Vineet Padmanabhan

According to our database, Vineet Padmanabhan authored at least 80 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Decomposing the deep: finding class-specific filters in deep CNNs.

Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal

Neural Comput. Appl., June, 2023

GPU accelerated matrix factorization of large scale data using block based approach.

Prasad Bhavana, Vineet Padmanabhan

CoRR, 2023

Content Based Network Representational Learning for Movie Recommendation (CNMovieRec).

Nageswar Rao Kota, Vineet Padmanabhan, Wilson Naik Bhukya

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

Re-examining Class Selectivity in Deep Convolutional Networks.

Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

2022

Inductive conformal recommender system.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

Knowl. Based Syst., 2022

A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data.

Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

Inf. Syst., 2022

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data.

Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

CoRR, 2022

Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.

Brahmani Nutakki, Akshay Badola, Vineet Padmanabhan

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Web Service Interaction Modeling and Verification Using Recursive Composition Algebra.

Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan, Rajkumar Buyya

IEEE Trans. Serv. Comput., 2021

Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs.

Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal

CoRR, 2021

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data.

Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

CoRR, 2021

Matrix factorization of large scale data using multistage matrix factorization.

Prasad Bhavana, Vineet Padmanabhan

Appl. Intell., 2021

Committee Selection using Attribute Approvals.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

Skyline recommendation with uncertain preferences.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

Pattern Recognit. Lett., 2019

Group preserving label embedding for multi-label classification.

Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita

Pattern Recognit., 2019

Block based Singular Value Decomposition approach to matrix factorization for recommender systems.

Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan

CoRR, 2019

Committee Selection with Attribute Level Preferences.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

CoRR, 2019

A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation.

Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar

Appl. Soft Comput., 2019

Discovery of user-item subgroups via genetic algorithm for effective prediction of ratings in collaborative filtering.

Ayangleima Laishram, Vineet Padmanabhan

Appl. Intell., 2019

BMF: Matrix Factorization of Large Scale Data Using Block Based Approach.

Prasad Bhavana, Vineet Padmanabhan

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means.

Ayangleima Laishram, Vineet Padmanabhan

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Conformal matrix factorization based recommender system.

Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari

Inf. Sci., 2018

Multi-label classification using hierarchical embedding.

Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita

Expert Syst. Appl., 2018

Multi-cell LSTM Based Neural Language Model.

Thomas Cherian, Akshay Badola, Vineet Padmanabhan

CoRR, 2018

BDI Based Performance Enhancement in DNSSEC.

Kollapalli Ramesh Babu, Vineet Padmanabhan

Proceedings of the Distributed Computing and Internet Technology, 2018

2017

Proximal maximum margin matrix factorization for collaborative filtering.

Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan

Pattern Recognit. Lett., 2017

Collaborative filtering using multiple binary maximum margin matrix factorizations.

Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan

Inf. Sci., 2017

Conformal recommender system.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar

Inf. Sci., 2017

Bounds on skyline probability for databases with uncertain preferences.

Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita

Int. J. Approx. Reason., 2017

Divide and Transfer: Understanding Latent Factors for Recommendation Tasks.

Vidyadhar Rao, Rosni K. Vasu, Vineet Padmanabhan

Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

A Matrix Factorization & Clustering Based Approach for Transfer Learning.

Sowmini Devi V., Vineet Padmanabhan, Arun K. Pujari

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Prediction with Confidence in Item Based Collaborative Filtering.

Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus Unveiled.

Ayangleima Laishram, Satya Prakash Sahu, Vineet Padmanabhan, Siba Kumar Udgata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Efficient computation for probabilistic skyline over uncertain preferences.

Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan

Inf. Sci., 2015

Virtual user approach for group recommender systems using precedence relations.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan

Inf. Sci., 2015

Greedy partitioning based tree structured multiclass SVM for Odia OCR.

Sandeep Kumar Sahu, Arun K. Pujari, Vikas Kumar, Venkateswara Rao Kagita, Vineet Padmanabhan

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Recommender system algorithms: A comparative analysis based on monotonicity.

Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning.

Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan

Proceedings of the 2015 International Conference on Information Technology, 2015

Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques.

Abinash Pujahari, Vineet Padmanabhan

Proceedings of the 2015 International Conference on Information Technology, 2015

Learning in Real-Time Strategy Games.

Vineet Padmanabhan, Pranay Goud, Arun K. Pujari, Harshit Sethy

Proceedings of the 2015 International Conference on Information Technology, 2015

Topic Modelling for Songs.

Nishma Laitonjam, Vineet Padmanabhan, Arun K. Pujari, Rajendra Prasad Lal

Proceedings of the 2015 International Conference on Information Technology, 2015

A Novel Social-Choice Strategy for Group Modeling in Recommender Systems.

Venkateswara Rao Kagita, Krishna Charan Meka, Vineet Padmanabhan

Proceedings of the 2015 International Conference on Information Technology, 2015

Bi-directional Search for Skyline Probability.

Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan

Proceedings of the Algorithms and Discrete Applied Mathematics, 2015

Algebraic Modeling and Verification of Web Service Composition.

Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan

Proceedings of the 6th International Conference on Ambient Systems, 2015

2014

Dynamic classification of ballistic missiles using neural networks and hidden Markov models.

Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal

Appl. Soft Comput., 2014

Collaborative filtering by PSO-based MMMF.

Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

An Approach to Content Based Recommender Systems Using Decision List Based Classification with k-DNF Rule Set.

Abinash Pujahari, Vineet Padmanabhan

Proceedings of the 2014 International Conference on Information Technology, 2014

2013

Training by ART-2 and Classification of Ballistic Missiles Using Hidden Markov Model.

Upendra Kumar Singh, Vineet Padmanabhan

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Precedence Mining in Group Recommender Systems.

Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

A novel method for training and classification of ballistic and quasi-ballistic missiles in real-time.

Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Group Recommender Systems - Some Experimental Results.

Vineet Padmanabhan, Prabhu Kiran, Abdul Sattar

Proceedings of the ICAART 2013, 2013

Training and classification of ballistic missiles using Hidden Markov model.

Upendra Kumar Singh, Vineet Padmanabhan

Proceedings of the Sixth International Conference on Contemporary Computing, 2013

Time Series Qlet: Invariant approach for data mining.

Abhishek Anand, Vineet Padmanabhan

Proceedings of the Sixth International Conference on Contemporary Computing, 2013

Group Recommender Systems: A Virtual User Approach Based on Precedence Mining.

Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012

Content Contributor Management and Network Effects in a UGC Environment.

Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard

Mark. Sci., 2012

2011

Crisis and Consumption Smoothing.

Pushan Dutt, Vineet Padmanabhan

Mark. Sci., 2011

A Rule Based Approach to Group Recommender Systems.

Vineet Padmanabhan, Siva Krishna Seemala, Wilson Naik Bhukya

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

Fibred BDI Logics: Completeness Preservation in the Presence of Interaction Axioms.

Vineet Padmanabhan, Guido Governatori, Abdul Sattar

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

Reasoning about DNSSEC.

Kollapalli Ramesh Babu, Vineet Padmanabhan, Wilson Naik Bhukya

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

Incorporating Temporal Planning Within a BDI Architecture.

Vineet Padmanabhan, Abdul Sattar, Guido Governatori, Kollapalli Ramesh Babu

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

2009

A defeasible logic for modelling policy-based intentions and motivational attitudes.

Guido Governatori, Vineet Padmanabhan, Antonino Rotolo, Abdul Sattar

Log. J. IGPL, 2009

2008

Research Note - A Cross-Category Model of Households' Incidence and Quantity Decisions.

Rakesh Niraj, Vineet Padmanabhan, P. B. Seetharaman

Mark. Sci., 2008

Knowledge Assessment: A Modal Logic Approach.

Vineet Padmanabhan, Guido Governatori, Subhasis Thakur

Proceedings of the Intelligent Agents and Multi-Agent Systems, 2008

2007

An Asymmetric Protocol for Argumentation Games in Defeasible Logic.

Jenny Eriksson Lundström, Guido Governatori, Subhasis Thakur, Vineet Padmanabhan

Proceedings of the Agent Computing and Multi-Agent Systems, 2007

Dialogue Games in Defeasible Logic.

Subhasis Thakur, Guido Governatori, Vineet Padmanabhan, Jenny Eriksson Lundström

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

On Constructing Fibred Tableaux for BDI Logics.

Vineet Padmanabhan, Guido Governatori

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Rule-Based Agents in Temporalised Defeasible Logic.

Guido Governatori, Vineet Padmanabhan, Antonino Rotolo

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

A Fibred Tableau Calculus for Modal Logics of Agents.

Vineet Padmanabhan, Guido Governatori

Proceedings of the Declarative Agent Languages and Technologies IV, 2006

The cost of social agents.

Guido Governatori, Antonino Rotolo, Vineet Padmanabhan

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Process modelling: the deontic way.

Vineet Padmanabhan, Guido Governatori, Shazia Wasim Sadiq, Robert M. Colomb, Antonino Rotolo

Proceedings of the Conceptual Modelling 2006, 2006

Using a temporal constraint network for business process execution.

Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan, Guido Governatori

Proceedings of the Database Technologies 2006, 2006

2005

Observation-based Model for BDI-Agents.

Kaile Su, Abdul Sattar, Kewen Wang, Xiangyu Luo, Guido Governatori, Vineet Padmanabhan

Proceedings of the Proceedings, 2005

2004

Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect".

Hau L. Lee, Vineet Padmanabhan, Seungjin Whang

Manag. Sci., 2004

Information Distortion in a Supply Chain: The Bullwhip Effect.

Hau L. Lee, Vineet Padmanabhan, Seungjin Whang

Manag. Sci., 2004

2003

A Defeasible Logic of Policy-Based Intention.

Guido Governatori, Vineet Padmanabhan

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

On Fibring Semantics for BDI Logics.

Guido Governatori, Vineet Padmanabhan, Abdul Sattar

Proceedings of the Logics in Artificial Intelligence, European Conference, 2002

A Defeasible Logic of Policy-Based Intention.

Guido Governatori, Vineet Padmanabhan, Abdul Sattar

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Actions Made Explicit in BDI.

Vineet Padmanabhan, Guido Governatori, Abdul Sattar

Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000

Temporal Reasoning: A Three Way Analysis.

Vineet Padmanabhan, Abdul Sattar, Arun K. Pujari, Chinmoy Goswami

Proceedings of the Seventh International Workshop on Temporal Representation and Reasoning, 2000