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Explainable Multivariate Time Series Classification: A Deep Neural
  Network Which Learns To Attend To Important Variables As Well As Informative
  Time Intervals

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals

23 November 2020
Tsung-Yu Hsieh
Suhang Wang
Yiwei Sun
Vasant Honavar
    BDL
    AI4TS
    FAtt
ArXivPDFHTML

Papers citing "Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals"

14 / 14 papers shown
Title
An Ontology-Aware Framework for Audio Event Classification
An Ontology-Aware Framework for Audio Event Classification
Yiwei Sun
Shabnam Ghaffarzadegan
18
23
0
27 Jan 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate
  Time Series Forecasting with Missing Values
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng Tang
Huaxiu Yao
Yiwei Sun
Charu C. Aggarwal
P. Mitra
Suhang Wang
AI4TS
50
117
0
22 Nov 2019
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun
Suhang Wang
Tsung-Yu Hsieh
Xianfeng Tang
Vasant Honavar
GAN
24
44
0
20 Aug 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo
Tao R. Lin
Nino Antulov-Fantulin
AI4TS
40
155
0
28 May 2019
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
201
2,668
0
12 Sep 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient
  Monitoring Data
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
38
164
0
23 Jul 2018
A review on distance based time series classification
A review on distance based time series classification
A. Abanda
U. Mori
Jose A. Lozano
AI4TS
28
248
0
12 Jun 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
67
3,922
0
06 Feb 2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions
  from LSTMs
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch
Peter J. Liu
Bin Yu
45
209
0
16 Jan 2018
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
62
3,848
0
10 Apr 2017
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
210
7,361
0
12 Sep 2016
Not Just a Black Box: Learning Important Features Through Propagating
  Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
36
782
0
05 May 2016
Highly comparative feature-based time-series classification
Highly comparative feature-based time-series classification
Ben D. Fulcher
N. Jones
AI4TS
25
313
0
15 Jan 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
133
15,825
0
12 Nov 2013
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