| Using a temporal constraint network for business process execution R Lu, S Sadiq, V Padmanabhan, G Governatori Proceedings of the 17th Australasian Database Conference-Volume 49, 157-166, 2006 | 88 | 2006 |
| A defeasible logic for modelling policy-based intentions and motivational attitudes G Governatori, V Padmanabhan, A Rotolo, A Sattar Logic Journal of IGPL 17 (3), 227-265, 2009 | 67 | 2009 |
| Virtual user approach for group recommender systems using precedence relations VR Kagita, AK Pujari, V Padmanabhan Information Sciences 294, 15-30, 2015 | 59 | 2015 |
| Conformal matrix factorization based recommender system TVR Himabindu, V Padmanabhan, AK Pujari Information Sciences 467, 685-707, 2018 | 53 | 2018 |
| Collaborative filtering using multiple binary maximum margin matrix factorizations V Kumar, AK Pujari, SK Sahu, VR Kagita, V Padmanabhan Information Sciences 380, 1-11, 2017 | 53 | 2017 |
| Group preserving label embedding for multi-label classification V Kumar, AK Pujari, V Padmanabhan, VR Kagita Pattern Recognition 90, 23-34, 2019 | 45 | 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 | 41 | 2015 |
| Proximal maximum margin matrix factorization for collaborative filtering V Kumar, AK Pujari, SK Sahu, VR Kagita, V Padmanabhan Pattern Recognition Letters 86, 62-67, 2017 | 35 | 2017 |
| Process modelling: the deontic way V Padmanabhan, G Governatori, S Sadiq, R Colomb, A Rotolo Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling …, 2006 | 34 | 2006 |
| Multi-label classification using hierarchical embedding V Kumar, AK Pujari, V Padmanabhan, SK Sahu, VR Kagita Expert Systems with Applications 91, 263-269, 2018 | 33 | 2018 |
| Real time strategy games: a reinforcement learning approach H Sethy, A Patel, V Padmanabhan Procedia Computer Science 54, 257-264, 2015 | 29 | 2015 |
| The cost of social agents G Governatori, A Rotolo, V Padmanabhan Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 29 | 2006 |
| On fibring semantics for BDI logics G Governatori, V Padmanabhan, A Sattar Logics in Artificial Intelligence: 8th European Conference, JELIA 2002 …, 2002 | 29 | 2002 |
| Discovery of user-item subgroups via genetic algorithm for effective prediction of ratings in collaborative filtering A Laishram, V Padmanabhan Applied Intelligence 49 (11), 3990-4006, 2019 | 27 | 2019 |
| Observation-based model for BDI-agents K Su, A Sattar, K Wang, X Luo, G Governatori, V Padmanabhan AAAI, 190-195, 2005 | 25 | 2005 |
| Algebraic modeling and verification of web service composition GN Rai, GR Gangadharan, V Padmanabhan Procedia computer science 52, 675-679, 2015 | 24 | 2015 |
| Dynamic classification of ballistic missiles using neural networks and hidden Markov models UK Singh, V Padmanabhan, A Agarwal Applied Soft Computing 19, 280-289, 2014 | 24 | 2014 |
| A defeasible logic of policy-based intention G Governatori, V Padmanabhan Australasian Joint Conference on Artificial Intelligence, 414-426, 2003 | 23 | 2003 |
| Rule-based agents in temporalised defeasible logic G Governatori, V Padmanabhan, A Rotolo PRICAI 2006: Trends in Artificial Intelligence: 9th Pacific Rim …, 2006 | 22 | 2006 |
| Gp-svm: Tree structured multiclass svm with greedy partitioning SK Sahu, AK Pujari, VR Kagita, V Kumar, V Padmanabhan 2015 International Conference on Information Technology (ICIT), 142-147, 2015 | 21 | 2015 |
