Lab_01 In-charge

dr. aditi sharan

(Associate Professor)
School of Computer and Systems Sciences, JNU, New Delhi.

Off. Phone: 011-26704682
Email: aditisharan@mail.jnu.ac.in

Areas Of Interest/Specialization:

Currently involved in Biomedical Text Mining and Analytics:
- Information retrieval
- Text classification,
- Text mining for precision medicine,
- Text mining for Adverse Drug Reactions.

(Trying to hybridize biomedical ontology based approaches with deep learning)

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
Dev, S., & Sharan, A. (2023). Automatic construction of named entity corpus for adverse drug reaction prediction. In Advances in Intelligent Systems and Computing (pp. 245–255). Springer Nature Singapore. https://dx.doi.org/10.1007/978-981-99-0550-8_20

Ahmad O., Verma S., Azim S., Sharan A. (2022) Hybridizing Sentence Transformer Model with Multi-KNN for Biomedical Documents. In: Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6460-1_11.
Kumar, S., Sahu, A., & Sharan, A. (2022). Deep learning based architecture for entity extraction from covid related documents. In Information Systems and Management Science (pp. 419–427). Springer International Publishing. http://dx.doi.org/10.1007/978-3-031-13150-9_33
Azim, S., Dev, S., Kumar, S., & Sharan, A. (2022). Artificial Intelligence for Biomedical Informatics. In Artificial Intelligence Technologies for Computational Biology. CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003246688-6/artificial-intelligence-biomedical-informatics-shahid-azim-samridhi-dev-sushil-kumar-aditi-sharan

Kumar, A., Verma, S., & Sharan, A. (2020). ATE-SPD: Simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network. Journal of Experimental & Theoretical Artificial Intelligence, 33(3), 487–508. https://doi.org/10.1080/0952813x.2020.1764632

Kumar, A., Saini, M., & Sharan, A. (2020). Aspect category detection using statistical and semantic association. Computational Intelligence, 36(3), 1161–1182. https://doi.org/10.1111/coin.12327

Singh, A., & Sharan, A. (2018). Genetic-Fuzzy programming based linkage rule miner (gfplr-miner) for entity linking in semantic web. International Journal on Semantic Web and Information Systems, 14(3), 134–166. https://doi.org/10.4018/ijswis.2018070107
Mehrotra, S., Kohli, S., & Sharan, A. (2018). To identify the usage of clustering techniques for improving search result of a website. International Journal of Data Mining, Modelling and Management, 10(3), 229. https://doi.org/10.1504/ijdmmm.2018.093879

Singh, J., & Sharan, A. (2016). A new fuzzy logic-based query expansion model for efficient information retrieval using relevance feedback approach. Neural Computing and Applications, 28(9), 2557–2580. https://doi.org/10.1007/s00521-016-2207-x

Verma, H., Agrawal, R. K., & Sharan, A. (2016). An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation. Applied Soft Computing, 46, 543–557. https://doi.org/10.1016/j.asoc.2015.12.022
Singh, J., & Sharan, A. (2016). Relevance Feedback-based Query Expansion Model using Ranks Combining and Word2Vec Approach. IETE Journal of Research, 62(5), 591–604. https://doi.org/10.1080/03772063.2015.1136575
Malik, N., & Sharan, A. (2016). Semantic Web Oriented framework for Knowledge Management in Agriculture Domain. International Journal of Web Applications., 8(3), 71-79. https://www.dline.info/ijwa/fulltext/v8n3/ijwav8n3_1.pdf

Singh, J., & Sharan, A. (2015). Relevance feedback based query expansion model using borda count and semantic similarity approach. Computational Intelligence and Neuroscience, 2015, 1–13. https://doi.org/10.1155/2015/568197

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