He Ni

Orcid: 0000-0001-8054-4523

According to our database1, He Ni authored at least 21 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Translational Motion Compensation Method for ISAR Imaging of Air Maneuvering Weak Targets Based on CV-GRUNet.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Buffered-ranking intervals for virtual profit efficiency analysis.
Central Eur. J. Oper. Res., December, 2023

Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach.
Scientometrics, September, 2023

Contextual combinatorial bandit on portfolio management.
Expert Syst. Appl., July, 2023

Optimal Imaging Time Interval Selection Method for Space Target via Time-Frequency Analysis With Spaceborne ISAR.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Shape-constrained nonparametric estimation of the term structure of interest rates.
J. Intell. Fuzzy Syst., 2022

2017
Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures.
Sensors, 2017

2014
Can venture capital trigger innovation? New evidence from China.
Int. J. Technol. Manag., 2014

2013
Multiple-v support vector regression based on spectral risk measure minimization.
Neurocomputing, 2013

Stock index tracking by Pareto efficient genetic algorithm.
Appl. Soft Comput., 2013

2012
Nonparametric bivariate copula estimation based on shape-restricted support vector regression.
Knowl. Based Syst., 2012

Multivariate convex support vector regression with semidefinite programming.
Knowl. Based Syst., 2012

2010
Consumer credit risk evaluation by logistic regression with self-organizing map.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
A self-organising mixture autoregressive network for FX time series modelling and prediction.
Neurocomputing, 2009

Exchange rate prediction using hybrid neural networks and trading indicators.
Neurocomputing, 2009

Generalized Self-Organizing Mixture Autoregressive Model.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Topology Regressive Distributed Model for Financial Time Series Prediction.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series.
Proceedings of the Artificial Neural Networks, 2009

2008
Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling.
Int. J. Neural Syst., 2008

2007
Time-Series Prediction Using Self-Organising Mixture Autoregressive Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006
Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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