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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 algorithms

25 April 2023
Matthew Middlehurst
Patrick Schäfer
A. Bagnall
    AI4TS
ArXivPDFHTML

Papers citing "Bake off redux: a review and experimental evaluation of recent time series classification algorithms"

18 / 18 papers shown
Title
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu
Yicheng Luo
Yangqiu Song
Emadeldeen Eldele
Min-man Wu
Qianli Ma
AI4TS
29
0
0
11 May 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
A. Aldroubi
Rocio Diaz Martin
I. Medri
Kristofor E. Pas
Gustavo K. Rohde
A. Rubaiyat
AI4TS
26
0
0
08 May 2025
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Muyao Zhong
Yushi Lin
Peng Yang
AI4TS
53
0
0
04 May 2025
On the Feasibility of Vision-Language Models for Time-Series Classification
On the Feasibility of Vision-Language Models for Time-Series Classification
Vinay Prithyani
Mohsin Mohammed
Richa Gadgil
Ricardo Buitrago
Vinija Jain
Aman Chadha
VLM
45
2
0
23 Dec 2024
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
Irina Barašin
Blaž Bertalanič
M. Mohorčič
Carolina Fortuna
AI4TS
136
2
0
22 Nov 2024
Time series classification with random convolution kernels: pooling operators and input representations matter
Time series classification with random convolution kernels: pooling operators and input representations matter
Mouhamadou Mansour Lo
Gildas Morvan
Mathieu Rossi
Fabrice Morganti
David Mercier
AI4TS
24
0
0
02 Sep 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
40
1
0
31 Jul 2024
Nonlinear time-series embedding by monotone variational inequality
Nonlinear time-series embedding by monotone variational inequality
Jonathan Y. Zhou
Yao Xie
AI4TS
36
0
0
11 Jun 2024
Advancing Time Series Classification with Multimodal Language Modeling
Advancing Time Series Classification with Multimodal Language Modeling
Mingyue Cheng
Yiheng Chen
Qi Liu
Zhiding Liu
Yucong Luo
AI4TS
33
11
0
19 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
38
15
0
29 Feb 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Angus Dempster
Geoffrey I. Webb
Daniel F. Schmidt
29
0
0
28 Jan 2024
Finding Foundation Models for Time Series Classification with a PreText
  Task
Finding Foundation Models for Time Series Classification with a PreText Task
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
31
5
0
24 Nov 2023
Detach-ROCKET: Sequential feature selection for time series
  classification with random convolutional kernels
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri
Federico Barone
A. Ansuini
Erik Fransén
AI4TS
42
6
0
25 Sep 2023
QUANT: A Minimalist Interval Method for Time Series Classification
QUANT: A Minimalist Interval Method for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
19
9
0
02 Aug 2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic
  Regression
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
David Guijo Rubio
Matthew Middlehurst
Guilherme G. Arcencio
Diego Furtado Silva
A. Bagnall
AI4TS
32
9
0
02 May 2023
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series
  Classifier
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
Matthew Middlehurst
A. Bagnall
AI4TS
21
18
0
28 Jan 2022
Random Dilated Shapelet Transform: A New Approach for Time Series
  Shapelets
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
Antoine Guillaume
Christel Vrain
Wael Elloumi
AI4TS
48
31
0
28 Sep 2021
InceptionTime: Finding AlexNet for Time Series Classification
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
96
1,072
0
11 Sep 2019
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