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ORCIDShashank Mouli Satapathy
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2020 – today
- 2024
[j14]Debashreet Das, Sayak Sengupta, Shashank Mouli Satapathy, Deepanshu Saini:
HOGWO: a fog inspired optimized load balancing approach using hybridized grey wolf algorithm. Clust. Comput. 27(9): 13273-13294 (2024)- [j13]Chhavi Dixit
, Shashank Mouli Satapathy:
Deep CNN with late fusion for real time multimodal emotion recognition. Expert Syst. Appl. 240: 122579 (2024) - [j12]Atharva Ramgirkar, Vadiraj Rao, Janhavi Talhar, Tusar Kanti Mishra, Swathi Jamjala Narayanan, Shashank Mouli Satapathy, Boominathan Perumal:
Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans. Sustain. Comput. Informatics Syst. 42: 100980 (2024) - 2023
- [j11]Chhavi Dixit, Shashank Mouli Satapathy:
A customizable framework for multimodal emotion recognition using ensemble of deep neural network models. Multim. Syst. 29(6): 3151-3168 (2023) - [c13]Debashreet Das, Shashank Mouli Satapathy, Ajitha D, Aman Agarwal:
Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. OCIT 2023: 284-289 - [c12]Akshat Garg, Harsh Agrawal, Shashank Mouli Satapathy, Mohammad Umair Khan:
Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach. OCIT 2023: 393-398 - 2021
- [j10]Namika Makhija, Shashank Mouli Satapathy, Ashish Kumar Dwivedi:
A systematic review and bibliometric analysis of community detection methodologies in dynamic networks. Int. J. Bus. Inf. Syst. 38(1): 34-61 (2021) - [j9]Ashish Kumar Dwivedi, Shashank Mouli Satapathy:
Ontology-Based Modelling of IoT Design Patterns. J. Inf. Knowl. Manag. 20(Supplement-1): 2140003:1-2140003:25 (2021) - [j8]Ananya Bal, Meenakshi Das, Shashank Mouli Satapathy, Madhusmita Jena, Subha Kanta Das:
BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images. Pattern Anal. Appl. 24(3): 967-980 (2021) - [j7]Namika Makhija, Shashank Mouli Satapathy:
Community detection in dynamic networks: a comprehensive and comparative review using external and internal criteria. Int. J. Syst. Assur. Eng. Manag. 12(2): 217-230 (2021) - [c11]Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy Neti, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher, Srinivas Padmanabhuni:
Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. SEAA 2021: 379-386 - [c10]Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni:
Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. ICCSA (7) 2021: 398-410 - [c9]Ananya Bal, Meenakshi Das, Shashank Mouli Satapathy, Madhusmita Jena, Subha Kanta Das:
Automated Diagnosis of Breast Cancer with RoI Detection Using YOLO and Heuristics. ICDCIT 2021: 253-267 - 2020
- [j6]Ashish Kumar Dwivedi, Shashank Mouli Satapathy:
Mining patterns in open source software using software metrics and neural network models. Int. J. Syst. Syst. Eng. 10(4) (2020) - [j5]Shashank Mouli Satapathy, Ashish Kumar Dwivedi:
Mining Patterns in Open Source Software using Software Metrics and Neural Network Models. Int. J. Syst. Syst. Eng. 10(4) (2020)
2010 – 2019
- 2019
- [c8]Lov Kumar, Shashank Mouli Satapathy, Lalita Bhanu Murthy Neti:
Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. ISEC 2019: 7:1-7:10 - 2018
- [c7]Ashish Kumar Dwivedi, Santanu Kumar Rath, Shashank Mouli Satapathy, L. Srinivasa Chakravarthy, P. Krishna Subba Rao:
Applying Reverse Engineering Techniques to Analyze Design Patterns in Source Code. ICACCI 2018: 1398-1404 - [c6]Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna:
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) 2018: 150-161 - 2017
- [j4]Shashank Mouli Satapathy, Santanu Kumar Rath:
Empirical assessment of machine learning models for agile software development effort estimation using story points. Innov. Syst. Softw. Eng. 13(2-3): 191-200 (2017) - [c5]Shashank Mouli Satapathy, Santanu Kumar Rath:
Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications. ISEC 2017: 74-84 - 2016
- [j3]Shashank Mouli Satapathy, Barada Prasanna Acharya, Santanu Kumar Rath:
Early stage software effort estimation using random forest technique based on use case points. IET Softw. 10(1): 10-17 (2016) - [j2]Shashank Mouli Satapathy, Mukesh Kumar, Santanu Kumar Rath:
Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model. Int. J. Comput. Appl. Technol. 54(4): 323-333 (2016) - [c4]Shashank Mouli Satapathy, Santanu Kumar Rath:
Effort estimation of web-based applications using machine learning techniques. ICACCI 2016: 973-979 - 2014
- [j1]Shashank Mouli Satapathy, Barada Prasanna Acharya, Santanu Kumar Rath:
Class point approach for software effort estimation using stochastic gradient boosting technique. ACM SIGSOFT Softw. Eng. Notes 39(3): 1-6 (2014) - [c3]Shashank Mouli Satapathy, Santanu Kumar Rath:
Class point approach for software effort estimation using various support vector regression kernel methods. ISEC 2014: 4:1-4:10 - [c2]Shashank Mouli Satapathy, Aditi Panda, Santanu Kumar Rath:
Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods. SEKE 2014: 304-307 - [i1]Shashank Mouli Satapathy, Santanu Kumar Rath:
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods. CoRR abs/1401.3069 (2014) - 2013
- [c1]Shashank Mouli Satapathy, Mukesh Kumar, Santanu Kumar Rath:
Class point approach for software effort estimation using soft computing techniques. ICACCI 2013: 178-183
Coauthor Index
aka: Santanu Ku. Rath
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last updated on 2024-10-10 22:18 CEST by the dblp team
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