Yanping Lv

Affiliations:
  • Xiamen University, Department of Cognitive Science
  • University of Sherbrooke, Department of Computer Science


According to our database1, Yanping Lv authored at least 12 papers between 2006 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Chinese Character CAPTCHA Recognition and performance estimation via deep neural network.
Neurocomputing, 2018

Multi-modality weakly labeled sentiment learning based on Explicit Emotion Signal for Chinese microblog.
Neurocomputing, 2018

2016
Chinese character CAPTCHA recognition based on convolution neural network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Rumor diffusion purpose analysis from social attribute to social content.
Proceedings of the 2015 International Conference on Asian Language Processing, 2015

Minimum Information Quantity Partition based fast semantic feature subset selection.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
ECG codebook model for Myocardial Infarction detection.
Proceedings of the 10th International Conference on Natural Computation, 2014

2012
ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection.
IEEE Trans. Biomed. Eng., 2012

2011
Particle swarm optimizer for variable weighting in clustering high-dimensional data.
Mach. Learn., 2011

2010
Remote Sensing Image Enhancement Based on Orthogonal Wavelet Transformation Analysis and Pseudo-color Processing.
Int. J. Comput. Intell. Syst., 2010

2009
Text Clustering via Particle Swarm Optimization.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

2006
Particle Swarm Optimization Based on Information Diffusion and Clonal Selection.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Improved Genetic Algorithm for Multiple Sequence Alignment Using Segment Profiles (GASP).
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006


  Loading...