Siegfried Mercelis

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 84

Top Topics

Discretization Methods

Autonomous Vehicles

Reinforcement Learning

Top Venues

Internet Things

Publications

Linh Trinh, Ali Anwar, Siegfried Mercelis
Multiple data sources and domain generalization learning method for road surface defect classification. CoRR (2024)
Linh Trinh, Ali Anwar, Siegfried Mercelis
Improving classification of road surface conditions via road area extraction and contrastive learning. CoRR (2024)
Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP (2024)
Linh Trinh, Ali Anwar, Siegfried Mercelis
Data selection method for assessment of autonomous vehicles. CoRR (2024)
Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
Graph Attention Based Feature Fusion For Collaborative Perception. IV (2024)
Jens de Hoog, Ali Anwar, Peter Hellinckx, Siegfried Mercelis
Selection of image classifiers for noisy images through metalearning. ICMVA (2024)
Siemen Herremans, Ali Anwar, Siegfried Mercelis
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model. CoRR (2024)
Linh Trinh, Ali Anwar, Siegfried Mercelis
SeaDSC: A Video-Based Unsupervised Method for Dynamic Scene Change Detection in Unmanned Surface Vehicles. WACV (Workshops) (2024)
Alexander Michielsen, Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis
History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data. VEHITS (2024)
Linh Trinh, Ali Anwar, Siegfried Mercelis
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles. CoRR (2023)
Niels Balemans, Lucas Hooft, Philippe Reiter, Ali Anwar, Jan Steckel, Siegfried Mercelis
R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. SENSORS (2023)
Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, M. Enis Leblebici
Hybrid modelling of a batch separation process. Comput. Chem. Eng. 177 (2023)
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR (2023)
Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
Attention Based Feature Fusion For Multi-Agent Collaborative Perception. CoRR (2023)
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
SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Comput. Chem. Eng. 179 (2023)
Siemen Herremans, Ali Anwar, Arne Troch, Ian Ravijts, Maarten Vangeneugden, Siegfried Mercelis, Peter Hellinckx
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning. CoRR (2023)
Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR (2023)
Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR (2023)
Arne Troch, Erik Mannens, Siegfried Mercelis
Solving the Storage Location Assignment Problem Using Reinforcement Learning. ICMAI (2023)
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
The Second Monocular Depth Estimation Challenge. CVPR Workshops (2023)
Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx
Metamodelling of Noise to Image Classification Performance. IEEE Access 11 (2023)
Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, M. Enis Leblebici, Peter Hellinckx, Siegfried Mercelis
Reinforcement learning-based approach for optimizing solvent-switch processes. Comput. Chem. Eng. 176 (2023)
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
The Second Monocular Depth Estimation Challenge. CoRR (2023)
Justus Rajappa Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey
An Energy Management Unit for Predictive Solar Energy Harvesting IoT. IoTBDS (2023)
Stef Jacobs, Sara Ghane, Ali Anwar, Siegfried Mercelis, Peter Hellinckx, Ivan Verhaert
Reinforcement learning based mass flow and supply temperature control for combined heat distribution. IECON (2022)
Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
Improving Context-Aware Synthesis and Placement of Object Instances. 3PGCIC (2022)
Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
Adaptivity in multi-level traffic simulation using experimental frames. Simul. Model. Pract. Theory 114 (2022)
Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
Autonomous Navigation Using Model-Based Reinforcement Learning. 3PGCIC (2022)
Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR (2022)
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON (2022)
Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. IECON (2022)
Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
A Joint Perception Scheme For Connected Vehicles. IEEE SENSORS (2022)
Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx
Supply temperature control of a heating network with reinforcement learning. ISC2 (2021)
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC (2021)
Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Márquez-Barja, Ingrid Moerman
Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services. Future Internet 13 (3) (2021)
Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. CoRR (2021)
Reinout Eyckerman, Phillipe Reiter, Siegfried Mercelis, Steven Latré, Johann Márquez-Barja, Peter Hellinckx
A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. ICTC (2021)
Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx
FF-GAT: Feature Fusion Using Graph Attention Networks. IECON (2021)
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC (2021)
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. CoRR (2021)
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning. CoRR (2021)
Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx
Requirements for distributed task placement in the fog. Internet Things 12 (2020)
Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
Online reverse engineering of CAN data. Internet Things 11 (2020)
Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx
Learning to Communicate Using Counterfactual Reasoning. CoRR (2020)
Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
Applying Artificial Intelligence for the Detection and Analysis of Weather Phenomena in Vehicle Sensor Data. 3PGCIC (2020)
Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. MABS (2020)
Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx
DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework. Internet Things 11 (2020)
Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx
A hybrid timing analysis method based on the isolation of software code block. Internet Things 11 (2020)
Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx
Real-time virtualization with Xvisor. Internet Things 11 (2020)
Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere
Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems. MECO (2020)
Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
Towards the Generalization of Distributed Software Communication. 3PGCIC (2020)
Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
Resource efficient sensor fusion by knowledge-based network pruning. Internet Things 11 (2020)
Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
Intelligent Data Sharing in Digital Twins: Positioning Paper. 3PGCIC (2020)
Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx
Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment. IoTSMS (2020)
Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. 3PGCIC (2020)
Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
Designing resource-constrained neural networks using neural architecture search targeting embedded devices. Internet Things 12 (2020)
Siegfried Mercelis, Sylvain Watelet, Wim Casteels, Toon Bogaerts, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx
Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets. VTC Spring (2020)
Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx
A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time. 3PGCIC (2020)
Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx
Distributed Task Placement in the Fog: A Positioning Paper. 3PGCIC (2019)
Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx
Impact of software architecture on execution time: a power window TACLeBench case study. Int. J. Grid Util. Comput. 10 (2) (2019)
Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. 3PGCIC (2019)
Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx
Towards a distributed real-time hybrid simulator for autonomous vehicles. Computing 101 (7) (2019)
Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
Testing IoT systems using a hybrid simulation based testing approach. Computing 101 (7) (2019)
Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. SpringSim (2019)
Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. 3PGCIC (2019)
Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework. 3PGCIC (2019)
Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx
Online Reverse Engineering of CAN Data. 3PGCIC (2019)
Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. 3PGCIC (2019)
Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency. Future Internet 11 (7) (2019)
Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality. BNAIC/BENELEARN (2019)
Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). SpringSim (TMS) (2018)
Thomas Huybrechts, Thomas Cassimon, Siegfried Mercelis, Peter Hellinckx
Introduction of Deep Neural Network in Hybrid WCET Analysis. 3PGCIC (2018)
Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
Challenges of Modeling and Simulating Internet of Things Systems. 3PGCIC (2018)
Rafael Berkvens, Ivan Herrera Olivares, Siegfried Mercelis, Lucinda Kirkpatrick, Maarten Weyn
Contact Detection for Social Networking of Small Animals. 3PGCIC (2018)
Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx
Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. 3PGCIC (2018)
Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing. 3PGCIC (2018)
Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
Context-Aware Distribution In Constrained IoT Environments. 3PGCIC (2018)
Muddsair Sharif, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx
A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment. BDIOT (2018)
Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx
A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. WCET (2018)
Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. CoRR (2018)
Frédéric Melaerts, Siegfried Mercelis, Marc Ceulemans, Peter Hellinckx
Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site. 3PGCIC (2017)
Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx
Acsim: Towards Hyper-scalable Internet of Things Simulation. 3PGCIC (2017)
Muddsair Sharif, Siegfried Mercelis, Wim Van Den Bergh, Peter Hellinckx
Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things. BDIOT (2017)
Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators. 3PGCIC (2017)
Siegfried Mercelis, Guido Van den Berghe, Serge Demeyer, Marijn Temmerman
An Initial Investigation of a Multi-layered Approach for Optimizing and Parallelizing Real-Time Media and Audio Applications. 3PGCIC (2013)