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2020 – today
- 2024
[c78]Jens de Hoog
, Ali Anwar, Peter Hellinckx, Siegfried Mercelis:
Selection of image classifiers for noisy images through metalearning. ICMVA 2024: 92-99- [i13]Aaron Van Poecke, Tobias Sebastian Finn, Ruoke Meng, Joris Van den Bergh, Geert Smet, Jonathan Demaeyer, Piet Termonia, Hossein Tabari, Peter Hellinckx:
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts. CoRR abs/2412.13957 (2024) - 2023
- [j28]Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx:
Metamodelling of Noise to Image Classification Performance. IEEE Access 11: 47994-48006 (2023) - [j27]Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis:
Reinforcement learning-based approach for optimizing solvent-switch processes. Comput. Chem. Eng. 176: 108310 (2023) - [j26]Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici:
Hybrid modelling of a batch separation process. Comput. Chem. Eng. 177: 108319 (2023) - [j25]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: 108431 (2023) - [c77]Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets:
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN 2023: 82-100 - [c76]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: 39-50 - [i12]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 abs/2308.04844 (2023) - [i11]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 abs/2308.04938 (2023) - [i10]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 abs/2311.09878 (2023) - [i9]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 abs/2312.05257 (2023) - 2022
- [j24]Dieter Balemans, Philippe Reiter, Jan Steckel, Peter Hellinckx:
Resource efficient AI: Exploring neural network pruning for task specialization. Internet Things 20: 100599 (2022) - [j23]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:
Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. Sensors 22(7): 2732 (2022) - [j22]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: 102395 (2022) - [c75]Robin Janssens, Rafael Berkvens, Peter Hellinckx, Stijn Denis:
Rail Vehicle Detection Enabling Adaptive Device Free Crowd Size Estimation in Subway Stations. 3PGCIC 2022: 258-267 - [c74]Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Autonomous Navigation Using Model-Based Reinforcement Learning. 3PGCIC 2022: 268-277 - [c73]Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
Improving Context-Aware Synthesis and Placement of Object Instances. 3PGCIC 2022: 288-296 - [c72]Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx:
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN 2022: 96-111 - [c71]Toon Bogaerts, Sylvain Watelet, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx:
Enhancement of road weather services using vehicle sensor data. CCNC 2022: 1-6 - [c70]Miguel Camelo, Luca Cominardi, Marco Gramaglia, Marco Fiore, Andres Garcia-Saavedra, Lidia Fuentes, Danny De Vleeschauwer, Paola Soto-Arenas, Nina Slamnik-Krijestorac, Joaquín Ballesteros, Chia-Yu Chang, Gabriele Baldoni, Johann M. Márquez-Barja, Peter Hellinckx, Steven Latré:
Requirements and Specifications for the Orchestration of Network Intelligence in 6G. CCNC 2022: 1-9 - [c69]Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx:
Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON 2022: 1-6 - [c68]Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. IECON 2022: 1-6 - [c67]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: 1-6 - [c66]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: 1-6 - [c65]Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
A Joint Perception Scheme For Connected Vehicles. IEEE SENSORS 2022: 1-4 - [c64]Reinout Eyckerman, Philippe Reiter, Steven Latré, Johann Márquez-Barja, Peter Hellinckx:
Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation. NOMS 2022: 1-6 - [c63]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep Set Conditioned Latent Representations for Action Recognition. VISIGRAPP (5: VISAPP) 2022: 456-466 - [i8]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 abs/2204.05669 (2022) - [i7]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep set conditioned latent representations for action recognition. CoRR abs/2212.11030 (2022) - 2021
- [j21]Niels Balemans, Peter Hellinckx, Jan Steckel:
Predicting LiDAR Data From Sonar Images. IEEE Access 9: 57897-57906 (2021) - [j20]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): 81 (2021) - [j19]Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré:
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21(13): 4321 (2021) - [c62]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: 197-206 - [c61]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: 207-216 - [c60]Ahmed N. Ahmed, Ali Anwar, Sven Eckelmann, Toralf Trautmann, Steven Latré, Peter Hellinckx:
Lane Marking Detection Techniques for Autonomous Driving. 3PGCIC 2021: 217-226 - [c59]Jens de Hoog, Ahmed N. Ahmed, Ali Anwar, Steven Latré, Peter Hellinckx:
Quality-Aware Compression of Point Clouds with Google Draco. 3PGCIC 2021: 227-236 - [c58]Arne Troch, Jens de Hoog, Simon Vanneste, Dieter Balemans, Steven Latré, Peter Hellinckx:
Transfer Learning in Autonomous Driving Using Real-World Samples. 3PGCIC 2021: 237-245 - [c57]Jorren Schepers, Reinout Eyckerman, Furkan Elmaz, Wim Casteels, Steven Latré, Peter Hellinckx:
Autonomous Building Control Using Offline Reinforcement Learning. 3PGCIC 2021: 246-255 - [c56]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN 2021: 69-85 - [c55]Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN 2021: 86-102 - [c54]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, Job Meines, Joost Vandenbossche:
Enabling cross-border tele-operated transport in the 5G Era: The 5G Blueprint approach. CCNC 2021: 1-4 - [c53]Reinout Eyckerman, Philippe 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: 779-784 - [c52]Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
FF-GAT: Feature Fusion Using Graph Attention Networks. IECON 2021: 1-6 - [c51]Niels Balemans, Peter Hellinckx, Steven Latré, Philippe Reiter, Jan Steckel:
S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks. IEEE SENSORS 2021: 1-4 - [c50]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: 1-7 - [c49]Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré:
Low Cost Player Tracking in Field Hockey. MLSA@PKDD/ECML 2021: 103-115 - [c48]Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan Felipe Botero, Steven Latré:
Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. SDS 2021: 1-8 - [i6]Amber 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 abs/2110.06742 (2021) - [i5]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 abs/2110.15762 (2021) - [i4]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 abs/2110.15779 (2021) - 2020
- [j18]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: 100229 (2020) - [j17]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: 100230 (2020) - [j16]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: 100231 (2020) - [j15]Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx:
Online reverse engineering of CAN data. Internet Things 11: 100232 (2020) - [j14]Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx:
Real-time virtualization with Xvisor. Internet Things 11: 100238 (2020) - [j13]Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Designing resource-constrained neural networks using neural architecture search targeting embedded devices. Internet Things 12: 100234 (2020) - [j12]Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
Requirements for distributed task placement in the fog. Internet Things 12: 100237 (2020) - [c47]Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx:
Towards the Generalization of Distributed Software Communication. 3PGCIC 2020: 261-270 - [c46]Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx:
A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time. 3PGCIC 2020: 271-281 - [c45]Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Intelligent Data Sharing in Digital Twins: Positioning Paper. 3PGCIC 2020: 282-290 - [c44]Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. 3PGCIC 2020: 291-300 - [c43]Ahmed N. Ahmed, Sven Eckelmann, Ali Anwar, Toralf Trautmann, Peter Hellinckx:
Lane Marking Detection Using LiDAR Sensor. 3PGCIC 2020: 301-310 - [c42]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: 311-320 - [c41]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: 1-8 - [c40]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: 1-12 - [c39]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: 1-8 - [c38]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: 1-7 - [e2]Leonard Barolli, Peter Hellinckx, Juggapong Natwichai:
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. Lecture Notes in Networks and Systems 96, Springer 2020, ISBN 978-3-030-33508-3 [contents] - [e1]Leonard Barolli, Peter Hellinckx, Tomoya Enokido:
Advances on Broad-Band Wireless Computing, Communication and Applications - Proceedings of the 14th International Conference on Broad-Band Wireless Computing, Communication and Applications, BWCCA 2019, Antwerp, Belgium, November 7-9, 2019. Lecture Notes in Networks and Systems 97, Springer 2020, ISBN 978-3-030-33505-2 [contents] - [i3]Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx:
Learning to Communicate Using Counterfactual Reasoning. CoRR abs/2006.07200 (2020) - [i2]Wim Casteels, Peter Hellinckx:
Exploiting non-i.i.d. data towards more robust machine learning algorithms. CoRR abs/2010.03429 (2020)
2010 – 2019
- 2019
- [j11]Nina Slamnik-Krijestorac, Stig Bosmans, Peter Hellinckx, Johann M. Márquez-Barja:
Enhancing Students' Learning Experience via Low-Cost Network Laboratories. IEEE Commun. Mag. 57(11): 34-40 (2019) - [j10]Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Testing IoT systems using a hybrid simulation based testing approach. Computing 101(7): 857-872 (2019) - [j9]Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx:
Towards a distributed real-time hybrid simulator for autonomous vehicles. Computing 101(7): 873-891 (2019) - [j8]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): 158 (2019) - [j7]Stig Bosmans, Glenn Maricaux, Filip Van der Schueren, Peter Hellinckx:
Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms. Int. J. Grid Util. Comput. 10(1): 63-75 (2019) - [j6]Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx:
COBRA-HPA: a block generating tool to perform hybrid program analysis. Int. J. Grid Util. Comput. 10(2): 105-118 (2019) - [j5]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): 132-140 (2019) - [c37]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: 661-670 - [c36]Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
Distributed Task Placement in the Fog: A Positioning Paper. 3PGCIC 2019: 671-683 - [c35]Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. 3PGCIC 2019: 684-693 - [c34]Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. 3PGCIC 2019: 736-745 - [c33]Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx:
Online Reverse Engineering of CAN Data. 3PGCIC 2019: 776-785 - [c32]Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. 3PGCIC 2019: 798-807 - [c31]Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality. BNAIC/BENELEARN 2019 - [c30]Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. SpringSim 2019: 1-12 - 2018
- [j4]Yorick De Bock, Sebastian Altmeyer, Thomas Huybrechts, Jan Broeckhove, Peter Hellinckx:
Task-set generator for schedulability analysis using the TACLebench benchmark suite. SIGBED Rev. 15(1): 22-28 (2018) - [c29]Reinout Van Hille, Fatos Xhafa, Peter Hellinckx:
A Model for Data Enrichment over IoT Streams at Edges of Internet. 3PGCIC 2018: 128-136 - [c28]Thomas Huybrechts, Amber Cassimon, Siegfried Mercelis, Peter Hellinckx:
Introduction of Deep Neural Network in Hybrid WCET Analysis. 3PGCIC 2018: 415-425 - [c27]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: 426-436 - [c26]Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Context-Aware Distribution In Constrained IoT Environments. 3PGCIC 2018: 437-446 - [c25]Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx:
Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. 3PGCIC 2018: 447-456 - [c24]Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Challenges of Modeling and Simulating Internet of Things Systems. 3PGCIC 2018: 457-466 - [c23]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: 136-142 - [c22]Muddsair Sharif, Geert Jacobs, Wim Van Den Bergh, Peter Hellinckx:
IT in Road Construction: Recommendations for the Development of Production, Transport and Paving Data Storage in the Flemish Region. BDIOT 2018: 143-147 - [c21]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: 4:1-4:8 - [c20]Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx:
A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. WCET 2018: 5:1-5:12 - [i1]Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. CoRR abs/1802.09207 (2018) - 2017
- [c19]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: 711-721 - [c18]Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators. 3PGCIC 2017: 733-742 - [c17]Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx:
Acsim: Towards Hyper-scalable Internet of Things Simulation. 3PGCIC 2017: 743-750 - [c16]Thomas Huybrechts, Yon Vanommeslaeghe, Dries Blontrock, Gregory Van Barel, Peter Hellinckx:
Automatic Reverse Engineering of CAN Bus Data Using Machine Learning Techniques. 3PGCIC 2017: 751-761 - [c15]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: 174-180 - 2016
- [c14]Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx:
Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems. 3PGCIC 2016: 759-768 - [c13]Haoxuan Li, Paul De Meulenaere, Peter Hellinckx:
Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis. 3PGCIC 2016: 779-788 - [c12]Yorick De Bock, Sebastian Altmeyer, Jan Broeckhove, Peter Hellinckx:
Task-Set Generator for Schedulability Analysis using the TACLeBench benchmark suite. EWiLi 2016 - [c11]Heiko Falk, Sebastian Altmeyer, Peter Hellinckx, Björn Lisper, Wolfgang Puffitsch, Christine Rochange, Martin Schoeberl, Rasmus Bo Sørensen, Peter Wägemann, Simon Wegener:
TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research. WCET 2016: 2:1-2:10 - 2015
- [c10]Yorick De Bock, Jan Broeckhove, Peter Hellinckx:
Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey. 3PGCIC 2015: 611-616 - 2014
- [j3]Thomas Vissers, Thamarai Selvi Somasundaram, Luc Pieters, Kannan Govindarajan, Peter Hellinckx:
DDoS defense system for web services in a cloud environment. Future Gener. Comput. Syst. 37: 37-45 (2014) - 2013
- [j2]Maarten Weyn, Glenn Ergeerts, Luc Wante, Charles Vercauteren, Peter Hellinckx:
Survey of the DASH7 Alliance Protocol for 433 MHz Wireless Sensor Communication. Int. J. Distributed Sens. Networks 9 (2013) - [c9]Philip Luyckx, Peter Hellinckx, Hans Vangheluwe:
Model Driven Engineering for Building Automation, a Research Agenda. 3PGCIC 2013: 485-491 - [c8]Nills Franssens, Jan Broeckhove, Peter Hellinckx:
Taxonomy of Real-Time Hypervisors. 3PGCIC 2013: 492-496 - 2012
- [c7]Ramadan Arfa, Peter Hellinckx, Jan Broeckhove:
Modeling Resource Prices in Grid Markets. 3PGCIC 2012: 5-11
2000 – 2009
- 2009
- [c6]Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove:
Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation. CISIS 2009: 402-408 - [p1]Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove:
Runtime Prediction in Desktop Grid Scheduling. Parallel Programming, Models and Applications in Grid and P2P Systems 2009: 204-231 - 2008
- [b1]Peter Hellinckx:
De evolutie naar desktop grids, problemen en oplossingen. University of Antwerp, Belgium, 2008 - [c5]Sam Verboven, Peter Hellinckx, Frans Arickx, Jan Broeckhove:
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs. APSCC 2008: 33-38 - [c4]Sam Verboven, Peter Hellinckx, Jan Broeckhove, Frans Arickx:
Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability. Euro-Par 2008: 223-232 - 2007
- [j1]Peter Hellinckx, Frans Arickx, Jan Broeckhove, Gunther Stuer:
The CoBRA grid: a highly configurable lightweight grid. Int. J. Web Grid Serv. 3(3): 267-286 (2007) - 2006
- [c3]Peter Hellinckx, Gunther Stuer, Wouter Hendrickx, Frans Arickx, Jan Broeckhove:
Grid-User Driven Grid Research, The CoBRA Grid. CCGRID 2006: 49 - 2005
- [c2]Peter Hellinckx, Kurt Vanmechelen, Gunther Stuer, Frans Arickx, Jan Broeckhove:
User Experiences with Nuclear Physics Calculations on a H2O Metacomputing System and on the BEgrid. International Conference on Computational Science (2) 2005: 1080-1088 - 2004
- [c1]David Dewolfs, Gunther Stuer, Frederic Hancke, Peter Hellinckx, Jan Broeckhove, Frans Arickx, Tom Dhaene:
A performance analysis framework for reso urce scavenging systems. Parallel and Distributed Computing and Networks 2004: 520-525
Coauthor Index
Johann Márquez-Barja
aka: Johann M. Márquez-Barja
aka: Johann M. Márquez-Barja
[c78] [j28] [j27] [j26] [j25] [c77] [c76] [i12] [i11] [i10] [i9] [j22] [c74] [c73] [c68] [c67] [c66] [c65] [i8] [j20] [c62] [c61] [c53] [c52] [c50] [i6] [i5] [i4] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [i3] [j10] [j9] [j8] [j5] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [i1] [c19] [c18] [c17] [c15]
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