ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.04939
  4. Cited By
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
ArXivPDFHTML

Papers citing "InceptionTime: Finding AlexNet for Time Series Classification"

50 / 253 papers shown
Title
A Multi-Resolution Mutual Learning Network for Multi-Label ECG
  Classification
A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
Wei Huang
Ning Wang
Panpan Feng
Haiyan Wang
Zongmin Wang
Bing Zhou
19
2
0
12 Jun 2024
Data Augmentation for Multivariate Time Series Classification: An
  Experimental Study
Data Augmentation for Multivariate Time Series Classification: An Experimental Study
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
30
0
0
10 Jun 2024
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data
  and Knowledge Graph
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph
Vid Hanzel
Blaž Bertalanič
Carolina Fortuna
19
1
0
29 May 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
DiffM
AI4TS
CML
29
2
0
24 May 2024
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Edoardo Fazzari
Donato Romano
Fabrizio Falchi
Cesare Stefanini
27
3
0
22 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a
  Time-aware Multiple Instance Learning
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
AI4TS
34
7
0
06 May 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with
  a Adaptive and Effective Kernel Size Configuration
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
Haoxiao Wang
Bo Peng
Jianhua Zhang
Xu Cheng
AI4TS
39
1
0
28 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized
  Models -- Extended Version
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
Reuse out-of-year data to enhance land cover mappingvia feature
  disentanglement and contrastive learning
Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning
C. Dantas
R. Gaetano
Claudia Paris
Dino Ienco
33
0
0
17 Apr 2024
Are EEG Sequences Time Series? EEG Classification with Time Series
  Models and Joint Subject Training
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
Johannes Burchert
Thorben Werner
Vijaya Krishna Yalavarthi
Diego Coello de Portugal
Maximilian Stubbemann
Lars Schmidt-Thieme
19
1
0
10 Apr 2024
Artificial Neural Networks-based Real-time Classification of ENG Signals
  for Implanted Nerve Interfaces
Artificial Neural Networks-based Real-time Classification of ENG Signals for Implanted Nerve Interfaces
Antonio Coviello
Francesco Linsalata
U. Spagnolini
Maurizio Magarini
25
3
0
29 Mar 2024
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT
  Sensor Data
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Muhammad Sakib Khan Inan
Kewen Liao
Haifeng Shen
Prem Prakash Jayaraman
Dimitrios Georgakopoulos
Ming Jian Tang
38
0
0
29 Mar 2024
Multimodal Physical Fitness Monitoring (PFM) Framework Based on
  TimeMAE-PFM in Wearable Scenarios
Multimodal Physical Fitness Monitoring (PFM) Framework Based on TimeMAE-PFM in Wearable Scenarios
Junjie Zhang
Zheming Zhang
Huachen Xiang
Yangquan Tan
Linnan Huo
Fengyi Wang
21
0
0
25 Mar 2024
Castor: Competing shapelets for fast and accurate time series
  classification
Castor: Competing shapelets for fast and accurate time series classification
Isak Samsten
Zed Lee
AI4TS
24
0
0
19 Mar 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly
  Detection
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Daniel Lakey
Tim Schlippe
35
2
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
33
11
0
19 Mar 2024
Time Series Representation Learning with Supervised Contrastive Temporal
  Transformer
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Yuansan Liu
S. Wijewickrema
C. Bester
Stephen O'Leary
James Bailey
AI4TS
28
1
0
16 Mar 2024
Towards Diverse Perspective Learning with Selection over Multiple
  Temporal Poolings
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong
Jungmin Kim
Jaesik Choi
AI4TS
45
1
0
14 Mar 2024
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A
  GRU LSTM Hybrid Approach
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
Ramin Mousa
Mitra Khezli
Mohamadreza Azadi
Vahid Nikoofard
Saba Hesaraki
3DPC
25
1
0
09 Mar 2024
Efficient High-Resolution Time Series Classification via Attention
  Kronecker Decomposition
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng
Jialin Chen
Juan Garza
Brooklyn Berry
Francisco Salazar
Yifeng Gao
Rex Ying
Leandros Tassiulas
35
1
0
07 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Mingyue Cheng
Jiqian Yang
Tingyue Pan
Qi Liu
Zhi Li
AI4TS
33
12
0
03 Mar 2024
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled
  Long-Term HRV
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
Sergio González
Abel Ko-Chun Yi
Wan-Ting Hsieh
Wei-Chao Chen
Chun-Li Wang
V. C. Wu
Shang-Hung Chang
25
3
0
01 Mar 2024
Constraint Latent Space Matters: An Anti-anomalous Waveform
  Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Cheng Bian
Xiaoyu Li
Qi Bi
Guangpu Zhu
Jiegeng Lyu
Weile Zhang
Yelei Li
Zijing Zeng
34
0
0
23 Feb 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries
  Classification
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
Right on Time: Revising Time Series Models by Constraining their
  Explanations
Right on Time: Revising Time Series Models by Constraining their Explanations
Maurice Kraus
David Steinmann
Antonia Wüst
Andre Kokozinski
Kristian Kersting
AI4TS
40
4
0
20 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
21
2
0
31 Jan 2024
ADF & TransApp: A Transformer-Based Framework for Appliance Detection
  Using Smart Meter Consumption Series
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Adrien Petralia
Philippe Charpentier
Themis Palpanas
AI4TS
21
1
0
17 Dec 2023
User Authentication and Identity Inconsistency Detection via
  Mouse-trajectory Similarity Measurement
User Authentication and Identity Inconsistency Detection via Mouse-trajectory Similarity Measurement
Rui Jin
Yong Liao
Pengyuan Zhou
10
1
0
16 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a
  Benchmark
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Hassan Ismail Fawaz
Ganesh Del Grosso
Tanguy Kerdoncuff
Aurélie Boisbunon
Illyyne Saffar
AI4TS
32
2
0
15 Dec 2023
CGS-Mask: Making Time Series Predictions Intuitive for All
CGS-Mask: Making Time Series Predictions Intuitive for All
Feng Lu
Wei Li
Yifei Sun
Cheng Song
Yufei Ren
Albert Y. Zomaya
AI4TS
22
0
0
15 Dec 2023
Self-supervised Machine Learning Based Approach to Orbit Modelling
  Applied to Space Traffic Management
Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management
Emma Stevenson
V. Rodríguez-Fernández
H. Urrutxua
Vincent Morand
David Camacho
SSL
21
3
0
11 Dec 2023
Fast Classification of Large Time Series Datasets
Fast Classification of Large Time Series Datasets
Muhammad Marwan Muhammad Fuad
20
0
0
10 Dec 2023
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical
  Time Series
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series
Hongbo Guo
Xinzi Xu
Hao Wu
Guoxing Wang
AI4TS
21
1
0
06 Dec 2023
STADEE: STAtistics-based DEEp Detection of Machine Generated Text
STADEE: STAtistics-based DEEp Detection of Machine Generated Text
Zheng Chen
Huming Liu
DeLMO
11
4
0
04 Dec 2023
Deep Learning for Time Series Classification of Parkinson's Disease Eye
  Tracking Data
Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
Gonzalo Uribarri
Simon Ekman von Huth
Josefine Waldthaler
Per Svenningsson
Erik Fransén
25
4
0
28 Nov 2023
FRUITS: Feature Extraction Using Iterated Sums for Time Series
  Classification
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification
Joscha Diehl
Richard Krieg
AI4TS
23
4
0
24 Nov 2023
Finding Foundation Models for Time Series Classification with a PreText
  Task
Finding Foundation Models for Time Series Classification with a PreText Task
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
28
5
0
24 Nov 2023
Inherently Interpretable Time Series Classification via Multiple
  Instance Learning
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early
Gavin K. C. Cheung
Kurt Cutajar
Hanting Xie
Jas Kandola
Niall Twomey
AI4TS
25
11
0
16 Nov 2023
IncepSE: Leveraging InceptionTime's performance with Squeeze and
  Excitation mechanism in ECG analysis
IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis
Tue Cao
Nhat Tran
Le Nguyen
Hieu Pham
Hung Nguyen
36
1
0
16 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural
  Ordinary Differential Equations
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations
S. Lim
Jaehyeon Park
Seojin Kim
Hyowon Wi
Haksoo Lim
Jinsung Jeon
Jeongwhan Choi
Noseong Park
AI4TS
AI4CE
21
2
0
08 Nov 2023
Exploring Best Practices for ECG Pre-Processing in Machine Learning
Exploring Best Practices for ECG Pre-Processing in Machine Learning
Amir Salimi
S. Kalmady
Abram Hindle
Osmar Zaiane
Padma Kaul
21
3
0
02 Nov 2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural
  Architecture Search for Time Series Classification on Microcontrollers
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
Tobias King
Yexu Zhou
Tobias Röddiger
Michael Beigl
28
3
0
27 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
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
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series
  Pretraining
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
Chenguo Lin
Xumeng Wen
Wei Cao
Congrui Huang
Jiang Bian
Stephen Lin
Zhirong Wu
AI4TS
36
4
0
11 Oct 2023
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning
  Behavior in Time Series Classification from Frequency Domain
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
27
4
0
09 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
25
18
0
04 Oct 2023
Detach-ROCKET: Sequential feature selection for time series
  classification with random convolutional kernels
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri
Federico Barone
A. Ansuini
Erik Fransén
AI4TS
39
6
0
25 Sep 2023
Early Churn Prediction from Large Scale User-Product Interaction Time
  Series
Early Churn Prediction from Large Scale User-Product Interaction Time Series
S. Bhattacharjee
Utkarsh Thukral
Nilesh Patil
AI4TS
24
1
0
25 Sep 2023
Empirical Study of Mix-based Data Augmentation Methods in Physiological
  Time Series Data
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo
Huiyuan Yang
Akane Sano
AI4TS
11
5
0
18 Sep 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
18
2
0
15 Sep 2023
Previous
123456
Next