| Collaborative filtering by PSO-based MMMF VS Devi, VR Kagita, AK Pujari, V Padmanabhan Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on …, 2014 | 16 | 2014 |
| A maximum margin matrix factorization based transfer learning approach for cross-domain recommendation SD Veeramachaneni, AK Pujari, V Padmanabhan, V Kumar Applied Soft Computing 85, 105751, 2019 | 15 | 2019 |
| Combining swarm with gradient search for maximum margin matrix factorization KH Salman, AK Pujari, V Kumar, SD Veeramachaneni PRICAI 2016: Trends in Artificial Intelligence: 14th Pacific Rim …, 2016 | 12 | 2016 |
| A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data SD Veeramachaneni, AK Pujari, V Padmanabhan, V Kumar Information Systems 107, 102002, 2022 | 10 | 2022 |
| A matrix factorization & clustering based approach for transfer learning V Sowmini Devi, V Padmanabhan, AK Pujari International Conference on Pattern Recognition and Machine Intelligence, 77-83, 2017 | 3 | 2017 |
| Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data SD Veeramachaneni, AK Pujari, V Padmanabhan, V Kumar arXiv preprint arXiv:2203.13995, 2022 | 2 | 2022 |
| Gradient Based Hybridization of PSO AK Pujari, SD Veeramachaneni arXiv preprint arXiv:2312.09703, 2023 | | 2023 |
Arun PujariUniversity of HyderabadVerified email at uohyd.ac.in
