479.575 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Del Ser, J.
in Cooperation with on an Cooperation-Score of 37%
Topics
- industry
- intelligence
- forecasting
- video
- time series
- data
- learning
- distance learning
- traffic data
- assessment
- traffic forecasting
- estimating
- neural network
- road
- highway traffic
- machinery
- machine learning
- big data
- bicycle
- optimisation
- bicycle lane
- mobility pattern
- abstract
- computer science
- automobile
- software
- internet
- mobility data
- sensor
- security
- telephone
- supporting
- cellular telephone
- connected vehicle
- explosion
- computer security
- mobility research
- algorithm
- surveillance
- wind
- buttress
- show 11 more
Publications
- 2021Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challengescitations
- 2021On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classificationcitations
- 2020New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Datacitations
- 2020Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessmentcitations
- 2020Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfallscitations
- 2019Adaptive long-term traffic state estimation with evolving spiking neural networkscitations
- 2019What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecastingcitations
- 2018On the imputation of missing data for road traffic forecasting: New insights and novel techniquescitations
- 2018Drift detection over non-stationary data streams using evolving spiking neural networkscitations
- 2018Big Data for transportation and mobility: Recent advances, trends and challengescitations
- 2018Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offscitations
- 2018Road traffic forecasting using neucube and dynamic evolving spiking neural networkscitations
- 2018Evolving Spiking Neural Networks for online learning over drifting data streamscitations
- 2018Road Traffic Forecasting: Recent Advances and New Challengescitations
- 2017Big Data in Road Transport and Mobility Researchcitations
- 2017A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecastingcitations
Places of action
