OPTImization for MAchine Learning (OPTIMAL) Research Group
INDIAN INSTITUTE OF TECHNOLOGY INDORE
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OPTImization for MAchine Learning (OPTIMAL)
Research Group
Please see GitHub respository for codes.
IIT Indore Affiliation Other than IIT Indore Affiliation

SELECTED PAPERS
  1. S. Dwivedi, T. Goel, M. Tanveer, R. Murugan, R Sharma (2021). Multi-modal fusion based deep learning network for effective diagnosis of Alzheimer's disease, IEEE Multimedia.
    [SCI Indexed with Impact Factor: 5.63]
  2. M. Tanveer, A. Tiwari, R. Choudhary, M.A. Ganaie (2021). Large-Scale Pinball Twin Support Vector Machines, Machine Learning, Springer (accepted).
    [SCI Indexed with Impact Factor: 2.94]
  3. M. Tanveer, M. Tabish and Jatin Jangir (2021). Sparse Pinball Twin Bounded Support Vector Clustering, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with Cite Score: 6.1]
  4. Ye Shi, L. Zhang, Z. Cao, M. Tanveer, Chin-Teng Lin (2021). Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.029]
  5. A. Qayyum, I. Razzak, M. Tanveer, A. Kumar (2021). Depth-Wise Multilevel Convolutional Neural Network for Automatic COVID19 Infection Detection, Annals of Operations Research, Springer.
    [SCI Indexed with Impact Factor: 4.85]
  6. M. Tanveer, A. Rashid, M.A. Ganaie, M. Reza, I. Razzak, K.L. Hua (2021). Classification of Alzheimer’s disease using ensemble of deep neural networks trained through transfer learning, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 5.77]
  7. M Khan, MS Obaidat, T Hussain, J Del Ser, N Kumar, M Tanveer, F Doctor (2021). Fuzzy Logic in Surveillance Big Video Data: Comprehensive Review, Challenges and Research Directions, ACM Computing Surveys.
    [SCI Indexed with Impact Factor: 10.28]
  8. Iman Beheshti, M.A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, M. Tanveer (2021). Predicting brain age using machine learning algorithms: A comprehensive evaluation, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 5.77]
  9. M. Tanveer, Tarun Gupta, Miten Shah, Bharat Richhariya (2021). Sparse Twin Support Vector Clustering using Pinball Loss, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 5.77]
  10. Q Shi, R Katuwal, PN Suganthan, M Tanveer (2021). Random Vector Functional Link Neural Network based Ensemble Deep Learning, Pattern Recognition, Elsevier.
    [SCI Indexed with Impact Factor: 7.74]
  11. J.J. Virtusio, J.J.M. Ople, D.S. Tan,M. Tanveer, N. Kumar, Kai-Lung Hua (2021). Neural Style Palette: a multimodal and interactive style transfer from a single style image, IEEE Transactions on Multimedia.
    [SCI Indexed with Impact Factor: 6.51]
  12. M. Tanveer, Tarun Gupta, Miten Shah (2020). Pinball Loss Twin Support Vector Clustering, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
    [SCI Indexed with Impact Factor: 3.14]
  13. J.J. Virtusio, D.S. Tan, W.H. Cheng, M. Tanveer, and K.L. Hua (2020). Enabling Artistic Control Over Pattern Density and Stroke Strength, IEEE Transactions on Multimedia.
    [SCI Indexed with Impact Factor: 6.51]
  14. L. Fang, C. Yin, J. Zhu, C. Ge, M. Tanveer, A. Jolfaei, Z. Cao (2020). Privacy Protection for Medical Data Sharing in Smart Healthcare, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(3s), doi = 10.1145/3408322.
    [SCI Indexed with Impact Factor: 3.14]
  15. M. Tanveer, S. Sharma, K. Muhammad (2020). Large scale least squares twin SVMs, ACM Transactions on Internet Technology.
    [SCI Indexed with Impact Factor: 3.13]
  16. M. Tanveer, B. Richhariya, R.U. Khan, A.H. Rashid, M. Prasad, P. Khanna, C.T. Lin (2020). Machine learning techniques for the diagnosis of Alzheimer's disease: A review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(1s): 1-35.
    [SCI Indexed with Impact Factor: 3.14]
  17. Bharat Richhariya and M. Tanveer (2020). Least squares projection twin support vector clustering (LSPTSVC), Information Sciences, Elsevier, 533, 1-23.
    [SCI Indexed with Impact Factor: 6.79]
  18. B. Cao, S. Fan, J. Zhao, P. Yang, K. Muhammad, M. Tanveer (2020). Quantum-enhanced multiobjective large-Scale optimization via parallelism, Swarm and Evolutionary Computation, Elsevier, 57, 100697.
    [SCI Indexed with Impact Factor: 7.17]
  19. M. Tanveer, P. Khanna, M. Prasad, C.T. Lin (2020). Introduction to the Special Issue on Computational Intelligence for Biomedical Data and Imaging, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16 (1s): 1-4.
    [SCI Indexed with Impact Factor: 3.14]
  20. B. Richhariya, M. Tanveer (2020). An efficient angle based universum least squares twin support vector machine for pattern classification, ACM Transactions on Internet Technology (TOIT), https://doi.org/10.1145/3387131.
    [SCI Indexed with Impact Factor: 3.13]
  21. Z. Yue, S. Ding, L. Zhao, Y. Zhang, Z. Cao, M. Tanveer, A. Jolfaei, X.Zheng (2020). Privacy-preserving time series medical images analysis using a hybrid deep learning frame-work, ACM Transactions on Internet Technology (TOIT), https://doi.org/10.1145/3383779.
    [SCI Indexed with Impact Factor: 3.13]
  22. C. Gautam, P.K. Mishra, A. Tiwari, B. Richhariya, H.M. Pandey, S. Wang, M. Tanveer (2020). Minimum variance-embedded deep kernel regularized least square method for one-class classification and its applications to biomedical data, Neural Networks, Elsevier, 123: 191-216.
    [SCI Indexed with Impact Factor: 8.05]
  23. B. Richhariya, M. Tanveer (2020). A reduced universum twin support vector machine for class imbalance learning, Pattern Recognition, Elsevier, 102, 107150.
    [SCI Indexed with Impact Factor: 7.74]
  24. Qi Li, Z. Cao, M. Tanveer, H.M. Pandey, C. Wang (2020). A semantic collaboration method based on uniform knowledge graph, IEEE Internet of Things Journal, 7(5): 4473-4484.
    [SCI Indexed with Impact Factor: 9.47]
  25. Q Li, Z Cao, M Tanveer, HM Pandey, C Wang (2020). An effective reliability evaluation method for power communication network based on community structure, IEEE Transactions on Industry Applications, 56(4): 4489-4500.
    [SCI Indexed with Impact Factor: 3.65]
  26. M Khan, T Hussain, M Tanveer, G Sannino, V Albuquerque (2020). Cost-Effective Video Summarization using Deep CNN with Hierarchical Weighted Fusion for IoT Surveillance Networks, IEEE Internet of Things Journal, 7(5): 4455-4463.
    [SCI Indexed with Impact Factor: 9.47]
  27. L Fang, Y Li, X Yun, Z Wen, S Ji, W Meng, Z Cao, M Tanveer (2020). THP: An SDN-based authentication scheme resistant to multiple attacks in IoT, IEEE Internet of Things Journal, 7(7): 5745-5759.
    [SCI Indexed with Impact Factor: 9.47]
  28. C. Gautam, A. Tiwari, M. Tanveer (2019). KOC+: Kernel ridge regression-based one-class classification using privileged information, Information Sciences, Elsevier, 504: 324-333.
    [SCI Indexed with Impact Factor: 6.79]
  29. M. Tanveer, A. Sharma, P.N. Suganthan (2019). General twin support vector machine with pinball loss function, Information Sciences, Elsevier, 494: 311-327.
    [SCI Indexed with Impact Factor: 6.79]
  30. M. Tanveer, C. Gautam, P.N. Suganthan (2019). Comprehensive evaluation of twin SVM based classifiers on UCI datasets, Applied Soft Computing, Elsevier, 83: 105617.
    [SCI Indexed with Impact Factor: 6.72]
  31. M. Tanveer, A. Tiwari, R. Choudhary, S. Jalan (2019). Sparse pinball twin support vector machines, Applied Soft Computing, Elsevier, 78: 164-175.
    [SCI Indexed with Impact Factor: 6.72]
  32. 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: 6.72]
  33. 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: 6.95]
  34. 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]
  35. 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]
  36. 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: 8.03]
  37. 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]
  38. 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]