Tamasha Malepathirana

According to our database, Tamasha Malepathirana authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models.

Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge

Pattern Recognit., 2026

2025

FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals.

Nisal Ranasinghe, Dzung Do-Ha, Simon Maksour, Tamasha Malepathirana, Sachith Seneviratne, Lezanne Ooi, Saman K. Halgamuge

CoRR, May, 2025

2024

TT-MPD: Test Time Model Pruning and Distillation.

Haihang Wu, Wei Wang, Tamasha Malepathirana, Sachith Seneviratne, Denny Oetomo, Saman K. Halgamuge

CoRR, 2024

AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models.

Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge

CoRR, 2024

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.

Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural Networks for High-Dimensional and Continually Generated Data.

Tamasha Malepathirana

PhD thesis, 2023

Undercover Deepfakes: Detecting Fake Segments in Videos.

Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.

Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.

Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge

CoRR, 2022

Dimensionality reduction for visualizing high-dimensional biological data.

Tamasha Malepathirana, Damith A. Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman K. Halgamuge

Biosyst., 2022

2021

Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data.

Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2019

Amalgamation of General and Domain Specific Word Embeddings for Improved Hierarchical Aspect Aggregation.

Rashindrie Perera, Tamasha Malepathirana, Yasasi Abeysinghe, Yumna Albar, Uthayasanker Thayasivam

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation.

Tamasha Malepathirana, Rashindrie Perera, Yasasi Abeysinghe, Yumna Albar, Uthayasanker Thayasivam

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019