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A Time Series Forest for Classification and Feature Extraction
v1v2 (latest)

A Time Series Forest for Classification and Feature Extraction

9 February 2013
Houtao Deng
G. Runger
E. Tuv
V. Martyanov
ArXiv (abs)PDFHTML

Papers citing "A Time Series Forest for Classification and Feature Extraction"

50 / 96 papers shown
Title
Interval-Valued Time Series Classification Using $D_K$-Distance
Interval-Valued Time Series Classification Using DKD_KDK​-Distance
Wan Tian
Zhongfeng Qin
AI4TS
77
1
0
07 Apr 2025
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
M. Takamoto
Daniel Oñoro-Rubio
Wiem Ben-Rim
Takashi Maruyama
Bhushan Kotnis
69
1
0
04 Apr 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
98
0
0
26 Mar 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
106
0
0
20 Jan 2025
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework
Jihan Ghanim
M. Awad
AI4TS
126
2
0
03 Jan 2025
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced
  Self-Attention for Multivariate Time Series Classification
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
Wenjie Xi
Rundong Zuo
Alejandro Alvarez
Jie Zhang
Byron Choi
Jessica Lin
AI4TS
103
0
0
21 Dec 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced
  Time Series Classification
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao
Tingyue Pan
Mingyue Cheng
Yucong Luo
AI4TS
57
4
0
24 Oct 2024
User-friendly Foundation Model Adapters for Multivariate Time Series
  Classification
User-friendly Foundation Model Adapters for Multivariate Time Series Classification
Vasilii Feofanov
Romain Ilbert
Malik Tiomoko
Themis Palpanas
I. Redko
AI4TS
57
0
0
18 Sep 2024
Towards Hybrid Embedded Feature Selection and Classification Approach
  with Slim-TSF
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
Anli Ji
Chetraj Pandey
Berkay Aydin
43
0
0
06 Sep 2024
Characterizing Encrypted Application Traffic through Cellular Radio
  Interface Protocol
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
Md Ruman Islam
Raja Hasnain Anwar
Spyridon Mastorakis
Muhammad Taqi Raza
34
1
0
10 Jul 2024
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
89
20
0
20 Jun 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
DiffMAI4TSCML
63
3
0
24 May 2024
Learning Transferable Time Series Classifier with Cross-Domain
  Pre-training from Language Model
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model
Mingyue Cheng
Xiaoyu Tao
Qi Liu
Hao Zhang
Yiheng Chen
Chenyi Lei
AI4TS
79
7
0
19 Mar 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
83
12
0
19 Mar 2024
Motion Code: Robust Time series Classification and Forecasting via
  Sparse Variational Multi-Stochastic Processes Learning
Motion Code: Robust Time series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
Minh Nguyen
Chandrajit Bajaj
AI4TS
52
1
0
21 Feb 2024
Time-Series Classification for Dynamic Strategies in Multi-Step
  Forecasting
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
Riku W. Green
Grant Stevens
Telmo de Menezes e Silva Filho
Zahraa Abdallah
AI4TS
29
1
0
13 Feb 2024
Active Region-based Flare Forecasting with Sliding Window Multivariate
  Time Series Forest Classifiers
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
Anli Ji
Berkay Aydin
47
1
0
05 Feb 2024
Keeping Deep Learning Models in Check: A History-Based Approach to
  Mitigate Overfitting
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
Hao Li
Gopi Krishnan Rajbahadur
Dayi Lin
Cor-Paul Bezemer
Zhen Ming Jiang
Jiang
79
30
0
18 Jan 2024
ChemTime: Rapid and Early Classification for Multivariate Time Series
  Classification of Chemical Sensors
ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
Alexander M. Moore
Randy C. Paffenroth
Ken T. Ngo
J. Uzarski
AI4TS
24
1
0
15 Dec 2023
A Bag of Receptive Fields for Time Series Extrinsic Predictions
A Bag of Receptive Fields for Time Series Extrinsic Predictions
Francesco Spinnato
Riccardo Guidotti
A. Monreale
M. Nanni
AI4TS
20
0
0
29 Nov 2023
Performance Improvement in Multi-class Classification via Automated
  Hierarchy Generation and Exploitation through Extended LCPN Schemes
Performance Improvement in Multi-class Classification via Automated Hierarchy Generation and Exploitation through Extended LCPN Schemes
Celal Alagoz
17
0
0
31 Oct 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
78
24
0
04 Oct 2023
POCKET: Pruning Random Convolution Kernels for Time Series
  Classification from a Feature Selection Perspective
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
Shaowu Chen
Weize Sun
Lei Huang
Xiaopeng Li
Qingyuan Wang
Deepu John
AI4TS
82
2
0
15 Sep 2023
Improving the Accuracy of Transaction-Based Ponzi Detection on Ethereum
Improving the Accuracy of Transaction-Based Ponzi Detection on Ethereum
Phuong Duy Huynh
Son Hoang Dau
Xiaodong Li
Phuc-Hiep Luong
Emanuele Viterbo
AI4TS
47
0
0
31 Aug 2023
Classification of Anomalies in Telecommunication Network KPI Time Series
Classification of Anomalies in Telecommunication Network KPI Time Series
Korantin Bordeau-Aubert
Justin Whatley
S. Nadeau
Tristan Glatard
Brigitte Jaumard
AI4TS
21
0
0
30 Aug 2023
Multivariate time series classification with dual attention network
Multivariate time series classification with dual attention network
Mojtaba A. Farahani
Tara Eslaminokandeh
AI4TS
55
0
0
26 Aug 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
60
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
57
9
0
02 Aug 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal
  Classification
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
Rafael Ayllón-Gavilán
David Guijo Rubio
Pedro Antonio Gutiérrez
A. Bagnall
César Hervás-Martinez
85
0
0
16 Jun 2023
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph
  Diffusion Learning
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning
Junru Chen
Yang Yang
Tao Yu
Yingying Fan
Xiaolong Mo
Carl Yang
DiffMMedIm
50
27
0
15 Jun 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable
  Under Manipulation of the Comparate Set
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
Ali Ismail-Fawaz
Angus Dempster
Chang Wei Tan
Matthieu Herrmann
Lynn Miller
...
Stefano Berretti
J. Weber
Maxime Devanne
Germain Forestier
Geoffrey I. Webb
92
18
0
19 May 2023
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
Adrien Petralia
Philippe Charpentier
Paul Boniol
Themis Palpanas
AI4TS
63
13
0
10 May 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
93
9
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 algorithms
Matthew Middlehurst
Patrick Schäfer
A. Bagnall
AI4TS
130
120
0
25 Apr 2023
Privacy-Preserving Electricity Theft Detection based on Blockchain
Privacy-Preserving Electricity Theft Detection based on Blockchain
Zhiqiang Zhao
Yining Liu
Zhixin Zeng
Zhixiong Chen
Huiyu Zhou
22
13
0
25 Feb 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
102
55
0
24 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDLAI4TS
149
107
0
06 Feb 2023
Adaptive Neural Network Ensemble Using Frequency Distribution
Adaptive Neural Network Ensemble Using Frequency Distribution
Ungki Lee
Namwoo Kang
OOD
15
0
0
19 Oct 2022
Explainable classification of astronomical uncertain time series
Explainable classification of astronomical uncertain time series
Michael Franklin Mbouopda
E. Ishida
E. M. Nguifo
E. Gangler
AI4TS
44
0
0
28 Sep 2022
In-situ animal behavior classification using knowledge distillation and
  fixed-point quantization
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Reza Arablouei
Liang Wang
Caitlin E Phillips
L. Currie
Jordan Yates
G. Bishop-Hurley
MQ
54
6
0
09 Sep 2022
ClaSP -- Parameter-free Time Series Segmentation
ClaSP -- Parameter-free Time Series Segmentation
Arik Ermshaus
Patrick Schäfer
Ulf Leser
AI4TS
105
37
0
28 Jul 2022
Advances in Prediction of Readmission Rates Using Long Term Short Term
  Memory Networks on Healthcare Insurance Data
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data
Shuja Khalid
Francisco Matos
A. Abunimer
Joel Bartlett
R. Duszak
M. Horný
J. Gichoya
Imon Banerjee
Hari M. Trivedi
OOD
21
0
0
30 Jun 2022
End-to-End Signal Classification in Signed Cumulative Distribution
  Transform Space
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
A. Rubaiyat
Shiying Li
Xuwang Yin
M. Shifat-E.-Rabbi
Zhuang Yan
Gustavo K. Rohde
69
14
0
30 Apr 2022
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of
  Efficiency within the Confines of the Time Series Classification Task
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
J. Bilski
A. Jastrzębska
AI4TS
56
1
0
28 Apr 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework
  for Multivariate Time Series Classification
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Yijiang Chen
Xiangdong Zhou
Zhen Xing
Zhidan Liu
Minyang Xu
AI4TSSSL
55
5
0
08 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
60
0
0
25 Feb 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
77
18
0
28 Jan 2022
An Efficient Federated Distillation Learning System for Multi-task Time
  Series Classification
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
93
109
0
30 Dec 2021
Animal Behavior Classification via Accelerometry Data and Recurrent
  Neural Networks
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks
Liang Wang
Reza Arablouei
F. Alvarenga
G. Bishop-Hurley
42
2
0
24 Nov 2021
Mimic: An adaptive algorithm for multivariate time series classification
Mimic: An adaptive algorithm for multivariate time series classification
Yuhui Wang
D. Cook
AI4TS
23
0
0
08 Nov 2021
12
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