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Martin Raubal

On the potential of Optimal Transport in Geospatial Data Science

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Oct 15, 2024
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Context-aware knowledge graph framework for traffic speed forecasting using graph neural network

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Jul 25, 2024
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Counterfactual Explanations for Deep Learning-Based Traffic Forecasting

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May 01, 2024
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Revealing behavioral impact on mobility prediction networks through causal interventions

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Nov 20, 2023
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Where you go is who you are -- A study on machine learning based semantic privacy attacks

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Oct 26, 2023
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Uncertainty Quantification for Image-based Traffic Prediction across Cities

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Aug 11, 2023
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Evaluating geospatial context information for travel mode detection

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May 30, 2023
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Spatially-Aware Car-Sharing Demand Prediction

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Mar 25, 2023
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Context-aware multi-head self-attentional neural network model for next location prediction

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Dec 04, 2022
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Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis

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Oct 18, 2022
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