Muhammad Tanveer
According to our database^{1},
Muhammad Tanveer
authored at least 21 papers
between 2011 and 2019.
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Bibliography
2019
General twin support vector machine with pinball loss function.
Inf. Sci., 2019
KOC+: Kernel ridge regression based oneclass 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 Knearest 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 energybased 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 bilateralweighted fuzzy support vector machine classifiers.
IJAIP, 2012
2011
Remarks on some recent metrical common fixed point theorems.
Appl. Math. Lett., 2011