Vikas Kumar

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Collaborative Filtering and Multi-Label Classification with Matrix Factorization pdf

Vikas Kumar, Vikas Kumar, 2019, ArXiv.

Independent Component Analysis: A Review, with Emphasis on Commonly used Algorithms and Contrast Function

Arun K. Pujari, A. K. Pujari, Padmavati Gahan, 2021, Computación y Sistemas.

GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2015, 2015 International Conference on Information Technology (ICIT).

Committee Selection using Attribute Approvals

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2021, AAMAS.

Committee Selection with Attribute Level Preferences pdf

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2019, ArXiv.

Collaborative filtering using multiple binary maximum margin matrix factorizations

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2017, Inf. Sci..

Proximal maximum margin matrix factorization for collaborative filtering

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2017, Pattern Recognit. Lett..

Block based Singular Value Decomposition approach to matrix factorization for recommender systems pdf

Vineet Padmanabhan, Vikas Kumar, Prasad Bhavana, 2019, ArXiv.

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data

Sowmini Devi Veeramachaneni, A. K. Pujari, V. Padmanabhan, 2022, ArXiv.

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data pdf

Vineet Padmanabhan, Sowmini Devi Veeramachaneni, Arun K Pujari, 2021, Inf. Syst..

Multi-label classification using hierarchical embedding

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2018, Expert Syst. Appl..

Group Preserving Label Embedding for Multi-Label Classification

Arun K. Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, 2018, Pattern Recognit..

Debiasing Gender biased Hindi Words with Word-embedding

Arun K. Pujari, Anshul Jain, Ansh Mittal, 2019, Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence.

Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization

Venkateswara Rao Kagita, A. K. Pujari, Vikas Kumar, 2023, ArXiv.

Gradient-Based Swarm Optimization for ICA

Arun K. Pujari, Vikas Kumar, A. K. Pujari, 2018, Advances in Intelligent Systems and Computing.

Cross-domain Recommender Systems via Multimodal Domain Adaptation

Venkateswara Rao Kagita, Vikas Kumar, Ramya Kamani, 2023, ArXiv.

A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation

Arun K. Pujari, Vikas Kumar, Sowmini Devi Veeramachaneni, 2019, Appl. Soft Comput..

Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization

Arun K. Pujari, Vikas Kumar, K. H. Salman, 2016, PRICAI.

Conformal Group Recommender System

Venkateswara Rao Kagita, A. K. Pujari, Rohit Kumar Bondugula, 2023, ArXiv.

Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization

Venkateswara Rao Kagita, A. K. Pujari, Vikas Kumar, 2023, Expert Systems with Applications.

UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations

Venkateswara Rao Kagita, A. K. Pujari, Vikas Kumar, 2023, Knowl. Based Syst..