Siegfried Mercelis

118 papers C 11Journal 52Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimized Hyperdimensional Edge AI Evaluation for Efficiency and Reliability under Real Radiation. ACM Trans. Embed. Comput. Syst. Justus Rajappa Anuj, Laura Smets, Philippe Reiter, Paolo Rech, Ynte Vanderhoydonc, Ritesh Kumar Singh, Siegfried Mercelis, Jeroen Famaey
2025	J	`jnl`	A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations. CoRR Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis
2025	J	`jnl`	ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research. CoRR Bavo Lesy, Siemen Herremans, Robin Kerstens, Jan Steckel, Walter Daems, Siegfried Mercelis, Ali Anwar
2025	—	`conf`	Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning. L4DC Arne Troch, Kevin Mets, Siegfried Mercelis
2025	—	`conf`	Capacity Freight Volume Prediction for Metro Depot and Transport. CCEAI Hansi Denis, Ngoc Quang Luong, Andreas Gavrielides, Siegfried Mercelis
2025	J	`jnl`	Designing a Classifier for Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets
2025	—	`conf`	GIFF: Graph Iterative Attention Based Feature Fusion for Collaborative Perception. VISIGRAPP (2): VISAPP Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
2025	C	`conf`	Hybrid Framework for Real-Time Traffic Flow Estimation Using Breadth-First Search. VEHITS Sajjad Mahdaviabbasabad, Ynte Vanderhoydonc, Roeland Vandenberghe, Siegfried Mercelis
2025	J	`jnl`	Learning to communicate using a communication critic and counterfactual reasoning. Neural Comput. Appl. Simon Vanneste, Astrid Vanneste, Kevin Mets, Tom De Schepper, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2025	J	`jnl`	LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications. CoRR Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis
2025	J	`jnl`	Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems. ACM Trans. Intell. Syst. Technol. Sara Ghane, Stef Jacobs, Thomas Huybrechts, Peter Hellinckx, Siegfried Mercelis, Ivan Verhaert, Erik Mannens
2025	J	`jnl`	PAPN: Proximity Attention Encoder and Pointer Network Decoder for Parcel Pickup Route Prediction. CoRR Hansi Denis, Siegfried Mercelis, Ngoc Quang Luong
2025	—	`conf`	Real-World Implementation of Offline Model-Free Reinforcement Learning for Thermostat Control. ICM Sara Ghane, Furkan Elmaz, Stef Jacobs, Thomas Huybrechts, Ivan Verhaert, Siegfried Mercelis, Erik Mannens
2025	J	`jnl`	Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning. CoRR Dieter Balemans, Thomas Huybrechts, Jan Steckel, Siegfried Mercelis
2025	J	`jnl`	Robust Reinforcement Learning in a Sample-Efficient Setting. Trans. Mach. Learn. Res. Siemen Herremans, Ali Anwar, Siegfried Mercelis
2025	J	`jnl`	Scalable reinforcement learning-based neural architecture search. Neural Comput. Appl. Amber Cassimon, Siegfried Mercelis, Kevin Mets
2024	J	`jnl`	A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. CoRR Linh Trinh, Siegfried Mercelis, Ali Anwar
2024	J	`jnl`	CollabGAT: Collaborative Perception Using Graph Attention Network. IEEE Access Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
2024	—	`conf`	Data Selection Method for Assessment of Autonomous Vehicles. ITSC Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	Data selection method for assessment of autonomous vehicles. CoRR Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	—	`conf`	Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas
2024	J	`jnl`	Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search. CoRR Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets
2024	C	`conf`	Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes CoDIT Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis
2024	J	`jnl`	Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping. CoRR Bavo Lesy, Ali Anwar, Siegfried Mercelis
2024	—	`conf`	Genetic NEAT-Based Method for Multi-Class Classification. ACAI Abdallah Alfaham, Stijn Van Raemdonck, Siegfried Mercelis
2024	C	`conf`	Graph Attention Based Feature Fusion For Collaborative Perception. IV Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
2024	C	`conf`	History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data. VEHITS Alexander Michielsen, Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis
2024	C	`conf`	Improving classification of road surface conditions via road area extraction and contrastive learning. IECON Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	Improving classification of road surface conditions via road area extraction and contrastive learning. CoRR Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	LiDAR-BIND: Multi-Modal Sensor Fusion Through Shared Latent Embeddings. IEEE Robotics Autom. Lett. Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis
2024	—	`conf`	Multi-Modal Sensor Fusion in Latent Embedding Space for Robust Autonomous Navigation. IEEE SENSORS Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis
2024	—	`conf`	Multiple Data Sources and Domain Generalization Learning Method for Road Surface Defect Classification. ITSC Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	Multiple data sources and domain generalization learning method for road surface defect classification. CoRR Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model. CoRR Siemen Herremans, Ali Anwar, Siegfried Mercelis
2024	J	`jnl`	Scalable Reinforcement Learning-based Neural Architecture Search. CoRR Amber Cassimon, Siegfried Mercelis, Kevin Mets
2024	—	`conf`	SeaDSC: A Video-Based Unsupervised Method for Dynamic Scene Change Detection in Unmanned Surface Vehicles. WACV (Workshops) Linh Trinh, Ali Anwar, Siegfried Mercelis
2024	—	`conf`	Selection of image classifiers for noisy images through metalearning. ICMVA Jens de Hoog, Ali Anwar, Peter Hellinckx, Siegfried Mercelis
2024	J	`jnl`	Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. CoRR Amber Cassimon, Siegfried Mercelis, Kevin Mets
2024	—	`conf`	Towards Efficient Rail Transportation: Bayesian Network Modeling for Predicting Passenger Train Delays Using Secondary Train Information. CAI Maarten Vangeneugden, Ngoc Quang Luong, Siegfried Mercelis
2024	—	`conf`	Transfer Learning for Traffic State Predictions in Small and Medium-Sized Cities. 3PGCIC Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis, Laure De Cock, Thomas Kusmirczak, Tamara De Swert
2023	C	`conf`	An Energy Management Unit for Predictive Solar Energy Harvesting IoT. IoTBDS Justus Rajappa Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey
2023	J	`jnl`	An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	J	`jnl`	Attention Based Feature Fusion For Multi-Agent Collaborative Perception. CoRR Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
2023	J	`jnl`	Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning. CoRR Siemen Herremans, Ali Anwar, Arne Troch, Ian Ravijts, Maarten Vangeneugden, Siegfried Mercelis, Peter Hellinckx
2023	J	`jnl`	Hybrid modelling of a batch separation process. Comput. Chem. Eng. Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici
2023	J	`jnl`	Metamodelling of Noise to Image Classification Performance. IEEE Access Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx
2023	—	`conf`	Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets
2023	—	`conf`	R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. SENSORS Niels Balemans, Lucas Hooft, Philippe Reiter, Ali Anwar, Jan Steckel, Siegfried Mercelis
2023	J	`jnl`	Reinforcement learning-based approach for optimizing solvent-switch processes. Comput. Chem. Eng. Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis
2023	J	`jnl`	SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Comput. Chem. Eng. 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
2023	J	`jnl`	Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	J	`jnl`	Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	J	`jnl`	SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles. CoRR Linh Trinh, Ali Anwar, Siegfried Mercelis
2023	—	`conf`	Solving the Storage Location Assignment Problem Using Reinforcement Learning. ICMAI Arne Troch, Erik Mannens, Siegfried Mercelis
2023	—	`conf`	The Second Monocular Depth Estimation Challenge. CVPR Workshops 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
2023	J	`jnl`	The Second Monocular Depth Estimation Challenge. CoRR 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
2022	—	`conf`	A Joint Perception Scheme For Connected Vehicles. IEEE SENSORS Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2022	J	`jnl`	Adaptivity in multi-level traffic simulation using experimental frames. Simul. Model. Pract. Theory Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
2022	J	`jnl`	An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2022	—	`conf`	Autonomous Navigation Using Model-Based Reinforcement Learning. 3PGCIC Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2022	—	`conf`	Improving Context-Aware Synthesis and Placement of Object Instances. 3PGCIC Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
2022	C	`conf`	Reinforcement learning based mass flow and supply temperature control for combined heat distribution. IECON Stef Jacobs, Sara Ghane, Ali Anwar, Siegfried Mercelis, Peter Hellinckx, Ivan Verhaert
2022	C	`conf`	Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2022	C	`conf`	Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. IECON Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2021	—	`conf`	A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. ICTC Reinout Eyckerman, Philippe Reiter, Siegfried Mercelis, Steven Latré, Johann Marquez-Barja, Peter Hellinckx
2021	J	`jnl`	A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. CoRR Amber Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	C	`conf`	FF-GAT: Feature Fusion Using Graph Attention Networks. IECON Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	—	`conf`	Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	J	`jnl`	Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. CoRR Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	J	`jnl`	Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	—	`conf`	Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021	—	`conf`	Supply temperature control of a heating network with reinforcement learning. ISC2 Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx
2021	J	`jnl`	Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services. Future Internet Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Marquez-Barja, Ingrid Moerman
2020	—	`conf`	A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time. 3PGCIC Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx
2020	J	`jnl`	A hybrid timing analysis method based on the isolation of software code block. Internet Things Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx
2020	C	`conf`	Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. MABS Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
2020	—	`conf`	Applying Artificial Intelligence for the Detection and Analysis of Weather Phenomena in Vehicle Sensor Data. 3PGCIC Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
2020	—	`conf`	Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems. MECO Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere
2020	J	`jnl`	DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework. Internet Things Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx
2020	J	`jnl`	Designing resource-constrained neural networks using neural architecture search targeting embedded devices. Internet Things Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
2020	—	`conf`	Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment. IoTSMS Reinout Eyckerman, Siegfried Mercelis, Johann Marquez-Barja, Peter Hellinckx
2020	—	`conf`	Intelligent Data Sharing in Digital Twins: Positioning Paper. 3PGCIC Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2020	J	`jnl`	Learning to Communicate Using Counterfactual Reasoning. CoRR Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx
2020	J	`jnl`	Online reverse engineering of CAN data. Internet Things Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
2020	J	`jnl`	Real-time virtualization with Xvisor. Internet Things Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx
2020	J	`jnl`	Requirements for distributed task placement in the fog. Internet Things Reinout Eyckerman, Siegfried Mercelis, Johann Marquez-Barja, Peter Hellinckx
2020	J	`jnl`	Resource efficient sensor fusion by knowledge-based network pruning. Internet Things Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
2020	—	`conf`	Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets. VTC Spring Siegfried Mercelis, Sylvain Watelet, Wim Casteels, Toon Bogaerts, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx
2020	—	`conf`	Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. 3PGCIC Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2020	—	`conf`	Towards the Generalization of Distributed Software Communication. 3PGCIC Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework. 3PGCIC Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Distributed Task Placement in the Fog: A Positioning Paper. 3PGCIC Reinout Eyckerman, Siegfried Mercelis, Johann Marquez-Barja, Peter Hellinckx
2019	J	`jnl`	Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency. Future Internet Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
2019	J	`jnl`	Impact of software architecture on execution time: a power window TACLeBench case study. Int. J. Grid Util. Comput. Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality. BNAIC/BENELEARN Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. 3PGCIC Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. 3PGCIC Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Online Reverse Engineering of CAN Data. 3PGCIC Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. SpringSim Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
2019	J	`jnl`	Testing IoT systems using a hybrid simulation based testing approach. Computing Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
2019	J	`jnl`	Towards a distributed real-time hybrid simulator for autonomous vehicles. Computing Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx
2019	—	`conf`	Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. 3PGCIC Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx
2018	—	`conf`	A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. WCET Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx
2018	—	`conf`	A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment. BDIOT Muddsair Sharif, Siegfried Mercelis, Johann Marquez-Barja, Peter Hellinckx
2018	—	`conf`	Challenges of Modeling and Simulating Internet of Things Systems. 3PGCIC Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx
2018	—	`conf`	Contact Detection for Social Networking of Small Animals. 3PGCIC Rafael Berkvens, Ivan Herrera Olivares, Siegfried Mercelis, Lucinda Kirkpatrick, Maarten Weyn
2018	—	`conf`	Context-Aware Distribution In Constrained IoT Environments. 3PGCIC Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
2018	—	`conf`	Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing. 3PGCIC Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
2018	—	`conf`	Introduction of Deep Neural Network in Hybrid WCET Analysis. 3PGCIC Thomas Huybrechts, Amber Cassimon, Siegfried Mercelis, Peter Hellinckx
2018	—	`conf`	Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. 3PGCIC Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx
2018	J	`jnl`	Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. CoRR Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
2018	—	`conf`	Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). SpringSim (TMS) Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil
2017	—	`conf`	Acsim: Towards Hyper-scalable Internet of Things Simulation. 3PGCIC Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx
2017	—	`conf`	Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators. 3PGCIC Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx
2017	—	`conf`	Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site. 3PGCIC Frédéric Melaerts, Siegfried Mercelis, Marc Ceulemans, Peter Hellinckx
2017	—	`conf`	Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things. BDIOT Muddsair Sharif, Siegfried Mercelis, Wim Van den bergh, Peter Hellinckx
2016	—	`—`	A systematic multi-layered approach for optimizing and parallelizing real-time media and audio applications Siegfried Mercelis
2013	—	`conf`	An Initial Investigation of a Multi-layered Approach for Optimizing and Parallelizing Real-Time Media and Audio Applications. 3PGCIC Siegfried Mercelis, Guido Van den Berghe, Serge Demeyer, Marijn Temmerman