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20192026
most citedA Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI

44 citations · 44 across the 6 of their papers we have counts for

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cs.LG2026

path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

Claudio Meggio, Johan Pensar, Riccardo De Bin

We present path_boost, a Python package for interpretable supervised learning on graph-structured input data. The package implements PathBoost, a gradient boosting algorithm that a…

cs.LG2026

Path-Based Gradient Boosting for Graph-Level Prediction

Claudio Meggio, Johan Pensar, Riccardo De Bin

We propose PathBoost, a gradient tree boosting method for graph-level classification and regression that learns discriminative path-based features directly from the input graph str…