Insights into LSTM Fully Convolutional Networks for Time Series Classification

27 February 2019

Papers citing "Insights into LSTM Fully Convolutional Networks for Time Series Classification"

7 / 7 papers shown

Title
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 40 47 0 24 Feb 2023
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning Sathvik Bhaskarpandit Priyanka Gupta Manik Gupta BDL AI4TS 17 2 0 25 Jul 2022
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery Masoud Jalayer A. Kaboli C. Orsenigo C. Vercellis AI4CE 46 19 0 09 Feb 2022
TSAX is Trending Muhammad Fuad AI4TS 32 1 0 24 Dec 2021
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers Samuel Harford Fazle Karim H. Darabi AI4TS 22 1 0 28 Sep 2021
Fully convolutional networks for structural health monitoring through multivariate time series classification Luca Rosafalco Andrea Manzoni S. Mariani A. Corigliano 11 49 0 12 Feb 2020
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling Seth H. Huang Lingjie Xu Congwei Jiang AI4TS 18 10 0 13 Jan 2020