Shuo Li

Affiliations:
  • University of Texas at Arlington, Department of Computer Science and Engineering, USA


According to our database1, Shuo Li authored at least 11 papers between 2010 and 2015.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Probabilistic partial least squares regression for quantitative analysis of Raman spectra.
Int. J. Data Min. Bioinform., 2015

2014
Models and Methods for Quantitative Analysis of Surface-Enhanced Raman Spectra.
IEEE J. Biomed. Health Informatics, 2014

2013
Eigenspectra, a robust regression method for multiplexed Raman spectra analysis.
Int. J. Data Min. Bioinform., 2013

A Fast Multi-component Latent Variable Regression Framework for Quantitative Analysis of Surface-Enhanced Raman Spectra.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A New Continuum Regression Method for Quantitative Analysis of Raman Spectrum.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

CWT-PLSR for quantitative analysis of Raman spectrum.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Subcellular particles tracking in time-lapse confocal microscopy images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Probabilistic Partial Least Square Regression: A Robust Model for Quantitative Analysis of Raman Spectroscopy Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Eigenspectra, a robust regression method for multiplexed Raman spectra analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010


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