Preprint CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection 2025 Wen H, Cao S, Akoglu L
Conference End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection 2025 • 2025 SIAM International Conference on Data Mining Sdm 2025 • 568-577 Deforce B, Lee MC, Baesens B, Asensio ES, Yoo J, Akoglu L
Journal Article On the Detection of Reviewer-Author Collusion Rings From Paper Bidding 2025 • Transactions on Machine Learning Research • 2025: Jecmen S, Shah NB, Fang F, Akoglu L
Conference Self-Tuning Self-Supervised Image Anomaly Detection 2025 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 3622-3632 Yoo J, Zhao L, Akoglu L
Conference SKnow-LLM Workshop: Structured Knowledge for Large Language Models 2025 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 6318-6319 Zhu Q, Chen X, Zhang Y, Adeshina S, Mavromatis C, Han Z, Ioannidis VN, Akoglu L, Koutra D, Rangwala H
Conference Trajectory Anomaly Detection with By-Design Complementary Detectors 2025 • 2025 SIAM International Conference on Data Mining Sdm 2025 • 71-80 Cao S, Akoglu L
Preprint End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection 2024 Deforce B, Lee M-C, Baesens B, Asensio ES, Yoo J, Akoglu L
Conference Fast Unsupervised Deep Outlier Model Selection with Hypernetworks 2024 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 585-596 Ding X, Zhao Y, Akoglu L
Conference Machine Learning in Finance 2024 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 6703-6703 Akoglu L, Chawla N, Domingo-Ferrer J, Kurshan E, Kumar S, Naware V, Rodriguez-Serrano JA, Chaturvedi I, Nagrecha S, Das M, Faruquie T
Journal Article Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors 2024 • PROCEEDINGS OF THE SEVENTH AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, AIES 2024 • 384-395 Ding X, Xi R, Akoglu L
Conference PARD: Permutation-invariant Autoregressive Diffusion for Graph Generation 2024 • Advances in Neural Information Processing Systems • 37: Zhao L, Ding X, Akoglu L
Preprint Uncertainty-aware Human Mobility Modeling and Anomaly Detection 2024 Wen H, Cao S, Rasheed Z, Shafique KH, Akoglu L
Journal Article Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success 2023 • Transactions on Machine Learning Research Akoglu L, Yoo J, Zhao T
Chapter DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection 2023 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 14169:254-269 Yoo J, Zhao Y, Zhao L, Akoglu L
Chapter Summarizing Labeled Multi-graphs 2023 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 13714:53-68 Berberidis D, Liang PJ, Akoglu L
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
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 Continual Rare-Class Recognition with Emerging Novel Subclasses 2020 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 11907:20-36 Nguyen H, Wang X, Akoglu L
Conference PAIRNORM: TACKLING OVERSMOOTHING IN GNNS 2020 • 8th International Conference on Learning Representations Iclr 2020 Zhao L, Akoglu L
Conference Beyond Outlier Detection: LookOut for Pictorial Explanation 2019 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 11051:122-138 Gupta N, Eswaran D, Shah N, Akoglu L, Faloutsos C
Conference Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? 2019 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 11549:39-49 Nazer TH, Davis M, Karami M, Akoglu L, Koelle D, Liu H
Conference CONOUT: CONtextual OUTlier Detection with Multiple Contexts: Application to Ad Fraud 2019 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 11051:139-156 Meghanath MY, Pai D, Akoglu L
Conference Incorporating Privileged Information to Unsupervised Anomaly Detection 2019 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 11051:87-104 Shekhar S, Akoglu L
Conference A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification 2018 • CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT • 87-96 Wu X, Zhao L, Akoglu L
