Vineet Padmanabhan

87 papers A* 1A 2B 9C 1Misc 4Journal 34Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Shallow Transformers with Applications Towards Image and Text Classification. MIWAI (1) Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal, Wilson Naik
2025	J	`jnl`	Temporal Matrix Factorization: A polynomial approach to latent factor estimation. Pattern Recognit. Prasad Bhavana, Vineet Padmanabhan
2024	—	`conf`	Efficient Self-Supervised Contrastive Learning with Representation Mixing. BDA Yash Kumar Sharma, Akshay Badola, Vineet Padmanabhan, Wilson Naik, Abdul Sattar
2024	—	`conf`	Interpretable Visual Semantic Alignment via Spectral Attribution. ICPR (26) Shivanvitha Ambati, Vineet Padmanabhan, Wilson Naik Bhukya, Rajendra Prasad Lal
2024	—	`conf`	Matrix Factorization of Large Scale Data Using Block Based Approach and GPU Acceleration. BDA Prasad Bhavana, Vineet Padmanabhan, Wilson Naik Bhukya
2023	—	`conf`	Content Based Network Representational Learning for Movie Recommendation (CNMovieRec). MIWAI Nageswar Rao Kota, Vineet Padmanabhan, Wilson Naik Bhukya
2023	J	`jnl`	Decomposing the deep: finding class-specific filters in deep CNNs. Neural Comput. Appl. Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal
2023	J	`jnl`	GPU accelerated matrix factorization of large scale data using block based approach. CoRR Prasad Bhavana, Vineet Padmanabhan
2023	—	`conf`	Re-examining Class Selectivity in Deep Convolutional Networks. MIWAI Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal
2022	J	`jnl`	A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data. Inf. Syst. Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2022	J	`jnl`	Inductive conformal recommender system. Knowl. Based Syst. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2022	Misc	`conf`	Systematic Monotonicity and Consistency for Adversarial Natural Language Inference. AI Brahmani Nutakki, Akshay Badola, Vineet Padmanabhan
2022	J	`jnl`	Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. CoRR Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2021	J	`jnl`	A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. CoRR Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2021	A	`conf`	Committee Selection using Attribute Approvals. AAMAS Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar
2021	J	`jnl`	Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs. CoRR Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal
2021	J	`jnl`	Inductive Conformal Recommender System. CoRR Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2021	J	`jnl`	Matrix factorization of large scale data using multistage matrix factorization. Appl. Intell. Prasad Bhavana, Vineet Padmanabhan
2021	J	`jnl`	Web Service Interaction Modeling and Verification Using Recursive Composition Algebra. IEEE Trans. Serv. Comput. Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan, Rajkumar Buyya
2019	J	`jnl`	A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation. Appl. Soft Comput. Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2019	—	`conf`	BMF: Matrix Factorization of Large Scale Data Using Block Based Approach. PRICAI (2) Prasad Bhavana, Vineet Padmanabhan
2019	J	`jnl`	Block based Singular Value Decomposition approach to matrix factorization for recommender systems. CoRR Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
2019	J	`jnl`	Committee Selection with Attribute Level Preferences. CoRR Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2019	J	`jnl`	Discovery of user-item subgroups via genetic algorithm for effective prediction of ratings in collaborative filtering. Appl. Intell. Ayangleima Laishram, Vineet Padmanabhan
2019	—	`conf`	Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means. Canadian AI Ayangleima Laishram, Vineet Padmanabhan
2019	J	`jnl`	Group preserving label embedding for multi-label classification. Pattern Recognit. Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
2019	J	`jnl`	Skyline recommendation with uncertain preferences. Pattern Recognit. Lett. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2018	Misc	`conf`	BDI Based Performance Enhancement in DNSSEC. ICDCIT Kollapalli Ramesh Babu, Vineet Padmanabhan
2018	J	`jnl`	Conformal matrix factorization based recommender system. Inf. Sci. Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari
2018	J	`jnl`	Group Preserving Label Embedding for Multi-Label Classification. CoRR Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
2018	J	`jnl`	Multi-cell LSTM Based Neural Language Model. CoRR Thomas Cherian, Akshay Badola, Vineet Padmanabhan
2018	J	`jnl`	Multi-label classification using hierarchical embedding. Expert Syst. Appl. Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita
2017	—	`conf`	A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI Sowmini Devi V., Vineet Padmanabhan, Arun K. Pujari
2017	J	`jnl`	Bounds on skyline probability for databases with uncertain preferences. Int. J. Approx. Reason. Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
2017	J	`jnl`	Collaborative filtering using multiple binary maximum margin matrix factorizations. Inf. Sci. Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
2017	J	`jnl`	Conformal recommender system. Inf. Sci. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar
2017	—	`conf`	Divide and Transfer: Understanding Latent Factors for Recommendation Tasks. RecSysKTL Vidyadhar Rao, Rosni K. Vasu, Vineet Padmanabhan
2017	J	`jnl`	Proximal maximum margin matrix factorization for collaborative filtering. Pattern Recognit. Lett. Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
2016	—	`conf`	Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus Unveiled. ICONIP (3) Ayangleima Laishram, Satya Prakash Sahu, Vineet Padmanabhan, Siba Kumar Udgata
2016	B	`conf`	Prediction with Confidence in Item Based Collaborative Filtering. PRICAI Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar
2016	B	`conf`	Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. PRICAI Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu
2015	—	`conf`	A Novel Social-Choice Strategy for Group Modeling in Recommender Systems. ICIT Venkateswara Rao Kagita, Krishna Charan Meka, Vineet Padmanabhan
2015	—	`conf`	Algebraic Modeling and Verification of Web Service Composition. ANT/SEIT Gopal N. Rai, G. R. Gangadharan, Vineet Padmanabhan
2015	—	`conf`	Bi-directional Search for Skyline Probability. CALDAM Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
2015	J	`jnl`	Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
2015	—	`conf`	GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan
2015	—	`conf`	Greedy partitioning based tree structured multiclass SVM for Odia OCR. NCVPRIPG Sandeep Kumar Sahu, Arun K. Pujari, Vikas Kumar, Venkateswara Rao Kagita, Vineet Padmanabhan
2015	—	`conf`	Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques. ICIT Abinash Pujahari, Vineet Padmanabhan
2015	—	`conf`	Learning in Real-Time Strategy Games. ICIT Vineet Padmanabhan, Pranay Goud, Arun K. Pujari, Harshit Sethy
2015	—	`conf`	Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari
2015	—	`conf`	Topic Modelling for Songs. ICIT Nishma Laitonjam, Vineet Padmanabhan, Arun K. Pujari, Rajendra Prasad Lal
2015	J	`jnl`	Virtual user approach for group recommender systems using precedence relations. Inf. Sci. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
2014	—	`conf`	An Approach to Content Based Recommender Systems Using Decision List Based Classification with k-DNF Rule Set. ICIT Abinash Pujahari, Vineet Padmanabhan
2014	B	`conf`	Collaborative filtering by PSO-based MMMF. SMC Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
2014	J	`jnl`	Dynamic classification of ballistic missiles using neural networks and hidden Markov models. Appl. Soft Comput. Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal
2013	B	`conf`	A novel method for training and classification of ballistic and quasi-ballistic missiles in real-time. IJCNN Upendra Kumar Singh, Vineet Padmanabhan, Arun Agarwal
2013	—	`conf`	Group Recommender Systems - Some Experimental Results. ICAART (2) Vineet Padmanabhan, Prabhu Kiran, Abdul Sattar
2013	—	`conf`	Group Recommender Systems: A Virtual User Approach Based on Precedence Mining. Australasian Conference on Artificial Intelligence Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
2013	—	`conf`	Precedence Mining in Group Recommender Systems. PReMI Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari
2013	—	`conf`	Time Series Qlet: Invariant approach for data mining. IC3 Abhishek Anand, Vineet Padmanabhan
2013	—	`conf`	Training and classification of ballistic missiles using Hidden Markov model. IC3 Upendra Kumar Singh, Vineet Padmanabhan
2013	—	`conf`	Training by ART-2 and Classification of Ballistic Missiles Using Hidden Markov Model. PReMI Upendra Kumar Singh, Vineet Padmanabhan
2012	J	`jnl`	Content Contributor Management and Network Effects in a UGC Environment. Mark. Sci. Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard
2011	—	`conf`	A Rule Based Approach to Group Recommender Systems. MIWAI Vineet Padmanabhan, Siva Krishna Seemala, Wilson Naik Bhukya
2011	J	`jnl`	Crisis and Consumption Smoothing. Mark. Sci. Pushan Dutt, Vineet Padmanabhan
2011	—	`conf`	Fibred BDI Logics: Completeness Preservation in the Presence of Interaction Axioms. MIWAI Vineet Padmanabhan, Guido Governatori, Abdul Sattar
2011	—	`conf`	Incorporating Temporal Planning Within a BDI Architecture. IICAI Vineet Padmanabhan, Abdul Sattar, Guido Governatori, Kollapalli Ramesh Babu
2011	—	`conf`	Reasoning about DNSSEC. MIWAI Kollapalli Ramesh Babu, Vineet Padmanabhan, Wilson Naik Bhukya
2009	J	`jnl`	A defeasible logic for modelling policy-based intentions and motivational attitudes. Log. J. IGPL Guido Governatori, Vineet Padmanabhan, Antonino Rotolo, Abdul Sattar
2008	B	`conf`	Knowledge Assessment: A Modal Logic Approach. PRIMA Vineet Padmanabhan, Guido Governatori, Subhasis Thakur
2008	J	`jnl`	Research Note - A Cross-Category Model of Households' Incidence and Quantity Decisions. Mark. Sci. Rakesh Niraj, Vineet Padmanabhan, P. B. Seetharaman
2007	B	`conf`	An Asymmetric Protocol for Argumentation Games in Defeasible Logic. PRIMA Jenny Eriksson Lundström, Guido Governatori, Subhasis Thakur, Vineet Padmanabhan
2007	—	`conf`	Dialogue Games in Defeasible Logic. Australian Conference on Artificial Intelligence Subhasis Thakur, Guido Governatori, Vineet Padmanabhan, Jenny Eriksson Lundström
2006	—	`conf`	A Fibred Tableau Calculus for Modal Logics of Agents. DALT Vineet Padmanabhan, Guido Governatori
2006	B	`conf`	On Constructing Fibred Tableaux for BDI Logics. PRICAI Vineet Padmanabhan, Guido Governatori
2006	Misc	`conf`	Process modelling: the deontic way. APCCM Vineet Padmanabhan, Guido Governatori, Shazia Sadiq, Robert M. Colomb, Antonino Rotolo
2006	B	`conf`	Rule-Based Agents in Temporalised Defeasible Logic. PRICAI Guido Governatori, Vineet Padmanabhan, Antonino Rotolo
2006	A	`conf`	The cost of social agents. AAMAS Guido Governatori, Antonino Rotolo, Vineet Padmanabhan
2006	Misc	`conf`	Using a temporal constraint network for business process execution. ADC Ruopeng Lu, Shazia Sadiq, Vineet Padmanabhan, Guido Governatori
2005	A*	`conf`	Observation-based Model for BDI-Agents. AAAI Kaile Su, Abdul Sattar, Kewen Wang, Xiangyu Luo, Guido Governatori, Vineet Padmanabhan
2004	J	`jnl`	Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect". Manag. Sci. Hau L. Lee, Vineet Padmanabhan, Seungjin Whang
2004	J	`jnl`	Information Distortion in a Supply Chain: The Bullwhip Effect. Manag. Sci. Hau L. Lee, Vineet Padmanabhan, Seungjin Whang
2003	—	`conf`	A Defeasible Logic of Policy-Based Intention. Australian Conference on Artificial Intelligence Guido Governatori, Vineet Padmanabhan
2002	—	`conf`	A Defeasible Logic of Policy-Based Intention. Australian Joint Conference on Artificial Intelligence Guido Governatori, Vineet Padmanabhan, Abdul Sattar
2002	B	`conf`	On Fibring Semantics for BDI Logics. JELIA Guido Governatori, Vineet Padmanabhan, Abdul Sattar
2001	—	`conf`	Actions Made Explicit in BDI. Australian Joint Conference on Artificial Intelligence Vineet Padmanabhan, Guido Governatori, Abdul Sattar
2000	C	`conf`	Temporal Reasoning: A Three Way Analysis. TIME Vineet Padmanabhan, Abdul Sattar, Arun K. Pujari, Chinmoy Goswami