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2007.13156
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Benchmarking Multivariate Time Series Classification Algorithms
Data mining and knowledge discovery (DMKD), 2020
26 July 2020
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
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Papers citing
"Benchmarking Multivariate Time Series Classification Algorithms"
50 / 123 papers shown
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Simone Silvetti
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AI4TS
125
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06 Nov 2025
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
Andreas Auer
D. Klotz
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Sepp Hochreiter
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201
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30 Oct 2025
BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification
J. Zhang
Yi Liu
Qi Shen
Changhong Wang
229
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29 Sep 2025
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
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Rémi Flamary
Vladimir Kostic
Karim Lounici
130
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29 Sep 2025
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
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Onat Gungor
T. Rosing
Baris Aksanli
AAML
AI4TS
208
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0
26 Aug 2025
Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics
Irene Ferfoglia
Simone Silvetti
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L. Nenzi
Luca Bortolussi
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170
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Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
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Andreas Kassler
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236
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Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
Steven C. Hespeler
Pablo Moriano
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Samuel C. Hollifield
201
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Kirsty Scott
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193
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CRITS: Convolutional Rectifier for Interpretable Time Series Classification
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Zed Lee
Guilherme Dinis Chaliane Junior
Tony Lindgren
Diego García Pérez
AI4TS
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191
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24 May 2025
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
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Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
479
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Decentralized Time Series Classification with ROCKET Features
Bruno Casella
Matthias Jakobs
Marco Aldinucci
Sebastian Buschjäger
AI4TS
297
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Interval-Valued Time Series Classification Using
D
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D_K
D
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Wan Tian
Zhongfeng Qin
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323
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Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
M. Takamoto
Daniel Oñoro-Rubio
Wiem Ben-Rim
Takashi Maruyama
Bhushan Kotnis
392
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MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
Dawid Płudowski
Francesco Spinnato
Piotr Wilczyñski
Krzysztof Kotowski
Evridiki Vasileia Ntagiou
Riccardo Guidotti
P. Biecek
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299
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Yuanlong Wu
Mingxing Nie
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
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353
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10 Mar 2025
SMT(LIA) Sampling with High Diversity
Yong Lai
Junjie Li
Chuan Luo
416
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MONSTER: Monash Scalable Time Series Evaluation Repository
Angus Dempster
Navid Mohammadi Foumani
Chang Wei Tan
Lynn Miller
Amish Mishra
Mahsa Salehi
Charlotte Pelletier
Daniel F. Schmidt
G. Webb
AI4TS
362
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Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
Aurélien Renault
A. Bondu
Antoine Cornuéjols
Vincent Lemaire
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A User's Guide to
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Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Neural Information Processing Systems (NeurIPS), 2024
Yunshi Wen
Tengfei Ma
Tsui-Wei Weng
Lam M. Nguyen
A. Julius
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343
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08 Jan 2025
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
282
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21 Dec 2024
Causal and Local Correlations Based Network for Multivariate Time Series Classification
Mingsen Du
Yanxuan Wei
Xiangwei Zheng
Cun Ji
CML
AI4TS
273
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27 Nov 2024
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
Tong Xu
X. Li
AI4TS
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538
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24 Nov 2024
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
BigData Congress [Services Society] (BSS), 2024
Onur Vural
S. M. Hamdi
S. F. Boubrahimi
AI4TS
237
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DipMe: Haptic Recognition of Granular Media for Tangible Interactive Applications
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Shanghang Zhang
Ziyi Zhao
Lifeng Zhu
Aiguo Song
140
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Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
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Aosong Feng
Rex Ying
Leandros Tassiulas
316
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28 Oct 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
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Tingyue Pan
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Yucong Luo
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540
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StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
International Conference on Information and Knowledge Management (CIKM), 2024
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Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
428
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14 Oct 2024
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
International Conference on Machine Learning and Applications (ICMLA), 2024
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S. M. Hamdi
S. F. Boubrahimi
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216
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Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks
Mariaclaudia Nicolai
Raffaella Fiamma Cabini
Diego Ulisse Pizzagalli
138
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COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
International Conference on Information and Knowledge Management (CIKM), 2024
Jesus Barreda
Ashley Gomez
Ruben Puga
Kaixiong Zhou
Li Zhang
AI4TS
256
3
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15 Sep 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan
Shahbaz Rezaei
Xin Liu
BDL
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279
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Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
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Malik Shahid Sultan
H. Ombao
BDL
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215
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Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
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Erik Fransén
Gonzalo Uribarri
205
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Parameter inference from a non-stationary unknown process
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Ben D. Fulcher
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Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
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Joachim Denzler
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Data Augmentation for Multivariate Time Series Classification: An Experimental Study
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Thai V. Hoang
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ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
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TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
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Peijie Qiu
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Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
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Clémence Réda
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Saptarshi Bej
Olaf Wolkenhauer
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Quang Pham
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Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
323
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ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
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Randy C. Paffenroth
Ken T. Ngo
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135
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Ganesh Del Grosso
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453
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