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1909.04939
Cited By
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
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Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
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Dynamic Sparse Network for Time Series Classification: Learning What to "see''
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POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
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Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
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Deep Learning Architectures for FSCV, a Comparison
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Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
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An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions
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Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
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A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
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Travis J. Desell
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Improving Accuracy and Explainability of Online Handwriting Recognition
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Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
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Hieu H. Pham
Huy Le
A. Nguyen
Ngo Tien Thanh
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Information We Can Extract About a User From Óne Minute Mobile Application Usage'
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LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
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dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
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19
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Transfer learning for time series classification using synthetic data generation
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Rethinking Attention Mechanism in Time Series Classification
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Xinhan Wang
Fuhong Song
Zhiwen Xiao
AI4TS
33
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Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
Azusa Sawada
Taiki Miyagawa
Akinori F. Ebihara
S. Yachida
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16
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08 Jul 2022
Semi-unsupervised Learning for Time Series Classification
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M. Steininger
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07 Jul 2022
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
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Ard Kastrati
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17 Jun 2022
Predicting Hate Intensity of Twitter Conversation Threads
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Vittorio Fra
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Shavika Rastogi
Gianvito Urgese
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Chiara Bartolozzi
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COSTI: a New Classifier for Sequences of Temporal Intervals
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A. Jastrzębska
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23
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28 Apr 2022
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
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A. Jastrzębska
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13
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28 Apr 2022
Satellite Image Time Series Analysis for Big Earth Observation Data
R. Simões
G. Câmara
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24 Apr 2022
Efficient Architecture Search for Diverse Tasks
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Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey
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4
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13 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
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Lucas Heublein
Bernd Bischl
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OOD
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Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
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Tampered VAE for Improved Satellite Image Time Series Classification
Xin Cai
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14
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Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang
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Linda R. Petzold
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16
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HYDRA: Competing convolutional kernels for fast and accurate time series classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
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Identifying the root cause of cable network problems with machine learning
G. Heiler
Thassilo Gadermaier
Thomas Haider
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09 Mar 2022
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
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Yuanhao Yu
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S. Valaee
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31
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Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
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HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
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13
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TimeREISE: Time-series Randomized Evolving Input Sample Explanation
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Andreas Dengel
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Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
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Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting
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The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
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21
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