Venkateswara Rao Kagita

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 24

Top Topics

Collaborative Filtering

Maximum Margin Matrix Factorization

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations. Knowl. Based Syst. 289 (2024)
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization. Expert Syst. Appl. 238 (Part B) (2024)
Hariz Aziz, Venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki
Approval-Based Committee Voting under Uncertainty. CoRR (2024)
Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations. CoRR (2023)
Venkateswara Rao Kagita, Sanjaya Kumar Panda, Ram Krishan, P. Deepak Reddy, Jabba Aswanth
High-performance computing for static security assessment of large power systems. Connect. Sci. 35 (1) (2023)
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization. CoRR (2023)
Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
On Robustness of Finetuned Transformer-based NLP Models. CoRR (2023)
Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta 001
On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) (2023)
Ramya Kamani, Vikas Kumar, Venkateswara Rao Kagita
Cross-domain Recommender Systems via Multimodal Domain Adaptation. CoRR (2023)
Venkateswara Rao Kagita, Anshuman Singh, Vikas Kumar, Pavan Kalyan Reddy Neerudu, Arun K. Pujari, Rohit Kumar Bondugula
Conformal Group Recommender System. CoRR (2023)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Inductive conformal recommender system. Knowl. Based Syst. 250 (2022)
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)
Nitesh Sukhwani, Venkateswara Rao Kagita, Vikas Kumar, Sanjaya Kumar Panda
Efficient Computation of Top-K Skyline Objects in Data Set With Uncertain Preferences. Int. J. Data Warehous. Min. 17 (3) (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Skyline recommendation with uncertain preferences. Pattern Recognit. Lett. 125 (2019)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Group preserving label embedding for multi-label classification. Pattern Recognit. 90 (2019)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Committee Selection with Attribute Level Preferences. CoRR (2019)
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)
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)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar
Conformal recommender system. Inf. Sci. 405 (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)
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)
Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan
GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT (2015)
Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. 324 (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)
Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Collaborative filtering by PSO-based MMMF. SMC (2014)
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)
Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari
Precedence Mining in Group Recommender Systems. PReMI (2013)