E. Sivasankar
Orcid: 0000-0001-7906-6384Affiliations:
- National Institute of Technology, Department of Computer Science and Engineering, Tiruchirappalli, India
According to our database1,
E. Sivasankar
authored at least 33 papers
between 2010 and 2024.
Collaborative distances:
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on nitt.edu
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Bibliography
2024
Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management.
Multim. Tools Appl., April, 2024
Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets.
Appl. Intell., April, 2024
2023
Comput. Electr. Eng., September, 2023
CTrL-FND: content-based transfer learning approach for fake news detection on social media.
Int. J. Syst. Assur. Eng. Manag., June, 2023
Comput. Secur., June, 2023
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model.
Neural Comput. Appl., 2023
Int. J. Adv. Intell. Paradigms, 2023
2022
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT.
Multim. Tools Appl., 2022
Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks.
Multim. Tools Appl., 2022
2021
An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA).
Soft Comput., 2021
Analysis and prediction of breast cancer through feature selection and classification techniques.
Int. J. Medical Eng. Informatics, 2021
2020
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method.
Soft Comput., 2020
Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC).
Soft Comput., 2020
Multim. Tools Appl., 2020
2019
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach.
Soft Comput., 2019
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network.
Neural Comput. Appl., 2019
A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach.
Multim. Tools Appl., 2019
Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms.
Int. J. Medical Eng. Informatics, 2019
A study of feature selection techniques for predicting customer retention in telecommunication sector.
Int. J. Bus. Inf. Syst., 2019
An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing.
Clust. Comput., 2019
2018
CoRR, 2018
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector.
Computing, 2018
Proceedings of the Data Science and Big Data Analytics, 2018
2017
Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks.
Soft Comput., 2017
2014
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014
Proceedings of the Information and Communication Technology, 2014
2013
Int. J. Syst. Assur. Eng. Manag., 2013
2012
Prevention of XSS attacks using STCD: server side tagging and client side differentiation.
ACM SIGSOFT Softw. Eng. Notes, 2012
2011
Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier.
Int. J. Medical Eng. Informatics, 2011
Comparison of Dimensionality Reduction Techniques Using a Backpropagation Neural Network Based Classifier.
Int. J. Inf. Acquis., 2011
2010
Int. J. Inf. Acquis., 2010