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2026 Journal Article Deep sequence learning models for hotel room air conditioner runtime estimation via ambient sensingSerati, Reza, Kulatilleke, Gayan, Layeghy, Siamak, Ariai, Farid, Dolnicar, Sara and Portmann, Marius (2026). Deep sequence learning models for hotel room air conditioner runtime estimation via ambient sensing. Energy and Buildings, 370 118118, 1-13. doi: 10.1016/j.enbuild.2026.118118 |
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2026 Journal Article Time matters: temporal NetFlow features for ML-based Network Intrusion DetectionLuay, Majed, Layeghy, Siamak, Noorbin, Niloufar, Sarhan, Mohanad, Kulatilleke, Gayan, Moustafa, Nour and Portmann, Marius (2026). Time matters: temporal NetFlow features for ML-based Network Intrusion Detection. IEEE Access, 14 (99), 66899-66913. doi: 10.1109/access.2026.3688204 |
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2025 Conference Publication Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisationsLuay, Majed, Layeghy, Siamak, Pandey, Yash, Kulatilleke, Gayan and Portmann, Marius (2025). Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisations. 2025 IEEE 50th Conference on Local Computer Networks (LCN), Sydney, NSW Australia, 13-16 October 2025. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/lcn65610.2025.11146352 |
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2025 Journal Article SCGC : Self-supervised contrastive graph clusteringKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2025). SCGC : Self-supervised contrastive graph clustering. Neurocomputing, 611 128629, 128629. doi: 10.1016/j.neucom.2024.128629 |
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2024 Conference Publication A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion ClassificationNaranpanawa, Nathasha, Soyer, H. Peter, Mothershaw, Adam, Kulatilleke, Gayan K., Ge, Zongyuan, Betz-Stablein, Brigid and Chandra, Shekhar S. (2024). A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi56570.2024.10635546 |
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2024 Journal Article FlowTransformer: A transformer framework for flow-based network intrusion detection systemsManocchio, Liam Daly, Layeghy, Siamak, Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad and Portmann, Marius (2024). FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Systems with Applications, 241 122564, 1-15. doi: 10.1016/j.eswa.2023.122564 |
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2023 Journal Article Efficient block contrastive learning via parameter-free meta-node approximationKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850, 126850. doi: 10.1016/j.neucom.2023.126850 |
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2023 Other Outputs Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web InterventionsKulatilleke, Gayan (2023). Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/226750b |
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2023 Journal Article XG-BoT: an explainable deep graph neural network for botnet detection and forensicsLo, Wai Weng, Kulatilleke, Gayan, Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). XG-BoT: an explainable deep graph neural network for botnet detection and forensics. Internet of Things, 22 100747, 100747. doi: 10.1016/j.iot.2023.100747 |
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2023 Conference Publication DOC-NAD: A hybrid deep one-class classifier for network anomaly detectionSarhan, Mohanad, Kulatilleke, Gayan, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2023). DOC-NAD: A hybrid deep one-class classifier for network anomaly detection. 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Bangalore, India, 1 - 4 May 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ccgridw59191.2023.00016 |
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2023 Journal Article Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoinLo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Applied Intelligence, 53 (16), 1-12. doi: 10.1007/s10489-023-04504-9 |
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2022 Conference Publication FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityKulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6 |
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2019 Conference Publication Breaking bad systems with Human Factors and Ergonomics: using Work Domain Analysis to identify strategies to disrupt trading in dark net marketplacesSalmon, Paul M., Lane, Ben R., Desmond, Dennis, Cherney, Adrian, Kulatilleke, Gayan, Matthews, Anita, Lacey, David and Stanton, Neville A. (2019). Breaking bad systems with Human Factors and Ergonomics: using Work Domain Analysis to identify strategies to disrupt trading in dark net marketplaces. Human Factors and Ergonomics Society Annual Meeting, Seattle, WA, United States, 28 October - 1 November 2019. Thousand Oaks, CA, United States: Sage Publications. doi: 10.1177/1071181319631315 |
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2019 Conference Publication HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventionsLane, Ben, Salmon, Paul, Desmond, Dennis, Cherney, Adrian, Kulatilleke, Gayan and Stanton, Neville (2019). HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions. 54th Annual Conference of the Human Factors and Ergonomics Society of Australia (HFESA 2019), Canberra, ACT Australia, 24-26 November 2019. Baulkham Hills, NSW Australia: Human Factors and Ergonomics Society of Australia. |
