Vineet Padmanabhan
Vineet Padmanabhan
Professor of Computer Science, University of Hyderabad
Verified email at - Homepage
Cited by
Cited by
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
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
Virtual user approach for group recommender systems using precedence relations
VR Kagita, AK Pujari, V Padmanabhan
Information Sciences 294, 15-30, 2015
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
Conformal matrix factorization based recommender system
TVR Himabindu, V Padmanabhan, AK Pujari
Information Sciences 467, 685-707, 2018
Group preserving label embedding for multi-label classification
V Kumar, AK Pujari, V Padmanabhan, VR Kagita
Pattern Recognition 90, 23-34, 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
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
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
Multi-label classification using hierarchical embedding
V Kumar, AK Pujari, V Padmanabhan, SK Sahu, VR Kagita
Expert Systems with Applications 91, 263-269, 2018
The cost of social agents
G Governatori, A Rotolo, V Padmanabhan
Proceedings of the fifth international joint conference on Autonomous agents …, 2006
Real time strategy games: a reinforcement learning approach
H Sethy, A Patel, V Padmanabhan
Procedia Computer Science 54, 257-264, 2015
On fibring semantics for BDI logics
G Governatori, V Padmanabhan, A Sattar
Logics in Artificial Intelligence: 8th European Conference, JELIA 2002 …, 2002
Algebraic modeling and verification of web service composition
GN Rai, GR Gangadharan, V Padmanabhan
Procedia computer science 52, 675-679, 2015
Observation-based model for BDI-agents
K Su, A Sattar, K Wang, X Luo, G Governatori, V Padmanabhan
AAAI, 190-195, 2005
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
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
A defeasible logic of policy-based intention
G Governatori, V Padmanabhan
Australasian Joint Conference on Artificial Intelligence, 414-426, 2003
Rule-based agents in temporalised defeasible logic
G Governatori, V Padmanabhan, A Rotolo
PRICAI 2006: Trends in Artificial Intelligence: 9th Pacific Rim …, 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
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