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Titlebook: Human Modelling in Assisted Transportation; Models, Tools and Ri P. Carlo Cacciabue,Magnus Hjälmdahl,Costanza Ricci Conference proceedings

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the minority class. This paper proposes a reliability-based imbalanced data classification approach (RIC) with Dempster-Shafer theory to address this issue. First, based on the minority class, multiple under-sampling for the majority one are implemented to obtain the corresponding balanced training
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Yvonne Barnard,Oliver Carsten,Frank Laithe minority class. This paper proposes a reliability-based imbalanced data classification approach (RIC) with Dempster-Shafer theory to address this issue. First, based on the minority class, multiple under-sampling for the majority one are implemented to obtain the corresponding balanced training
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Fabio Tango,Raghav Aras,Olivier Pietquinthe minority class. This paper proposes a reliability-based imbalanced data classification approach (RIC) with Dempster-Shafer theory to address this issue. First, based on the minority class, multiple under-sampling for the majority one are implemented to obtain the corresponding balanced training
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Florian Frische,Jan-Patrick Osterloh,Andreas Lüdtkejunctive rules make them particularly attractive on a theoretic point of view. However, they are rarely used in practice except for the . = 1 case which corresponds to the widely used and well understood conjunctive and disjunctive rules. The lack of success of .-junctions when . < 1 is mainly expla
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Modeling Differences in Behavior Within and Between Driversigh accuracy under simulated driving conditions. Since that time new computational approaches and improved in-vehicle technology (e.g., GPS technology, advanced radar and video/computer vision, etc.) have moved the realization of this concept further along. Yet, one fundamental question still needs
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