0 02 Mar 2021
Elastic Similarity and Distance Measures for Multivariate Time Series Ahmed Shifaz Charlotte Pelletier F. Petitjean Geoffrey I. Webb AI4TS 83 21 0 20 Feb 2021
Optimised one-class classification performance O. Lenz Daniel Peralta Chris Cornelis 55 4 0 04 Feb 2021
Average Localised Proximity: A new data descriptor with good default one-class classification performance O. Lenz Daniel Peralta Chris Cornelis 25 13 0 26 Jan 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 102 46 0 30 Dec 2020
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 123 371 0 16 Dec 2020
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 209 100 0 20 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 79 38 0 01 Oct 2020
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction C. Rosenberg Leon Moonen 26 14 0 07 Sep 2020
A Visual Analytics Framework for Contrastive Network Analysis Takanori Fujiwara Jian Zhao Francine Chen K. Ma 48 12 0 01 Aug 2020
Benchmarking Multivariate Time Series Classification Algorithms Alejandro Pasos Ruiz Michael Flynn A. Bagnall AI4TS 107 383 0 26 Jul 2020
SnapBoost: A Heterogeneous Boosting Machine Thomas Parnell Andreea Anghel M. Lazuka Nikolas Ioannou Sebastian Kurella Peshal Agarwal N. Papandreou Haralambos Pozidis 35 0 0 17 Jun 2020
Selecting the Number of Clusters $K$ with a Stability Trade-off: an Internal Validation Criterion Alex Mourer Florent Forest M. Lebbah Hanane Azzag J. Lacaille 28 7 0 15 Jun 2020
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Csaba Tóth Patric Bonnier Harald Oberhauser AI4TS 87 14 0 12 Jun 2020
A Generalised Signature Method for Multivariate Time Series Feature Extraction James Morrill Adeline Fermanian Patrick Kidger Terry Lyons 93 14 0 01 Jun 2020
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations Thach le Nguyen S. Gsponer Iulia Ilie Martin O'Reilly Georgiana Ifrim AI4TS 69 108 0 31 May 2020
Multi-Label Sampling based on Local Label Imbalance B. Liu K. Blekas Grigorios Tsoumakas 43 50 0 07 May 2020
An Evaluation of Change Point Detection Algorithms G. V. D. Burg Christopher K. I. Williams AI4TS 90 175 0 13 Mar 2020
Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering Yuan Jin He Zhao Ming Liu Ye Zhu Lan Du Longxiang Gao He Zhang Wray Buntine 187 0 0 21 Feb 2020
An interpretable semi-supervised classifier using two different strategies for amended self-labeling Isel Grau Dipankar Sengupta M. Lorenzo A. Nowé SSL 93 4 0 26 Jan 2020
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers A. Bagnall J. Large Matthew Middlehurst AI4TS 49 1 0 27 Nov 2019
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels Angus Dempster Franccois Petitjean Geoffrey I. Webb AI4TS 91 786 0 29 Oct 2019