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Found 5 papers, 2 papers with code
Event-Event Relation Extraction using Probabilistic Box Embedding
To understand a story with multiple events, it is important to capture the proper relations across these events.
ICE-SEARCH: A Language Model-Driven Feature Selection Approach
This study unveils the In-Context Evolutionary Search (ICE-SEARCH) method, the first work that melds language models (LMs) with evolutionary algorithms for feature selection (FS) tasks and demonstrates its effectiveness in Medical Predictive Analytics (MPA) applications.
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
As modern software systems continue to grow in terms of complexity and volume, anomaly detection on multivariate monitoring metrics, which profile systems' health status, becomes more and more critical and challenging.
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
Our study demonstrates that logs and metrics can manifest system anomalies collaboratively and complementarily, and neither of them only is sufficient.
Schrödinger PCA: On the Duality between Principal Component Analysis and Schrödinger Equation
Counterintuitively, by drawing the connection between PCA and Schr\"odinger equation, we can not only attack the undersampling challenge but also compute in an efficient and decoupled way with the proposed algorithm called Schr\"odinger PCA.
