| Evaluation of machine learning models for employee churn prediction DS Sisodia, S Vishwakarma, A Pujahari 2017 international conference on inventive computing and informatics (icici …, 2017 | 115 | 2017 |
| Pair-wise preference relation based probabilistic matrix factorization for collaborative filtering in recommender system A Pujahari, DS Sisodia Knowledge-Based Systems 196, 105798, 2020 | 56 | 2020 |
| Clickbait detection using multiple categorisation techniques A Pujahari, DS Sisodia Journal of information science 47 (1), 118-128, 2021 | 51 | 2021 |
| Modeling side information in preference relation based restricted boltzmann machine for recommender systems A Pujahari, DS Sisodia Information Sciences 490, 126-145, 2019 | 40 | 2019 |
| Group recommender systems: Combining user-user and item-item collaborative filtering techniques A Pujahari, V Padmanabhan 2015 International conference on information technology (ICIT), 148-152, 2015 | 37 | 2015 |
| Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system A Pujahari, DS Sisodia Expert Systems with Applications 156, 113476, 2020 | 29 | 2020 |
| Preference relation based collaborative filtering with graph aggregation for group recommender system A Pujahari, DS Sisodia Applied Intelligence 51, 658-672, 2021 | 23 | 2021 |
| Model-based collaborative filtering for recommender systems: An empirical survey A Pujahari, DS Sisodia 2020 First International Conference on Power, Control and Computing …, 2020 | 18 | 2020 |
| A comparative performance study of machine learning algorithms for sentiment analysis of movie viewers using open reviews DS Sisodia, S Bhandari, NK Reddy, A Pujahari Performance Management of Integrated Systems and its Applications in …, 2020 | 17 | 2020 |
| An approach to content based recommender systems using decision list based classification with k-DNF rule set A Pujahari, V Padmanabhan 2014 International Conference on Information Technology, 260-263, 2014 | 15 | 2014 |
| Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems A Pujahari, DS Sisodia Expert Systems with Applications 206, 117849, 2022 | 14 | 2022 |
| Handling dynamic user preferences using integrated point and distribution estimations in collaborative filtering A Pujahari, DS Sisodia IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (10), 6639-6651, 2022 | 12 | 2022 |
| A new grouping method based on social choice strategies for group recommender system A Pujahari, V Padmanabhan Computational Intelligence in Data Mining-Volume 1: Proceedings of the …, 2015 | 10 | 2015 |
| Ordinal consistency based matrix factorization model for exploiting side information in collaborative filtering A Pujahari, DS Sisodia Information Sciences 643, 119258, 2023 | 6 | 2023 |
| Efficient question answering in chatbot using TF-IDF and cosine similarity R Shrivastava, A Pujahari, SP Singh, T Bhowmik Innovations in Information and Communication Technologies: Proceedings of …, 2022 | 4 | 2022 |
| Nearest neighbour with priority based recommendation approach to group recommender system A Pujahari, V Padmanabhan, S Patel Computational Intelligence in Data Mining—Volume 2: Proceedings of the …, 2016 | 3 | 2016 |
| Modeling users’ preference changes in recommender systems via time-dependent Markov random fields A Pujahari, DS Sisodia Expert Systems with Applications 234, 121072, 2023 | 1 | 2023 |
| DoS Defense Using Modified Naive Bayes RK Shrivastava, SP Singh, A Pujahari Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023 | | 2023 |
| A Comparative Performance Study of Machine Learning Algorithms for Sentiment Analysis of Movie Viewers DS Sisodia, S Bhandari, NK Reddy, A Pujahari Performance Management of Integrated Systems and its Applications in …, 2019 | | 2019 |
Vineet PadmanabhanProfessor of Computer Science, University of Hyderabad在 uohyd.ernet.in 的电子邮件经过验证
Vineet PadmanabhanProfessor of Computer Science, University of Hyderabad在 uohyd.ernet.in 的电子邮件经过验证