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Sowmini Devi V.

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▷ joint publications with Arun K. Pujari

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Publications

2023
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Arun K. Pujari, Sowmini Devi Veeramachaneni:
Gradient based Hybridization of PSO. CSAI 2023: 353-360
[i3]
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  - journals/corr/abs-2312-09703
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Arun K. Pujari, Sowmini Devi Veeramachaneni:
Gradient Based Hybridization of PSO. CoRR abs/2312.09703 (2023)
2022
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  - journals/is/VeeramachaneniP22
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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)
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  - journals/corr/abs-2203-13995
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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]
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  - journals/corr/abs-2108-01473
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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)
2019
[j1]
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  - journals/asc/VeeramachaneniP19
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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)
2017
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  - conf/premi/VPP17
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Sowmini Devi V., Vineet Padmanabhan, Arun K. Pujari:
A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI 2017: 77-83
2016
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  - conf/pricai/SalmanP0V16
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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
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  - conf/smc/VKPP14
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Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan:
Collaborative filtering by PSO-based MMMF. SMC 2014: 569-574

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