3 citations · 4 across the 9 of their papers we have counts for
3 papers · 1 filter
Exploring Interpretability in Deep Learning-Based Forest Classification - Separating Similar Forest Classes using Sentinel-2 Time Series
Maximilian Kirsch, Christine Preisach
The ecological insurance theory posits that diverse forests are more resilient and better able to adapt to changing environmental conditions. Increasing drought and heat stress in…
Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with nonconform
Oliver Hennhöfer, Maximilian Kirsch, Christine Preisach
Most anomaly detection systems output scores rather than calibrated decisions, leaving practitioners to choose thresholds heuristically and without clear statistical interpretation…
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
Oliver Hennhöfer, Christine Preisach
Standard conformal anomaly detection provides marginal finite-sample guarantees under the assumption of exchangeability . However, real-world data often exhibit distribution shifts…