MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

16 December 2020

Papers citing "MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification"

50 / 107 papers shown

Title
IdentiARAT: Toward Automated Identification of Individual ARAT Items from Wearable Sensors Daniel Homm Patrick Carqueville Christian Eichhorn Thomas Weikert Thomas Menard David A. Plecher Chris Awai Easthope 17 0 0 17 Apr 2025
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data Maxmilian Forstenhäusler Daniel Külzer Christos Anagnostopoulos S. P. Parambath Natascha Weber AI4TS MedIm 40 0 0 14 Apr 2025
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification Yunrui Zhang Gustavo Batista S. Kanhere 60 0 0 26 Mar 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis Wenwei Gu Renyi Zhong Jianping Zhang Michael R. Lyu AAML 38 0 0 25 Mar 2025
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches Mohammad Moulaeifard Loic Coquelin Mantas Rinkevičius Andrius Sološenko Oskar Pfeffer ... Vaidotas Marozas Andrew Thompson Philip Aston Peter H. Charlton Nils Strodthoff OOD 74 0 0 27 Feb 2025
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 31 0 0 24 Feb 2025
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis J. Marco-Blanco Rubén Cuevas AI4TS 43 0 0 24 Feb 2025
Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series Aurélien Renault A. Bondu Antoine Cornuéjols Vincent Lemaire 49 0 0 10 Feb 2025
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Muhammad Umair Danish Mathumitha Sureshkumar Thanuri Fonseka Umeshika Uthayakumar Vinura Galwaduge 39 0 0 13 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 77 0 0 21 Dec 2024
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering Christopher Holder Anthony J. Bagnall 68 0 0 26 Nov 2024
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models Yufei Guo Mingyue Cheng Qingyang Mao Qi Liu F. Xu Xin Li LMTD AI4TS 84 1 0 24 Nov 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification Xiaoyu Tao Tingyue Pan Mingyue Cheng Yucong Luo AI4TS 28 1 0 24 Oct 2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Rikuto Kotoge Zheng Chen Tasuku Kimura Yasuko Matsubara Takufumi Yanagisawa H. Kishima Yasushi Sakurai OOD SSL 29 1 0 15 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 39 3 0 07 Oct 2024
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification Jesus Barreda Ashley Gomez Ruben Puga Kaixiong Zhou Li Zhang AI4TS 23 0 0 15 Sep 2024
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
Brant-X: A Unified Physiological Signal Alignment Framework Daoze Zhang Zhizhang Yuan Junru Chen Kerui Chen Yang Yang 33 7 0 28 Aug 2024
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring Oshana Dissanayake Lucile Riaboff Sarah McPherson Emer Kennedy Pádraig Cunningham 29 0 0 23 Aug 2024
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification Oshana Dissanayake Sarah McPherson Joseph Allyndree Emer Kennedy Padraig Cunningham Lucile Riaboff 21 2 0 20 Aug 2024
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks Xiaosheng Li Wenjie Xi Jessica Lin AI4TS 18 2 0 15 Aug 2024
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis Adria Solana Erik Fransén Gonzalo Uribarri 30 2 0 05 Aug 2024
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 46 1 0 31 Jul 2024
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis Alireza Keshavarzian S. Valaee 22 0 0 22 Jul 2024
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification D. Serramazza Thach le Nguyen Georgiana Ifrim 27 2 0 18 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 66 1 0 06 Jun 2024
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification Xuan-May Le Ling Luo Uwe Aickelin Minh-Tuan Tran 33 8 0 23 May 2024
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models Oshana Dissanayake Sarah McPherson Joseph Allyndree Emer Kennedy Padraig Cunningham Lucile Riaboff 19 2 0 28 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 39 7 0 22 Apr 2024
Castor: Competing shapelets for fast and accurate time series classification Isak Samsten Zed Lee AI4TS 24 0 0 19 Mar 2024
Advancing Time Series Classification with Multimodal Language Modeling Mingyue Cheng Yiheng Chen Qi Liu Zhiding Liu Yucong Luo AI4TS 40 11 0 19 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 39 12 0 03 Mar 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification Tue Cao N.H. Tran Hieu H. Pham Hung T. Nguyen Le P. Nguyen 45 0 0 21 Feb 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series Zhichen Lai Huan Li Dalin Zhang Yan Zhao Weizhu Qian Christian S. Jensen AI4TS 32 9 0 21 Feb 2024
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
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification Joscha Diehl Richard Krieg AI4TS 25 4 0 24 Nov 2023
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
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 35 0 0 24 Nov 2023
Exploring Best Practices for ECG Pre-Processing in Machine Learning Amir Salimi Sunil Vasu Kalmady Abram Hindle Osmar Zaiane Padma Kaul 29 3 0 02 Nov 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting YeXin Huang AI4TS 30 0 0 22 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 25 18 0 18 Oct 2023
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain Junru Zhang Lang Feng Yang He Yuhan Wu Yabo Dong AI4TS 35 4 0 09 Oct 2023
T-Rep: Representation Learning for Time Series using Time-Embeddings Archibald Fraikin Adrien Bennetot S. Allassonnière AI4TS 23 11 0 06 Oct 2023
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
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 26 2 0 15 Sep 2023
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone Ijazul Haq Byung Suk Lee Donna M. Rizzo J. Perdrial AI4TS 50 5 0 14 Sep 2023
Evaluating Explanation Methods for Multivariate Time Series Classification D. Serramazza Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim FAtt AI4TS 14 2 0 29 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 37 115 0 16 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 28 15 0 04 Aug 2023
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