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.
CONFERENCE PAPERS
    2021
  1. M. Tanveer, M. Tabish, J. Jangir (2021). Pinball Twin Bounded Support Vector Clustering, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'21).
  2. M.A. Ganaie, M. Tanveer and P.N. Suganthan (2021). Co-Trained Random Vector Functional Link Network, International Joint Conferences on Neural Network (IJCNN), July 18-22, 2021, China [Core Rank: A].
  3. Ashraf Rashid, Imran Razzak, Mohammad Tanveer and Antonio Robles-kelly RipDet (2021). A Fastand Lightweight Deep Neural Network for Rip Currents Detection, International Joint Conferences on Neural Network (IJCNN), July 18-22, 2021, China [Core Rank: A].
  4. Ashwani Kumar Malik, M.A. Ganaie, M. Tanveer and P.N. Suganthan (2021). A Novel Ensemble Method of RVFL For Classification Problem, International Joint Conferences on Neural Network (IJCNN), July 18-22, 2021, China [Core Rank: A]
    2020
  5. Minghui Hu, Qiushi Shi, P.N. Suganthan, M. Tanveer (2020). Adaptive Ensemble Variants of Random Vector Functional Link Networks, 27th International Conference on Neural Information Processing (ICONIP 2020) (Core Rank A).
  6. M.A. Ganaie, M. Tanveer, P.N. Suganthan (2020). Minimum Variance Embedded Random Vector Functional Link Network, 27th International Conference on Neural Information Processing (ICONIP 2020) (Core Rank A).
  7. A.H. Rashid, I. Razzak, M. Tanveer (2020). RipNet: A lightweight one-class deep neural network for the identification of RIP currents, 27th International Conference on Neural Information Processing (ICONIP 2020) (Core Rank A).
  8. M.A. Ganaie, M. Tanveer and P.N. Suganthan (2020). Regularized robust fuzzy least squares twin support vector machine for class imbalance learning, WCCI (IJCNN) 2020 (Core Rank A).
  9. Bharat Richhariya and M. Tanveer (2020). Universum least squares twin parametric-margin support vector machine, WCCI (IJCNN) 2020 (Core Rank A).

  10. 2019
  11. M. Tanveer, T. Rajani, M.A. Ganaie (2019). Improved sparse pinball twin SVM, IEEE SMC 2019, Oct. 06-09, 2019, Bari, Italy (Core Rank B).
  12. 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 (Core Rank B).

  13. 2018
  14. 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].
  15. 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].
  16. 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
  17. 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
  18. 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 (Core Rank B).
  19. 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