Sanjay K. Kuanar

According to our database1, Sanjay K. Kuanar authored at least 12 papers between 2012 and 2022.

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Bibliography

2022
Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection.
Int. J. Open Source Softw. Process., 2022

Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency.
Int. J. Open Source Softw. Process., 2021

2020
An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Software reusability metrics prediction and cost estimation by using machine learning algorithms.
Int. J. Knowl. Based Intell. Eng. Syst., 2019

2018
Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection.
IEEE Trans. Cybern., 2018

2015
Multi-View Video Summarization Using Bipartite Matching Constrained Optimum-Path Forest Clustering.
IEEE Trans. Multim., 2015

Improved delaunay graph based video summarization with semantic features and canonical correlation.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014
Scalable Video Summarization Using Skeleton Graph and Random Walk.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Video key frame extraction through dynamic Delaunay clustering with a structural constraint.
J. Vis. Commun. Image Represent., 2013

Video Key Frame Extraction through Canonical Correlation Analysis and Graph Modularity.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012
Video storyboard design using Delaunay graphs.
Proceedings of the 21st International Conference on Pattern Recognition, 2012


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