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Sowmini Devi V.
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Journal Articles
- 2022
- [j2]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: 102002 (2022) - 2019
- [j1]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)
Conference and Workshop Papers
- 2023
- [c4]Arun K. Pujari
, Sowmini Devi Veeramachaneni
:
Gradient based Hybridization of PSO. CSAI 2023: 353-360 - 2017
- [c3]Sowmini Devi V.
, Vineet Padmanabhan
, Arun K. Pujari
:
A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI 2017: 77-83 - 2016
- [c2]K. H. Salman, Arun K. Pujari, Vikas Kumar
, Sowmini Devi Veeramachaneni
:
Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization. PRICAI 2016: 167-179 - 2014
- [c1]Sowmini Devi V.
, Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
:
Collaborative filtering by PSO-based MMMF. SMC 2014: 569-574
Informal and Other Publications
- 2023
- [i3]Arun K. Pujari, Sowmini Devi Veeramachaneni:
Gradient Based Hybridization of PSO. CoRR abs/2312.09703 (2023) - 2022
- [i2]Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. CoRR abs/2203.13995 (2022) - 2021
- [i1]Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. CoRR abs/2108.01473 (2021)
Coauthor Index
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