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An Explainable Stacked Ensemble Model for Static Route‐Free ...


An Explainable Stacked Ensemble Model for Static Route ... - arXiv

Title:An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival ; Subjects: Machine Learning (cs.LG); Machine ...

An Explainable Stacked Ensemble Model for Static Route‐Free ...

We propose a novel stacked two-level ensemble model combining multiple ETA models; we show that the stacked model outperforms state-of-the-art ML models.

[PDF] An Explainable Stacked Ensemble Model for Static Route ...

This work combines multiple machine learning models from previous work for ETA into a two-level ensemble model - a stacked ensemble model which on its own ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

Original version. Schleibaum, S.; Müller, J.P.; Sester, M.: An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival. In ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival ... To compare alternative taxi schedules and to compute ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival ... Sustainable concepts for on-demand transportation, ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

This novel concept enables us to explain stacked ensembles for regression tasks. The experimental evaluation indicates that the considered ETA models correctly ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival. 2022. ·. arXiv.

An Explainable Stacked Ensemble Model for Static Route-Free ...

To compare alternative taxi schedules and to compute them, as well as to provide insights into an upcoming taxi trip to drivers and passengers, the duration ...

An Explainable Stacked Ensemble Model for Static Route-Free ...

Article "An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival" Detailed information of the J-GLOBAL is an information ...

Stat.ML Papers on X: "An Explainable Stacked Ensemble Model for ...

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival. (arXiv:2203.09438v2 [cs.

Stacked ETA and Explanation - GitLab - TU Clausthal

Sören Schleibaum, Jörg P. Müller, and Monika Sester. “An Explainable Stacked Ensemble Model for439 Static Route-Free Estimation of Time of ...

‪Sören Schleibaum‬ - ‪Μελετητής Google‬ - Google Scholar

An Explainable Stacked Ensemble Model for Static Route‐Free Estimation of Time of Arrival. S Schleibaum, JP Müller, M Sester. Journal of Advanced Transportation ...

Taxi Trip Travel Time Prediction with Isolated XGBoost Regression

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival · Computer Science. ArXiv · 2022.

A Stacking Ensemble Machine Learning Model for Emergency Call ...

An accurate forecast of. EMS calls is involved in ambulance fleet dispatching and routing to minimize response times to emergency calls and ...

4 - OUCI

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival. Sören Schleibaum, Jörg P. Müller, Monika Sester. Sustainable ...

Applying an Improved Stacking Ensemble Model to Predict the ...

The different meta classifiers were tested and the best performing estimators were selected. The predictive capabilities of our stacking model outperform the ...

ICML 2024 Papers

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting ... Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ...

StackingClassifier — scikit-learn 1.7.dev0 documentation

Stacked generalization consists in stacking the output of individual estimator and use a classifier to compute the final prediction.

Ensemble learning - Wikipedia

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from ...