Preprint A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? 2021 Ma MQ, Zhao Y, Zhang X, Akoglu L
Conference Anomaly Mining - Past, Present and Future 2021 • IJCAI International Joint Conference on Artificial Intelligence • 4932-4936 Akoglu L
Conference Anomaly Mining: Past, Present and Future 2021 • PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021 • 1-2 Akoglu L
Conference Automatic Unsupervised Outlier Model Selection 2021 • Advances in Neural Information Processing Systems • 34: Zhao Y, Rossi RA, Akoglu L
Preprint Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series 2021 Shekhar S, Eswaran D, Hooi B, Elmer J, Faloutsos C, Akoglu L
Conference FAIROD: Fairness-aware Outlier Detection 2021 • AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY • 210-220 Shekhar S, Shah N, Akoglu L
Conference Fast Attributed Graph Embedding via Density of States 2021 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 559-568 Sawlani S, Zhao L, Akoglu L
Preprint From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness 2021 Zhao L, Jin W, Akoglu L, Shah N
Conference GAWD: Graph Anomaly Detection in Weighted Directed Graph Databases 2021 • PROCEEDINGS OF THE 2021 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2021 • 143-150 Lee M-C, Nguyen HT, Berberidis D, Tseng VS, Akoglu L
Conference Machine Learning in Finance 2021 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4139-4140 Kumar S, Akoglu L, Chawla N, Rodriguez-Serrano JA, Faruquie T, Nagrecha S
Conference ODD: Outlier Detection and Description 2021 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4108-4109 Bhatia S, Hooi B, Akoglu L, Chatterjee S, Jiang X, Gupta M
Preprint AutoAudit: Mining Accounting and Time-Evolving Graphs 2020 Lee M-C, Zhao Y, Wang A, Liang PJ, Akoglu L, Tseng VS, Faloutsos C
Conference AUTOAUDIT: Mining Accounting and Time-Evolving Graphs 2020 • 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) • 950-956 Lee M-C, Zhao Y, Wang A, Liang PJ, Akoglu L, Tseng VS, Faloutsos C
Conference Beyond homophily in graph neural networks: Current limitations and effective designs 2020 • Advances in Neural Information Processing Systems • 2020-December: Zhu J, Yan Y, Zhao L, Heimann M, Akoglu L, Koutra D
Preprint Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs 2020 Zhu J, Yan Y, Zhao L, Heimann M, Akoglu L, Koutra D
Conference Continual Rare-Class Recognition with Emerging Novel Subclasses 2020 • Lecture Notes in Computer Science • 11907:20-36 Nguyen H, Wang X, Akoglu L
Journal Article End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses 2020 • ACM Transactions on Knowledge Discovery from Data • 14(5): Hung N, Wang X, Akoglu L
