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
352017
Multi-label classification using hierarchical embedding
V Kumar, AK Pujari, V Padmanabhan, SK Sahu, VR Kagita
Expert Systems with Applications 91, 263-269, 2018
192018
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
192017
Group preserving label embedding for multi-label classification
V Kumar, AK Pujari, V Padmanabhan, VR Kagita
Pattern Recognition 90, 23-34, 2019
142019
Conformal recommender system
VR Kagita, AK Pujari, V Padmanabhan, SK Sahu, V Kumar
Information Sciences 405, 157-174, 2017
72017
Block based Singular Value Decomposition approach to matrix factorization for recommender systems
P Bhavana, V Kumar, V Padmanabhan
arXiv:1907.07410, 2019
62019
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
62015
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
52019
Gradient-based swarm optimization for ICA
R Pati, V Kumar, AK Pujari
Progress in Advanced Computing and Intelligent Engineering, 225-235, 2019
42019
Combining swarm with gradient search for maximum margin matrix factorization
KH Salman, AK Pujari, V Kumar, SD Veeramachaneni
Pacific Rim International Conference on Artificial Intelligence, 167-179, 2016
42016
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
32016
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
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
22019
Skyline recommendation with uncertain preferences
VR Kagita, AK Pujari, V Padmanabhan, V Kumar
Pattern Recognition Letters 125, 446-452, 2019
12019
Committee Selection with Attribute Level Preferences
VR Kagita, AK Pujari, V Padmanabhan, V Kumar
arXiv:1901.10064, 2019
12019
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
2021
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
2021
Collaborative Filtering and Multi-Label Classification with Matrix Factorization
V Kumar
University of Hyderabad, 2019
2019
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Articles 1–18