Exploratory Analysis of a Social Media Network in Sri Lanka during the COVID-19 Virus Outbreak. - Damitha Lenadora; Gihan Gamage; Dilantha Haputhanthri; Dulani Meedeniya; Indika Perera (CoRR, 2020)

Integration of Facial Thermography in EEG-based Classification of ASD. - Dilantha Haputhanthri; Gunavaran Brihadiswaran; Sahan Gunathilaka; Dulani Meedeniya; Sampath Jayarathna; Mark Jaime; Christopher Harshaw (Int. J. Autom. Comput., 2020)

Transportation Mode Detection Using Crowdsourced Smartphone Data. - Pramith Nirmal; Ishan Disanayaka; Dilantha Haputhanthri; Adeesha Wijayasiri (FRUCT, 2021)

Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting. - Sachin Kahawala; Dilantha Haputhanthri; Harsha Moraliyage; Shashini Wimalaratne; Damminda Alahakoon; Andrew Jennings (HSI, 2022)

UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting. - Shashini Wimalaratne; Dilantha Haputhanthri; Sachin Kahawala; Gihan Gamage; Damminda Alahakoon; Andrew Jennings (HSI, 2022)

Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning. - Dilantha Haputhanthri; Evgeny Osipov; Sachin Kahawala; Daswin De Silva; Thimal Kempitiya; Damminda Alahakoon (IJCNN, 2022)

Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition. - Thimal Kempitiya; Daswin De Silva; Sachin Kahawala; Dilantha Haputhanthri; Damminda Alahakoon; Evgeny Osipov (IJCNN, 2022)

Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. - Harsha Moraliyage; Dilantha Haputhanthri; Chamod Samarajeewa; Nishan Mills; Daswin De Silva; Milos Manic; Andrew Jennings (ISIE, 2023)

Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. - Evgeny Osipov; Sachin Kahawala; Dilantha Haputhanthri; Thimal Kempitiya; Daswin De Silva; Damminda Alahakoon; Denis Kleyko (IEEE Trans. Neural Networks Learn. Syst., 2024)