Fetching the paper…
Reading the bibliography…
Multivariate time series classification is a high value and well-known problem in machine learning community.
Gradient-based learning applied to document recognition
LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P · 1998
Earlier work this paper cites.
A symbolic representation of time series, with implications for streaming algorithms
Lin, J., Keogh, E., Lonardi, S., and Chiu, B · 2003
Earlier work this paper cites.
Time series forecasting using a hybrid arima and neural network model
Zhang, G. P · 2003
Earlier work this paper cites.
A probabilistic interpretation of precision, recall and f-score, with implication for evaluation
Goutte, C. and Gaussier, E · 2005
Earlier work this paper cites.
Joint segmentation of multivariate astronomical time series: Bayesian sampling with a hierarchical model
Dobigeon, N., Tourneret, J.-Y., and Scargle, J. D · 2007
Earlier work this paper cites.
A multivariate time series approach to modeling and forecasting demand in the emergency department
Jones, S. S., Evans, R. S., Allen, T. L., Thomas, A., Haug, P. J., Welch, S. J., and Snow, G. L · 2009
Earlier work this paper cites.
Activity recognition using cell phone accelerometers
Kwapisz, J. R., Weiss, G. M., and Moore, S. A · 2011
Earlier work this paper cites.
Design considerations for the wisdm smart phone-based sensor mining architecture
Lockhart, J. W., Weiss, G. M., Xue, J. C., Gallagher, S. T., Grosner, A. B., and Pulickal, T. T · 2011
Earlier work this paper cites.
Investigation of financial market prediction by recurrent neural network
Maknickienė, N., Rutkauskas, A. V., and Maknickas, A · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
Earlier work this paper cites.
Deeppose: Human pose estimation via deep neural networks
Toshev, A. and Szegedy, C · 2014
Cited alongside, same era.
Human activity recognition using wearable sensors by deep convolutional neural networks
Jiang, W. and Yin, Z · 2015
Cited alongside, same era.
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification
Pérez-D’Arpino, C. and Shah, J. A · 2015
Cited alongside, same era.
Wavenet: A generative model for raw audio
Van Den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A. W., and Kavukcuoglu, K · 2016
Cited alongside, same era.
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
Zheng, Y., Liu, Q., Chen, E., Ge, Y., and Zhao, J. L · 2016
Cited alongside, same era.
Model-free prediction of noisy chaotic time series by deep learning
Yeo, K · 2017
Later among the works it cites.
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Chambon, S., Galtier, M. N., Arnal, P. J., Wainrib, G., and Gramfort, A · 2018
Later among the works it cites.
Recurrent neural networks for multivariate time series with missing values
Che, Z., Purushotham, S., Cho, K., Sontag, D., and Liu, Y · 2018
Later among the works it cites.
Multivariate time series prediction of lane changing behavior using deep neural network
Gao, J., Murphey, Y. L., and Zhu, H · 2018
Later among the works it cites.
Real-time human activity recognition from accelerometer data using convolutional neural networks
Ignatov, A · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Borovykh, A., Bohte, S., and Oosterlee, C. W · 2017
Cited alongside, same era.
Deep learning for time-series analysis
Gamboa, J. C. B · 2017
Cited alongside, same era.
A convolutional neural network for fault classification and diagnosis in semiconductor manufacturing processes
Lee, K. B., Cheon, S., and Kim, C. O · 2017
Cited alongside, same era.
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
Ravi, D., Wong, C., Lo, B., and Yang, G.-Z · 2017
Cited alongside, same era.
Saad, F. A. and Mansinghka, V. K · 2017
Cited alongside, same era.
Forecasting of multivariate time series via complex fuzzy logic
Yazdanbakhsh, O. and Dick, S · 2017
Cited alongside, same era.
Orozco, B. P., Abbati, G., and Roberts, S · 2018
Later among the works it cites.
Recent trends in deep learning based natural language processing
Young, T., Hazarika, D., Poria, S., and Cambria, E · 2018
Later among the works it cites.
Multivariate Time Series Analysis in Climate and Environmental Research
Zhang, Z., Zhang, and Khelifi · 2018
Later among the works it cites.
Deep learning for time series classification: a review
Fawaz, H. I., Forestier, G., Weber, J., Idoumghar, L., and Muller, P.-A · 2019
Closest in time.
Time series classification with multivariate convolutional neural network
Liu, C.-L., Hsaio, W.-H., and Tu, Y.-C · 2019
Closest in time.