Shashank Mouli Satapathy
Orcid: 0000-0002-1665-8101
According to our database1,
Shashank Mouli Satapathy
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
HOGWO: a fog inspired optimized load balancing approach using hybridized grey wolf algorithm.
Clust. Comput., December, 2024
Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans.
Sustain. Comput. Informatics Syst., 2024
Expert Syst. Appl., 2024
2023
A customizable framework for multimodal emotion recognition using ensemble of deep neural network models.
Multim. Syst., December, 2023
Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach.
Proceedings of the OITS International Conference on Information Technology, 2023
Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware.
Proceedings of the OITS International Conference on Information Technology, 2023
2021
Community detection in dynamic networks: a comprehensive and comparative review using external and internal criteria.
Int. J. Syst. Assur. Eng. Manag., 2021
Pattern Anal. Appl., 2021
A systematic review and bibliometric analysis of community detection methodologies in dynamic networks.
Int. J. Bus. Inf. Syst., 2021
Proceedings of the Distributed Computing and Internet Technology, 2021
Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021
2020
Mining patterns in open source software using software metrics and neural network models.
Int. J. Syst. Syst. Eng., 2020
2019
Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques.
Proceedings of the 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference), 2019
2018
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
2017
Empirical assessment of machine learning models for agile software development effort estimation using story points.
Innov. Syst. Softw. Eng., 2017
Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications.
Proceedings of the 10th Innovations in Software Engineering Conference, 2017
2016
Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model.
Int. J. Comput. Appl. Technol., 2016
Early stage software effort estimation using random forest technique based on use case points.
IET Softw., 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2014
Class point approach for software effort estimation using stochastic gradient boosting technique.
ACM SIGSOFT Softw. Eng. Notes, 2014
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods.
CoRR, 2014
Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014
Class point approach for software effort estimation using various support vector regression kernel methods.
Proceedings of the 7th India Software Engineering Conference, Chennai, 2014
2013
Proceedings of the International Conference on Advances in Computing, 2013