Conference Descriptive Kernel Convolution Network with Improved Random Walk Kernel 2024 457-468 Lee M-C, Zhao L, 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
Preprint On the Detection of Reviewer-Author Collusion Rings From Paper Bidding 2024 Jecmen S, Shah NB, Fang F, Akoglu L
Preprint Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors 2024 Ding X, Xi R, Akoglu L
Preprint Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! 2024 Shen Y, Wen H, Akoglu L
Conference ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach 2023 865-874 Sotiropoulos K, Zhao L, Liang PJ, Akoglu L
Journal Article Benefit-aware early prediction of health outcomes on multivariate EEG time series 2023 • Journal of Biomedical Informatics • 139: Shekhar S, Eswaran D, Hooi B, Elmer J, Faloutsos C, 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
Conference Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities 2023 1047-1051 Akoglu L, Yoo J
Conference Anomaly Mining - Past, Present and Future 2021 • IJCAI International Joint Conference on Artificial Intelligence • 4932-4936 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
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 Outlier Detection: LookOut for Pictorial Explanation 2019 • Lecture Notes in Computer Science • 11051:122-138 Gupta N, Eswaran D, Shah N, Akoglu L, Faloutsos C
Conference Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback 2019 • PROCEEDINGS OF THE 2019 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDM • 612-620 Lamba H, Akoglu L
Conference CHANGEDAR: Online Localized Change Detection for Sensor Data on a Graph 2018 • International Conference on Information and Knowledge Management, Proceedings • 507-516 Hooi B, Akoglu L, Eswaran D, Pandey A, Jereminov M, Pileggi L, Faloutsos C
Journal Article Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm 2017 Chen S, Niu S, Akoglu L, Kovačević J, Faloutsos C
Journal Article LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector 2017 Gupta N, Eswaran D, Shah N, Akoglu L, Faloutsos C
Conference BIRDNEST: Bayesian Inference for Ratings-Fraud Detection 2016 495-503 Hooi B, Shah N, Beutel A, Günnemann S, Akoglu L, Kumar M, Makhija D, Faloutsos C
Conference EdgeCentric: Anomaly Detection in Edge-Attributed Networks 2016 • Proceedings ... ICDM workshops IEEE International Conference on Data Mining • 327-334 Shah N, Beutel A, Rooi B, Akoglu L, Günnemann S, Makhija D, Kumar M, Faloutsos C
Journal Article Scalable Anomaly Ranking of Attributed Neighborhoods 2016 207-215 Perozzi B, Akoglu L
