Verma, S., Sharan, A. & Malik, N. Efficient Classification of Hallmark of Cancer Using Embedding-Based Support Vector Machine for Multilabel Text. New Generation Computing (2024). https://doi.org/10.1007/s00354-024-00248-3 

Verma, S., & Sharan, A. (2023). Unveiling the Biomarkers: Identifying Key Signatures for Cancer Hallmarks. EAI Endorsed Transactions on Pervasive Health and Technology. DOI: https://doi.org/10.4108/eetpht.10.5649 

Verma, S., & Sharan, A. (2023). Incorporating semantics for text classification in biomedical domain. In Lecture Notes in Electrical Engineering (pp. 185–197). Springer Nature Singapore. https://dx.doi.org/10.1007/978-981-19-9090-8_17

Soni, G., Verma, S., Sharan, A., Ahmad, O. (2023). BioBERT-Based Model for COVID-Related Named Entity Recognition. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_32 

Verma, S., & Sharan, A. (2023). Unveiling the Biomarkers: Identifying Key Signatures for Cancer Hallmarks. Presented at International Conference on Machine Learning And Applied Data Analytics December 15-16, 2023, Dehradun, India.

Malik, N., Jindal, K., Verma, S., & Gupta, S. (2024). Metaverse Dynamics: Exploring Industry Impacts and Educational Frontiers. In G. Prakasha, M. Lapina, D. Balakrishnan, & M. Sajid (Eds.), Educational Perspectives on Digital Technologies in Modeling and Management (pp. 195-218). IGI Global. https://doi.org/10.4018/979-8-3693-2314-4.ch010