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Dr. Vikas Kumar
Title
Cited by
Cited by
Year
Collaborative filtering using multiple binary maximum margin matrix factorizations
V Kumar, AK Pujari, SK Sahu, VR Kagita, V Padmanabhan
Information Sciences 380, 1-11, 2017
532017
Group preserving label embedding for multi-label classification
V Kumar, AK Pujari, V Padmanabhan, VR Kagita
Pattern Recognition 90, 23-34, 2019
392019
Proximal maximum margin matrix factorization for collaborative filtering
V Kumar, AK Pujari, SK Sahu, VR Kagita, V Padmanabhan
Pattern Recognition Letters 86, 62-67, 2017
332017
Multi-label classification using hierarchical embedding
V Kumar, AK Pujari, V Padmanabhan, SK Sahu, VR Kagita
Expert Systems with Applications 91, 263-269, 2018
312018
Debiasing Gender Biased Hindi Words with Word-Embedding
AK Pujari, A Mittal, A Padhi, A Jain, M Jadon, V Kumar
2nd International Conference on Algorithms, Computing and Artificial …, 2019
302019
GP-SVM: Tree structured multiclass SVM with greedy partitioning
SK Sahu, AK Pujari, VR Kagita, V Kumar, V Padmanabhan
2015 International Conference on Information Technology (ICIT), 142-147, 2015
202015
Block based Singular Value Decomposition approach to matrix factorization for recommender systems
P Bhavana, V Kumar, V Padmanabhan
arXiv:1907.07410, 2019
162019
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
152019
Conformal recommender system
VR Kagita, AK Pujari, V Padmanabhan, SK Sahu, V Kumar
Information Sciences 405, 157-174, 2017
152017
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
122016
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
102022
Committee selection using attribute approvals
VR Kagita, AK Pujari, V Padmanabhan, H Aziz, V Kumar
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
82021
Gradient-based swarm optimization for ICA
R Pati, V Kumar, AK Pujari
Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2019
52019
Independent Component Analysis: A Review, with Emphasis on Commonly used Algorithms and Contrast Function
R Pati, AK Pujari, P Gahan, V Kumar
Computación y Sistemas 25 (1), 97–115, 2021
42021
Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences
VR Kagita, AK Pujari, V Padmanabhan, V Kumar, SK Sahu
Pacific Rim International Conference on Artificial Intelligence, 193-205, 2016
42016
MERIT: multi-itinerary tourist recommendation engine for industrial internet of things
A Majumder, JL Sarkar, B Pati, CR Panigrahi, V Ramasamy, S Roy, ...
IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022
32022
Collaborative Filtering and Multi-Label Classification with Matrix Factorization
V Kumar
University of Hyderabad, 2019
32019
Greedy partitioning based tree structured multiclass SVM for Odia OCR
SK Sahu, AK Pujari, V Kumar, VR Kagita, V Padmanabhan
2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015
32015
Inductive conformal recommender system
VR Kagita, AK Pujari, V Padmanabhan, V Kumar
Knowledge-Based Systems 250, 109108, 2022
22022
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
22022
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