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InceptionTime: Finding AlexNet for Time Series Classification

InceptionTime: Finding AlexNet for Time Series Classification

11 September 2019
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
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Papers citing "InceptionTime: Finding AlexNet for Time Series Classification"

50 / 253 papers shown
Title
Implet: A Post-hoc Subsequence Explainer for Time Series Models
Implet: A Post-hoc Subsequence Explainer for Time Series Models
Fanyu Meng
Ziwen Kan
Shahbaz Rezaei
Z. Kong
Xin Chen
Xin Liu
AI4TS
24
0
0
13 May 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu
Yicheng Luo
B. Li
Emadeldeen Eldele
Min-man Wu
Qianli Ma
AI4TS
29
0
0
11 May 2025
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Yi Han
AAML
40
0
0
04 May 2025
Decentralized Time Series Classification with ROCKET Features
Decentralized Time Series Classification with ROCKET Features
Bruno Casella
Matthias Jakobs
Marco Aldinucci
Sebastian Buschjäger
AI4TS
32
0
0
24 Apr 2025
Contrastive Learning for Continuous Touch-Based Authentication
Contrastive Learning for Continuous Touch-Based Authentication
Mengyu Qiao
Yunpeng Zhai
Yang Wang
AAML
37
0
0
24 Apr 2025
Towards Simple Machine Learning Baselines for GNSS RFI Detection
Towards Simple Machine Learning Baselines for GNSS RFI Detection
Viktor Ivanov
Richard C. Wilson
Maurizio Scaramuzza
AAML
29
0
0
08 Apr 2025
Concept Extraction for Time Series with ECLAD-ts
Concept Extraction for Time Series with ECLAD-ts
Antonia Holzapfel
Andres Felipe Posada-Moreno
Sebastian Trimpe
AI4TS
21
0
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
39
0
0
04 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
N. Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
49
7
0
31 Mar 2025
Exploring Reliable PPG Authentication on Smartwatches in Daily Scenarios
Exploring Reliable PPG Authentication on Smartwatches in Daily Scenarios
J. Tang
Jiacheng Liu
Renling Tong
Kai Zhu
Zhe Li
Xin Yi
Junliang Xing
Yuanchun Shi
Y. Wang
131
0
0
31 Mar 2025
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
Dawid Płudowski
Francesco Spinnato
Piotr Wilczyñski
Krzysztof Kotowski
Evridiki Vasileia Ntagiou
Riccardo Guidotti
P. Biecek
AI4TS
45
0
0
28 Mar 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Wenwei Gu
Renyi Zhong
Jianping Zhang
Michael R. Lyu
AAML
33
0
0
25 Mar 2025
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
Josef Koumar
Timotej Smoleň
Kamil Jeřábek
T. Čejka
AI4TS
52
0
0
20 Mar 2025
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
Lucas Bickmann
Lucas Plagwitz
Antonius Büscher
Lars Eckardt
Julian Varghese
46
0
0
17 Mar 2025
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks
Cagla Ipek Kocal
Onat Gungor
Aaron Tartz
T. Rosing
Baris Aksanli
AAML
59
0
0
10 Mar 2025
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
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
P. Aston
Peter H. Charlton
Nils Strodthoff
OOD
72
0
0
27 Feb 2025
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Mohammad Moulaeifard
Peter H. Charlton
Nils Strodthoff
OOD
69
1
0
26 Feb 2025
SMT(LIA) Sampling with High Diversity
Yong Lai
Junjie Li
Chuan Luo
49
0
0
25 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
X. Zhang
J. Liu
AI4TS
68
0
0
24 Feb 2025
MONSTER: Monash Scalable Time Series Evaluation Repository
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
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Gregor Baer
Isel Grau
Chao Zhang
Pieter Van Gorp
AAML
48
0
0
24 Feb 2025
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
kkk-Graph: A Graph Embedding for Interpretable Time Series Clustering
Paul Boniol
Donato Tiano
Angela Bonifati
Themis Palpanas
AI4TS
61
1
0
18 Feb 2025
Breast Lump Detection and Localization with a Tactile Glove Using Deep Learning
Togzhan Syrymova
Amir Yelenov
Karina Burunchina
Nazgul Abulkhanova
H. A. Varol
Juan Antonio Corrales Ramon
Zhanat Kappassov
39
0
0
15 Feb 2025
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging
R. Weber
O. Freifeld
AI4TS
64
0
0
10 Feb 2025
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models
Huayu Li
Xiwen Chen
C. Zhang
S. Quan
William D.S. Killgore
Shu-Fen Wung
Chen X. Chen
Geng Yuan
Jin Lu
Ao Li
40
0
0
28 Jan 2025
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
Sarwan Ali
Tamkanat E. Ali
I. Khan
Murray Patterson
AI4TS
42
0
0
31 Dec 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
J. Wang
Mingyue Cheng
Qingyang Mao
Qi Liu
F. Xu
Xin Li
LMTD
AI4TS
76
1
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
21
1
0
24 Oct 2024
Leveraging Deep Learning for Time Series Extrinsic Regression in
  predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Lorenzo Monti
Tatiana Muraveva
Gisella Clementini
Alessia Garofalo
33
1
0
23 Oct 2024
Active Learning of Robot Vision Using Adaptive Path Planning
Active Learning of Robot Vision Using Adaptive Path Planning
Julius Ruckin
Federico Magistri
Cyrill Stachniss
Marija Popović
SSL
26
0
0
14 Oct 2024
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time
  Series Classification
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
Xavier Mootoo
Alan A. Díaz-Montiel
Milad Lankarany
Hina Tabassum
AI4TS
30
0
0
08 Oct 2024
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning
Barak Gahtan
Robert J. Shahla
R. Cohen
A. Bronstein
40
0
0
08 Oct 2024
A Functional Extension of Semi-Structured Networks
A Functional Extension of Semi-Structured Networks
David Rügamer
Bernard X. W. Liew
Zainab Altai
Almond Stöcker
26
0
0
07 Oct 2024
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in
  Uncontrolled Environments
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments
Reza Rahimi Azghan
Nicholas C. Glodosky
Ramesh Kumar Sah
Carrie Cuttler
Ryan McLaughlin
M. Cleveland
Hassan Ghasemzadeh
28
2
0
04 Oct 2024
Delving Deep into Engagement Prediction of Short Videos
Delving Deep into Engagement Prediction of Short Videos
Dasong Li
Wenjie Li
Baili Lu
Hongsheng Li
Sizhuo Ma
Gurunandan Krishnan
Jian Wang
19
0
0
30 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
34
1
0
02 Sep 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
Benchmarking Counterfactual Interpretability in Deep Learning Models for
  Time Series Classification
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan
Shahbaz Rezaei
Xin Liu
BDL
AI4TS
32
0
0
22 Aug 2024
Correlation Analysis of Adversarial Attack in Time Series Classification
Correlation Analysis of Adversarial Attack in Time Series Classification
Zhengyang Li
Wenhao Liang
Chang Dong
Weitong Chen
Dong Huang
AAML
39
0
0
21 Aug 2024
A Systematic Evaluation of Generated Time Series and Their Effects in
  Self-Supervised Pretraining
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
Audrey Der
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
...
Vivian Lai
Junpeng Wang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
38
1
0
15 Aug 2024
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and
  Robust Analysis
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
Chang Dong
L. Zheng
Weitong Chen
AI4TS
29
12
0
14 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of
  Missing Values
An End-to-End Model for Time Series Classification In the Presence of Missing Values
Pengshuai Yao
Mengna Liu
Xu Cheng
Fan Shi
Huan Li
Xiufeng Liu
Shengyong Chen
AI4TS
40
0
0
11 Aug 2024
Enhancing Eye-Tracking Performance through Multi-Task Learning
  Transformer
Enhancing Eye-Tracking Performance through Multi-Task Learning Transformer
Weigeng Li
Neng Zhou
Xiaodong Qu
41
15
0
11 Aug 2024
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases
  Classification with Multi-Modal Training and Knowledge Distillation
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation
Ju-Hyeon Nam
Seo-Hyung Park
Su Jung Kim
Sang-Chul Lee
19
0
0
06 Aug 2024
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An
  Improved ROCKET Algorithm for Multivariate Time Series Analysis
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
Exploring Facial Biomarkers for Depression through Temporal Analysis of
  Action Units
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units
Aditya Parikh
Misha Sadeghi
Björn Eskofier
21
2
0
18 Jul 2024
ADAPT: Multimodal Learning for Detecting Physiological Changes under
  Missing Modalities
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
Julie Mordacq
Léo Milecki
Maria Vakalopoulou
Steve Oudot
Vicky Kalogeiton
OffRL
MedIm
37
3
0
04 Jul 2024
Deep Temporal Sequence Classification and Mathematical Modeling for Cell
  Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
T. T. Toma
Yibo Wang
Andreas Gahlmann
Scott T. Acton
27
0
0
27 Jun 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
44
15
0
20 Jun 2024
Improving the Evaluation and Actionability of Explanation Methods for
  Multivariate Time Series Classification
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
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