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A review on distance based time series classification

A review on distance based time series classification

12 June 2018
A. Abanda
U. Mori
Jose A. Lozano
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A review on distance based time series classification"

50 / 51 papers shown
Title
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
Machine learning-based classification for Single Photon Space Debris
  Light Curves
Machine learning-based classification for Single Photon Space Debris Light Curves
Nadine M. Trummer
Amit Reza
Michael A. Steindorfer
Christiane Helling
89
0
0
27 Nov 2024
Causal and Local Correlations Based Network for Multivariate Time Series
  Classification
Causal and Local Correlations Based Network for Multivariate Time Series Classification
Mingsen Du
Yanxuan Wei
Xiangwei Zheng
Cun Ji
CMLAI4TS
117
1
0
27 Nov 2024
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
Christopher Holder
Anthony J. Bagnall
123
0
0
26 Nov 2024
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
Jiangming Wang
Mingyue Cheng
Qingyang Mao
Qi Liu
F. Xu
Xin Li
LMTDAI4TS
128
0
0
24 Nov 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
Classification and regression of trajectories rendered as images via 2D
  Convolutional Neural Networks
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks
Mariaclaudia Nicolai
Raffaella Fiamma Cabini
Diego Ulisse Pizzagalli
36
0
0
27 Sep 2024
SPINEX-TimeSeries: Similarity-based Predictions with Explainable
  Neighbors Exploration for Time Series and Forecasting Problems
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
Ahmed Z Naser
M. Z. Naser
AI4TS
52
3
0
04 Aug 2024
Towards Detecting IoT Event Spoofing Attacks Using Time-Series
  Classification
Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification
Uzma Maroof
Gustavo Batista
Arash Shaghaghi
Sanjay Jha
31
0
0
29 Jul 2024
LETS-C: Leveraging Text Embedding for Time Series Classification
LETS-C: Leveraging Text Embedding for Time Series Classification
Rachneet Kaur
Zhen Zeng
T. Balch
Manuela Veloso
AI4TS
73
0
0
09 Jul 2024
Persistent homology of featured time series data and its applications
Persistent homology of featured time series data and its applications
Eunwoo Heo
Jae-Hun Jung
54
0
0
08 May 2024
Fast Gradient Computation for Gromov-Wasserstein Distance
Fast Gradient Computation for Gromov-Wasserstein Distance
Wei Zhang
Zihao Wang
Jie Fan
Hao Wu
Yong Zhang
OT
84
1
0
13 Apr 2024
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
Tommaso Puccetti
Andrea Ceccarelli
13
0
0
14 Feb 2024
Intelligent Mode-switching Framework for Teleoperation
Intelligent Mode-switching Framework for Teleoperation
Burak Kizilkaya
Changyang She
G. Zhao
Muhammad Ali Imran
23
1
0
08 Feb 2024
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
79
18
0
03 Aug 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Yuxuan Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
229
115
0
16 Jun 2023
New bootstrap tests for categorical time series. A comparative study
New bootstrap tests for categorical time series. A comparative study
Ángel López-Oriona
José Antonio Vilar Fernández
P. D’Urso
CML
14
0
0
30 Apr 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
FedST: Secure Federated Shapelet Transformation for Time Series
  Classification
FedST: Secure Federated Shapelet Transformation for Time Series Classification
Zhiyu Liang
Hongzhi Wang
AI4TS
65
4
0
21 Feb 2023
Embedding Functional Data: Multidimensional Scaling and Manifold
  Learning
Embedding Functional Data: Multidimensional Scaling and Manifold Learning
E. Arias-Castro
Wanli Qiao
77
0
0
30 Aug 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
BDLAI4TS
58
2
0
25 Jul 2022
Geodesic Properties of a Generalized Wasserstein Embedding for Time
  Series Analysis
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis
Shiying Li
A. Rubaiyat
Gustavo K. Rohde
AI4TS
54
2
0
04 Jun 2022
A Review and Evaluation of Elastic Distance Functions for Time Series
  Clustering
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
Christopher Holder
Matthew Middlehurst
A. Bagnall
AI4TS
79
41
0
30 May 2022
Classification ensembles for multivariate functional data with
  application to mouse movements in web surveys
Classification ensembles for multivariate functional data with application to mouse movements in web surveys
Amanda Fernández-Fontelo
Felix Henninger
Pascal J. Kieslich
Frauke Kreuter
S. Greven
14
1
0
26 May 2022
A walk through of time series analysis on quantum computers
A walk through of time series analysis on quantum computers
Ammar Daskin
47
5
0
02 May 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
Enhancing Transformer Efficiency for Multivariate Time Series
  Classification
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang
Yun Zhao
Linda R. Petzold
AI4TS
55
2
0
28 Mar 2022
Forecasting the abnormal events at well drilling with machine learning
Forecasting the abnormal events at well drilling with machine learning
E. Gurina
Nikita Klyuchnikov
Ksenia Antipova
D. Koroteev
MedImAI4CE
98
17
0
10 Mar 2022
A Review of Open Source Software Tools for Time Series Analysis
A Review of Open Source Software Tools for Time Series Analysis
Yunus Parvej Faniband
I. Ishak
S. M. Sait
AI4TS
73
6
0
10 Mar 2022
Early Time-Series Classification Algorithms: An Empirical Comparison
Early Time-Series Classification Algorithms: An Empirical Comparison
C. Akasiadis
E. Kladis
Evangelos Michelioudakis
E. Alevizos
A. Artikis
AI4TS
48
4
0
03 Mar 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous
  Time Event Sequences
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta
Srikanta J. Bedathur
A. De
AI4TS
53
13
0
17 Feb 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
AI4TS
99
24
0
05 Jan 2022
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang
M. Zeman
Theodoros Tsiligkaridis
Marinka Zitnik
MLAUAI4TS
109
113
0
11 Oct 2021
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time
  Series Classification
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
Dominik Alfke
Miriam Gondos
Lucile Peroche
Martin Stoll
AI4TS
91
2
0
16 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
F. Torabi
Garrett A. Warnell
Yufei Xu
89
5
0
31 Mar 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CMLAI4TS
113
110
0
11 Feb 2021
Explainable Multivariate Time Series Classification: A Deep Neural
  Network Which Learns To Attend To Important Variables As Well As Informative
  Time Intervals
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh
Suhang Wang
Yiwei Sun
Vasant Honavar
BDLAI4TSFAtt
29
9
0
23 Nov 2020
A Formally Robust Time Series Distance Metric
A Formally Robust Time Series Distance Metric
M. Toller
Bernhard C. Geiger
Roman Kern
AI4TS
20
2
0
18 Aug 2020
Can we Estimate Truck Accident Risk from Telemetric Data using Machine
  Learning?
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
Antonio Hebert
Ian Marineau
Gilles Gervais
Tristan Glatard
Brigitte Jaumard
52
2
0
17 Jul 2020
Kernels for time series with irregularly-spaced multivariate
  observations
Kernels for time series with irregularly-spaced multivariate observations
Ahmed Guecioueur
Franz J. Király
BDLAI4TS
15
2
0
18 Apr 2020
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series
S. Elsworth
S. Güttel
AI4TS
63
31
0
27 Mar 2020
A tale of two toolkits, report the second: bake off redux. Chapter 1.
  dictionary based classifiers
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
A. Bagnall
J. Large
Matthew Middlehurst
AI4TS
49
1
0
27 Nov 2019
Minimal Learning Machine: Theoretical Results and Clustering-Based
  Reference Point Selection
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
J. Hämäläinen
Alisson S. C. Alencar
T. Kärkkäinen
C. L. C. Mattos
A. H. S. Júnior
Joao P. P. Gomes
62
17
0
22 Sep 2019
sktime: A Unified Interface for Machine Learning with Time Series
sktime: A Unified Interface for Machine Learning with Time Series
M. Löning
A. Bagnall
S. Ganesh
V. Kazakov
Jason Lines
Franz J. Király
SyDaAI4TS
72
233
0
17 Sep 2019
GENDIS: GENetic DIscovery of Shapelets
GENDIS: GENetic DIscovery of Shapelets
Gilles Vandewiele
F. Ongenae
F. Turck
AI4TS
50
12
0
13 Sep 2019
A tale of two toolkits, report the first: benchmarking time series
  classification algorithms for correctness and efficiency
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
A. Bagnall
Franz J. Király
M. Löning
Matthew Middlehurst
George Oastler
AI4TS
76
6
0
12 Sep 2019
Comprehensive Process Drift Detection with Visual Analytics
Comprehensive Process Drift Detection with Visual Analytics
Anton Yeshchenko
Claudio Di Ciccio
Jan Mendling
Artem Polyvyanyy
AI4TS
57
46
0
15 Jul 2019
Making the Dynamic Time Warping Distance Warping-Invariant
Making the Dynamic Time Warping Distance Warping-Invariant
Brijnesh J. Jain
64
12
0
04 Mar 2019
Comparing Temporal Graphs Using Dynamic Time Warping
Comparing Temporal Graphs Using Dynamic Time Warping
Vincent Froese
Brijnesh J. Jain
R. Niedermeier
Malte Renken
57
6
0
15 Oct 2018
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time
  Warping
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping
Brijnesh J. Jain
38
4
0
07 Sep 2018
12
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