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ORCIDE. Sivasankar
Person information
- affiliation: National Institute of Technology, Department of Computer Science and Engineering, Tiruchirappalli, India
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2020 – today
- 2024
[j27]Rani Koshy
, Sivasankar Elango:
Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets. Appl. Intell. 54(7): 5768-5793 (2024)- [j26]Rani Koshy, Sivasankar Elango:
Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management. Multim. Tools Appl. 83(14): 41405-41439 (2024) - 2023
- [j25]Balasubramanian Palani, Sivasankar Elango:
BBC-FND: An ensemble of deep learning framework for textual fake news detection. Comput. Electr. Eng. 110: 108866 (2023) - [j24]Harine Rajashree, K. Sundarakantham, E. Sivasankar, Mercy Shalinie Selvaraj:
A hybrid deep learning framework for privacy preservation in edge computing. Comput. Secur. 129: 103209 (2023) - [j23]K. Krishnakumari, E. Sivasankar:
Aspect-based summarisation in the big data environment. Int. J. Adv. Intell. Paradigms 25(1/2): 68-83 (2023) - [j22]Rani Koshy, Sivasankar Elango:
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model. Neural Comput. Appl. 35(2): 1607-1627 (2023) - [j21]Balasubramanian Palani, Sivasankar Elango:
CTrL-FND: content-based transfer learning approach for fake news detection on social media. Int. J. Syst. Assur. Eng. Manag. 14(3): 903-918 (2023) - 2022
- [j20]Balasubramanian Palani, Sivasankar Elango, Vignesh Viswanathan K:
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT. Multim. Tools Appl. 81(4): 5587-5620 (2022) - [j19]Divakaran Adwaith, Ashok Kumar Abishake, Siva Venkatesh Raghul, Elango Sivasankar:
Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks. Multim. Tools Appl. 81(13): 18483-18501 (2022) - 2021
- [j18]E. Sivasankar, A. Sathish Kumar, J. Sanjivi, P. Balasubramanian:
Analysis and prediction of breast cancer through feature selection and classification techniques. Int. J. Medical Eng. Informatics 13(5): 359-375 (2021) - [j17]E. Sivasankar, K. Krishnakumari, P. Balasubramanian:
An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA). Soft Comput. 25(5): 3697-3711 (2021) - 2020
- [j16]Avinash Madasu, Sivasankar Elango:
Efficient feature selection techniques for sentiment analysis. Multim. Tools Appl. 79(9-10): 6313-6335 (2020) - [j15]K. Krishnakumari, E. Sivasankar, Sam Radhakrishnan:
Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC). Soft Comput. 24(5): 3511-3527 (2020) - [j14]E. Sivasankar, C. Selvi, S. Mahalakshmi:
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method. Soft Comput. 24(6): 3975-3988 (2020)
2010 – 2019
- 2019
- [j13]J. Vijaya, E. Sivasankar:
An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing. Clust. Comput. 22(5): 10757-10768 (2019) - [j12]E. Sivasankar, J. Vijaya:
A study of feature selection techniques for predicting customer retention in telecommunication sector. Int. J. Bus. Inf. Syst. 31(1): 1-26 (2019) - [j11]E. Sivasankar, R. Pradeep, S. Sivanandham:
Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms. Int. J. Medical Eng. Informatics 11(4): 368-385 (2019) - [j10]C. Selvi, E. Sivasankar:
A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach. Multim. Tools Appl. 78(11): 14303-14330 (2019) - [j9]E. Sivasankar, J. Vijaya:
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network. Neural Comput. Appl. 31(11): 7181-7200 (2019) - [j8]C. Selvi, E. Sivasankar:
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach. Soft Comput. 23(6): 1901-1916 (2019) - [i3]Avinash Madasu, Sivasankar Elango:
A Study of Feature Extraction techniques for Sentiment Analysis. CoRR abs/1906.01573 (2019) - [i2]Avinash Madasu, Sivasankar Elango:
Efficient Feature Selection techniques for Sentiment Analysis. CoRR abs/1911.00288 (2019) - 2018
- [j7]J. Vijaya, E. Sivasankar:
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector. Computing 100(8): 839-860 (2018) - [c4]C. Selvi, E. Sivasankar:
An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context. WIR 2018: 215-228 - [i1]Sudharshan Chandra Babu, Shishira R. Maiya, Sivasankar Elango:
Relation Networks for Optic Disc and Fovea Localization in Retinal Images. CoRR abs/1812.00883 (2018) - 2017
- [j6]Nithya Balasubramanian, C. Mala, E. Sivasankar:
Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks. Soft Comput. 21(8): 1991-2004 (2017) - 2014
- [c3]P. Vignesh Raja, E. Sivasankar:
Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop. ICT-EurAsia 2014: 348-355 - [c2]M. Sridevi, C. Mala, E. Sivasankar, Ilsun You:
Optimized Multilevel Threshold Selection Using Evolutionary Computing. NBiS 2014: 149-156 - [c1]Nithya Balasubramanian, C. Mala, E. Sivasankar:
A Novel Cross Layer Approach to Enhance QoS Performance in Multihop Adhoc Networks. NBiS 2014: 229-236 - 2013
- [j5]Siva Brahmasani, E. Sivasankar:
Two level verification for detection of DNS rebinding attacks. Int. J. Syst. Assur. Eng. Manag. 4(2): 138-145 (2013) - 2012
- [j4]Siva Brahmasani, Subramanian Selvakumar, E. Sivasankar:
Prevention of XSS attacks using STCD: server side tagging and client side differentiation. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-9 (2012) - 2011
- [j3]E. Sivasankar, H. Sridhar, V. Balakrishnan, K. Ashwin, R. S. Rajesh:
Comparison of Dimensionality Reduction Techniques Using a Backpropagation Neural Network Based Classifier. Int. J. Inf. Acquis. 8(2): 161-169 (2011) - [j2]E. Sivasankar, R. S. Rajesh, S. R. Venkateshwaran:
Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier. Int. J. Medical Eng. Informatics 3(4): 337-350 (2011) - 2010
- [j1]E. Sivasankar, R. S. Rajesh:
Implementation of Support Vector Machines for Classification of Clinical Datasets. Int. J. Inf. Acquis. 7(4): 347-356 (2010)
Coauthor Index
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