Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,694 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Jan 202519922001200920172026
1 result for “bluebottles”
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Predictioncs.LG

Machine learning models predict bluebottles' presence on beaches, addressing class imbalance and unreliable absence data.

problem Predicting bluebottles' presence on beaches with machine learning, tackling class imbalance and unreliable absence data.
method Used Multilayer Perceptron, Random Forest, and XGBoost models; employed data augmentation techniques like SMOTE, Random Undersampling, and Synthetic Negative Approach.
result Random Forests combined with Synthetic Negative Approach provided the best predictive model, identifying wind direction as a key factor.
bluebottlesmarine stingersmachine learningclass imbalanceunreliable absence
2025-01-20abs ↗pdf ↗