Enhancing Accuracy of Recommender System through Adaptive Similarity Measures Based on Hybrid Features. - Deepa Anand; Kamal Kant Bharadwaj (ACIIDS (2), 2010)

Tackling the Sparsity Problem in Recommender Systems by Leveraging on Indirect User-User and Item-Item Similarity. - Deepa Anand; Kamal Kant Bharadwaj (IICAI, 2011)

Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. - Deepa Anand; Kamal Kant Bharadwaj (Expert Syst. Appl., 2011)

Pruning trust-distrust network via reliability and risk estimates for quality recommendations. - Deepa Anand; Kamal Kant Bharadwaj (Soc. Netw. Anal. Min., 2013)

User Profiling Based on Keyword Clusters for Improved Recommendations. - Deepa Anand; Bonson Sebastian Mampilli (ICDCIT, 2014)

Folksonomy-based fuzzy user profiling for improved recommendations. - Deepa Anand; Bonson Sebastian Mampilli (Expert Syst. Appl., 2014)

Exploring graph-based global similarity estimates for quality recommendations. - Deepa Anand; Kamal Kant Bharadwaj (Int. J. Comput. Sci. Eng., 2014)

Predicting Post Importance in Question Answer Forums Based on Topic-Wise User Expertise. - Deepa Anand; Febin A. Vahab (ICDCIT, 2015)

Semi-supervised Aspect Based Sentiment Analysis for Movies Using Review Filtering. - Deepa Anand; Deepan Naorem (IHCI, 2015)

Assessing the Performance of CMOS Amplifiers Using High-k Dielectric with Metal Gate on High Mobility Substrate. - Deepa Anand; M. Swathi; A. Purushothaman; Sundararaman Gopalan (ICACDS (1), 2018)

Legal document similarity: a multi-criteria decision-making perspective. - Rupali S. Wagh; Deepa Anand (PeerJ Comput. Sci., 2020)

A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction. - Deepa Anand; Bonson Sebastian Mampilli (Appl. Soft Comput., 2021)

Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images. - Deepa Anand; Pavan Annangi; Prasad Sudhakar (EMBC, 2022)

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. - Deepa Anand; Rohan Patil; Utkarsh Agrawal; Rahul Venkataramani; Hariharan Ravishankar; Prasad Sudhakar (ISBI, 2022)

Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. - Hariharan Ravishankar; Rohan Patil; Deepa Anand; Vanika Singhal; Utkarsh Agrawal; Rahul Venkataramani; Prasad Sudhakar (UNSURE@MICCAI, 2022)

Effective deep learning approaches for summarization of legal texts. - Deepa Anand; Rupali S. Wagh (J. King Saud Univ. Comput. Inf. Sci., 2022)

One-shot Localization and Segmentation of Medical Images with Foundation Models. - Deepa Anand; Gurunath Reddy M; Vanika Singhal; Dattesh D. Shanbhag; K. S. Shriram; Uday Patil; Chitresh Bhushan; Kavitha Manickam; Dawei Gui; Rakesh Mullick; Avinash Gopal; Parminder Bhatia; et al. (CoRR, 2023)

Estimating deviation from Canonical Orientation for CT Head images. - Deepa Anand; Vanika Singhal; Rakesh Mullick; Uday Patil; Sandeep Dutta; Bipul Das (ISBI, 2024)

Data Adaptive Few-shot Multi Label Segmentation with Foundation Model. - Gurunath Reddy M; Dattesh Shanbhag; Deepa Anand (CoRR, 2024)

Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks. - Deepa Anand; Bipul Das; Vyshnav Dangeti; Antony Jerald; Rakesh Mullick; Uday Patil; Pakhi Sharma; Prasad Sudhakar (CoRR, 2024)