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The FreshPRINCE: A Simple Transformation Based Pipeline Time Series
  Classifier

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

International Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2022
28 January 2022
Matthew Middlehurst
A. Bagnall
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier"

9 / 9 papers shown
Title
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification
Jake S. Rhodes
Adam G. Rustad
Sofia Pelagalli Maia
Evan Thacker
Hyunmi Choi
Jose Gutierrez
Tatjana Rundek
Ben Shaw
AI4TS
68
1
0
26 Sep 2025
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
C. Yue
N. Jha
AI4CE
36
0
0
24 Aug 2025
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
Yaoyu Zhang
Chi-Guhn Lee
DiffM
100
0
0
28 Jul 2025
An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions
An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions
Akram Aldroubi
Rocio Diaz Martin
Ivan Medri
Kristofor E. Pas
Gustavo K. Rohde
A. Rubaiyat
AI4TS
200
0
0
08 May 2025
aeon: a Python toolkit for learning from time series
aeon: a Python toolkit for learning from time series
Matthew Middlehurst
Ali Ismail-Fawaz
Antoine Guillaume
Christopher Holder
David Guijo Rubio
...
Leonidas Tsaprounis
Lukasz Mentel
Martin Walter
Patrick Schäfer
Anthony Bagnall
AI4TS
155
46
0
20 Jun 2024
Automatic Feature Engineering for Time Series Classification: Evaluation
  and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and DiscussionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Aurélien Renault
A. Bondu
V. Lemaire
D. Gay
AI4TS
141
4
0
02 Aug 2023
QUANT: A Minimalist Interval Method for Time Series Classification
QUANT: A Minimalist Interval Method for Time Series ClassificationData mining and knowledge discovery (DMKD), 2023
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
117
24
0
02 Aug 2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic
  Regression
Unsupervised Feature Based Algorithms for Time Series Extrinsic RegressionData mining and knowledge discovery (DMKD), 2023
David Guijo Rubio
Matthew Middlehurst
Guilherme G. Arcencio
Diego Furtado Silva
A. Bagnall
AI4TS
197
15
0
02 May 2023
Bake off redux: a review and experimental evaluation of recent time
  series classification algorithms
Bake off redux: a review and experimental evaluation of recent time series classification algorithmsData mining and knowledge discovery (DMKD), 2023
Matthew Middlehurst
Patrick Schäfer
A. Bagnall
AI4TS
254
169
0
25 Apr 2023
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