Vikas Kumar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Recommender Systems

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)
Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar, Parikshet Sirohi, Ashwini Siwal
Citation-Based Summarization of Landmark Judgments. CoRR (2024)
Kinshuk Vasisht, Balaji Ganesan, Vikas Kumar, Vasudha Bhatnagar
Infusing Knowledge into Large Language Models with Contextual Prompts. CoRR (2024)
Sudipto Ghosh, Devanshu Verma, Balaji Ganesan, Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar
Human Centered AI for Indian Legal Text Analytics. 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)
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)
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)
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)
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)
Rasmikanta Pati, Arun K. Pujari, Padmavati Gahan, Vikas Kumar
Independent Component Analysis: A Review, with Emphasis on Commonly used Algorithms and Contrast Function. Computación y Sistemas 25 (1) (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)
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)
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)
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)
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)
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)
K. H. Salman, Arun K. Pujari, Vikas Kumar, Sowmini Devi Veeramachaneni
Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization. PRICAI (2016)
Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan
GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT (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)