A. K. Malik, R. Gao, M. A. Ganaie, M. Tanveer, P. N. Suganthan, Random vector functional link network: recent developments, applications, and future directions, Applied Soft Computing (2023) 110377.  doi:https: //doi.org/10.1016/j.asoc.2023.110377.  [I.F=8.7]

A. K. Malik, M. A. Ganaie, M. Tanveer, P. N. Suganthan, Alzheimer's disease diagnosis via intuitionistic fuzzy random vector functional link network, IEEE Transactions on Computational Social Systems (2022). doi:10.1109/TCSS.2022.3146974. [I.F=5]

A. K. Malik, M. Tanveer, Graph embedded ensemble deep randomized network for diagnosis of Alzheimer's disease, IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022). doi:10.1109/TCBB.2022.3202707. [I.F=4.5]

A. K. Malik, M. A. Ganaie, M. Tanveer, P. N. Suganthan, Extended features based random vector functional link network for classification problem, IEEE Transactions on Computational Social Systems (2022). doi:10.1109/TCSS.2022.3187461. [I.F=5]

M. A. Ganaie, M. Hu,  A. K. Malik, M. Tanveer, P. N. Suganthan, Ensemble deep learning: A review, Engineering Applications of Artificial Intelligence 115 (2022) 105151. doi:https://doi.org/10.1016/j.engappai.2022.105151. [I.F=8]

M. Tanveer, A. Rastogi, V. Paliwal, M. A. Ganaie,  A. K. Malik , J. Del Ser, C. T. Lin, Ensemble deep learning in speech signal tasks: a review, Neurocomputing (2023) 126436. doi:https://doi.org/10.1016/j.neucom.2023.126436.   [I.F=6]

 M. A. Ganaie, A. Kumari,  A. K. Malik , M. Tanveer, EEG signal classification using improved intuitionistic fuzzy twin support vector machines, Neural Computing and Applications (2022) 1-17. doi:10.1007/s00521-022-07655-x.   [I.F=6]

 M. A. Ganaie, M. Sajid,  A. K. Malik , M. Tanveer, Graph embedded intuitionistic fuzzy RVFL for class imbalance learning, IEEE Transactions on Neural Networks and Learning Systems.  doi:https://doi.org/10.48550/arXiv.2307.07881.   [Under Revision]

M. Sajid, A. K. Malik, M. Tanveer, Intuitionistic fuzzy broad learning system: Enhancing robustness against noise and outliers, IEEE Transactions on Fuzzy Systems.  doi:https://doi.org/10.48550/arXiv.2307.08713.  [Under Review]

A. K. Malik, M. A. Ganaie, M. Tanveer, P. N. Suganthan, Support vector machine based models with sparse auto-encoder based features for classification problem, in: International Conference on Neural Information Processing, Springer, 2022, pp. 248-259. doi:10.1007/978-3-031-30105-6\_21.

A. K. Malik, M. A. Ganaie, M. Tanveer, Graph embedded intuitionistic fuzzy weighted random vector functional link network, in: 2022 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2022, pp. 293-299. doi:10.1109/SSCI51031.2022.10022212.

 A. K. Malik, M. A. Ganaie, M. Tanveer, P. N. Suganthan, A novel ensemble method of RVFL for classification problem, in: 2021 International Joint Conference on Neural Networks (IJCNN), IEEE, 2021, pp. 1-8. doi:10.1109/IJCNN52387.2021.9533836

M. A. Ganaie, M. Tanveer, A. K. Malik, P. N. Suganthan, Minimum variance embedded random vector functional link network with privileged information, in: 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1-8.  doi:10.1109/IJCNN55064.2022.9891930.

 N. Ahmad, M. A. Ganaie,  A. K. Malik, K. T. Lai, M. Tanveer, Minimum variance embedded intuitionistic fuzzy weighted random vector functional link network, in: International Conference on Neural Information Processing, Springer, 2022, pp. 600-611. doi:10.1007/978-3-031-30105-6\_50.