Tamasha Malepathirana

Orcid: 0000-0001-7958-5184

According to our database1, Tamasha Malepathirana authored at least 8 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Undercover Deepfakes: Detecting Fake Segments in Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.
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.
CoRR, 2022

Dimensionality reduction for visualizing high-dimensional biological data.
Biosyst., 2022

2021
Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data.
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.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019


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