Dr. Anupama Angadi is from Visakhapatnam. She was awarded Ph.D. in 2016 from Adikavi nannaya university, Rajahmundry, and M.Tech from GITAM in 2009. She has 15 years of teaching experience. Her research areas of interest are Deep learning, Big Data Analytics, and Social Network Analysis. She is a certified faculty from Wipro to train the students in java based tec
Research Publications
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Angadi, A., Gorripati, S. K., & Varma, P. S. (2018). Temporal community-based collaborative filtering to relieve from cold-start and sparsity problems. International Journal of Intelligent Systems and Applications, 10(10), 53.
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Angadi, A., & Varma, P. S. (2016). Finding hubs and outliers in temporal networks. Indian Journal of Science and Technology, 9, 20.
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Angadi, A., & Varma, P. S. (2015). Overlapping community detection in temporal networks. Indian journal of science and technology, 8(31), 1-6.
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Rajeswari, R., Neelima, G., Maram, B., & Angadi, A. (2022). Mvpo predictor: Deep learning-based tumor classification and survival prediction of brain tumor patients with mri using multi-verse political optimizer. International Journal of Pattern Recognition and Artificial Intelligence, 36(02), 2252006.
Expertise
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Recommender Systems
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Social Network Analysis
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Deep Learning
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Text Mining
Authored Books
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Angadi, A., Poosapati, P., Gorripati, S. K., & Maram, B. (2023). A Movie Recommender System with Collaborative and Content Filtering. In Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies, and Applications (pp. 165-188). Bentham Science Publishers.
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Patruni, M. R., Angadi, A., Gorripati, S. K., & Saraswathi, P. (2023). Artificial Intelligence Techniques in Text and Sentiment Analysis. In Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 171-191). IGI Global.
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Gorripati, S. K., Angadi, A., & Saraswathi, P. (2021). Recommender systems: security threats and mechanisms. In Security in IoT Social Networks (pp. 149-178). Academic Press.