2018 article

An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS (ICDM 2018), pp. 104–118.

By: R. Yang, J. He*, M. Xu, H. Ni, P. Jones & N. Samatova

Sources: Web Of Science, ORCID
Added: June 17, 2019

2018 book

Mining aspect-specific opinions from online reviews using a latent embedding structured topic model

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 195–210).

By: M. Xu, R. Yang, P. Jones & N. Samatova

Sources: NC State University Libraries, ORCID
Added: January 28, 2019

2017 conference paper

A Lifelong Learning Topic Model Structured Using Latent Embeddings

Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017, 260–261.

By: M. Xu, R. Yang, S. Harenberg & N. Samatova

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 book

An intelligent weighted fuzzy time series model based on a sine-cosine adaptive human learning optimization algorithm and its application to financial markets forecasting

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 595–607).

By: R. Yang, M. Xu, J. He*, S. Ranshous n & N. Samatova

Sources: NC State University Libraries, ORCID
Added: November 26, 2018