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
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
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 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
Conference Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs 2015 622-630 Rayana S, Akoglu L
Journal Article Where Graph Topology Matters: The Robust Subgraph Problem 2015 10-18 Chan H, Han S, Akoglu L
Conference Fast Nearest Neighbor Search on Large Time-Evolving Graphs 2014 • Lecture Notes in Computer Science • 8724:17-33 Akoglu L, Khandekar R, Kumar V, Parthasarathy S, Rajan D, Wu K-L
Conference Make It or Break It: Manipulating Robustness in Large Networks 2014 325-333 Chan H, Akoglu L, Tong H
Conference Anomaly, event, and fraud detection in large network datasets 2013 773-774 Akoglu L, Faloutsos C
Conference Mining Connection Pathways for Marked Nodes in Large Graphs 2013 37-45 Akoglu L, Chau DH, Vreeken J, Tatti N, Tong H, Faloutsos C
