CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT B Palani, S Elango, V Viswanathan K Multimedia Tools and Applications 81 (4), 5587-5620, 2022 | 102 | 2022 |
Efficient feature selection techniques for sentiment analysis A Madasu, S Elango Multimedia Tools and Applications 79 (9), 6313-6335, 2020 | 83 | 2020 |
A study of feature extraction techniques for sentiment analysis M Avinash, E Sivasankar Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 71 | 2019 |
An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing J Vijaya, E Sivasankar Cluster Computing 22, 10757-10768, 2019 | 60 | 2019 |
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector J Vijaya, E Sivasankar Computing 100, 839-860, 2018 | 45 | 2018 |
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network E Sivasankar, J Vijaya Neural Computing and Applications 31 (11), 7181-7200, 2019 | 40 | 2019 |
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model R Koshy, S Elango Neural Computing and Applications 35 (2), 1607-1627, 2023 | 37 | 2023 |
Anomaly detection on shuttle data using unsupervised learning techniques S Shriram, E Sivasankar 2019 International Conference on Computational Intelligence and Knowledge …, 2019 | 37 | 2019 |
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach C Selvi, E Sivasankar Soft Computing 23, 1901-1916, 2019 | 37 | 2019 |
A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach C Selvi, E Sivasankar Multimedia Tools and Applications, 1-28, 2018 | 33 | 2018 |
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method E Sivasankar, C Selvi, S Mahalakshmi Soft Computing 24 (6), 3975-3988, 2020 | 30 | 2020 |
Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC) K Krishnakumari, E Sivasankar, S Radhakrishnan Soft Computing 24 (5), 3511-3527, 2020 | 25 | 2020 |
Knowledge discovery in medical datasets using a fuzzy logic rule based classifier E Sivasankar, RS Rajesh 2010 2nd International Conference on Electronic Computer Technology, 208-213, 2010 | 24 | 2010 |
A study of feature selection techniques for predicting customer retention in telecommunication sector E Sivasankar, J Vijaya International Journal of Business Information Systems 31 (1), 1-26, 2019 | 21 | 2019 |
Improved churn prediction based on supervised and unsupervised hybrid data mining system J Vijaya, E Sivasankar Information and Communication Technology for Sustainable Development …, 2018 | 20 | 2018 |
Modern framework for distributed healthcare data analytics based on Hadoop PV Raja, E Sivasankar Information and Communication Technology: Second IFIP TC5/8 International …, 2014 | 20 | 2014 |
Cross domain sentiment analysis using different machine learning techniques S Mahalakshmi, E Sivasankar Proceedings of the Fifth International Conference on Fuzzy and Neuro …, 2015 | 18 | 2015 |
A comparative study of feature selection and machine learning methods for sentiment classification on movie data set C Selvi, C Ahuja, E Sivasankar Intelligent Computing and Applications: Proceedings of the International …, 2015 | 16 | 2015 |
Scalable aspect-based summarization in the hadoop environment K Krishnakumari, E Sivasankar Big data analytics: Proceedings of CSI 2015, 439-449, 2018 | 14 | 2018 |
Diagnosing appendicitis using backpropagation neural network and bayesian based classifier E Sivasankar, RS Rajesh, SR Venkateswaran International Journal of Computer Theory and Engineering 1 (4), 358, 2009 | 14 | 2009 |