Gayan K. Kulatilleke

18 papers Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SCGC : Self-supervised contrastive graph clustering. Neurocomputing Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2024	—	`conf`	A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. ISBI Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2024	J	`jnl`	FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	—	`conf`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2023	J	`jnl`	FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	J	`jnl`	Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. CoRR Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2023	J	`jnl`	XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Challenges and Complexities in Machine Learning based Credit Card Fraud Detection. CoRR Gayan K. Kulatilleke
2022	J	`jnl`	Credit card fraud detection - Classifier selection strategy. CoRR Gayan K. Kulatilleke
2022	J	`jnl`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Efficient block contrastive learning via parameter-free meta-node approximation. CoRR Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2022	J	`jnl`	Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data. CoRR Gayan K. Kulatilleke, Sugandika Samarakoon
2022	Misc	`conf`	FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra
2022	J	`jnl`	NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann
2022	J	`jnl`	SCGC : Self-Supervised Contrastive Graph Clustering. CoRR Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2021	J	`jnl`	FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra