Venkateswara Rao Kagita

40 papers A 1B 2Journal 28Unranked 9
YearRankTypeTitle / 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