Vineet Padmanabhan's Research Publications

DBLP

SCOPUS

2016

  • Ayang Leishram,Vineet Padmanabhan, Satyaprakash Sahu, S.K.Udgata. Collaborative Filtering, Matrix Factorization and Population BasedSearch: The Nexus Unveiled. 23rd International Conference on Neural In-formation Processing (ICONIP 2016), Kyoto, Japan, 16-21 October 2016,SPringer.
  • Tadiparthi V. R. Himabindu,Vineet Padmanabhan, Arun K Pujari, Abdul Sattar. Prediction with Confidence in Item Based Collaborative Filtering. 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI- 16), Phuket, Thailand, August 22-26, Springer, Pages 125-138.
  • Venkateswara Rao Kagita, Arun K. Pujari,Vineet Padmanabhan, Vikas Kumar, Sandeep Sahu. Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI-16), Thailand, August 22-26,Springer, 193-205.
  • Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan. Justification in Group Recommender Systems. International Conference on advanced computing and intelligent engineering (ICACIE-2016), Springer, 21-23 December 2016.

2015

  • Sandeep Kumar Sahu, Arun K Pujari, Vikas Kumar, VR Kagita, Vineet Padmanabhan. Greedy partitioning based tree structured multiclass SVM for Odia OCR. Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 16-19 December, 2015.
  • Abhinash Pujahari, Vineet Padmanabhan. A New Grouping Method Based on Social Choice Strategies for Group Recommender System. Proceedings of the International conference on CIDM, Computational Intelligence in Data Mining-Volume 1, Springer, 325-332, December, 2015.
  • Abhinash Pujahari,Vineet Padmanabhan, S Patel. Nearest Neighbour with Priority Based Recommendation Approach to Group Recommender Sys- tem. Proceedings of the International conference on CIDM, Computational Intelligence in Data Mining, Volume 2, Springer, 347-354, December 2015.
  • Nishma Laitonjem, Vineet Padmanabhan, Arun K Pujari, Rajendra Prasad Lal. Topic Modelling for Songs. 2015 International Conference on Information Technology, ICIT 2015, Bhubaneswar, India, December 21-23, 2015.IEEE2015, Pages 130-135.
  • Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar,Vineet Padmanabhan. GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. 2015 International Conference on Information Tech- nology, ICIT 2015, Bhubaneswar, India, December 21-23, 2015, IEEE2015, Pages 142-147.
  • Abinash Pujahari, Vineet Padmanabhan. Group Recommender Sys- tems: Combining User-User and Item-Item Collaborative Filtering Tech- niques. 2015 International Conference on Information Technology, ICIT 2015, Bhubaneswar, India, December 21-23, 2015,IEEE2015, Pages 148-152.
  • Venkateswara Rao Kagita, Krishna Charan Meka, Vineet Padmanabhan. A Novel Social-Choice Strategy for Group Modeling in Recommender Systems. 2015 International Conference on Information Technology, ICIT 2015, Bhubaneswar, India, December 21-23, 2015.IEEE2015, Pages 153-158.
  • Vineet Padmanabhan, Pranay Goud, Arun K.Pujari, Harshit Sethy. Learning in Real-Time Strategy Games. 2015 International Conference on Information Technology, ICIT 2015, Bhubaneswar, India, December 21-23, 2015.IEEE2015, Pages 165-170.
  • Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan, Bi-directional Search for Skyline Probability, Algorithms and Discrete Applied Mathematics (CALDAM-2015), IIT-Kanpur, India, Febru- ary 8-10, 2015.
  • Tadiparthi Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K Pujari. Recommender system algorithms: A comparative analysis based on monotonicity, Eighth International Conference on Advances in Pattern Recognition (ICAPR-2015), ISI Kolkata, India, January 4-7, 2015.
  • 2014

    • Upendra Kumar Singh,Vineet Padmanabhan, Arun Agarwal. Dynamic classification of ballistic missiles using neural networks and hidden Markov models. Applied Soft Computing Journal, Elsevier, 2014, Volume 19: Pages 280-289.
    • Abinash Pujahari, Vineet Padmanabhan. An approach tp content based recommender systems using decision list based classification with K-Dnf rule set, 2014 International Conference on Information Technology (ICIT-)2014, December 22-24, 2014, Bhubaneswar, India.
    • Abinash Pujahari, Vineet Padmanabhan. A new grouping method based on social choice strategies for group recommender systems, Computational Intelligence in Datamining, Volume 1, Pages 325-332, Springer.
    • Sowmini Devi, Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan. Collaborative Filtering by PSO-based MMMF, The 2014 IEEE International Conference on Systems, Man, and Cybernetics IEEE-SMC), October 5-8, 2014, San Diego, USA.

    2013

    • Venkateswara Rao Kagita, Arun K Pujari and Vineet Padmanabhan. Group Recommender Systems: A Virtual User Approach based on precedence mining. Accepted for the 26th Australasian Joint Conference on Artificial Intelligence (AI-2013).
    • Venkateswara Rao Kagita, Vineet Padmanabhan, and Arun K. Pujari. Precedence Mining in Group Recommender Systems. Accepted for PReMI-2013.
    • Upendra Kumar Singh, Vineet Padmanabhan and Arun Agarwal. A Novel Method For Training and Classification of Ballistic and Quasi-Ballistic Missiles in Real-Time. Accepted for the International Journal Conference on Neural Networks (IJCNN-2013) .
    • Abhishek Anand, Vineet Padmanabhan. Time Series Qlet : Invariant Approach for Data Mining. Accepted for the International Conference on contemporary Computing (IC3-1013).
    • Upendra Kumar Singh and Vineet Padmanabhan. Training by ART-2 and Classification of Ballistic Missiles Using Hidden Markov Model. Accepted for PReMI-2013.
    • Vineet Padmanabhan, Prabhukiran Ganapavarapu and Abdul Sattar. Group Recommender Systems: Some Experimental Results. 5th International Conference on Agents and Artificial Intelligence (ICAART-2013).

    2011

    • Vineet Padmanabhan , Guido Governatori, Abdul Sattar and Ramesh Babu. Incorporating temporal Planning within a BDI aArchitecture. Accepted for the 5th Indian International Conference on Artificial Intelligence (IICAI-2011).
    • Vineet Padmanabhan , Siva Krishna Seemala, Wilson Naik Bhukya: A Rule Based Approach to Group Recommender Systems. MIWAI 2011: 26-37
    • Vineet Padmanabhan, Guido Governatori, Abdul Sattar: Fibred BDI Logics: Completeness Preservation in the Presence of Interaction Axioms. MIWAI 2011: 63-74
    • Kollapalli Ramesh Babu, Vineet Padmanabhan , Wilson Naik Bhukya: Reasoning about DNSSEC. MIWAI 2011: 75-86

    2010

    • Vineet Padmanabhan , Guido Governatori, Abdul Sattar. Fibred BDI Logics: Completeness Preservation in the presence of Interaction Axioms. Accepted for presentation to the Indian Conference on Logic and its Applications (ICLA-2011).

    2009

    2008

    • Vineet Padmanabhan, Guido Governatori, Subhasis Thakur. Knowledge Assessment: A Modal Logic Approach 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam. LNCS, 5357, Pages 315-322, 2008, Springer

    2007

    • Subhasis Thakur, Guido Governatori, Vineet Padmanabhan, Jenny Eriksson Lundstr{\"o}m}. Dialogue Games in Defeasible Logic. 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia. LNCS 4830, Pages 497-506, 2007, Springer.
    • Jenny Eriksson Lundstr{\"o}m, Guido Governatori, Subhasis Thakur, Vineet Padmanabhan. An Asymmetric Protocol for Argumentation Games in Defeasible Logic. 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Bangkok, Thailand. LNCS 5044, Pages 219-231, Springer.

    2006

    • Vineet Padmanabhan, Guido Governatori. A fibred Tableaux Calculus for Modal Logics of Agents. Declarative Agent Languages and Technologies IV, 4th International Workshop, DALT 2006, Hakodate, Japan. Selected, Revised and Invited Papers. LNCS 4327, Pages 105-122, 2006, Springer.
    • Vineet Padmanabhan, Gudo Governatori. On Constructing Fibred Tableaux for BDI Logics. Pacific Rim International Conference on Artificial Intelligence (PRICAI-2006). LNCS 4099, Pages 150-160, 2006, Springer.
    • Vineet Padmanabhan, Guido Governatori, Shazia Wasim Sadiq, Robert Colomb, Antonino Rotolo. Process Modelling: The Deontic Way Conceptual Modelling 2006, Third Asia-Pacific Conference on Conceptual Modelling (APCCM 2005), Hobart, Tasmania, Australia. Australian Computer Society, CRPIT, Volume 53, Pages 75-84, 2006
    • Guido Governatori, Antonino Rotolo, Vineet Padmanabhan. The cost of social agents. 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan. ACM, Pages 513-520, 2006.
    • Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan , Guido Governatori. Using a temporal constraint network for business process execution. Proceedings of the 17th Australasian Database Conference (ADC), Hobart, Tasmania, Australia. Australian Computer Scoiety, CRPIT, Volume 9, 2006, Pages 157-166.
    • Guido Governatori, Vineet Padmanabhan, Antonino Rotolo. Rule-Based Agents in Temporalised Defeasible Logic 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI-06), Guilin, China. LNCS 4099, Pages 31-40, 2006, Springer

    2000-2005

    • Kaile Su, Abdul Sattar, Kewen Wang, Xiangyu Luo, Guido Governatori, Vineet Padmanabhan. Observation-based Model for BDI-Agents. 20th National Conference on Artificial Intelligence (AAAI-05), Pittsburgh, Pennsylvania, USA. AAAI/MIT Press, Pages 190-195, 2005.
    • Guido Governatori, Vineet Padmanabhan. A Defeasible Logic of Policy-Based Intention. 16th Australian Conference on Artificial Intelligence, Perth, Australia. LNCS 2903, Pages 414-426, 2003, Springer.
    • Guido Governatori, Vineet Padmanabhan, Abdul Sattar. On Fibring Semantics for BDI Logics. Logics in Artificial Intelligence, European Conference, JELIA 2002, Cosenza, Italy. LNCS 2424, Pages 198-210, 2002, Springer.
    • Vineet Padmanabhan, Guido Governatori, Abdul Sattar. Actions Made Explicit in BDI. 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia. LNCS 2256, Pages 390-401, 2001, Springer.