Implementation of Support Vector Machines for Classification of Clinical Datasets. - E. Sivasankar; R. S. Rajesh (Int. J. Inf. Acquis., 2010)

Comparison of Dimensionality Reduction Techniques Using a Backpropagation Neural Network Based Classifier. - E. Sivasankar; H. Sridhar; V. Balakrishnan; K. Ashwin; R. S. Rajesh (Int. J. Inf. Acquis., 2011)

Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier. - E. Sivasankar; R. S. Rajesh; S. R. Venkateshwaran (Int. J. Medical Eng. Informatics, 2011)

Prevention of XSS attacks using STCD: server side tagging and client side differentiation. - Siva Brahmasani; Subramanian Selvakumar; E. Sivasankar (ACM SIGSOFT Softw. Eng. Notes, 2012)

Two level verification for detection of DNS rebinding attacks. - Siva Brahmasani; E. Sivasankar (Int. J. Syst. Assur. Eng. Manag., 2013)

Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop. - P. Vignesh Raja; E. Sivasankar (ICT-EurAsia, 2014)

A Novel Cross Layer Approach to Enhance QoS Performance in Multihop Adhoc Networks. - Nithya Balasubramanian; C. Mala; E. Sivasankar (NBiS, 2014)

Optimized Multilevel Threshold Selection Using Evolutionary Computing. - M. Sridevi; C. Mala; E. Sivasankar; Ilsun You (NBiS, 2014)

Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks. - Nithya Balasubramanian; C. Mala; E. Sivasankar (Soft Comput., 2017)

An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context. - C. Selvi; E. Sivasankar (WIR, 2018)

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, 2018)

Relation Networks for Optic Disc and Fovea Localization in Retinal Images. - Sudharshan Chandra Babu; Shishira R. Maiya; Sivasankar Elango (CoRR, 2018)

An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing. - J. Vijaya; E. Sivasankar (Clust. Comput., 2019)

A Study of Feature Extraction techniques for Sentiment Analysis. - Avinash Madasu; Sivasankar Elango (CoRR, 2019)

A study of feature selection techniques for predicting customer retention in telecommunication sector. - E. Sivasankar; J. Vijaya (Int. J. Bus. Inf. Syst., 2019)

Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms. - E. Sivasankar; R. Pradeep; S. Sivanandham (Int. J. Medical Eng. Informatics, 2019)

A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach. - C. Selvi; E. Sivasankar (Multim. Tools Appl., 2019)

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 Comput. Appl., 2019)

A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach. - C. Selvi; E. Sivasankar (Soft Comput., 2019)

Efficient feature selection techniques for sentiment analysis. - Avinash Madasu; Sivasankar Elango (Multim. Tools Appl., 2020)

Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC). - K. Krishnakumari; E. Sivasankar; Sam Radhakrishnan (Soft Comput., 2020)

Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method. - E. Sivasankar; C. Selvi; S. Mahalakshmi (Soft Comput., 2020)

Analysis and prediction of breast cancer through feature selection and classification techniques. - E. Sivasankar; A. Sathish Kumar; J. Sanjivi; P. Balasubramanian 004 (Int. J. Medical Eng. Informatics, 2021)

An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA). - E. Sivasankar; K. Krishnakumari; P. Balasubramanian 004 (Soft Comput., 2021)

Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks. - Divakaran Adwaith; Ashok Kumar Abishake; Siva Venkatesh Raghul; Elango Sivasankar (Multim. Tools Appl., 2022)

CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT. - Balasubramanian Palani; Sivasankar Elango; Vignesh Viswanathan K (Multim. Tools Appl., 2022)

Aspect-based summarisation in the big data environment. - K. Krishnakumari; E. Sivasankar (Int. J. Adv. Intell. Paradigms, 2023)

Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model. - Rani Koshy; Sivasankar Elango (Neural Comput. Appl., 2023)

A hybrid deep learning framework for privacy preservation in edge computing. - Harine Rajashree; K. Sundarakantham; E. Sivasankar; Mercy Shalinie Selvaraj (Comput. Secur., 2023)

CTrL-FND: content-based transfer learning approach for fake news detection on social media. - Balasubramanian Palani; Sivasankar Elango (Int. J. Syst. Assur. Eng. Manag., 2023)

BBC-FND: An ensemble of deep learning framework for textual fake news detection. - Balasubramanian Palani; Sivasankar Elango (Comput. Electr. Eng., 2023)

Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets. - Rani Koshy; Sivasankar Elango (Appl. Intell., 2024)

Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management. - Rani Koshy; Sivasankar Elango (Multim. Tools Appl., 2024)

Diabetic retinopathy detection using a well-calibrated uncertainty aware convolutional neural network. - Preeti Verma; Sivasankar Elango; Kunwar Singh (Multim. Tools Appl., 2025)