Venkateswara Rao Kagita

40 papers A 1B 2Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DReX: An Explainable Deep Learning-based Multimodal Recommendation Framework. CoRR Adamya Shyam, Venkateswara Rao Kagita, Bharti Rana, Vikas Kumar
2026	J	`jnl`	GrIT: Group Informed Transformer for Sequential Recommendation. CoRR Adamya Shyam, Venkateswara Rao Kagita, Bharti Rana, Vikas Kumar
2025	J	`jnl`	Cross-domain recommender systems via multimodal domain adaptation. Comput. Electr. Eng. Adamya Shyam, Ramya Kamani, Venkateswara Rao Kagita, Vikas Kumar
2025	J	`jnl`	Geometric Preference Elicitation for Minimax Regret Optimization in Uncertainty Matroids. CoRR Aditya Sai Ellendula, Arun K. Pujari, Vikas Kumar, Venkateswara Rao Kagita
2025	J	`jnl`	Social Welfare Maximization in Approval-Based Committee Voting under Uncertainty. CoRR Haris Aziz, Yuhang Guo, Venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki
2024	J	`jnl`	Approval-Based Committee Voting under Uncertainty. CoRR Haris Aziz, Venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki
2024	J	`jnl`	Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization. Expert Syst. Appl. Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
2024	J	`jnl`	UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations. Knowl. Based Syst. Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
2024	—	`conf`	gCDR: A Group Aided Cross-Domain Recommendation Framework. BDA Adamya Shyam, Kavita Kanwar, Vikas Kumar, Venkateswara Rao Kagita
2023	J	`jnl`	Conformal Group Recommender System. CoRR Venkateswara Rao Kagita, Anshuman Singh, Vikas Kumar, Pavan Kalyan Reddy Neerudu, Arun K. Pujari, Rohit Kumar Bondugula
2023	J	`jnl`	Cross-domain Recommender Systems via Multimodal Domain Adaptation. CoRR Ramya Kamani, Vikas Kumar, Venkateswara Rao Kagita
2023	J	`jnl`	Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization. CoRR Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
2023	J	`jnl`	High-performance computing for static security assessment of large power systems. Connect. Sci. Venkateswara Rao Kagita, Sanjaya Kumar Panda, Ram Krishan, P. Deepak Reddy, Jabba Aswanth
2023	—	`conf`	On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
2023	J	`jnl`	On Robustness of Finetuned Transformer-based NLP Models. CoRR Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
2023	J	`jnl`	UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations. CoRR Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
2022	J	`jnl`	Inductive conformal recommender system. Knowl. Based Syst. Venkateswara Rao Kagita, 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`	Efficient Computation of Top-K Skyline Objects in Data Set With Uncertain Preferences. Int. J. Data Warehous. Min. Nitesh Sukhwani, Venkateswara Rao Kagita, Vikas Kumar, Sanjaya Kumar Panda
2021	J	`jnl`	Inductive Conformal Recommender System. CoRR Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
2019	J	`jnl`	Committee Selection with Attribute Level Preferences. CoRR Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
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	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-label classification using hierarchical embedding. Expert Syst. Appl. Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita
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	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	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`	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`	Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari
2015	J	`jnl`	Virtual user approach for group recommender systems using precedence relations. Inf. Sci. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
2014	B	`conf`	Collaborative filtering by PSO-based MMMF. SMC Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
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