Publications

Journals

  1. [2026] Singh, A., Saini, N., Zervoudakis, K., & Tiwari, V. (2026): PULSE: A Multi-Stage Artificial Intelligence Framework for Analyzing Vaccine Hesitancy on Twitter Using Particle Swarm Optimization and Large Language Models, Swarm and Evolutionary Computation DOI: 10.1016/j.swevo.2025.102218 (IF: 8.5)
  2. [2026] Singh, Y., Saini, N. & Tiwari, V.K. (2026): Towards Unified Multi-View Ensemble Models for Multi-Label Podcast Genre Prediction, The Journal of Supercomputing (IF: 2.7)
  3. [2025] Pooja, K. M., Long, C., & Sun, A. (2025): PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking, arXiv preprint arXiv:2510.02726. URL: https://arxiv.org/abs/2510.02726
  4. [2024] S. Palmal, S. Saha, Nikhilanand Arya, and S. Tripathy. (2024): CAGCL: Predicting Short- and Long-Term Breast Cancer Survival with Cross-Modal Attention and Graph Contrastive Learning, IEEE Journal of Biomedical and Health Informatics. DOI: 10.1109/JBHI.2024.3449756 (IF: 6.7)
  5. [2024] A. Mathur, Nikhilanand Arya, K. Pasupa, S. Saha, S. Roy, and S. Saha. (2024): Breast cancer prognosis through the use of multi-modal classifiers: Current state of the art and the way forward, Briefings in Functional Genomics, Oxford University Press. DOI: https://doi.org/10.1093/bfgp/elae015 (IF: 4.3)
  6. [2024] S. Palmal, Nikhilanand Arya, S. Saha, S. Tripathy. (2024): Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest, Applied Soft Computing. DOI: 10.1016/j.asoc.2024.111379 (IF: 8.7)
  7. [2023] Nikhilanand Arya, and S. Saha. (2023): Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction, Scientific Reports. DOI: 10.1038/s41598-023-47543-5 (IF: 4.9)
  8. [2023] S. Palmal, Nikhilanand Arya, S. Saha, and S. Tripathy. (2023): Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral, Scientific Reports. DOI: 10.1038/s41598-023-40341-z (IF: 4.9)
  9. [2023] Nikhilanand Arya, S. Saha, A. Mathur, and S. Saha. (2023): Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi-modal classifiers, Scientific Reports. DOI: 10.1038/s41598-023-30143-8 (IF: 4.9)
  10. [2023] Saini, N., Reddy, S., Saha, S., Moreno J.G., & Doucet, A. (2022): Multi-view multi-objective clustering-based framework for scientific document summarization using citation context, Applied Intelligence. DOI: https://doi.org/10.1007/s10489-022-04166-z (IF: 5.01)
  11. [2022] Nikhilanand Arya, A. Mathur, S. Saha, and S. Saha. (2022): Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation, IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2022.3198879 (IF: 4.5)
  12. [2021] Nikhilanand Arya, and S. Saha. (2021): Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP, IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2021.3090458 (IF: 4.5)
  13. [2021] D. Bansal, R. Grover, Saini, N., & Saha, S. (2021): GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling, IEEE Transactions on Affective Computing. DOI: https://doi.org/10.1109/TAFFC.2021.3131516 (IF: 10.506)
  14. [2021] D. Bansal, Saini, N., S., & Saha, S..: DCBRTS: A Classification-Summarization Approach for Evolving Tweet Streams in Multiobjective Optimization Framework, IEEE Access. DOI: https://doi.org/10.1109/ACCESS.2021.3120112 (IF: 3.367)
  15. [2021] Saini, N., S., Saha, S., Bhattacharyya, P., Mrinal, S. & Mishra, S.: On Multi-modal Microblog Summarization, IEEE Transactions On Computational Social Systems. DOI: https://doi.org/10.1109/TCSS.2021.3110819
  16. [2021] Saini, N., Saha, S.: Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications, European Physical Journal Special Topics. DOI: 10.1140/epjs/s11734-021-00206-w (IF: 1.668).
  17. [2020] Nikhilanand Arya, and S. Saha. (2020): Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model, IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2020.3018467 (IF: 4.5)

Conferences

  1. [2024] Singh, A., Saini, N. & Tiwari, S., (2024, Aug). Unraveling COVID-19 Vaccine Hesitancy: A Multi-Label Classification Approach Using Nested LSTM. In Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024). (In Press)
  2. [2024] Verma, C., Saini, N. & Shukla, S., (2024, Aug). Harmonizing Data: Multilingual, Multistep Deep Learning Approach for Classifying Audio Content into Songs, Podcasts (Talk), and Advertisement. In Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024). (In Press)
  3. [2024] Bangde, Y. & Saini, N., (2024, Aug). Multi-view Ensemble Clustering-based Podcast Recommendation in Indian Regional Setting. In Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024). DOI: https://doi.org/10.1007/978-3-031-78107-0_12
  4. [2024] Goswami, S., Saini, N., & Shukla, S. (2024, June). Incorporating Domain Knowledge in Multi-objective Optimization Framework For Automating Indian Legal Case Summarization. In Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024). DOI: https://doi.org/10.1007/978-3-031-78495-8_17
  5. [2024] Parmar, J., Saini, N., & Dey, D. (2024, March). An Unsupervised Evolutionary Approach for Indian Regional Language Summarization. In Proceedings of the The IEEE World Congress on Computational Intelligence (IEEE WCCI 2024). DOI: https://doi.org/10.1109/CEC60901.2024.10612059
  6. [2023] Nikhilanand Arya, K. Gupta, & S. Saha (2023, July). SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework. In Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC). DOI: 10.1109/EMBC40787.2023.10340386