Missing value imputation in multivariate time series with end-to-end generative adversarial networks

PAN: Pipeline assisted neural networks model for data-to-text generation in social internet of things

(2020) Nan Jiang et al.   INFORMATION SCIENCES

Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification

(2020) Wei Han et al.   INFORMATION SCIENCES

A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting

(2020) Shuai Zhang et al.   INFORMATION SCIENCES

Time-semantic-aware Poisson tensor factorization approach for scalable hotel recommendation

(2019) Shang Liu et al.   INFORMATION SCIENCES

A Generative Model for category text generation

(2018) Yang Li et al.   INFORMATION SCIENCES

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Image captioning by incorporating affective concepts learned from both visual and textual components

(2018) Jufeng Yang et al.   NEUROCOMPUTING

Person recognition based on touch screen gestures using computational intelligence methods

(2017) Krzysztof Rzecki et al.   INFORMATION SCIENCES

Model-coupled autoencoder for time series visualisation

(2016) Nikolaos Gianniotis et al.   NEUROCOMPUTING

Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values

(2015) Pedro J. García-Laencina et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multiple imputation by chained equations: what is it and how does it work?

(2011) Melissa J. Azur et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH