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Cited by

• 2020Enhancing discrete choice models with representation learning152 cited
• 2022A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability77 cited
• 2023Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions26 cited
• 2022Spec guidance for engineering design based on data mining and neural networks18 cited
• 2025A multi-task Transformer with mixture-of-experts for personalized periodic predictions of individual travel behavior in multimodal public transport14 cited
• 2022Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms12 cited
• 2024Studying Spatial Unevenness of Transport Demand in Cities Using Machine Learning Methods10 cited
• 2022Two-stage procedure for transportation mode detection based on sighting data8 cited
• 2020Modelling Commuting Activities for the Simulation of Demand Responsive Transport in Rural Areas7 cited
• 2021Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities7 cited
• 2024Predicting and Analyzing Electric Bicycle Adoption to Enhance Urban Mobility in Belgrade Using ANN Models3 cited
• 2025How effective are discrete-continuous multi-task learning compared to single-output models? Insights from travel mode and departure time analysis3 cited