M. Tanveer, K. Shubham (2017). A regularization on Lagrangian twin support vector regression, International Journal of Machine Learning and Cybernetics, Springer, USA 8(3): 807-821.
[SCI Indexed with Impact Factor: 4.012]
M. Tanveer, K. Shubham (2017). Smooth twin support vector machines via unconstrained convex minimization, Filomat, USA 31(8): 2195-2210.
[SCI Indexed with Impact Factor: 0.84]
M. Tanveer (2017). Linear programming twin support vector regression, Filomat, USA 31(7): 2123-2142 (Sole author).
[SCI Indexed with Impact Factor: 0.84]
2016
M. Tanveer, I. Ahmad, M. Mangal, Y.H. Shao (2016). One norm linear programming support vector regression, Neurocomputing, Elsevier, Netherlands 173: 1508-1518.
[SCI Indexed with Impact Factor: 5.72]
M. Tanveer, M.A. Khan, S.S. Ho (2016). Robust energy-based least squares twin support vector machines, Applied Intelligence, Springer, Netherlands 45(1): 174-186.
[SCI Indexed with Impact Factor: 5.08]
M. Tanveer, K. Shubham, M. Aldhaifallah, S.S. Ho (2016). An efficient regularized knn-based weighted twin support vector regression, Knowledge-Based Systems, Elsevier, Netherlands 94: 70-87.
[SCI Indexed with Impact Factor: 8.04]
M. Tanveer, K. Shubham, M. Al-Dhafallah, K.S. Nisar (2016). An efficient implicit regularized Lagrangian twin support vector machines, Applied Intelligence, Springer, Netherlands 44(4): 831-848.
[SCI Indexed with Impact Factor: 5.08]
2015
M. Tanveer (2015). Robust and sparse linear programming twin support vector machines, Cognitive Computation, Springer, USA 7: 137-149 (Sole author).
[SCI Indexed with Impact Factor: 5.42]
M. Tanveer (2015). Application of smoothing techniques for linear programming twin support vector machines, Knowledge and Information Systems, Springer, USA 45(1): 191-214 (Sole author).
[SCI Indexed with Impact Factor: 2.82]
M. Tanveer (2015). Newton method for implicit Lagrangian twin support vector machines, Journal of Machine Learning and Cybernetics, Springer, USA 6:1029-1040 (Sole author).
[SCI Indexed with Impact Factor: 4.012]
2014
M. Tanveer (2014). Note on some recent fixed point theorems in fuzzy metric spaces, Journal of Intelligent & Fuzzy Systems, IOS Press, USA 26: 811-814 (Sole author).
[SCI Indexed with Impact Factor: 1.85]
2013
S. Balasundaram, M. Tanveer (2013). On Lagrangian twin support vector regression, Neural Computing & Applications, Springer, UK 22(1): 257-267.
[SCI Indexed with Impact Factor: 5.60]
S. Balasundaram, M. Tanveer (2013). Smooth Newton method for implicit Lagrangian twin support vector regression, KES, IOP Press, 17(4), 267-278.
2012
M. Tanveer, M. Imdad, D. Gopal, D.K. Patel (2012). Common fixed point theorems in modified intuitionistic fuzzy metric spaces with common property (E.A), Fixed Point Theory & Applications, SpringerOpen, USA 2012: 36.
[SCI Indexed with Impact Factor: 2.5]
S. Balasundaram, M. Tanveer (2012). On proximal bilateral-weighted fuzzy support vector machine classifiers, IJAIP, USA 4 (3/4), 199-210.
2011
M. Imdad, J. Ali, M. Tanveer (2011). Remarks on some recent metrical common fixed point theorems, Applied Mathematics Letters, Elsevier, UK 24(7): 1165-1169.
[SCI Indexed with Impact Factor: 4.05]
J. Ali, M. Imdad, D. Mihet, M. Tanveer (2011). Common fixed points of strict contractions in Menger spaces, Acta Math. Hungarica, Springer, Hungary 132(4): 367-386.
[SCI Indexed with Impact Factor: 0.62]
2010
M. Imdad, M. Tanveer, M. Hasan (2010). Some common fixed point theorems in Menger spaces, Fixed Point Theory & Applications, Springer Open, USA 2010: 14 Pages. (Corresponding author).
[SCI Indexed with Impact Factor: 2.5]
2009
M. Imdad, J. Ali, M. Tanveer (2009). Coincidence and Common fixed point theorems for nonlinear contractions in Menger PM Spaces, Chaos, Solitons and Fractals, Elsevier, England 42: 3121-3129.
[SCI Indexed with Impact Factor: 5.94]
