Vineet Padmanabhan

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 36

Top Topics

Matrix Factorization

Collaborative Filtering

Top Venues

Publications

Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal
Re-examining Class Selectivity in Deep Convolutional Networks. MIWAI (2023)
Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal
Decomposing the deep: finding class-specific filters in deep CNNs. Neural Comput. Appl. 35 (18) (2023)
Nageswar Rao Kota, Vineet Padmanabhan, Wilson Naik Bhukya
Content Based Network Representational Learning for Movie Recommendation (CNMovieRec). MIWAI (2023)
Prasad Bhavana, Vineet Padmanabhan
GPU accelerated matrix factorization of large scale data using block based approach. CoRR (2023)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data. Inf. Syst. 107 (2022)
Brahmani Nutakki, Akshay Badola, Vineet Padmanabhan
Systematic Monotonicity and Consistency for Adversarial Natural Language Inference. AI (2022)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Inductive conformal recommender system. Knowl. Based Syst. 250 (2022)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. CoRR (2022)
Prasad Bhavana, Vineet Padmanabhan
Matrix factorization of large scale data using multistage matrix factorization. Appl. Intell. 51 (6) (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar
Committee Selection using Attribute Approvals. AAMAS (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Inductive Conformal Recommender System. CoRR (2021)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. CoRR (2021)
Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan, Rajkumar Buyya
Web Service Interaction Modeling and Verification Using Recursive Composition Algebra. IEEE Trans. Serv. Comput. 14 (1) (2021)
Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal
Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs. CoRR (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Skyline recommendation with uncertain preferences. Pattern Recognit. Lett. 125 (2019)
Ayangleima Laishram, Vineet Padmanabhan
Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means. Canadian Conference on AI (2019)
Prasad Bhavana, Vineet Padmanabhan
BMF: Matrix Factorization of Large Scale Data Using Block Based Approach. PRICAI (2) (2019)
Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
Block based Singular Value Decomposition approach to matrix factorization for recommender systems. CoRR (2019)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Group preserving label embedding for multi-label classification. Pattern Recognit. 90 (2019)
Ayangleima Laishram, Vineet Padmanabhan
Discovery of user-item subgroups via genetic algorithm for effective prediction of ratings in collaborative filtering. Appl. Intell. 49 (11) (2019)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation. Appl. Soft Comput. 85 (2019)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Committee Selection with Attribute Level Preferences. CoRR (2019)
Thomas Cherian, Akshay Badola, Vineet Padmanabhan
Multi-cell LSTM Based Neural Language Model. CoRR (2018)
Kollapalli Ramesh Babu, Vineet Padmanabhan
BDI Based Performance Enhancement in DNSSEC. ICDCIT (2018)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita
Multi-label classification using hierarchical embedding. Expert Syst. Appl. 91 (2018)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Group Preserving Label Embedding for Multi-Label Classification. CoRR (2018)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari
Conformal matrix factorization based recommender system. Inf. Sci. 467 (2018)
Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
Collaborative filtering using multiple binary maximum margin matrix factorizations. Inf. Sci. 380 (2017)
Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
Proximal maximum margin matrix factorization for collaborative filtering. Pattern Recognit. Lett. 86 (2017)
Vidyadhar Rao, Rosni K. V, Vineet Padmanabhan
Divide and Transfer: Understanding Latent Factors for Recommendation Tasks. RecSysKTL (2017)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar
Conformal recommender system. Inf. Sci. 405 (2017)
Sowmini Devi V., Vineet Padmanabhan, Arun K. Pujari
A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI (2017)
Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Bounds on skyline probability for databases with uncertain preferences. Int. J. Approx. Reason. 80 (2017)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu
Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. PRICAI (2016)
Ayangleima Laishram, Satya Prakash Sahu, Vineet Padmanabhan, Siba Kumar Udgata
Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus Unveiled. ICONIP (3) (2016)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar
Prediction with Confidence in Item Based Collaborative Filtering. PRICAI (2016)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Virtual user approach for group recommender systems using precedence relations. Inf. Sci. 294 (2015)
Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
Bi-directional Search for Skyline Probability. CALDAM (2015)
Nishma Laitonjam, Vineet Padmanabhan, Arun K. Pujari, Rajendra Prasad Lal
Topic Modelling for Songs. ICIT (2015)
Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan
Algebraic Modeling and Verification of Web Service Composition. ANT/SEIT (2015)
Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan
GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT (2015)
Vineet Padmanabhan, Pranay Goud, Arun K. Pujari, Harshit Sethy
Learning in Real-Time Strategy Games. ICIT (2015)
Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. 324 (2015)
Abinash Pujahari, Vineet Padmanabhan
Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques. ICIT (2015)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari
Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR (2015)
Sandeep Kumar Sahu, Arun K. Pujari, Vikas Kumar, Venkateswara Rao Kagita, Vineet Padmanabhan
Greedy partitioning based tree structured multiclass SVM for Odia OCR. NCVPRIPG (2015)
Venkateswara Rao Kagita, Krishna Charan Meka, Vineet Padmanabhan
A Novel Social-Choice Strategy for Group Modeling in Recommender Systems. ICIT (2015)
Abinash Pujahari, Vineet Padmanabhan
An Approach to Content Based Recommender Systems Using Decision List Based Classification with k-DNF Rule Set. ICIT (2014)
Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal
Dynamic classification of ballistic missiles using neural networks and hidden Markov models. Appl. Soft Comput. 19 (2014)
Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Collaborative filtering by PSO-based MMMF. SMC (2014)
Upendra Kumar Singh, Vineet Padmanabhan
Training by ART-2 and Classification of Ballistic Missiles Using Hidden Markov Model. PReMI (2013)
Vineet Padmanabhan, Prabhu Kiran, Abdul Sattar
Group Recommender Systems - Some Experimental Results. ICAART (2) (2013)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Group Recommender Systems: A Virtual User Approach Based on Precedence Mining. Australasian Conference on Artificial Intelligence (2013)
Abhishek Anand, Vineet Padmanabhan
Time Series Qlet: Invariant approach for data mining. IC3 (2013)
Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari
Precedence Mining in Group Recommender Systems. PReMI (2013)
Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal
A novel method for training and classification of ballistic and quasi-ballistic missiles in real-time. IJCNN (2013)
Upendra Kumar Singh, Vineet Padmanabhan
Training and classification of ballistic missiles using Hidden Markov model. IC3 (2013)
Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard
Content Contributor Management and Network Effects in a UGC Environment. Mark. Sci. 31 (3) (2012)
Kollapalli Ramesh Babu, Vineet Padmanabhan, Wilson Naik Bhukya
Reasoning about DNSSEC. MIWAI (2011)
Vineet Padmanabhan, Guido Governatori, Abdul Sattar
Fibred BDI Logics: Completeness Preservation in the Presence of Interaction Axioms. MIWAI (2011)
Vineet Padmanabhan, Siva Krishna Seemala, Wilson Naik Bhukya
A Rule Based Approach to Group Recommender Systems. MIWAI (2011)
Vineet Padmanabhan, Abdul Sattar, Guido Governatori, Kollapalli Ramesh Babu
Incorporating Temporal Planning Within a BDI Architecture. IICAI (2011)
Pushan Dutt, Vineet Padmanabhan
Crisis and Consumption Smoothing. Mark. Sci. 30 (3) (2011)
Guido Governatori, Vineet Padmanabhan, Antonino Rotolo, Abdul Sattar
A defeasible logic for modelling policy-based intentions and motivational attitudes. Log. J. IGPL 17 (3) (2009)
Rakesh Niraj, Vineet Padmanabhan, P. B. Seetharaman
Research Note - A Cross-Category Model of Households' Incidence and Quantity Decisions. Mark. Sci. 27 (2) (2008)
Vineet Padmanabhan, Guido Governatori, Subhasis Thakur
Knowledge Assessment: A Modal Logic Approach. PRIMA (2008)
Jenny Eriksson Lundström, Guido Governatori, Subhasis Thakur, Vineet Padmanabhan
An Asymmetric Protocol for Argumentation Games in Defeasible Logic. PRIMA (2007)
Subhasis Thakur, Guido Governatori, Vineet Padmanabhan, Jenny Eriksson Lundström
Dialogue Games in Defeasible Logic. Australian Conference on Artificial Intelligence (2007)
Vineet Padmanabhan, Guido Governatori, Shazia Wasim Sadiq, Robert M. Colomb, Antonino Rotolo
Process modelling: the deontic way. APCCM (2006)
Guido Governatori, Antonino Rotolo, Vineet Padmanabhan
The cost of social agents. AAMAS (2006)
Vineet Padmanabhan, Guido Governatori
On Constructing Fibred Tableaux for BDI Logics. PRICAI (2006)
Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan, Guido Governatori
Using a temporal constraint network for business process execution. ADC (2006)
Guido Governatori, Vineet Padmanabhan, Antonino Rotolo
Rule-Based Agents in Temporalised Defeasible Logic. PRICAI (2006)
Vineet Padmanabhan, Guido Governatori
A Fibred Tableau Calculus for Modal Logics of Agents. DALT (2006)
Kaile Su, Abdul Sattar, Kewen Wang, Xiangyu Luo, Guido Governatori, Vineet Padmanabhan
Observation-based Model for BDI-Agents. AAAI (2005)
Hau L. Lee, Vineet Padmanabhan, Seungjin Whang
Information Distortion in a Supply Chain: The Bullwhip Effect. Manag. Sci. 50 (12-Supplement) (2004)
Hau L. Lee, Vineet Padmanabhan, Seungjin Whang
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect". Manag. Sci. 50 (12-Supplement) (2004)
Guido Governatori, Vineet Padmanabhan
A Defeasible Logic of Policy-Based Intention. Australian Conference on Artificial Intelligence (2003)
Guido Governatori, Vineet Padmanabhan, Abdul Sattar
A Defeasible Logic of Policy-Based Intention. Australian Joint Conference on Artificial Intelligence (2002)
Guido Governatori, Vineet Padmanabhan, Abdul Sattar
On Fibring Semantics for BDI Logics. JELIA (2002)
Vineet Padmanabhan, Guido Governatori, Abdul Sattar
Actions Made Explicit in BDI. Australian Joint Conference on Artificial Intelligence (2001)
Vineet Padmanabhan, Abdul Sattar, Arun K. Pujari, Chinmoy Goswami
Temporal Reasoning: A Three Way Analysis. TIME (2000)