Jelle Hofman

Orcid: 0000-0002-3450-6531

According to our database1, Jelle Hofman authored at least 10 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density.
Remote. Sens., 2022

Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds.
Environ. Model. Softw., 2022

Conditional Variational Graph Autoencoder for Air Quality Forecasting.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network.
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

2020
Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors.
IEEE Internet Things J., 2020

Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

The Air Quality Paradigm inside Car Microenvironments; Balancing between PM2.5 and CO2 Offsets.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network.
Proceedings of the Science and Technologies for Smart Cities, 2019


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