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1505.02288
Cited By
Should we really use post-hoc tests based on mean-ranks?
9 May 2015
A. Benavoli
Giorgio Corani
Francesca Mangili
Re-assign community
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Papers citing
"Should we really use post-hoc tests based on mean-ranks?"
25 / 125 papers shown
Title
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth
Annika Reinke
Bennett A. Landman
M. Jorge Cardoso
Lena Maier-Hein
A. Kopp-Schneider
66
98
0
11 Oct 2019
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets
Jinghui Lu
M. Henchion
Brian Mac Namee
AI4TS
39
9
0
04 Oct 2019
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
Dimitrios Sarigiannis
Thomas Parnell
Haris Pozidis
359
3
0
16 Sep 2019
GENDIS: GENetic DIscovery of Shapelets
Gilles Vandewiele
F. Ongenae
F. Turck
AI4TS
60
12
0
13 Sep 2019
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
196
1,134
0
11 Sep 2019
Scalable Dictionary Classifiers for Time Series Classification
Matthew Middlehurst
William D. Vickers
A. Bagnall
65
62
0
26 Jul 2019
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
102
186
0
25 Jun 2019
Ordinal Regression as Structured Classification
Niall Twomey
Rafael Poyiadzi
Callum Mann
Raúl Santos-Rodríguez
CML
19
0
0
31 May 2019
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
B. Liu
Grigorios Tsoumakas
43
26
0
02 May 2019
Deep Neural Network Ensembles for Time Series Classification
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
UQCV
63
71
0
15 Mar 2019
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin
Qiong Chen
Xiaoming Qi
OffRL
59
183
0
05 Jan 2019
Can automated smoothing significantly improve benchmark time series classification algorithms?
J. Large
Paul Southam
A. Bagnall
AI4TS
16
3
0
01 Nov 2018
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
70
838
0
17 Oct 2018
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection
Rafael M. O. Cruz
Dayvid V. R. Oliveira
George D. C. Cavalcanti
R. Sabourin
36
54
0
01 Oct 2018
Is rotation forest the best classifier for problems with continuous features?
A. Bagnall
Michael Flynn
J. Large
Jason Lines
A. Bostrom
G. Cawley
64
39
0
18 Sep 2018
Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning
Gonzalo Nápoles
Frank Vanhoenshoven
K. Vanhoof
11
19
0
16 Sep 2018
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
376
2,727
0
12 Sep 2018
Online local pool generation for dynamic classifier selection: an extended version
Mariana A. Souza
George D. C. Cavalcanti
Rafael M. O. Cruz
R. Sabourin
44
26
0
05 Sep 2018
Making Classifier Chains Resilient to Class Imbalance
Bin Liu
Grigorios Tsoumakas
42
17
0
30 Jul 2018
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection
Dayvid V. R. Oliveira
George D. C. Cavalcanti
Thyago N. Porpino
Rafael M. O. Cruz
R. Sabourin
35
11
0
18 Apr 2018
QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation
Tomáš Kliegr
E. Izquierdo
27
5
0
28 Nov 2017
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts
J. Large
Jason Lines
A. Bagnall
53
28
0
25 Oct 2017
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings
A. Bagnall
A. Bostrom
J. Large
Jason Lines
58
14
0
28 Mar 2017
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
A. Bagnall
G. Cawley
48
20
0
20 Mar 2017
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
A. Benavoli
Giorgio Corani
J. Demšar
Marco Zaffalon
BDL
117
426
0
14 Jun 2016
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