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2025 Journal Article Augmenting Human Potential: The Role of LLMs in Shaping the Future of HCIDe Silva, Chameera and Halloluwa, Thilina (2025). Augmenting Human Potential: The Role of LLMs in Shaping the Future of HCI. Interactions, 32 (2), 42-45. doi: 10.1145/3712068 |
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2025 Conference Publication Multitasking Neural Network for Cricket Team Selection with Complex DynamicsWeerakoon, Tharika and Halloluwa, Thilina (2025). Multitasking Neural Network for Cricket Team Selection with Complex Dynamics. IEEE. doi: 10.1109/icarc64760.2025.10962897 |
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2024 Conference Publication An automated model for predicting weekly tea auction prices at Colombo tea auction for specific elevations and gradesAriyaratne, Chandika, Arachchi, Samantha Mathara, Pallewatta, Pandula, Karunanayaka, Kasun, Seneviratne, Gihan and Halloluwa, Thilina (2024). An automated model for predicting weekly tea auction prices at Colombo tea auction for specific elevations and grades. 2024 6th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 12-13 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icac64487.2024.10851051 |
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2024 Conference Publication Estimating story points in scrum: balancing accuracy and interpretability with explainable AIGamage, Isuru Walpita, Rathnayake, R.M.U.A. and Halloluwa, Thilina (2024). Estimating story points in scrum: balancing accuracy and interpretability with explainable AI. 2024 6th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 12-13 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icac64487.2024.10850952 |
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2024 Conference Publication Understanding use of Large Language Models in Healthcare: An HCI Scoping ReviewBandara, Pradeepa, Halloluwa, Thilina and Vyas, Dhaval (2024). Understanding use of Large Language Models in Healthcare: An HCI Scoping Review. OzCHI 2024: 36th Australian Conference on Human-Computer Interaction, Brisbane, QLD Australia, 30 November - 2 December 2024. New York, NY United States: Association for Computing Machinery. |
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2024 Journal Article A dataset of unmanned aerial vehicle multispectral images acquired over a field to identify nitrogen requirementsFonseka, C. L. I. S., Halloluwa, Thilina, Hewagamage, K. P., Rathnayake, Upul and Bandara, R. M. U. S. (2024). A dataset of unmanned aerial vehicle multispectral images acquired over a field to identify nitrogen requirements. Data in Brief, 54 110479, 1-8. doi: 10.1016/j.dib.2024.110479 |
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2024 Conference Publication MangoDB - A TJC Mango dataset for deep-learning-based on classification and detection in precision agricultureJayaweera, Sasadara, Sewwandi, Piyumika, Tharaka, Dimuthi, Pallewatta, Pandula, Halloluwa, Thilina, Wickramasinghe, Manjusri, Karunanayaka, Kasun and Arachchi, Samantha Mathara (2024). MangoDB - A TJC Mango dataset for deep-learning-based on classification and detection in precision agriculture. 2024 4th International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 21-24 February 2024. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarc61713.2024.10499698 |
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2024 Conference Publication BellCrop - A bell pepper leaf dataset for disease classification and yield enhancement using machine learningPallewatta, Pandula, Halloluwa, Thilina, Karunanayaka, Kasun, Seneviratne, Gihan and Arachchi, Samantha Mathara (2024). BellCrop - A bell pepper leaf dataset for disease classification and yield enhancement using machine learning. IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, United States, 3-6 November 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IECON55916.2024.10905325 |
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2024 Conference Publication Quality grading methods for greenhouse grown crops using computer vision and machine learning - a reviewPallewatta, Pandula, Karunanayaka, Kasun, Arachchi, Samantha Mathara, Halloluwa, Thilina and Seneviratne, Gihan (2024). Quality grading methods for greenhouse grown crops using computer vision and machine learning - a review. IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, United States, 3-6 November 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IECON55916.2024.10905669 |
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2023 Journal Article Video based action detection for online exam proctoring in resource-constrained settingsFelsinger, Dilky, Halloluwa, Thilina and Fonseka, Ishani (2023). Video based action detection for online exam proctoring in resource-constrained settings. Education and Information Technologies, 29 (10), 12077-12091. doi: 10.1007/s10639-023-12385-1 |
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2023 Conference Publication Effective identification of nitrogen fertilizer demand for paddy cultivation using UAVsIllesinghe, Rusiri, Arachchi, Shayan Wickrama, Kavikarage, Heshan, Karunarathna, Anupama, Karunanayaka, Kasun, Halloluwa, Thilina and Rathnayake, Upul (2023). Effective identification of nitrogen fertilizer demand for paddy cultivation using UAVs. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 16-19 October 2023. New York, NY USA: IEEE Computer Society. doi: 10.1109/iecon51785.2023.10312483 |
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2023 Conference Publication Virtual reality based approaches for post ischemic stroke rehabilitation: current practices and future perspectivesWickramasinghe, Buddhi, Karunanayaka, Kasun, Halloluwa, Thilina and Cheok, Adrian David (2023). Virtual reality based approaches for post ischemic stroke rehabilitation: current practices and future perspectives. 2023 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 23-24 February 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarc57651.2023.10145731 |
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2022 Book Chapter UrbanAgro: utilizing advanced deep learning to support Sri Lankan urban farmers to detect and control common diseases in tomato plantsHettiarachchi, Dilsha, Fernando, Vishmanthi, Kegalle, Hiruni and Halloluwa, Thilina (2022). UrbanAgro: utilizing advanced deep learning to support Sri Lankan urban farmers to detect and control common diseases in tomato plants. Application of Machine Learning in Agriculture. (pp. 263-282) edited by Mohammad Ayoub Khan, Rijwan Khan and Mohammad Aslam Ansari. London, United Kingdom: Academic Press. doi: 10.1016/b978-0-323-90550-3.00010-2 |
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2021 Conference Publication Multisensory augmented realityKarunanayaka, Kasun, Nijholt, Anton, Halloluwa, Thilina, Ranasinghe, Nimesha, Wickramasinghe, Manjusri and Vyas, Dhaval (2021). Multisensory augmented reality. Multisensory Augmented Reality, Virtual, 30 Aug 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-85607-6_77 |
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2021 Conference Publication A rule based approach to minimize false-positive declines in Electronic Card Not Present financial transactions using feature engineering techniquesDelgolla, Madhushika, Halloluwa, Thilina and Rathnayake, Anuradha (2021). A rule based approach to minimize false-positive declines in Electronic Card Not Present financial transactions using feature engineering techniques. 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), Colombo, Sri Lanka, 2-3 December 2021. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icter53630.2021.9774815 |
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2021 Journal Article Exploring entrepreneurial activities in marginalized widows: a case from rural Sri LankaRathnayake, Upul Anuradha, Halloluwa, Thilina, Bandara, Pradeepa, Narasinghe, Medhani and Vyas, Dhaval (2021). Exploring entrepreneurial activities in marginalized widows: a case from rural Sri Lanka. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW1) 142, 1-24. doi: 10.1145/3449216 |
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2021 Journal Article Message from the Conference Co-ChairsHalloluwa, Thilina and Welgama, Viraj (2021). Message from the Conference Co-Chairs. 21st International Conference on Advances in ICT for Emerging Regions, ICter 2021 - Proceedings. doi: 10.1109/ICter53630.2021.9774828 |
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2019 Journal Article What they can and cannot: a meta-analysis of research on touch and multi-touch gestures by two to seven-year-oldsSamarakoon, Uthpala, Usoof, Hakim and Halloluwa, Thilina (2019). What they can and cannot: a meta-analysis of research on touch and multi-touch gestures by two to seven-year-olds. International Journal of Child-Computer Interaction, 22 100151, 1-12. doi: 10.1016/j.ijcci.2019.100151 |
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2019 Journal Article More than step count: designing a workplace-based activity tracking systemVyas, Dhaval, Halloluwa, Thilina, Heinzler, Nikolaj and Zhang, Jinglan (2019). More than step count: designing a workplace-based activity tracking system. Personal and Ubiquitous Computing, 24 (5), 627-641. doi: 10.1007/s00779-019-01305-1 |
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2019 Other Outputs Human money interaction: designing for personal finances in the developing countriesHalloluwa, Halloluwa Kankanamalage Thilina C. (2019). Human money interaction: designing for personal finances in the developing countries. PhD Thesis, Science and Engineering Faculty, Queensland University of Technology. doi: 10.5204/thesis.eprints.129131 |
