ENVirT: inference of ecological characteristics of viruses from metagenomic data. - Duleepa Jayasundara; Damayanthi Herath; Damith A. Senanayake; Isaam Saeed; Cheng-Yu Yang; Yuan Sun 003; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2019)

Exploratory Analysis of Highly Dimensional Data: Parametric Methods for Dimensionality Reduction, Visualization and Feature Extraction with Applications in Computational Biology. - Damith A. Senanayake (2020)

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 (CIBCB, 2021)

Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization. - Damith A. Senanayake; Wei Wang 133; Shalin H. Naik; Saman K. Halgamuge (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dimensionality reduction for visualizing high-dimensional biological data. - Tamasha Malepathirana; Damith A. Senanayake; Rajith Vidanaarachchi; Vini Gautam; Saman K. Halgamuge (Biosyst., 2022)

DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. - Sachith Seneviratne; Damith A. Senanayake; Sanka Rasnayaka; Rajith Vidanaarachchi; Jason Thompson (CoRR, 2022)

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. - Tamasha Malepathirana; Damith A. Senanayake; Saman K. Halgamuge (ICCV, 2023)

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. - Nisal Ranasinghe; Damith A. Senanayake; Sachith Seneviratne; Malin Premaratne; Saman K. Halgamuge (AAAI, 2024)

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. - Haihang Wu; Wei Wang 133; Tamasha Malepathirana; Damith A. Senanayake; Denny Oetomo; Saman K. Halgamuge (AAAI, 2024)

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2024)

Insights into Artificial Intelligence Bias: Implications for Agriculture. - Mathuranathan Mayuravaani; Amirthalingam Ramanan; Maneesha Perera; Damith A. Senanayake; Rajith Vidanaarachchi (Digit. Soc., 2024)

Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning. - Deshani Geethika Poddenige; Sachith Seneviratne; Damith A. Senanayake; Mahesan Niranjan; Ponnuthurai N. Suganthan; Saman K. Halgamuge (CoRR, 2025)

Graph-Eq: Discovering Mathematical Equations using Graph Generative Models. - Nisal Ranasinghe; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2025)