Muhammad Tanveer

According to our database1, Muhammad Tanveer authored at least 21 papers between 2011 and 2019.

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

Timeline

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PhD thesis 
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Bibliography

2019
General twin support vector machine with pinball loss function.
Inf. Sci., 2019

KOC+: Kernel ridge regression based one-class classification using privileged information.
Inf. Sci., 2019

Sparse pinball twin support vector machines.
Appl. Soft Comput., 2019

2018
EEG signal classification using universum support vector machine.
Expert Syst. Appl., 2018

A robust fuzzy least squares twin support vector machine for class imbalance learning.
Appl. Soft Comput., 2018

Improved universum twin support vector machine.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A regularization on Lagrangian twin support vector regression.
Int. J. Machine Learning & Cybernetics, 2017

2016
An efficient regularized K-nearest neighbor based weighted twin support vector regression.
Knowl.-Based Syst., 2016

One norm linear programming support vector regression.
Neurocomputing, 2016

An efficient implicit regularized Lagrangian twin support vector regression.
Appl. Intell., 2016

Robust energy-based least squares twin support vector machines.
Appl. Intell., 2016

2015
Newton method for implicit Lagrangian twin support vector machines.
Int. J. Machine Learning & Cybernetics, 2015

Application of smoothing techniques for linear programming twin support vector machines.
Knowl. Inf. Syst., 2015

Robust and Sparse Linear Programming Twin Support Vector Machines.
Cognitive Computation, 2015

2014
Note on some recent fixed point theorems in fuzzy metric spaces.
Journal of Intelligent and Fuzzy Systems, 2014

2013
On Lagrangian twin support vector regression.
Neural Computing and Applications, 2013

Smooth Newton method for implicit Lagrangian twin support vector regression.
KES Journal, 2013

2012
On proximal bilateral-weighted fuzzy support vector machine classifiers.
IJAIP, 2012

2011
Remarks on some recent metrical common fixed point theorems.
Appl. Math. Lett., 2011


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