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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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| 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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| Okwara, Ukoha Kalu |
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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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Ser, J. D.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2021Deep Learning for Road Traffic Forecasting: Does It Make a Difference?citations
- 2021On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
- 2020Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls
- 2020New perspectives on the use of online learning for congestion level prediction over traffic data
- 2020From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability
- 2020Deep echo state networks for short-term traffic forecasting: Performance comparison and statistical assessment
- 2020Deep learning for road traffic forecasting: Does it make a difference?
- 2020On the transferability of knowledge among vehicle routing problems by using cellular evolutionary multitaskingcitations
- 2020Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systemscitations
- 2019Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimatescitations
- 2019Nature-inspired metaheuristics for optimizing information dissemination in vehicular networkscitations
- 2019Road Traffic Forecasting using Stacking Ensembles of Echo State Networkscitations
- 2019A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionabilitycitations
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