Dr. Vikas Kumar

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	Wszystkie	Od 2020
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Arun PujariUniversity of HyderabadZweryfikowany adres z uohyd.ac.in
Vineet PadmanabhanProfessor of Computer Science, University of HyderabadZweryfikowany adres z uohyd.ernet.in
venkateswara rao kagitaNIT WarangalZweryfikowany adres z nitw.ac.in
sandeep sahuUniversity of HyderabadZweryfikowany adres z uohyd.ac.in
Veeramachaneni Sowmini DeviMahindra UniversityZweryfikowany adres z mahindrauniversity.edu.in
vasudha bhatnagarProfessor, Deptt of Computer Science, University of Delhi, Delhi, IndiaZweryfikowany adres z cs.du.ac.in
Purnima BindalProfessor of Computer ScienceZweryfikowany adres z cs.du.ac.in
Balaji GanesanIBM ResearchZweryfikowany adres z in.ibm.com
Adamya ShyamResearch Scholar, Department of Computer Science, University of DelhiZweryfikowany adres z cs.du.ac.in
Shamal ShaikhNational Institute of Technology, WarangalZweryfikowany adres z student.nitw.ac.in
Salman K.HResearch Scholar, Artificial Intelligence and Machine Learning, University of HyderabadZweryfikowany adres z uohyd.ac.in
Ashwini SiwalAssociate Professor of Law, Faculty of Law, University of Delhi.Zweryfikowany adres z law.du.ac.in
Haris AzizUNSW SydneyZweryfikowany adres z unsw.edu.au
Dr. Chhabi Rani PanigrahiRama Devi Women's University, Bhubaneswar, IndiaZweryfikowany adres z rdwu.ac.in
Abhishek MajumderDepartment of Computer Science & Engineering, Tripura UniversityZweryfikowany adres z tripurauniv.in
Bibudhendu PatiHead of the Department, Department of Computer Science, Rama Devi Women' University, BhubaneswarZweryfikowany adres z iitkgp.ac.in
Joy lal SarkarICFAI GroupZweryfikowany adres z tripurauniv.in
Pavan Kalyan Reddy NeeruduZweryfikowany adres z student.nitw.ac.in
Sudipto GhoshPhD Student, Indian Institute of Technology DelhiZweryfikowany adres z iitd.ac.in
Dr. Sanjaya Kumar PandaAsst. Prof. (NIT Warangal) Ph. D. (IIT Dhanbad) M. Tech. (NIT Rourkela) B. Tech. (VSSUT Burla)Zweryfikowany adres z nitw.ac.in

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Dr. Vikas Kumar

University of Delhi

Zweryfikowany adres z cs.du.ac.in - Strona główna

Machine Learning Matrix Factorization Collaborative Filtering Multi-label Classification


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	56	2017
Group preserving label embedding for multi-label classification V Kumar, AK Pujari, V Padmanabhan, VR Kagita Pattern Recognition 90, 23-34, 2019	45	2019
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	38	2017
Multi-label classification using hierarchical embedding V Kumar, AK Pujari, V Padmanabhan, SK Sahu, VR Kagita Expert Systems with Applications 91, 263-269, 2018	34	2018
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	31	2019
Conformal recommender system VR Kagita, AK Pujari, V Padmanabhan, SK Sahu, V Kumar Information Sciences 405, 157-174, 2017	20	2017
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	20	2015
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	19	2019
Block based Singular Value Decomposition approach to matrix factorization for recommender systems P Bhavana, V Kumar, V Padmanabhan arXiv:1907.07410, 2019	17	2019
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	12	2022
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	11	2021
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	11	2016
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	8	2021
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	6	2022
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization S Shaikh, VR Kagita, V Kumar, AK Pujari Expert Systems with Applications 238, 121967, 2024	5	2024
Gradient-based swarm optimization for ICA R Pati, V Kumar, AK Pujari Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2019	5	2019
Citation-based summarization of landmark judgments P Bindal, V Kumar, V Bhatnagar, P Sirohi, A Siwal arXiv preprint arXiv:2406.10824, 2024	4	2024
Inductive conformal recommender system VR Kagita, AK Pujari, V Padmanabhan, V Kumar Knowledge-Based Systems 250, 109108, 2022	4	2022
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	4	2016
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	4	2015

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