Xianli Pan

Orcid: 0000-0001-5957-0444

According to our database1, Xianli Pan authored at least 17 papers between 2015 and 2022.

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

Timeline

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Bibliography

2022
A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019
Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression.
IEEE Trans. Signal Process., 2019

A Novel and Safe Two-Stage Screening Method for Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., 2019

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines.
Pattern Recognit., 2019

KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification.
Int. J. Mach. Learn. Cybern., 2019

A safe reinforced feature screening strategy for lasso based on feasible solutions.
Inf. Sci., 2019

E-ENDPP: a safe feature selection rule for speeding up Elastic Net.
Appl. Intell., 2019

2018
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Asymmetric ν-twin support vector regression.
Neural Comput. Appl., 2018

Piecewise linear solution path for pinball twin support vector machine.
Knowl. Based Syst., 2018

A safe screening based framework for support vector regression.
Neurocomputing, 2018

2017
A Novel Twin Support-Vector Machine With Pinball Loss.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification.
Knowl. Based Syst., 2016

Two effective sample selection methods for support vector machine.
J. Intell. Fuzzy Syst., 2016

2015
K-nearest neighbor based structural twin support vector machine.
Knowl. Based Syst., 2015

Imbalanced and semi-supervised classification for prognosis of ACLF.
J. Intell. Fuzzy Syst., 2015

Structural least square twin support vector machine for classification.
Appl. Intell., 2015


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