380.256 PEOPLE
| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Pereira, Francisco Camara
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (38/38 displayed)
- 2023Unboxing the graphcitations
- 2023“Is Not the Truth the Truth?”citations
- 2023Unboxing the graph:Towards interpretable graph neural networks for transport prediction through neural relational inferencecitations
- 2023Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performancecitations
- 2022Predictive and prescriptive performance of bike-sharing demand forecasts for inventory managementcitations
- 2022Scaling motorcycle helmet use registration by applying computer vision to crowd-sourced images
- 2022Scaling motorcycle helmet use registration by applying computer vision to crowd-sourced images
- 2022Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
- 2022QTIP: Quick simulation-based adaptation of traffic model per incident parameterscitations
- 2022Open vs closed-ended questions in attitudinal surveys – Comparing, combining, and interpreting using natural language processingcitations
- 2021Transport behavior-mining from smartphones: a reviewcitations
- 2021Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systemscitations
- 2021Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
- 2021Latent class choice model with a flexible class membership component: A mixture model approachcitations
- 2021Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysiscitations
- 2021Context-Aware Sensing and Implicit Ground Truth Collection: Building a Foundation for Event Triggered Surveys on Autonomous Shuttles
- 2020How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessmentcitations
- 2020Stop detection for smartphone-based travel surveys using geo-spatial context and artificial neural networkscitations
- 2020Online Framework for Demand-Responsive Stochastic Route Optimization
- 2020Deep Survival Modelling for Shared Mobility
- 2020Prediction of rare feature combinations in population synthesis: Application of deep generative modellingcitations
- 2020Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmarkcitations
- 2020Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Informationcitations
- 2019Factors driving the adoption of mobility-management travel app: a bayesian structural equation modelling analysis
- 2019Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputationcitations
- 2019Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modelingcitations
- 2019Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trustcitations
- 2019Multi-step ahead prediction of taxi demand using time-series and textual datacitations
- 2019Participating in environmental loyalty program with a real-time multimodal travel app: User needs, environmental and privacy motivatorscitations
- 2019Participating in environmental loyalty program with a real-time multimodal travel app: User needs, environmental and privacy motivatorscitations
- 2019Scalable Population Synthesis with Deep Generative Modeling
- 2019How to generate micro-agents? A deep generative modeling approach to population synthesiscitations
- 2019Active learning metamodeling for policy analysis: Application to an emergency medical service simulatorcitations
- 2019Multi-output bus travel time prediction with convolutional LSTM neural networkcitations
- 2018Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic datacitations
- 2018Overview of traffic incident duration analysis and predictioncitations
- 2018Population Synthesis Meets Deep Generative Modelling
- 2015DynaMIT2.0: architecture design and preliminary results on real-time data fusion for traffic prediction and crisis managementcitations
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