469.901 PEOPLE
| People | Locations | Statistics |
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| Sourd, Romain Crastes Dit |
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| Marton, Peter |
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| Toaza, Bladimir |
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| Lubashevsky, Katrin |
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| Ambros, Jiří |
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| Niederdränk, Simon |
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| Khoshkha, Kaveh |
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| Brenner, Thomas |
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| Badea, Andrei | Delft |
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| Michálek, Tomáš | Pardubice |
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| Jensen, Anders Fjendbo | Kongens Lyngby |
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| Le Goff, A. |
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| Greer, Ross |
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| Gutiérrez, Javier | Madrid |
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| Sagues, Mikel |
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| Eggermond, Michael Van |
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| Milica Milovanović, M. |
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| Carrasco, Juan-Antonio |
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| Groen, Eric L. |
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| Tzenos, Panagiotis |
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| Mesas, Juan-José |
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| Oikonomou, Maria G. |
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| Messiou, Chrysovalanto |
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| Giuliani, Felice |
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| Roussou, Julia |
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Laña, Ibai
Universidad de Deusto
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (40/40 displayed)
- 2024Uncertainty Estimation for Energy Consumption Nowcasting
- 2024Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionabilitycitations
- 2023A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profilescitations
- 2022Deep Learning for Road Traffic Forecasting: Does it Make a Difference?citations
- 2021Model Free Identification of Traffic Conditions Using Unmanned Aerial Vehicles and Deep Learningcitations
- 2021Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challengescitations
- 2021From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionabilitycitations
- 2021On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
- 2021On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classificationcitations
- 2020Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfallscitations
- 2020Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls
- 2020From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability
- 2020Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networkscitations
- 2020Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessmentcitations
- 2020Deep learning for road traffic forecasting: Does it make a difference?
- 2020Deep echo state networks for short-term traffic forecasting: Performance comparison and statistical assessment
- 2020On the transferability of knowledge among vehicle routing problems by using cellular evolutionary multitaskingcitations
- 2020New perspectives on the use of online learning for congestion level prediction over traffic data
- 2020Effect of Soccer Games on Traffic, Study Case: Madridcitations
- 2020Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systemscitations
- 2019Adaptive long-term traffic state estimation with evolving spiking neural networkscitations
- 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
- 2018Big Data in Road Transport and Mobility Researchcitations
- 2018Multi-objective optimization of bike routes for last-mile package delivery with drop-offscitations
- 2018Evolving Spiking Neural Networks for online learning over drifting data streamscitations
- 2018Drift detection over non-stationary data streams using evolving spiking neural networkscitations
- 2018Road traffic forecasting using neucube and dynamic evolving spiking neural networkscitations
- 2018Big data in road transport and mobility researchcitations
- 2018Modelling and analysis of temporal gene expression data using spiking neural networkscitations
- 2018On the imputation of missing data for road traffic forecasting: New insights and novel techniquescitations
- 2018Big Data for transportation and mobility: Recent advances, trends and challengescitations
- 2017A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecastingcitations
- 2017Big data in road transport and mobility research
- 2017Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networkscitations
- 2017A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analyticscitations
- 2017Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteriacitations
- 2016The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in Madrid, Spaincitations
- 2016A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Driftcitations
- 2016Understanding daily mobility patterns in urban road networks using traffic flow analyticscitations
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