Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation. - Tamasha Malepathirana; Rashindrie Perera; Yasasi Abeysinghe; Yumna Albar; Uthayasanker Thayasivam (FLAIRS, 2019)

Amalgamation of General and Domain Specific Word Embeddings for Improved Hierarchical Aspect Aggregation. - Rashindrie Perera; Tamasha Malepathirana; Yasasi Abeysinghe; Yumna Albar; Uthayasanker Thayasivam (ICSC, 2019)

Undercover Deepfakes: Detecting Fake Segments in Videos. - Sanjay Saha; Rashindrie Perera; Sachith Seneviratne; Tamasha Malepathirana; Sanka Rasnayaka; Deshani Geethika; Terence Sim; Saman K. Halgamuge (ICCV (Workshops), 2023)

Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes. - Richard Lupat; Rashindrie Perera; Sherene Loi; Jason Li 002 (IEEE Access, 2023)

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning. - Rashindrie Perera; Saman K. Halgamuge (CVPR, 2024)

Deep Neural Networks for Limited Data Scenarios. - Rashindrie Perera (2024)