Conference From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management 2023 • PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2023 • 279-287 Ding X, Seleznev N, Kumar S, Bruss CB, Akoglu L
Preprint From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management 2023 Ding X, Seleznev N, Kumar S, Bruss CB, Akoglu L
Conference KDD Workshop on Machine Learning in Finance 2023 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 5863-5864 Akoglu L, Chawla N, Kumar S, Nagrecha S, Das M, Naware VM, Faruquie T
Journal Article On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights 2023 • Big Data • 11(3):151-180 Zhao L, Akoglu L
Journal Article PC Chairs' Welcome 2023 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • IV Akoglu L, Gunopulos D, Yan X, Kumar R, Ozcan F, Ye J
Conference Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities 2023 1047-1051 Akoglu L, Yoo J
Preprint Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities 2023 Akoglu L, Yoo J
Chapter Summarizing Labeled Multi-graphs 2023 • Lecture Notes in Computer Science • 13714:53-68 Berberidis D, Liang PJ, Akoglu L
Journal Article The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies 2023 • ACM SIGKDD Explorations Newsletter • 25(1):19-35 Q. M, Zhao Y, Zhang X, Akoglu L
Conference A Practical, Progressively-Expressive GNN 2022 • Advances in Neural Information Processing Systems Zhao L, Haertel L, Shah N, Akoglu L
Journal Article ACM WSDM 2022 report 2022 • ACM SIGWEB Newsletter • 2022(Summer):1-6 Candan KS, Liu H, Akoglu L, Dong XL, Tang J, Tomkins A
Preprint D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments 2022 Jiang S, Cordeiro RLF, Akoglu L
Conference D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments 2022 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 987-992 Jiang S, Cordeiro RLF, Akoglu L
Preprint Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success 2022 Yoo J, Zhao T, Akoglu L
Conference Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection 2022 • Advances in Neural Information Processing Systems Zhang G, Yang Z, Wu J, Yang J, Shan X, Peng H, Su J, Zhou C, Sheng QZ, Akoglu L, Aggarwal CC
Conference FROM STARS TO SUBGRAPHS: UPLIFTING ANY GNN WITH LOCAL STRUCTURE AWARENESS 2022 • ICLR 2022 - 10th International Conference on Learning Representations Zhao L, Jin W, Akoglu L, Shah N
Preprint Graph Anomaly Detection with Unsupervised GNNs 2022 Zhao L, Sawlani S, Srinivasan A, Akoglu L
Conference Hyperparameter Sensitivity in Deep Outlier Detection Analysis and a Scalable Hyper-Ensemble Solution 2022 • Advances in Neural Information Processing Systems Ding X, Zhao L, Akoglu L
Preprint Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution 2022 Ding X, Zhao L, Akoglu L
Conference KDD Workshop on Machine Learning in Finance 2022 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4882-4883 Kumar S, Akoglu L, Chawla N, Nagrecha S, Naware VM, Faruquie T, McCormick H
Conference Message from the WSDM 2022 chairs 2022 • WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining • iii Selcuk Candan K, Liu H, Akoglu L, Luna Dong X, Tang J
Conference SPARX: Distributed Outlier Detection at Scale 2022 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4530-4540 Zhang S, Ursekar V, Akoglu L
