An evolutionary feature set decomposition based anonymization for classification workloads: Privacy Preserving Data Mining. - A. K. Ilavarasi; Balasubramaniam Sathiyabhama (Clust. Comput., 2017)

Usage Data for Predicting User Trends and Behavioral Analysis in E-Commerce Applications. - Sathiyamoorthi V. 001; T. Nadana Ravishankar; Ilavarasi A. K.; Sridhar Udayakumar; Karthikeyan Harimoorthy; Jayapandian N. 001; Saravanan V. (Int. J. Inf. Syst. Serv. Sect., 2021)

A novel feature selection framework based on grey wolf optimizer for mammogram image analysis. - Balasubramaniam Sathiyabhama; S. Udhaya Kumar; J. Jayanthi; Thanikachalam Sathiya; A. K. Ilavarasi; V. Yuvarajan; Konga Gopikrishna (Neural Comput. Appl., 2021)

Intracranial Haemorrhage Detection Based on Deep Learning Using CT Images. - Pratyush Raj Mishra; Ilavarasi A. K. (IC3, 2023)

A Comparative Study Of RESNET-Pretrained Models For Computer Vision. - Thode Sai Prajwal; Ilavarasi A. K. (IC3, 2023)

Multi-Class Breast Cancer Classification from Digital Mammograms Using Vision Transformers. - Varun Sunil Salgarkar; Ilavarasi A. K. (IC3, 2023)

Transfer Learning Based Multi-Class Lung Disease Prediction Using Textural Features Derived From Fusion Data. - Kurupati Sai Charan; Omtri Vijaya Krishna; Palla Venkata Sai; A. K. Ilavarasi (IEEE Access, 2024)