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. 2009.04796
  4. Cited By
XCM: An Explainable Convolutional Neural Network for Multivariate Time
  Series Classification

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

10 September 2020
Kevin Fauvel
Tao R. Lin
Véronique Masson
Elisa Fromont
Alexandre Termier
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification"

3 / 3 papers shown
Title
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham
Olivier Basole Kashongwe
Martin Atzmueller
Tim Romer
41
0
0
25 Apr 2025
Evaluating the Explainable AI Method Grad-CAM for Breath Classification
  on Newborn Time Series Data
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data
Camelia Oprea
Mike Grüne
Mateusz Buglowski
Lena Olivier
Thorsten Orlikowsky
Stefan Kowalewski
M. Schoberer
André Stollenwerk
AI4TS
26
0
0
13 May 2024
An Evaluation of Machine Learning and Deep Learning Models for Drought
  Prediction using Weather Data
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data
Weiwei Jiang
Jiayun Luo
19
16
0
06 Jul 2021
1