Jens de Hoog

Orcid: 0000-0003-0032-2029

According to our database1, Jens de Hoog authored at least 18 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Metamodelling of Noise to Image Classification Performance.
IEEE Access, 2023

2022
A Joint Perception Scheme For Connected Vehicles.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

Improving Context-Aware Synthesis and Placement of Object Instances.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021
Transfer Learning in Autonomous Driving Using Real-World Samples.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Quality-Aware Compression of Point Clouds with Google Draco.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

2020
Online reverse engineering of CAN data.
Internet Things, 2020

Resource efficient sensor fusion by knowledge-based network pruning.
Internet Things, 2020

Intelligent Data Sharing in Digital Twins: Positioning Paper.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

2019
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency.
Future Internet, 2019

Towards a distributed real-time hybrid simulator for autonomous vehicles.
Computing, 2019

Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Online Reverse Engineering of CAN Data.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018
Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing.
Proceedings of the Advances on P2P, 2018

Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles.
Proceedings of the Advances on P2P, 2018


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