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. M. Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin (2023). Deep Learning for Brain Age Estimation: A Systematic Review, Information Fusion, Elsevier.
    [SCI Indexed with Impact Factor: 17.56]
  2. M. Tanveer, M.A. Ganaie, A. Bhattacharjee, C.T. Lin (2022). Intuitionistic fuzzy weighted least squares twin SVMs, IEEE Transactions on Cybernetics.
    [SCI Indexed with Impact Factor: 19.12]

    (Received Institute Best Research Paper Award 2023)

  3. M.A. Ganaie, M. Tanveer, CT Lin (2022). Large scale fuzzy least squares twin SVMs for class imbalance learning, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.25]
  4. A.K. Malik, M.A. Ganaie, M. Tanveer, P.N. Suganthan (2022). Extended features based random vector functional link network for classification problem, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with with Impact Factor: 4.74]
  5. R. Sharma, T. Goel, M. Tanveer, C.T. Lin, R. Murugan (2023). Deep learning based diagnosis and prognosis of Alzheimer's disease: A comprehensive review, IEEE Transactions on Cognitive and Developmental Systems.
    [SCI Indexed with Impact Factor: 4.54]
  6. M.A. Ganaie, M. Tanveer, P.N. Suganthan, V. Snasel (2022). Oblique and rotation double random forest, Neural Networks, Elsevier.
    [SCI Indexed with Impact Factor: 9.65]
  7. M.A. Ganaie, M. Tanveer (2022). Ensemble deep random vector functional link network using privileged information for Alzheimer's disease diagnosis, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
    [SCI Indexed with Impact Factor: 3.70]
  8. M. Tanveer, J. Jangir, M.A. Ganaie , I. Beheshti , M. Tabish, N. Chhabra (2022). Diagnosis of Schizophrenia: 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: 7.02]
  9. M.A. Ganaie, M. Tanveer, I. Beheshti (2022). Brain age prediction with improved least squares TSVR, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  10. M. Tanveer, T. Rajani, Y.H. Shao, M.A. Ganaie (2022). Comprehensive Review on twin support vector machines, Annals of Operations Research, Springer.
    [SCI Indexed with Impact Factor: 4.82]
  11. M.A. Ganaie, M. Tanveer (2022). KNN weighted reduced universum twin SVM for class imbalance learning, Knowledge-Based Systems, Elsevier.
    [SCI Indexed with Impact Factor: 8.13]
  12. A.H. Rashid, A. Gupta, J. Gupta (2022). Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  13. A.K. Malik, M.A. Ganaie, M. Tanveer, P.N. Suganthan (2022). Alzheimer's disease diagnosis via intuitionisticfuzzy random vector functional link network, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with Impact Factor: 4.74]
  14. B. Cao, J. Zhao, X. Liu, J. Arabas, M. Tanveer, A.K. Singh, Z. Lv (2021). Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network with Gene Expression Programming, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.25]
  15. 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: 3.49]
  16. 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: 5.41]
  17. M. Tanveer, M. Tabish and Jatin Jangir (2021). Sparse Pinball Twin Bounded Support Vector Clustering, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with Impact Factor: 4.74]
  18. 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: 12.25]
  19. 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: 4.82]
  20. 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: 7.02]
  21. 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: 14.32]
  22. 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: 7.02]
  23. 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: 7.02]

    (Received Institute Best Undergraduate Researcher Award 2021)

  24. 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: 8.52]
  25. 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: 8.18]
  26. 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: 4.09]

    (Received Institute Best Undergraduate Researcher Award 2021)

  27. 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: 8.18]
  28. 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: 4.09]
  29. M. Tanveer, S. Sharma, K. Muhammad (2020). Large scale least squares twin SVMs, ACM Transactions on Internet Technology.
    [SCI Indexed with Impact Factor: 3.98]
  30. 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: 4.09]
  31. 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: 8.23]
  32. 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: 10.26]
  33. 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: 4.09]
  34. 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: 3.98]
  35. 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: 3.98]
  36. 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: 9.65]
  37. 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: 8.52]
  38. 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: 10.24]
  39. 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]
  40. 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: 10.24]
  41. 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: 10.24]
  42. 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]
  43. 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]
  44. 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]
  45. 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]

    (Received Institute Best Undergraduate Researcher Award 2019)

  46. 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]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]