Gayan K. Kulatilleke

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Intrusion Detection

Credit Card Fraud

Top Venues

Publications

Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. 241 (2024)
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR (2023)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW (2023)
Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. CoRR (2023)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing 561 (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. 53 (16) (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things 22 (2023)
Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann
NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR (2022)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR (2022)
Gayan K. Kulatilleke, Sugandika Samarakoon
Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data. CoRR (2022)
Gayan K. Kulatilleke
Credit card fraud detection - Classifier selection strategy. CoRR (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
SCGC : Self-Supervised Contrastive Graph Clustering. CoRR (2022)
Gayan K. Kulatilleke
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection. CoRR (2022)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. CoRR (2022)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR (2021)