Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities D Anand, KK Bharadwaj Expert systems with applications 38 (5), 5101-5109, 2011 | 199 | 2011 |
Effective deep learning approaches for summarization of legal texts D Anand, R Wagh Journal of King Saud University-Computer and Information Sciences 34 (5 …, 2022 | 102 | 2022 |
Semi-supervised Aspect Based Sentiment Analysis for Movies Using Review Filtering D Anand, N Deepan Procedia Computer Science 84, 86-93, 2016 | 73 | 2016 |
Folksonomy-based fuzzy user profiling for improved recommendations D Anand, BS Mampilli Expert Systems with Applications 41 (5), 2424-2436, 2014 | 42 | 2014 |
Pruning trust–distrust network via reliability and risk estimates for quality recommendations D Anand, KK Bharadwaj Social Network Analysis and Mining 3, 65-84, 2013 | 41 | 2013 |
Adaptive user similarity measures for recommender systems: a genetic programming approach D Anand, KK Bharadwaj 2010 3rd International Conference on Computer Science and Information …, 2010 | 30 | 2010 |
Enhancing accuracy of recommender system through adaptive similarity measures based on hybrid features D Anand, KK Bharadwaj Intelligent Information and Database Systems: Second International …, 2010 | 27 | 2010 |
Feature extraction for collaborative filtering: a genetic programming approach D Anand International Journal of Computer Science Issues (IJCSI) 9 (5), 348, 2012 | 22 | 2012 |
Application of citation network analysis for improved similarity index estimation of legal case documents: A study R Wagh, D Anand 2017 IEEE international conference on current trends in advanced computing …, 2017 | 21 | 2017 |
Legal document similarity: a multi-criteria decision-making perspective RS Wagh, D Anand PeerJ Computer Science 6, e262, 2020 | 17 | 2020 |
Exploring graph-based global similarity estimates for quality recommendations D Anand, KK Bharadwaj International journal of computational science and engineering 9 (3), 188-197, 2014 | 13 | 2014 |
A novel approach of augmenting training data for legal text segmentation by leveraging domain knowledge RS Wagh, D Anand Intelligent Systems, Technologies and Applications: Proceedings of ISTA 2018 …, 2020 | 12 | 2020 |
A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction D Anand, BS Mampilli Applied Soft Computing 102, 107086, 2021 | 8 | 2021 |
Benchmarking self-supervised representation learning from a million cardiac ultrasound images D Anand, P Annangi, P Sudhakar 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 7 | 2022 |
One-shot localization and segmentation of medical images with foundation models D Anand, V Singhal, DD Shanbhag, S KS, U Patil, C Bhushan, ... arXiv preprint arXiv:2310.18642, 2023 | 6 | 2023 |
Enhancing Accuracy of Recommender Systems Through Various Approaches to Local and Global Similarity Measures D Anand Jawaharlal nehru university new delhi. doctorate's thesis, Jawaharlal Nehru …, 2011 | 6 | 2011 |
User profiling based on keyword clusters for improved recommendations D Anand, BS Mampilli International Conference on Distributed Computing and Internet Technology …, 2014 | 5 | 2014 |
Investigations into the goodness of posts in q&a forums—popularity versus quality D Anand, S Ravichandran Information Systems Design and Intelligent Applications: Proceedings of …, 2015 | 4 | 2015 |
Group movie recommendations via content based feature preferences D Anand International Journal of Scientific & Engineering Research 4 (2), 2013 | 4 | 2013 |
Cross domain aspect extraction using various embedding techniques and language models BS Mampilli, D Anand Proceedings of the 2nd International Conference on Recent Trends in Machine …, 2022 | 3 | 2022 |