Publication

1. M. Tanveer, R. K. Sharma, M. Sajid, and A. Quadir (2025). “GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning”, in Information Sciences, Elsevier, vol. 704, p. 121947, DOI: https://doi.org/10.1016/j.ins.2025.121947 [SCI Indexed with Impact Factor: 8.1],  [Code Link]

1. M. Sajid, A. Quadir, M. Akhtar, and M. Tanveer (2025). “RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets,” in International Joint Conference on Neural Networks (IJCNN) 2025. [Core Rank B Conference]

2. A. Quadir, M. Sajid, M, Akhtar, and M. Tanveer (2025). “Twin Restricted Kernel Machines for Multiview Classification,” in International Joint Conference on Neural Networks (IJCNN) 2025. [Core Rank B Conference]

1. M. Sajid, M. Tanveer and P. N. Suganthan (2024). Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System, IEEE Transactions on Fuzzy Systems, vol. 33, no. 1, pp. 479 - 490, DOI: https://doi.org/10.1109/TFUZZ.2024.3411614, [SCI Indexed with Impact Factor: 10.7], [Code Link]

2. M. A. Ganaie*, M. Sajid*, A. K. Malik and M. Tanveer (2024). Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, pp. 11671–11680, DOI: https://doi.org/10.1109/TNNLS.2024.3353531 [SCI Indexed with Impact Factor: 10.2], [Code Link]

*M. Sajid and M. A. Ganaie contributed equally to this work 

3. M. Sajid, A. K. Malik, M. Tanveer and P. N. Suganthan (2024). Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems, IEEE Transactions on Fuzzy Systems, vol. 32, no. 5, pp. 2738- 2749, DOI: https://doi.org/10.1109/TFUZZ.2024.3359652 [SCI Indexed with Impact Factor: 10.7], [Code Link]

4. A. Quadir, M. Sajid, and M. Tanveer (2024). Granular Ball Twin Support Vector Machine,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-10, DOI: https://doi.org/10.1109/TNNLS.2024.3476391 [SCI Indexed with Impact Factor: 10.2], [Code Link]

5. M. Sajid, A.K. Malik and M. Tanveer (2024). Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers (Link), IEEE Transactions on Fuzzy Systems, vol. 32, no. 8, pp. 4460- 4469, DOI: https://doi.org/10.1109/TFUZZ.2024.3400898 [SCI Indexed with Impact Factor: 10.7], [Code Link]

6. M. Tanveer, M. Sajid, M. Akhtar, A. Quadir, T. Goel, A. Aimen, S. Mitra, Y-D Zhang, CT Lin and J. Del Ser (2024). Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges, IEEE Transactions on Fuzzy Systems, vol. 32, no. 10, pp. 5477- 5492, DOI: https://doi.org/10.1109/TFUZZ.2024.3409412 [SCI Indexed with Impact Factor: 10.7]

7. M. Sajid, A. Quadir, M. Tanveer (2024). “GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing,” in Pattern Recognition, Elsevier, vol. 159, p. 111142, DOI: https://doi.org/10.1016/j.patcog.2024.111142 [SCI Indexed with Impact Factor: 7.5],  [Code Link]

8. M. Sajid, Rahul Sharma, Iman Beheshti and M. Tanveer (2024). Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern, WIREs Data Mining and Knowledge Discovery, vol. 14, no. 5, p. e1546, DOI: https://doi.org/10.1002/widm.1546 [SCI Indexed with Impact Factor: 6.4], [Code and Dataset Link]

1.  A. Jain, J. S. Sanjotra, H. Choudhary, K. Agrawal, R. Shah, R. Jha, M. Sajid, A. Hussain, and M. Tanveer (2024). “LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement,” in Proc. 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), INTERSPEECH 2024, pp. 33-37, DOI: https://doi.org/10.21437/AVSEC.2024-8 [Core Rank A Conference] [Code Link]

2. M. Sajid, A. Quadir, and M. Tanveer (2024). “Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function,” in The 31st International Conference on Neural Information Processing (ICONIP) 2024. DOI: https://doi.org/10.48550/arXiv.2408.02824 [Core Rank B Conference]

3. A. Quadir, M. Sajid, and M. Tanveer (2024). “One Class Restricted Kernel Machines,” in The 31st International Conference on Neural Information Processing (ICONIP) 2024, [Core Rank B Conference]

4. Babita D, Kadali Sri Akash, M. Sajid, Deepak Ranjan Nayak, and M. Tanveer (2024). “CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification,” in The 31st International Conference on Neural Information Processing (ICONIP) 2024. [Core Rank B Conference]

1. A. Quadir, M. Sajid, and M. Tanveer (2024). “Multiview Random Vector Functional Link Network For Predicting DNA-binding Proteins”, https://doi.org/10.48550/arXiv.2409.02588.

2. A. Quadir, M. Sajid, and M. Tanveer (2024). “Enhanced Feature Based Granular Ball Twin Support Vector Machine”, https://doi.org/10.48550/arXiv.2410.05786.

3. M. Tanveer, R. K. Sharma, A. Quadir, and M. Sajid (2024). “Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing”, https://doi.org/10.48550/arXiv.2410.17338.