Parallel Neural Fuzzy-Based Joint Classifier Model for Grading Autistic Disorder. - Anju Pratap; C. S. Kanimozhiselvi; R. Vijayakumar; K. V. Pramod (SOFA (1), 2014)

Predictive assessment of autism using unsupervised machine learning models. - Anju Pratap; C. S. Kanimozhiselvi (Int. J. Adv. Intell. Paradigms, 2014)

Automated support thresholds for rule mining. - Chenniangirivalasu Sadhasivam Kanimozhi Selvi; Subramaniam Malliga; Shanmuga Vadivel Kogilavani (Int. J. Bus. Intell. Data Min., 2016)

Summary generation approaches based on semantic analysis for news documents. - Shanmuga Vadivel Kogilavani; C. S. Kanimozhiselvi; Subramaniam Malliga (J. Inf. Sci., 2016)

Low Storage and Traceback Overhead IP Traceback System. - Subramaniam Malliga; C. S. Kanimozhiselvi; Shanmuga Vadivel Kogilavani (J. Inf. Sci. Eng., 2016)

Pairwise relative ranking technique for efficient opinion mining using sentiment analysis. - P. Manivannan; Chenniangirivalasu Sadhasivam Kanimozhi Selvi (Clust. Comput., 2019)

Hybrid Cloud Resource Provisioning (HCRP) Algorithm for Optimal Resource Allocation Using MKFCM and Bat Algorithm. - S. Kalaiselvi; C. S. Kanimozhiselvi (Wirel. Pers. Commun., 2020)

Improved Priority Aware Mechanism for Enhancing QoS in MANET. - Mohan Prabhu Nallayam Perumal; C. S. Kanimozhiselvi (Wirel. Pers. Commun., 2022)

Early diagnosis of autism using indian autism grading tool. - C. S. Kanimozhi Selvi; D. Jayaprakash; S. Poonguzhali (J. Intell. Fuzzy Syst., 2023)

A Comparison of Word Embedding Techniques for Stress Identification using Machine Learning. - K. S. Kalaivani; C. S. Kanimozhi Selvi; N. Sandeep; T. Vasanthasri; S. VarshiniShilin (ICCCNT, 2024)

Voice based gender recognition using deep learning. - M. Neelamegan; C. S. Kanimozhi Selvi; Manjupargavi Shanmugam; S. Sabari; T. Vignesh (ICCCNT, 2024)

Yoga Pose Recognition and Correction Using Deep Learning. - C. S. Kanimozhi Selvi; K. S. Kalaivani; S. Srigha; Hariesh Ramesh; S. L. Kalki Kartik (ICCCNT, 2024)

Advancing Alzheimer's detection: integrative approaches in MRI analysis with traditional and deep learning models. - T. Vanaja; Kogilavani Shanmugavadivel; Malliga Subramanian; C. S. Kanimozhiselvi (Neural Comput. Appl., 2025)