#### INDIAN INSTITUTE OF TECHNOLOGY INDORE

- Comprehensive Review on Twin SVM, ACM COMPUTING SURVEYS

[SCI Indexed with Impact Factor: 6.13] - A reduced universum twin support vector machine for class imbalance learning, Pattern Recognition, Elsevier

[SCI Indexed with Impact Factor: 5.89] - Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data, Neural Networks, Elsevier.

[SCI Indexed with Impact Factor: 5.78] - A Semantic Collaboration Method Based on Uniform Knowledge Graph, IEEE Internet of Things Journal

[SCI Indexed with Impact Factor: 9.51] - Least squares projection twin support vector clustering (LSPTSVC), Information Sciences, Elsevier.

[SCI Indexed with Impact Factor: 5.52] - Least squares K-nearest neighbor-based weighted multi-class twin SVM, Neurocomputing, Elsevier.

[SCI Indexed with Impact Factor: 4.072] - Diagnosis of Alzheimer's disease using universum support vector machine based recursive featureelimination (USVM-RFE), Biomedical Signal Processing Control, Elsevier.

[SCI Indexed with Impact Factor: 2.94] - LSTSVM classifier with enhanced features from pre-trained functional link network, Applied Soft Computing, Elsevier.

[SCI Indexed with Impact Factor: 4.87] - Kernel ridge regression-based auto-encoder for one-class classification using privileged information, Cognitive Computation, Springer.

[SCI Indexed with Impact Factor: 4.28] - Multiobjective Genetic Algorithm and Non-Dominated Sorting Based Rank Assignment Method for Optimal Knowledge Set Generation A Classification Rule Mining System, Swarm and Evolutionary Computation, Elsevier

[SCI Indexed with Impact Factor: 6.33] - A novel method for the classification of Alzheimer's disease from normal controls using MRI images, Expert Systems, Wiley.

[SCI Indexed with Impact Factor: 1.50] - A novel approach for classification of mental tasks using multiview ensemble learning (MEL), Neurocomputing, Elsevier.

[SCI Indexed with Impact Factor: 4.07]

- 2019
- Q Li, Z Cao, M Tanveer, HM Pandey, C Wang (2019). An effective reliability evaluation method for power communication network based on community structure, IEEE Transactions on Industry Applications

[SCI Indexed with Impact Factor: 3.34] - M.A. Ganaie, M. Tanveer, P.N. Suganthan (2019). Oblique decision tree ensemble via twin bounded SVM, Expert Systems with Applications, Elsevier.

[SCI Indexed with Impact Factor: 4.29] - M Khan, T Hussain, M Tanveer, G Sannino, V Albuquerque (2019). Cost-Effective Video Summarization using Deep CNN with Hierarchical Weighted Fusion for IoT Surveillance Networks, IEEE Internet of Things Journal.

[SCI Indexed with Impact Factor: 9.51] - L Fang, Y Li, X Yun, Z Wen, S Ji, W Meng, Z Cao, M Tanveer (2019). THP: An SDN-based authentication scheme resistant to multiple attacks in IoT, IEEE Internet of Things Journal.

[SCI Indexed with Impact Factor: 9.51] - C. Gautam, A. Tiwari, M. Tanveer (2019). KOC+: Kernel ridge regression-based one-class classification using privileged information, Information Sciences, Elsevier.

[SCI Indexed with Impact Factor: 5.52] - M. Tanveer, B. Richhariya, R.U. Khan, A.H. Rashid, M. Prasad, P. Khanna, C.T. Lin (2019). Machine learning techniques for the diagnosis of Alzheimer's disease: A review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).

[SCI Indexed with Impact Factor: 2.87] - M. Tanveer, A. Sharma, P.N. Suganthan (2019). General twin support vector machine with pinball loss function, Information Sciences, Elsevier.

[SCI Indexed with Impact Factor: 5.52] - M. Tanveer, S. Sharma, R. Rastogi, P. Anand (2019). Sparse support vector machine with pinball loss, Wiley Transactions on Emerging Telecommunications Technologies.

[SCI Indexed with Impact Factor: 1.25] - M. Tanveer, C. Gautam, P.N. Suganthan (2019). Comprehensive evaluation of twin SVM based classifiers on UCI datasets, Applied Soft Computing, Elsevier.

[SCI Indexed with Impact Factor: 4.87] - M. Tanveer, A. Tiwari, R. Choudhary, S. Jalan (2019). Sparse pinball twin support vector machines, Applied Soft Computing, Elsevier.

[SCI Indexed with Impact Factor: 4.87] - E.J. Cheng, K.P. Chou, S. Rajora, B.H. Jin, M. Tanveer, C.T. Lin, K.Y. Young, W.C. Lin, M. Prasad (2019). Deep sparse representation classifier for facial recognition and detection system, Pattern Recognition Letters, Elsevier.

[SCI Indexed with Impact Factor: 2.81] - B. Richhariya, M. Tanveer (2019) A fuzzy universum support vector machine based on information entropy. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
- M. Dalal, M. Tanveer, R.B. Pachori (2019) Automated identification system for focal EEG signals using fractal dimension of FAWT-based sub-bands signals. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
- M. Tanveer, T. Rajani, M.A. Ganaie (2019). Improved sparse pinball twin SVM, IEEE SMC 2019, Oct. 06-09, 2019, Bari, Italy.
- Z. Cao, M. Prasad,M. Tanveer, C.T. Lin (2019). Tensor Decomposition for EEG Signals Retrieval, IEEE SMC 2019, Oct. 06-09, 2019, Bari, Italy.
- 2018
- B. Richhariya, M. Tanveer (2018), A robust fuzzy least squares twin support vector machine for class imbalance learning. Applied Soft Computing, Elsevier, 71:418-432.

[SCI Indexed with Impact Factor: 4.87] - B. Richhariya, M. Tanveer (2018), EEG signal classification using universum support vector machine. Expert Systems with Applications, Elsevier, 106: 169-182.

[SCI Indexed with Impact Factor: 4.29] - S. Gupta, K.H. Krishna, R.B. Pachori, M. Tanveer (2018), Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. International Joint Conferences on Neural Network (IJCNN), July 08-13, 2018, Rio, Brazil [Core Rank: A].
- D. Badarinath, C. Siddu, N. Bharill, M. Tanveer, M. Prasad, A. Appaji, S. Vinekar and A. Ningappa (2018), Study of clinical staging and classification of retinal images for Retinopathy of Prematurity (ROP) screening, International Joint Conferences on Neural Network (IJCNN), July 08-13, 2018, Rio, Brazil [Core Rank: A].
- B. Richhariya, A. Sharma, M. Tanveer (2018), Improved universum twin support vector machines, 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE SSCI 2018), Nov. 2018
- M. Tanveer, R.B. Pachori, N.V. Angami (2018), Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals, 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE SSCI 2018), Nov. 2018
- M. Tanveer, A Gupta, D. Kumar, S. Priyadarshini, A. Chakraborti, R. Mallipeddi (2018), Cognitive task classification using fuzzy based empirical wavelet transform, IEEE International Conference on Systems, Man & Cybernetics (IEEE SMC2018), Oct. 2018, Japan.
- M. Tanveer, R.B. Pachori, N.V. Angami (2018), Classification of seizure and seizure-free EEG signals using Hjorth parameters, 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE SSCI 2018), Nov. 2018
- 2017
- 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: 3.84]- 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.
- 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: 0.695] - M. Tanveer (2017). Linear programming twin support vector regression, Filomat, USA 31(7): 2123-2142 (Sole author).

[SCI Indexed with Impact Factor: 0.695] - 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: 4.072] - 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: 2.88] - 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: 5.10] - 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: 2.88] - 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: 4.28] - 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: 2.39] - 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: 3.84] - 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: 1.63] - 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: 4.66] - 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: 3.48] - 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: 0.583] - 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: 3.06]