228 citations · 813 across the 67 of their papers we have counts for
5 papers · 2 filters
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi +3
Given a cardiac-arrest patient being monitored in the ICU (intensive care unit) for brain activity, how can we predict their health outcomes as early as possible? Early decision-ma…
C-AllOut: Catching & Calling Outliers by Type
Guilherme D. F. Silva, Leman Akoglu, Robson L. F. Cordeiro
Given an unlabeled dataset, wherein we have access only to pairwise similarities (or distances), how can we effectively (1) detect outliers, and (2) annotate/tag the outliers by ty…
Fast Attributed Graph Embedding via Density of States
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
Given a node-attributed graph, how can we efficiently represent it with few numerical features that expressively reflect its topology and attribute information? We propose A-DOGE,…
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu +1
Message Passing Neural Networks (MPNNs) are a common type of Graph Neural Network (GNN), in which each node's representation is computed recursively by aggregating representations…
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Martin Q. Ma, Yue Zhao, Xiaorong Zhang +1
Given an unsupervised outlier detection task, how should one select a detection algorithm as well as its hyperparameters (jointly called a model)? Unsupervised model selection is n…