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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"

11 / 11 papers shown
Title
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Yi Han
AAML
25
0
0
04 May 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
39
7
0
31 Mar 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
36
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
41
1
0
18 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
28
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
26
0
0
31 Dec 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
37
0
0
08 Oct 2024
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
21
0
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
19
0
0
02 Sep 2024
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
33
0
0
23 May 2023
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
121
601
0
05 Mar 2017
1