A performance analysis framework for reso urce scavenging systems. - David Dewolfs; Gunther Stuer; Frederic Hancke; Peter Hellinckx; Jan Broeckhove; Frans Arickx; Tom Dhaene (Parallel and Distributed Computing and Networks, 2004)

User Experiences with Nuclear Physics Calculations on a H2O Metacomputing System and on the BEgrid. - Peter Hellinckx; Kurt Vanmechelen; Gunther Stuer; Frans Arickx; Jan Broeckhove (International Conference on Computational Science (2), 2005)

Grid-User Driven Grid Research, The CoBRA Grid. - Peter Hellinckx; Gunther Stuer; Wouter Hendrickx; Frans Arickx; Jan Broeckhove (CCGRID, 2006)

The CoBRA grid: a highly configurable lightweight grid. - Peter Hellinckx; Frans Arickx; Jan Broeckhove; Gunther Stuer (Int. J. Web Grid Serv., 2007)

Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs. - Sam Verboven; Peter Hellinckx; Frans Arickx; Jan Broeckhove (APSCC, 2008)

Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability. - Sam Verboven; Peter Hellinckx; Jan Broeckhove; Frans Arickx (Euro-Par, 2008)

De evolutie naar desktop grids, problemen en oplossingen - Peter Hellinckx (2008)

Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation. - Peter Hellinckx; Sam Verboven; Frans Arickx; Jan Broeckhove (CISIS, 2009)

Runtime Prediction in Desktop Grid Scheduling. - Peter Hellinckx; Sam Verboven; Frans Arickx; Jan Broeckhove (Parallel Programming, Models and Applications in Grid and P2P Systems, 2009)

Modeling Resource Prices in Grid Markets. - Ramadan Arfa; Peter Hellinckx; Jan Broeckhove (3PGCIC, 2012)

Taxonomy of Real-Time Hypervisors. - Nills Franssens; Jan Broeckhove; Peter Hellinckx (3PGCIC, 2013)

Model Driven Engineering for Building Automation, a Research Agenda. - Philip Luyckx; Peter Hellinckx; Hans Vangheluwe (3PGCIC, 2013)

Survey of the DASH7 Alliance Protocol for 433 MHz Wireless Sensor Communication. - Maarten Weyn; Glenn Ergeerts; Luc Wante; Charles Vercauteren; Peter Hellinckx (Int. J. Distributed Sens. Networks, 2013)

DDoS defense system for web services in a cloud environment. - Thomas Vissers; Thamarai Selvi Somasundaram; Luc Pieters; Kannan Govindarajan; Peter Hellinckx (Future Gener. Comput. Syst., 2014)

Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey. - Yorick De Bock; Jan Broeckhove; Peter Hellinckx (3PGCIC, 2015)

Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems. - Thomas Huybrechts; Yorick De Bock; Haoxuan Li; Peter Hellinckx (3PGCIC, 2016)

Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis. - Haoxuan Li; Paul De Meulenaere; Peter Hellinckx (3PGCIC, 2016)

Task-Set Generator for Schedulability Analysis using the TACLeBench benchmark suite. - Yorick De Bock; Sebastian Altmeyer; Jan Broeckhove; Peter Hellinckx (EWiLi, 2016)

TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research. - Heiko Falk; Sebastian Altmeyer; Peter Hellinckx; Björn Lisper; Wolfgang Puffitsch; Christine Rochange; Martin Schoeberl; Rasmus Bo Sørensen; Peter Wägemann; Simon Wegener (WCET, 2016)

Acsim: Towards Hyper-scalable Internet of Things Simulation. - Stig Bosmans; Siegfried Mercelis; Marc Ceulemans; Joachim Denil; Peter Hellinckx (3PGCIC, 2017)

Automatic Reverse Engineering of CAN Bus Data Using Machine Learning Techniques. - Thomas Huybrechts; Yon Vanommeslaeghe; Dries Blontrock; Gregory Van Barel; Peter Hellinckx (3PGCIC, 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 (3PGCIC, 2017)

Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators. - Muddsair Sharif; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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 (BDIOT, 2017)

Challenges of Modeling and Simulating Internet of Things Systems. - Stig Bosmans; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (3PGCIC, 2018)

Context-Aware Distribution In Constrained IoT Environments. - Reinout Eyckerman; Muddsair Sharif; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2018)

A Model for Data Enrichment over IoT Streams at Edges of Internet. - Reinout Van Hille; Fatos Xhafa; Peter Hellinckx (3PGCIC, 2018)

Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. - Jens de Hoog; Manu Pepermans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2018)

Introduction of Deep Neural Network in Hybrid WCET Analysis. - Thomas Huybrechts; Amber Cassimon; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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 (3PGCIC, 2018)

IT in Road Construction: Recommendations for the Development of Production, Transport and Paving Data Storage in the Flemish Region. - Muddsair Sharif; Geert Jacobs; Wim Van Den Bergh; Peter Hellinckx (BDIOT, 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 (BDIOT, 2018)

Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). - Stig Bosmans; Siegfried Mercelis; Peter Hellinckx; Joachim Denil (SpringSim (TMS), 2018)

A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. - Thomas Huybrechts; Siegfried Mercelis; Peter Hellinckx (WCET, 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)

Task-set generator for schedulability analysis using the TACLebench benchmark suite. - Yorick De Bock; Sebastian Altmeyer; Thomas Huybrechts; Jan Broeckhove; Peter Hellinckx (SIGBED Rev., 2018)

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. - Dieter Balemans; Simon Vanneste; Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Distributed Task Placement in the Fog: A Positioning Paper. - Reinout Eyckerman; Siegfried Mercelis; Johann Márquez-Barja; Peter Hellinckx (3PGCIC, 2019)

Online Reverse Engineering of CAN Data. - Jens de Hoog; Nick Castermans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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 (3PGCIC, 2019)

Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. - Simon Vanneste; Astrid Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality. - Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (BNAIC/BENELEARN, 2019)

Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. - Stig Bosmans; Siegfried Mercelis; Peter Hellinckx; Joachim Denil (SpringSim, 2019)

Enhancing Students' Learning Experience via Low-Cost Network Laboratories. - Nina Slamnik-Krijestorac; Stig Bosmans; Peter Hellinckx; Johann M. Márquez-Barja (IEEE Commun. Mag., 2019)

Testing IoT systems using a hybrid simulation based testing approach. - Stig Bosmans; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (Computing, 2019)

Towards a distributed real-time hybrid simulator for autonomous vehicles. - Jens de Hoog; Arthur Janssens; Siegfried Mercelis; Peter Hellinckx (Computing, 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)

Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms. - Stig Bosmans; Glenn Maricaux; Filip Van der Schueren; Peter Hellinckx (Int. J. Grid Util. Comput., 2019)

COBRA-HPA: a block generating tool to perform hybrid program analysis. - Thomas Huybrechts; Yorick De Bock; Haoxuan Li; Peter Hellinckx (Int. J. Grid Util. Comput., 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)

Lane Marking Detection Using LiDAR Sensor. - Ahmed N. Ahmed; Sven Eckelmann; Ali Anwar 002; Toralf Trautmann; Peter Hellinckx (3PGCIC, 2020)

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. - Dieter Balemans; Yves De Boeck; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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 (3PGCIC, 2020)

Intelligent Data Sharing in Digital Twins: Positioning Paper. - Thomas Cassimon; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

Towards the Generalization of Distributed Software Communication. - Reinout Eyckerman; Thomas Huybrechts; Raf Van den Langenbergh; Wim Casteels; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time. - Thomas Huybrechts; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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 (IoTSMS, 2020)

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. - Stig Bosmans; Toon Bogaerts; Wim Casteels; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (MABS, 2020)

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems. - Haoxuan Li; Ken Vanherpen; Peter Hellinckx; Siegfried Mercelis; Paul De Meulenaere (MECO, 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 (VTC Spring, 2020)

Learning to Communicate Using Counterfactual Reasoning. - Simon Vanneste; Astrid Vanneste; Siegfried Mercelis; Peter Hellinckx (CoRR, 2020)

Exploiting non-i.i.d. data towards more robust machine learning algorithms. - Wim Casteels; Peter Hellinckx (CoRR, 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)

Real-time virtualization with Xvisor. - Yorick De Bock; Siegfried Mercelis; Jan Broeckhove; Peter Hellinckx (Internet Things, 2020)

Designing resource-constrained neural networks using neural architecture search targeting embedded devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; 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)

Online reverse engineering of CAN data. - Jens de Hoog; Toon Bogaerts; Wim Casteels; 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)

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)

Lane Marking Detection Techniques for Autonomous Driving. - Ahmed N. Ahmed; Ali Anwar 002; Sven Eckelmann; Toralf Trautmann; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Quality-Aware Compression of Point Clouds with Google Draco. - Jens de Hoog; Ahmed N. Ahmed; Ali Anwar 002; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Autonomous Building Control Using Offline Reinforcement Learning. - Jorren Schepers; Reinout Eyckerman; Furkan Elmaz; Wim Casteels; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Transfer Learning in Autonomous Driving Using Real-World Samples. - Arne Troch; Jens de Hoog; Simon Vanneste; Dieter Balemans; Steven Latré; Peter Hellinckx (3PGCIC, 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 (3PGCIC, 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 (3PGCIC, 2021)

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. - Mattias Billast; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Task Independent Capsule-Based Agents for Deep Q-Learning. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Enabling cross-border tele-operated transport in the 5G Era: The 5G Blueprint approach. - Johann Márquez-Barja; Seilendria A. Hadiwardoyo; Vasilis Maglogiannis; Dries Naudts; Ingrid Moerman; Peter Hellinckx; Sofie Verbrugge; Simon Delaere; Wim Vandenberghe; Eric Kenis; Maria Chiara Campodonico; Rakshith Kusumakar; et al. (CCNC, 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 (ICTC, 2021)

FF-GAT: Feature Fusion Using Graph Attention Networks. - Ahmed N. Ahmed; Ali Anwar 002; Siegfried Mercelis; Steven Latré; Peter Hellinckx (IECON, 2021)

S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks. - Niels Balemans; Peter Hellinckx; Steven Latré; Philippe Reiter; Jan Steckel (IEEE SENSORS, 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 (ISC2, 2021)

Low Cost Player Tracking in Field Hockey. - Henrique Duarte Moura; Leonid Kholkine; Laurens Van Damme; Kevin Mets; Christiaan Leysen; Tom De Schepper; Peter Hellinckx; Steven Latré (MLSA@PKDD/ECML, 2021)

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. - Paola Soto; Danny De Vleeschauwer; Miguel Camelo; Yorick De Bock; Koen De Schepper; Chia-Yu Chang; Peter Hellinckx; Juan Felipe Botero; Steven Latré (SDS, 2021)

Predicting LiDAR Data From Sonar Images. - Niels Balemans; Peter Hellinckx; Jan Steckel (IEEE Access, 2021)

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. - Amber Cassimon; Reinout Eyckerman; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 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)

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. - Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latré (Sensors, 2021)

Improving Context-Aware Synthesis and Placement of Object Instances. - Jens Duym; Ali Anwar 002; Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2022)

Autonomous Navigation Using Model-Based Reinforcement Learning. - Siemen Herremans; Jens de Hoog; Simon Vanneste; Dieter Balemans; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2022)

Rail Vehicle Detection Enabling Adaptive Device Free Crowd Size Estimation in Subway Stations. - Robin Janssens; Rafael Berkvens; Peter Hellinckx; Stijn Denis (3PGCIC, 2022)

On-device Deep Learning Location Category Inference Model. - Gadzhi Musaev; Kevin Mets; Rokas Tamosiunas; Vadim Uvarov; Tom De Schepper; Peter Hellinckx (BNAIC/BENELEARN, 2022)

Enhancement of road weather services using vehicle sensor data. - Toon Bogaerts; Sylvain Watelet; Chris Thoen; Tom Coopman; Joris Van den Bergh; Maarten Reyniers; Dirck Seynaeve; Wim Casteels; Steven Latré; Peter Hellinckx (CCNC, 2022)

Requirements and Specifications for the Orchestration of Network Intelligence in 6G. - Miguel Camelo; Luca Cominardi; Marco Gramaglia; Marco Fiore 001; Andres Garcia-Saavedra; Lidia Fuentes; Danny De Vleeschauwer; Paola Soto-Arenas; Nina Slamnik-Krijestorac; Joaquín Ballesteros; Chia-Yu Chang; Gabriele Baldoni; et al. (CCNC, 2022)

Object Detection To Enable Autonomous Vessels On European Inland Waterways. - Mattias Billast; Robin Janssens; Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Ali Anwar 002; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré; Peter Hellinckx (IECON, 2022)

Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. - Furkan Elmaz; Sara Ghane; Thomas Huybrechts; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

Reinforcement learning based mass flow and supply temperature control for combined heat distribution. - Stef Jacobs; Sara Ghane; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx; Ivan Verhaert (IECON, 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 002; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

A Joint Perception Scheme For Connected Vehicles. - Ahmed N. Ahmed; Ian Ravijts; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (IEEE SENSORS, 2022)

Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation. - Reinout Eyckerman; Philippe Reiter; Steven Latré; Johann Márquez-Barja; Peter Hellinckx (NOMS, 2022)

Deep Set Conditioned Latent Representations for Action Recognition. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 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)

Resource efficient AI: Exploring neural network pruning for task specialization. - Dieter Balemans; Philippe Reiter; Jan Steckel; Peter Hellinckx (Internet Things, 2022)

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. - Toon Bogaerts; Sylvain Watelet; Niko De Bruyne; Chris Thoen; Tom Coopman; Joris Van den Bergh; Maarten Reyniers; Dirck Seynaeve; Wim Casteels; Steven Latré; Peter Hellinckx (Sensors, 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)

Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. - Simon Vanneste; Astrid Vanneste; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx; Kevin Mets (BNAIC/BENELEARN, 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 (IoTBDS, 2023)

Metamodelling of Noise to Image Classification Performance. - Jens de Hoog; Ali Anwar 002; Philippe Reiter; Siegfried Mercelis; Peter Hellinckx (IEEE Access, 2023)

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. - Astrid Vanneste; Thomas Somers 002; Simon Vanneste; Kevin Mets; Tom De Schepper; 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)

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning. - Siemen Herremans; Ali Anwar 002; Arne Troch; Ian Ravijts; Maarten Vangeneugden; Siegfried Mercelis; Peter Hellinckx (CoRR, 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 002; Mumin Enis Leblebici; Peter Hellinckx; Siegfried Mercelis (Comput. Chem. Eng., 2023)

Hybrid modelling of a batch separation process. - Ulderico Di Caprio; Min Wu; Furkan Elmaz; Yentl Wouters; Niels Vandervoort; Ali Anwar 002; Siegfried Mercelis; Steffen Waldherr; Peter Hellinckx; Mumin Enis Leblebici (Comput. Chem. Eng., 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., 2023)

AI for Anticipating Human Behavior. - Jeoffrey Canters; Pieter Jan Houben; Renzo Massobrio; Peter Hellinckx (3PGCIC, 2024)

Autonomous Shipping in Complex Situations. - Matteo Cisneros; Oliver Rommens; Renzo Massobrio; Peter Hellinckx (3PGCIC, 2024)

Evaluating the Impact of Suboptimal HVAC Systems on Control Strategies. - Pieter Jan Houben; Stef Jacobs; Renzo Massobrio; Hossein Tabari; Ivan Verhaert; Peter Hellinckx (3PGCIC, 2024)

A Comparative Sensitivity Analysis of Loss Functions in Machine Learning-Based Weather Forecasting. - Aaron Van Poecke; Lukas Meuris; Matteo Cisneros; Michiel Van Ginderachter; Peter Hellinckx; Hossein Tabari (3PGCIC, 2024)

Selection of image classifiers for noisy images through metalearning. - Jens de Hoog; Ali Anwar 002; Peter Hellinckx; Siegfried Mercelis (ICMVA, 2024)

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts. - Aaron Van Poecke; Tobias Sebastian Finn; Ruoke Meng; Joris Van den Bergh; Geert Smet; Jonathan Demaeyer; Piet Termonia; Hossein Tabari; Peter Hellinckx (CoRR, 2024)

Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems. - Sara Ghane; Stef Jacobs; Thomas Huybrechts; Peter Hellinckx; Siegfried Mercelis; Ivan Verhaert; Erik Mannens (ACM Trans. Intell. Syst. Technol., 2025)