Siegfried Mercelis

According to our database, Siegfried Mercelis authored at least 86 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LiDAR-BIND: Multi-Modal Sensor Fusion Through Shared Latent Embeddings.

Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis

IEEE Robotics Autom. Lett., November, 2024

Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search.

Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets

CoRR, 2024

Scalable Reinforcement Learning-based Neural Architecture Search.

Amber Cassimon, Siegfried Mercelis, Kevin Mets

CoRR, 2024

Improving classification of road surface conditions via road area extraction and contrastive learning.

Linh Trinh, Ali Anwar, Siegfried Mercelis

CoRR, 2024

Data selection method for assessment of autonomous vehicles.

Linh Trinh, Ali Anwar, Siegfried Mercelis

CoRR, 2024

Multiple data sources and domain generalization learning method for road surface defect classification.

Linh Trinh, Ali Anwar, Siegfried Mercelis

CoRR, 2024

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model.

Siemen Herremans, Ali Anwar, Siegfried Mercelis

CoRR, 2024

CollabGAT: Collaborative Perception Using Graph Attention Network.

Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar

IEEE Access, 2024

SeaDSC: A Video-Based Unsupervised Method for Dynamic Scene Change Detection in Unmanned Surface Vehicles.

Linh Trinh, Ali Anwar, Siegfried Mercelis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study.

Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data.

Alexander Michielsen, Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

Graph Attention Based Feature Fusion For Collaborative Perception.

Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Selection of image classifiers for noisy images through metalearning.

Jens de Hoog, Ali Anwar, Peter Hellinckx, Siegfried Mercelis

Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes ^*.

Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis

Proceedings of the 10th International Conference on Control, 2024

2023

SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes.

Min Wu, Ulderico Di Caprio, Furkan Elmaz, Florence H. Vermeire, Bert Metten, Olivier Van Der Ha, Dries De Clercq, Siegfried Mercelis, Peter Hellinckx, Leen Braeken, Mumin Enis Leblebici

Comput. Chem. Eng., November, 2023

Hybrid modelling of a batch separation process.

Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici

Comput. Chem. Eng., September, 2023

Reinforcement learning-based approach for optimizing solvent-switch processes.

Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis

Comput. Chem. Eng., August, 2023

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning.

Siemen Herremans, Ali Anwar, Arne Troch, Ian Ravijts, Maarten Vangeneugden, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

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

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

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

Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

Attention Based Feature Fusion For Multi-Agent Collaborative Perception.

Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar

CoRR, 2023

Metamodelling of Noise to Image Classification Performance.

Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx

IEEE Access, 2023

An Energy Management Unit for Predictive Solar Energy Harvesting IoT.

Justus Rajappa Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey

Proceedings of the 8th International Conference on Internet of Things, 2023

R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks.

Niels Balemans, Lucas Hooft, Philippe Reiter, Ali Anwar, Jan Steckel, Siegfried Mercelis

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Solving the Storage Location Assignment Problem Using Reinforcement Learning.

Arne Troch, Erik Mannens, Siegfried Mercelis

Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

The Second Monocular Depth Estimation Challenge.

Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adaptivity in multi-level traffic simulation using experimental frames.

Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Simul. Model. Pract. Theory, 2022

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

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx

CoRR, 2022

A Joint Perception Scheme For Connected Vehicles.

Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways.

Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Reinforcement learning based mass flow and supply temperature control for combined heat distribution.

Stef Jacobs, Sara Ghane, Ali Anwar, Siegfried Mercelis, Peter Hellinckx, Ivan Verhaert

Proceedings of the IECON 2022, 2022

Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling.

Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.

Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

Improving Context-Aware Synthesis and Placement of Object Instances.

Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021

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

Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Márquez-Barja, Ingrid Moerman

Future Internet, 2021

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark.

Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx

CoRR, 2021

Supply temperature control of a heating network with reinforcement learning.

Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx

Proceedings of the IEEE International Smart Cities Conference, 2021

FF-GAT: Feature Fusion Using Graph Attention Networks.

Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the IECON 2021, 2021

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

Reinout Eyckerman, Philippe Reiter, Siegfried Mercelis, Steven Latré, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

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

Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

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

Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

2020

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

Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework.

Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Online reverse engineering of CAN data.

Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Requirements for distributed task placement in the fog.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Internet Things, 2020

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

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Real-time virtualization with Xvisor.

Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx

Internet Things, 2020

Resource efficient sensor fusion by knowledge-based network pruning.

Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Learning to Communicate Using Counterfactual Reasoning.

Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx

CoRR, 2020

Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets.

Siegfried Mercelis, Sylvain Watelet, Wim Casteels, Toon Bogaerts, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems.

Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

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

Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Proceedings of the Multi-Agent-Based Simulation XXI - 21st International Workshop, 2020

Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the 7th International Conference on Internet of Things: Systems, 2020

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

Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards the Generalization of Distributed Software Communication.

Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Intelligent Data Sharing in Digital Twins: Positioning Paper.

Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Applying Artificial Intelligence for the Detection and Analysis of Weather Phenomena in Vehicle Sensor Data.

Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles.

Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

2019

Impact of software architecture on execution time: a power window TACLeBench case study.

Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

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

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Future Internet, 2019

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

Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx

Computing, 2019

Testing IoT systems using a hybrid simulation based testing approach.

Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Computing, 2019

Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation.

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

Proceedings of the 2019 Spring Simulation Conference, 2019

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

Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks.

Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework.

Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Online Reverse Engineering of CAN Data.

Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Distributed Task Placement in the Fog: A Positioning Paper.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices.

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

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

Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018

Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques.

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

CoRR, 2018

A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning.

Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 18th International Workshop on Worst-Case Execution Time Analysis, 2018

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

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

Proceedings of the Theory of Modeling and Simulation Symposium, 2018

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

Muddsair Sharif, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things, 2018

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

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Introduction of Deep Neural Network in Hybrid WCET Analysis.

Thomas Huybrechts, Thomas Cassimon, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles.

Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Context-Aware Distribution In Constrained IoT Environments.

Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Challenges of Modeling and Simulating Internet of Things Systems.

Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Contact Detection for Social Networking of Small Animals.

Rafael Berkvens, Ivan Herrera Olivares, Siegfried Mercelis, Lucinda Kirkpatrick, Maarten Weyn

Proceedings of the Advances on P2P, 2018

2017

Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things.

Muddsair Sharif, Siegfried Mercelis, Wim Van Den Bergh, Peter Hellinckx

Proceedings of the International Conference on Big Data and Internet of Things, 2017

Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators.

Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site.

Frédéric Melaerts, Siegfried Mercelis, Marc Ceulemans, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

Acsim: Towards Hyper-scalable Internet of Things Simulation.

Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

2016

A systematic multi-layered approach for optimizing and parallelizing real-time media and audio applications

Siegfried Mercelis

PhD thesis, 2016

2013

An Initial Investigation of a Multi-layered Approach for Optimizing and Parallelizing Real-Time Media and Audio Applications.

Siegfried Mercelis, Guido Van den Berghe, Serge Demeyer, Marijn Temmerman

Proceedings of the Eighth International Conference on P2P, 2013