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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 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 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 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 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 |
