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Sanjay K. Kuanar

Sanjay Kumar Kuanar

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Journal Articles

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2022
[j6]
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  - journals/ijossp/PanigrahiKK22
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  - https://dblp.org/rec/journals/ijossp/PanigrahiKK22
Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar:
Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection. Int. J. Open Source Softw. Process. 13(1): 1-31 (2022)
2021
[j5]
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Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar:
An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency. Int. J. Open Source Softw. Process. 12(4): 1-18 (2021)
2019
[j4]
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Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy:
Software reusability metrics prediction and cost estimation by using machine learning algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 23(4): 317-328 (2019)
2018
[j3]
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  - journals/tcyb/PandaKC18
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Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection. IEEE Trans. Cybern. 48(3): 836-847 (2018)
2015
[j2]
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  - journals/tmm/KuanarRC15
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Sanjay K. Kuanar, Kunal B. Ranga, Ananda S. Chowdhury:
Multi-View Video Summarization Using Bipartite Matching Constrained Optimum-Path Forest Clustering. IEEE Trans. Multim. 17(8): 1166-1173 (2015)
2013
[j1]
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Sanjay K. Kuanar, Rameswar Panda, Ananda S. Chowdhury:
Video key frame extraction through dynamic Delaunay clustering with a structural constraint. J. Vis. Commun. Image Represent. 24(7): 1212-1227 (2013)

Conference and Workshop Papers

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2022
[c6]
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Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar:
Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique. ICONIP (3) 2022: 194-205
2020
[c5]
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Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar:
An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction. ICONIP (4) 2020: 23-31
2015
[c4]
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Sanjay K. Kuanar, Ananda S. Chowdhury:
Improved delaunay graph based video summarization with semantic features and canonical correlation. ICAPR 2015: 1-6
2014
[c3]
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  - conf/icpr/PandaKC14
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Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Scalable Video Summarization Using Skeleton Graph and Random Walk. ICPR 2014: 3481-3486
2013
[c2]
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  - conf/premi/PandaKC13
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Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Video Key Frame Extraction through Canonical Correlation Analysis and Graph Modularity. PReMI 2013: 410-416
2012
[c1]
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Ananda S. Chowdhury, Sanjay K. Kuanar, Rameswar Panda, Moloy N. Das:
Video storyboard design using Delaunay graphs. ICPR 2012: 3108-3111

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