[][] 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
    2025
  1. Abdul Quadir, M. Sajid, Mushir Akhtar, M Tanveer (2025). Twin Restricted Kernel Machines for Multiview Classification, IJCNN 2025.
  2. M. Tanveer, A. Quadir (2025). Robust Universum Twin Support Vector Machine for Imbalanced Data, IJCNN 2025.
  3. Ritik Mishra, M. Akhtar, M. Tanveer (2025). CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines, IJCNN 2025.
  4. M. Sajid, Mushir Akhtar, Abdul Quadir, M. Tanveer (2025). RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets, IJCNN 2025.
  5. A. Kumari, M. Akhtar, P.N. Suganthan, M. Tanveer (2025). $R^2VFL$: A Robust Random Vector Functional Link Network with Huber-Weighted Framework, IJCNN 2025.
  6. T. Goel, R. Pilli, S. Verma, M. Tanveer, R. Murugan, P.N. Suganthan (2025). l1 Regularization Based Random Vector Functional Link Network for Alzheimer's Disease Diagnosis, IJCNN 2025.
    7. 2024
  7. M. Akhtar, M. Tanveer, M. Arshad (2025). GL-TSVM: A robust and smooth twin support vector machine with guardian loss function, ICPR 2024.
  8. Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer (2024). Brain Age Estimation of Alzheimer’s and Parkinson’s Affected Individuals Using Self-Attention Based Convolutional Neural Network, ICPR 2024.
  9. Babita, KS Akash, M Sajid, DR Nayak, M Tanveer (2024). CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification, ICONIP 2024.
  10. M Akhtar, M Tanveer, M Arshad (2024). Advancing RVFL networks: Robust classification with the HawkEye loss function, ICONIP 2024.
  11. A Quadir, M Sajid, M Tanveer (2024). One Class Restricted Kernel Machines, ICONIP 2024.
  12. M Sajid, A Quadir, M Tanveer (2024). Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function, ICONIP 2024.
  13. Arnav Jain, Jasmer S. Sanjotra, Harshvardhan Choudhary, Krish Agrawal, Rupal Shah, Rohan Jha, MD SAJID, Amir Hussain, M Tanveer (2024). LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement, AVSEC, Interspeech 2024.
  14. A. Kumari, M. Tanveer (2024). Dual Center Based Intuitionistic Fuzzy Plane Based Classifiers, WCCI 2024
    15. 2023
  15. Weighted Kernel Ridge Regression Based Randomized Network for Alzheimer's Disease Diagnosis Using Susceptibility Weighted Images, IJCNN 2023.
    16. 2022
  16. M.A. Ganaie, M. Tanveer, A.K. Malik and P.N. Suganthan (2022). Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information, WCCI 2022 [Core Rank: A].
  17. A.K. Malik, M.A. Ganaie, M. Tanveer (2022). Graph embedded intuitionistic fuzzy weighted random vector functional link network, IEEE SSCI 2022.
  18. R. Gao, PN Suganthan, Q. Zhou, KF Yuen, M. Tanveer (2022). Echo state neural network based ensemble deep learning for short-term load forecasting, IEEE SSCI 2022.
  19. Anuradha Kumari, Mudasir Ahmad Ganaie and M. Tanveer (2022). Intuitionistic fuzzy universum support vector machine, 29th International Conference on Neural Information Processing (ICONIP 2022), Lecture Notes in Computer Science book series.
  20. Ashwani Kumar Malik, Mudasir Ahmad Ganaie, M Tanveer and P.N. Suganthan (2022). Support vector machine based models with sparse auto-encoder based features for classification problem, 29th International Conference on Neural Information Processing (ICONIP 2022), Lecture Notes in Computer Science book series
  21. Nehal Ahmad, Mudasir Ahmad Ganaie, Ashwani Kumar Malik, Kuan-Ting Lai and M Tanveer (2022). Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network, 29th International Conference on Neural Information Processing (ICONIP 2022), Lecture Notes in Computer Science book series.
    22. 2021
  22. M. Tanveer, M. Tabish, J. Jangir (2021). Pinball Twin Bounded Support Vector Clustering, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'21).
  23. 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].
  24. 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].
  25. 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
  26. 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).
  27. 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).
  28. 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).
  29. 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).
  30. Bharat Richhariya and M. Tanveer (2020). Universum least squares twin parametric-margin support vector machine, WCCI (IJCNN) 2020 (Core Rank A).

    31. 2019
  31. 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).
  32. 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).

    33. 2018
  33. 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].
  34. 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].
  35. 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
  36. 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
  37. 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).
  38. 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

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