ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.07551
  4. Cited By
HIVE-COTE 2.0: a new meta ensemble for time series classification

HIVE-COTE 2.0: a new meta ensemble for time series classification

15 April 2021
Matthew Middlehurst
J. Large
Michael Flynn
Jason Lines
A. Bostrom
A. Bagnall
    AI4TS
ArXivPDFHTML

Papers citing "HIVE-COTE 2.0: a new meta ensemble for time series classification"

26 / 26 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
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
Yunrui Zhang
Gustavo Batista
S. Kanhere
62
0
0
26 Mar 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
Jize Wang
47
0
0
25 Feb 2025
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Quentin Renau
E. Hart
29
0
0
20 Jan 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
154
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
CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
AI4TS
CML
29
3
0
24 May 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
34
5
0
24 Nov 2023
Time-Series Classification in Smart Manufacturing Systems: An
  Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
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
25
18
0
04 Oct 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
45
6
0
25 Sep 2023
Automatic Feature Engineering for Time Series Classification: Evaluation
  and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Aurélien Renault
A. Bondu
V. Lemaire
D. Gay
AI4TS
33
1
0
02 Aug 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
38
9
0
02 May 2023
Patterns Detection in Glucose Time Series by Domain Transformations and
  Deep Learning
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning
J. Alvarado
J. M. Velasco
F. Chávez
J. I. Hidalgo
F. F. D. Vega
AI4TS
13
0
0
30 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble
  Distillation -- Extended Version
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version
David Campos
Miao Zhang
B. Yang
Tung Kieu
Chenjuan Guo
Christian S. Jensen
AI4TS
45
47
0
24 Feb 2023
Dynamic Sparse Network for Time Series Classification: Learning What to
  "see''
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao
Boqian Wu
Yu Zhang
Shiwei Liu
Mykola Pechenizkiy
Elena Mocanu
Decebal Constantin Mocanu
AI4TS
38
28
0
19 Dec 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance
  Dataset from the NGAFID
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
Hong Yang
Travis J. Desell
AI4TS
21
1
0
13 Oct 2022
Active Transfer Prototypical Network: An Efficient Labeling Algorithm
  for Time-Series Data
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqi Zhu
M. Tnani
Timo Jahnz
Klaus Diepold
13
0
0
28 Sep 2022
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero
  Shot Learning
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
Sathvik Bhaskarpandit
Priyanka Gupta
Manik Gupta
BDL
AI4TS
25
2
0
25 Jul 2022
COSTI: a New Classifier for Sequences of Temporal Intervals
COSTI: a New Classifier for Sequences of Temporal Intervals
J. Bilski
A. Jastrzębska
AI4TS
23
0
0
28 Apr 2022
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
29
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
Elastic Similarity and Distance Measures for Multivariate Time Series
Elastic Similarity and Distance Measures for Multivariate Time Series
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
38
18
0
20 Feb 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
102
1,072
0
11 Sep 2019
1