TY - GEN
T1 - Adversarial Regularization for Explainable-by-Design Time Series Classification
AU - Wang, Yichang
AU - Emonet, Remi
AU - Fromont, Elisa
AU - Malinowski, Simon
AU - Tavenard, Romain
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to this representation. This shapelet-based classification is both accurate and explainable since the shapelets are time series themselves and thus can be visualized and be provided as a classification explanation. In this paper, we claim that not all shapelets are good visual explanations and we propose a simple, yet also accurate, adversarily regularized EXplainable Convolutional Neural Network, XCNN, that can learn shapelets that are, by design, suited for explanations. We validate our method on the usual univariate time series benchmarks of the UCR repository.
AB - Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to this representation. This shapelet-based classification is both accurate and explainable since the shapelets are time series themselves and thus can be visualized and be provided as a classification explanation. In this paper, we claim that not all shapelets are good visual explanations and we propose a simple, yet also accurate, adversarily regularized EXplainable Convolutional Neural Network, XCNN, that can learn shapelets that are, by design, suited for explanations. We validate our method on the usual univariate time series benchmarks of the UCR repository.
KW - Adversarial Networks
KW - Convolutional Neural Networks
KW - Explainable AI
KW - Shapelets
KW - Time Series
UR - https://www.scopus.com/pages/publications/85098770277
U2 - 10.1109/ICTAI50040.2020.00165
DO - 10.1109/ICTAI50040.2020.00165
M3 - Conference contribution
AN - SCOPUS:85098770277
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 1079
EP - 1087
BT - Proceedings - IEEE 32nd International Conference on Tools with Artificial Intelligence, ICTAI 2020
A2 - Alamaniotis, Miltos
A2 - Pan, Shimei
PB - IEEE Computer Society
T2 - 32nd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2020
Y2 - 9 November 2020 through 11 November 2020
ER -