P. Hellinckx

发表

DDoS defense system for web services in a cloud environment

Kannan Govindarajan, Thamarai Selvi Somasundaram, Peter Hellinckx, 2014, Future generations computer systems.

Learning to Communicate Using Counterfactual Reasoning

P. Hellinckx, Simon Vanneste, Astrid Vanneste, 2020, ArXiv.

The 5H resonance structure studied with a three-cluster J-matrix model

P. Hellinckx, J. Broeckhove, A. Nesterov, 2007 .

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning

Tom De Schepper, P. Hellinckx, Kevin Mets, 2022, ArXiv.

Smart Highway : ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies

Johann M. Márquez-Barja, B. Lannoo, I. Moerman, 2019 .

Structured Cognitive-Motor Dual Task Training Compared to Single Mobility Training in Persons with Multiple Sclerosis, a Multicenter RCT

P. Hellinckx, P. Feys, A. Kalron, 2019, Journal of clinical medicine.

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles

Siegfried Mercelis, Peter Hellinckx, Ali Anwar, 2020, 3PGCIC.

Learning to Communicate Using Counterfactual Reasoning

P. Hellinckx, Simon Vanneste, Astrid Vanneste, 2020, 2006.07200.

Smart Highway : ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies

Dries Naudts, Ingrid Moerman, Bart Braem, 2019 .

Requirements and Specifications for the Orchestration of Network Intelligence in 6G

Johann M. Márquez-Barja, P. Hellinckx, M. Fiore, 2022, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).

Transfer Learning in Autonomous Driving Using Real-World Samples

Steven Latré, Peter Hellinckx, Simon Vanneste, 2021, 3PGCIC.

Object Detection To Enable Autonomous Vessels On European Inland Waterways

P. Hellinckx, Kevin Mets, Simon Vanneste, 2022, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs

Steven Latré, Francesc Wilhelmi, Peter Hellinckx, 2021, Sensors.

Grid-Based Nuclear Physics Applications

Jan Broeckhove, Kurt Vanmechelen, Peter Hellinckx, 2009 .

Exploiting non-i.i.d. data towards more robust machine learning algorithms pdf

Peter Hellinckx, Wim Casteels, P. Hellinckx, 2020, ArXiv.

Responsiveness and meaningful improvement of mobility measures following MS rehabilitation

P. Hellinckx, P. Feys, A. Kalron, 2018, Neurology.

The CoBRA grid: a highly configurable lightweight grid

Jan Broeckhove, Peter Hellinckx, Frans Arickx, 2007, Int. J. Web Grid Serv..

Grid-user driven grid research, the CoBRA grid

P. Hellinckx, J. Broeckhove, W. Hendrickx, 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

User Experiences with Nuclear Physics Calculations on a H2O Metacomputing System and on the BEgrid

Jan Broeckhove, Kurt Vanmechelen, Peter Hellinckx, 2005, International Conference on Computational Science.

Real-time virtualization with Xvisor

Jan Broeckhove, Siegfried Mercelis, Peter Hellinckx, 2020, Internet Things.

Automated Testbench for Hybrid Machine Learning-Based Worst-Case Energy Consumption Analysis on Batteryless IoT Devices

Jeroen Famaey, Steven Latré, Siegfried Mercelis, 2021, Energies.

Sensors on Vehicles (SENSOVO) – Proof-of-concept for Road Surface Distress Detection with Wheel Accelerations and ToF Camera Data Collected by a Fleet of Ordinary Vehicles

Paul De Meulenaere, Luc Mertens, Peter Hellinckx, 2016 .

Dynamic problem-independent metacomputing characterization applied to the Condor system

T. Dhaene, Jan Broeckhove, Peter Hellinckx, 2003 .

A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes

P. Hellinckx, Steven Latré, Tim Verdonck, 2021, Frontiers in Sports and Active Living.

Predicting overall mass transfer coefficients of CO2 capture into monoethanolamine in spray columns with hybrid machine learning

Florence H. Vermeire, P. Hellinckx, T. Van Gerven, 2023, Journal of CO2 Utilization.

Adaptivity in multi-level traffic simulation using experimental frames

Joachim Denil, Siegfried Mercelis, Peter Hellinckx, 2021, Simulation Modelling Practice and Theory.

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

Enrique Onieva, Peter Hellinckx, Antonio D. Masegosa, 2020 .

Survey of the DASH7 Alliance Protocol for 433 MHz Wireless Sensor Communication

Glenn Ergeerts, Maarten Weyn, Peter Hellinckx, 2013, Int. J. Distributed Sens. Networks.

Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning pdf

Siegfried Mercelis, Peter Hellinckx, Steven Latré, 2021, 3PGCIC.

CNN-LSTM architecture for predictive indoor temperature modeling

P. Hellinckx, S. Latré, W. Casteels, 2021, Building and Environment.

Quality-Aware Compression of Point Clouds with Google Draco

Steven Latré, Ali Anwar, Peter Hellinckx, 2021, 3PGCIC.

Predicting LiDAR Data From Sonar Images

Jan Steckel, Peter Hellinckx, Niels Balemans, 2021, IEEE Access.

A Joint Perception Scheme For Connected Vehicles

Jens de Hoog, P. Hellinckx, Siegfried Mercelis, 2022, 2022 IEEE Sensors.

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model

Sylvain Watelet, P. Hellinckx, Steven Latré, 2022, Sensors.

Enhancement of road weather services using vehicle sensor data

Sylvain Watelet, P. Hellinckx, Steven Latré, 2022, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).

Designing resource-constrained neural networks using neural architecture search targeting embedded devices

Siegfried Mercelis, Peter Hellinckx, Stig Bosmans, 2020, Internet Things.

Requirements for distributed task placement in the fog

Reinout Eyckerman, Siegfried Mercelis, Johann M. Marquez-Barja, 2020, Internet Things.

Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability

Jan Broeckhove, Peter Hellinckx, Sam Verboven, 2008, Euro-Par.

Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality

Siegfried Mercelis, Peter Hellinckx, Jens de Hoog, 2019, BNAIC/BENELEARN.

Testing IoT systems using a hybrid simulation based testing approach

P. Hellinckx, Siegfried Mercelis, J. Denil, 2018, Computing.

A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment

Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx, 2018, BDIOT 2018.

Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip) pdf

Joachim Denil, Siegfried Mercelis, Peter Hellinckx, 2018, SpringSim.

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach

Joachim Denil, Siegfried Mercelis, Peter Hellinckx, 2020, MABS.

Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System pdf

Siegfried Mercelis, Peter Hellinckx, Stig Bosmans, 2021, 3PGCIC.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2019, Antwerp, Belgium, November 7-9, 2019

Leonard Barolli, Peter Hellinckx, Juggapong Natwichai, 2020, 3PGCIC.

Autonomous Building Control Using Offline Reinforcement Learning

Steven Latré, Furkan Elmaz, Reinout Eyckerman, 2021, 3PGCIC.

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning

Tom De Schepper, P. Hellinckx, Kevin Mets, 2023, arXiv.org.

Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services

Dries Naudts, Ingrid Moerman, Seilendria A. Hadiwardoyo, 2021, Future Internet.

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection

Siegfried Mercelis, Peter Hellinckx, Simon Vanneste, 2019, 3PGCIC.

Automatic Reverse Engineering of CAN Bus Data Using Machine Learning Techniques

Peter Hellinckx, Thomas Huybrechts, Yon Vanommeslaeghe, 2017, 3PGCIC.

TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research

Martin Schoeberl, Sebastian Altmeyer, Christine Rochange, 2016, WCET.

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices

Steven Latré, Peter Hellinckx, Kevin Mets, 2021, BNAIC/BENELEARN.

Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation

Jan Broeckhove, Peter Hellinckx, Sam Verboven, 2009, 2009 International Conference on Complex, Intelligent and Software Intensive Systems.

Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs

Jan Broeckhove, Peter Hellinckx, Sam Verboven, 2008, 2008 IEEE Asia-Pacific Services Computing Conference.

A Model for Data Enrichment over IoT Streams at Edges of Internet

Fatos Xhafa, Peter Hellinckx, Reinout Van Hille, 2018, 3PGCIC.

Context-Aware Distribution In Constrained IoT Environments

Reinout Eyckerman, Siegfried Mercelis, Peter Hellinckx, 2018, 3PGCIC.

Acsim: Towards Hyper-scalable Internet of Things Simulation

Joachim Denil, Siegfried Mercelis, Peter Hellinckx, 2017, 3PGCIC.

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning

Tom De Schepper, P. Hellinckx, Kevin Mets, 2023, ArXiv.

Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency

Reinout Eyckerman, Siegfried Mercelis, Peter Hellinckx, 2019, Future Internet.

Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing

Siegfried Mercelis, Peter Hellinckx, Stig Bosmans, 2018, 3PGCIC.

A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time

Siegfried Mercelis, Peter Hellinckx, Thomas Huybrechts, 2020, 3PGCIC.

A hybrid timing analysis method based on the isolation of software code block

Siegfried Mercelis, Peter Hellinckx, Ken Vanherpen, 2020, Internet Things.

This item is the archived peer-reviewed author-version of: Powerwindow : a multi-component TACLeBench benchmark for timing analysis

P. Hellinckx, P. D. Meulenaere, Haoxuan Li, 2022 .

Modeling Resource Prices in Grid Markets

Jan Broeckhove, Ramadan Arfa, Peter Hellinckx, 2012, 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Model Driven Engineering for Building Automation, a Research Agenda

Hans Vangheluwe, Peter Hellinckx, Philip Luyckx, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

J. F. Botero, P. Hellinckx, Steven Latré, 2021, Swiss Conference on Data Science.

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop

Steven Latré, Reinout Eyckerman, Siegfried Mercelis, 2021, 2021 International Conference on Information and Communication Technology Convergence (ICTC).

Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation

P. Hellinckx, Steven Latré, J. Márquez-Barja, 2022, NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.

FF-GAT: Feature Fusion Using Graph Attention Networks

P. Hellinckx, Steven Latré, Siegfried Mercelis, 2021, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society.

Towards a distributed real-time hybrid simulator for autonomous vehicles

Jens de Hoog, P. Hellinckx, Siegfried Mercelis, 2018, Computing.