Flanders Artificial Intelligence Research program (FAIR) – second cycle

Research output

Research output per year 2020 2020 2021 2022 2023 2024 2025

• 82 Conference paper
• 71 Article
• 16 Poster
• 13 Unpublished paper
• 20 More
  • 10 Unpublished abstract
  • 2 Software
  • 2 PhD Thesis
  • 1 Meeting abstract (Book)
  • 1 Chapter
  • 1 Scientific review
  • 1 Special issue
  • 1 Blog
  • 1 Digital or Visual Products

Research output per year

Research output per year

Search results

• 2025

  CM-GP: Critic-Moderated Genetic Programming

  Deproost, S. & Steckelmacher, D., 1 Jan 2025, (In preparation)

  Research output: Non-textual form › Software

• Modular deep learning approach for wind farm power forecasting and wake loss prediction

  Ally, S., Daems, P-J., Verstraeten, T., Nowe, A. & Helsen, J., 20 Feb 2025, (Accepted/In press) In: Wind Energy Science.

  Research output: Contribution to journal › Article › peer-review

• The computational learning of construction grammars: State of the art and prospective roadmap

  Doumen, J., Schmalz, V. J., Beuls, K. & Van Eecke, P., 2025, In: Constructions and Frames. 17, 1, 34 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Downloads (Pure)
• 2024

  An Architecture for Integrating Social Interaction in Upper-Limb Rehabilitation

  Cao, H-L., Langlois, K., De Winter, J., Tan Viet Tuyen, N., Van de Perre, G., El Makrini, I. & Vanderborght, B., 12 Nov 2024, In: International Journal of Intelligent Robotics and Applications. p. 1-17 17 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

  48 Downloads (Pure)

• A novel Reservoir Architecture for Periodic Time Series Prediction

  Yuan, Z., Wiggins, G. & Botteldooren, D., Jul 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. IEEE Xplore Digital Library, p. 1-8 8 p. (Proceedings of the International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

• A Reinforcement Learning Framework For Studying Group And Individual Fairness: Extended Abstract

  Cimpean, I. A., Jonker, C. M., Libin, P. & Nowe, A., 2024, The 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024: Extended Abstract. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2216-2218 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  • Reinforcement learning 100%
  • History 58%
  • Markov processes 52%
  • Decision support systems 51%

• A Terminal State Feasibility Governor for Real-Time Nonlinear Model Predictive Control over Arbitrary Horizons

  Convens, B., Liao-McPherson, D., Merckaert, K., Vanderborght, B. & M. Nicotra, M., 1 Jul 2024, In: IEEE Transactions on Control Systems Technology. 32, 4, p. 1341-1356 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Governors 100%
  • Model predictive control 80%
  • Asymptotic stability 34%
  • Nonlinear systems 27%
  • Derivatives 13%
  2 Citations (Scopus)

  265 Downloads (Pure)

• Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes

  Terrucha, I., Fernández Domingos, E., Simoens, P. & Lenaerts, T., 7 May 2024, In: Scientific reports. 14, 1, 13 p., 10460.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Theoretical Models 100%
  2 Citations (Scopus)

  2 Downloads (Pure)

• Controller Synthesis from Deep Reinforcement Learning Policies

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 20 Oct 2024, p. 1-25. 25 p.

  Research output: Unpublished contribution to conference › Unpublished paper

  Open Access

• Controller Synthesis from Deep Reinforcement Learning Policies

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 28 Oct 2024.

  Research output: Unpublished contribution to conference › Unpublished paper

  Open Access

• Controller Synthesis from Deep Reinforcement Learning Policies: Extended Abstract

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 18 Nov 2024.

  Research output: Unpublished contribution to conference › Unpublished abstract

  Open Access

  File
  9 Downloads (Pure)

• Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds

  Botoko Ekila, J., Nevens, J., Verheyen, L., Beuls, K. & Van Eecke, P., 2024, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2024). . International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2168-2170 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  File

  • Autonomous agents 100%
  • Linguistics 77%
  • Sensors 41%
  • Defects 27%
  • Experiments 14%

• Designing interaction interface for supportive human-robot collaboration: A co-creation study involving factory employees

  Cao, H-L., Elprama, S., Scholz, C., L. Siahaya, P., El Makrini, I., Jacobs, A., Ajoudani, A. & Vanderborght, B., Jun 2024, In: Computers & Industrial Engineering. 192, p. 1-12 12 p., 110208.

  Research output: Contribution to journal › Article › peer-review

  • Industrial plants 100%
  • Personnel 83%
  • Robots 70%
  • Human robot interaction 63%
  • Ergonomics 19%
  2 Citations (Scopus)

  5 Downloads (Pure)

• Distributed Subweb Specifications for Traversing the Web

  Bogaerts, B., Ketsman, B., Zeboudj, Y., Aamer, H., Taelman, R. & Verborgh, R., Mar 2024, In: Theory and Practice of Logic Programming. 24, 2, p. 394-420 27 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Query processing 100%
  • Specification 80%
  • Query Processing 58%
  • Specifications 57%
  • Query 44%
  2 Downloads (Pure)

• Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

  Reymond, M., Hayes, C. F., Willem, L., Radulescu, R., Abrams, S., Roijers, D. M., Howley, E., Mannion, P., Hens, N., Nowe, A. & Libin, P., 1 Sep 2024, In: Expert Systems with Applications. 249, Part C, 2024, 123686, 13 p., 123686.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Reinforcement learning 100%
  • Decision making 48%
  • Pathogens 45%
  • Public health 39%
  • Stochastic models 36%
  3 Citations (Scopus)

• Expressiveness of SHACL Features and Extensions for Full Equality and Disjointness Tests

  Bogaerts, B., Jakubowski, M. & Van Den Bussche, J., 2024, In: Logical Methods in Computer Science. 20, 1, 34 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  1 Downloads (Pure)

• Human-readable programs as the actor of a Reinforcement Learning agent using Critic-Moderated Evolution

  Deproost, S., Steckelmacher, D. & Nowe, A., 17 Nov 2024, Proceedings of the 2024 Benelux Conference on Artificial Intelligence. Benelux Association for Artificial Intelligence (BNVKI-AIABN), p. 1-18 14 p. (BNAIC Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

• Humans Learn Language From Situated Communicative Interactions. What about Machines?

  Beuls, K. & Van Eecke, P., Dec 2024, In: Computational Linguistics. 50, 4, p. 1277–1311 35 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  50 Downloads (Pure)

• Identifying drivers of language change using agent-based models

  Dekker, P., 2024, Crazy Copy Center Productions. 207 p.

  Research output: Thesis › PhD Thesis

  Open Access

  File
  136 Downloads (Pure)

• Interactively Learning the User’s Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits

  Reymond, M., Bargiacchi, E., Roijers, D. M. & Nowe, A., 6 May 2024, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). Alechina, N., Dignum, V., Dastani, M. & Sichman, J. S. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1611-1620 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

• Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning

  Chen, Y., Abrahamyan, L., Sahli, H. & Deligiannis, N., 2024, In: IEEE Open Journal of the Communications Society. 5, 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Citations (Scopus)

  2 Downloads (Pure)

• Model-Based Reinforcement Learning in Multi-Objective Environments with a Distributional Critic

  Röpke, W., Roijers, D. M., Nowé, A., Radulescu, R. & Baier, H., Oct 2024.

  Research output: Unpublished contribution to conference › Unpublished paper

  Open Access

• Modelling constructivist language acquisition through syntactico-semantic pattern finding

  Doumen, J., Beuls, K. & Van Eecke, P., Jul 2024, In: ROYAL SOCIETY OPEN SCIENCE. 11, 7, 28 p., 231998.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  22 Downloads (Pure)

• Modelling of Musical Perception using Spectral Knowledge Representation

  Homer, S. T., Harley, N. & Wiggins, G., 2024, In: Journal of Cognition. 7, 1, 23 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Music 100%
  • Brain 44%
  • music 10%
  • brain 10%
  • knowledge 8%
  1 Citation (Scopus)

  1 Downloads (Pure)

• Offshore field experimentation for novel hybrid condition monitoring approaches

  Kestel, K., Jamil, F., Matthys, J. J., Vratsinis, K., Sterckx, J., Marini, R., Peeters, C. & Helsen, J., Apr 2024, In: Journal of Physics: Conference Series. 2745, 1, 12 p., 012009.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning

  Liu, G., De Winter, J., Durodié, Y., Steckelmacher, D., Nowe, A. & Vanderborght, B., 9 May 2024, In: IEEE Robotics and Automation Letters. 9, 6, p. 5974-5981 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Motion Planning 90%
  • Skills 77%
  • Insertion 74%
  • Reinforcement learning 66%
  • Motion planning 63%
  1 Citation (Scopus)

  17 Downloads (Pure)

• Postulates for provenance: Instance-based provenance for first-order

  Bogaerts, B., Jakubowski, M. & Van Den Bussche, J., 2024, Proceedings of the ACM on Management of Data. 2 ed. Association for Computing Machinery, Vol. 2. 16 p. 95. ( Proceedings of the ACM on management of data; vol. 2, no. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  File
  23 Downloads (Pure)

• Programmatic Reinforcement Learning using Critic-Moderated Evolution

  Deproost, S., Steckelmacher, D. & Nowe, A., 18 Nov 2024, (Unpublished).

  Research output: Unpublished contribution to conference › Poster

  File
  11 Downloads (Pure)

• Realizing executable programs from an abstract of the policy

  Deproost, S. & Nowe, A., 10 Jun 2024, (Unpublished).

  Research output: Unpublished contribution to conference › Poster

  File
  9 Downloads (Pure)

• Real-time constraint-based planning and control of robotic manipulators for safe human-robot collaboration

  Merckaert, K., Convens, B., Nicotra, M. M. & Vanderborght, B., Jun 2024, In: Robotics and Computer-Integrated Manufacturing. 87, 16 p., 102711.

  Research output: Contribution to journal › Article › peer-review

  • Robotic Manipulator 100%
  • Random Trees 78%
  • Collaboration 77%
  • Governors 76%
  • Robot 76%
  16 Citations (Scopus)

• SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection

  Yang, Y., Joukovsky, B., Oramas Mogrovejo, J. A., Tuytelaars, T. & Deligiannis, N., 2024, In: ACM Transactions on Multimedia Computing, Communications, and Applications. 20, 8, p. 1-29 29 p., 253.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep neural networks 100%
  • Chemical activation 92%
  • User interfaces 90%
  • Artificial intelligence 90%
  • Machine learning 75%
  36 Downloads (Pure)

• Table representation learning using heterogeneous graph embedding

  Tchuitcheu, W. C., Lu, T. & Dooms, A., Dec 2024, In: Pattern Recognition. 156, 12 p., 110734.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• The art of compensation: How hybrid teams solve collective-risk dilemmas

  Terrucha, I., Domingos, E. F., Santos, F. C., Simoens, P. & Lenaerts, T., Feb 2024, In: PLOS ONE. 19, 2, 17 p., e0297213.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Art 100%
  • Disasters 58%
  • Population 33%
  • Psychological Adaptation 19%
  • Interpersonal Relations 18%
  3 Citations (Scopus)

• The role of generalisation in an Adaptive Resonance Theory model of learning inflection classes

  Dekker, P., Rasilo, H. & De Boer, B., 19 May 2024, The Evolution of Language: Proceedings of the 15th International Conference (Evolang XV). The Evolution of Language Conferences, p. 118-121 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  File

  • Linguistics 100%
  12 Downloads (Pure)

• The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models: Extended Abstract

  Avalos, R., Delgrange, F., Nowe, A., Pérez, G. A. & Roijers, D. M., 18 Nov 2024.

  Research output: Unpublished contribution to conference › Unpublished abstract

  Open Access

• The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

  Avalos, R., Delgrange, F., Nowé, A., Pérez, G. A. & Roijers, D. M., 7 May 2024, The Twelfth International Conference on Learning Representations: ICLR 2024. OpenReview.net, 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  File

  • Markov processes 100%
  • Statistics 70%
  • Recurrent neural networks 49%
  • Probability distributions 44%
  15 Downloads (Pure)

• Trustworthy and Explainable Offline Reinforcement Learning by Inferring a Discrete-State Discrete-Action MDP from a Continous-State Continuous-Action dataset

  Steckelmacher, D. & Nowe, A., 18 Nov 2024, Proceedings of the 2024 Benelux Conference on Artificial Intelligence. Benelux Association for Artificial Intelligence (BNVKI-AIABN), p. 1-16 14 p. (BNAIC Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  File
  11 Downloads (Pure)

• Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

  Chen, Y., Yang, X. & Deligiannis, N., 2024, The 18th European Conference on Computer Vision ECCV 2024. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). 1 ed. Springer, p. 397 413 p. 17. (Lecture Notes in Computer Science; vol. 15059).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

• Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

  Vamplew, P., Foale, C., Hayes, C. F., Mannion, P., Howley, E., Dazeley, R., Johnson, S., Källström, J., De Oliveira Ramos, G., Radulescu, R., Röpke, W. & Roijers, D. M., May 2024, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2717–2721 5 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

• Wind turbine drivetrain health monitoring using physics informed deep learning.

  Jamil, F., Peeters, C. & Helsen, J., 14 Oct 2024.

  Research output: Unpublished contribution to conference › Poster

  File
  5 Downloads (Pure)
• 2023

  A Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track

  Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., May 2023, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 2023-May. p. 1988-1990 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  Open Access

  • Reinforcement learning 100%
  • Decision making 72%
  • Planning 63%
  2 Citations (Scopus)

• Actor-critic multi-objective reinforcement learning for non-linear utility functions

  Reymond, M., Hayes, C. F., Steckelmacher, D., Roijers, D. M. & Nowe, A., 23 Apr 2023, In: Autonomous Agents and Multi-Agent Systems. 37, 2, 30 p., 23.

  Research output: Contribution to journal › Special issue › peer-review

  Open Access

  File

  • Reinforcement learning 100%
  • Learning algorithms 20%
  11 Citations (Scopus)

  236 Downloads (Pure)

• A Deep Multi-Objective Reinforcement Learning Approach for Infrastructural Maintenance Planning with Non-Linear Utility Functions

  Van Remmerden, J., Kenter, M., Roijers, D. M., Zhang, Y., Andriotis, C. & Bukhsh, Z., 1 Oct 2023. 8 p.

  Research output: Unpublished contribution to conference › Unpublished paper

  Open Access

• A Layout-informed Retrieval Augmented Generation Framework for Document-based Chat

  Tchuitcheu, W. C., Lu, T. & Dooms, A., 16 Oct 2023.

  Research output: Unpublished contribution to conference › Poster

  • Optical character recognition 100%

• Certified safe real-time control of cooperative aerial robot systems with explicit reference governors

  Convens, B., 2023, 273 p.

  Research output: Thesis › PhD Thesis

  • Governors 100%
  • Real time control 87%
  • Antennas 52%
  • Robots 51%
  • Robotics 38%

• Dealing with Expert Bias in Collective Decision-Making

  Abels, A., Lenaerts, T., Trianni, V. & Nowe, A., Jul 2023, In: Artificial Intelligence. 320, 22 p., 103921.

  Research output: Contribution to journal › Article › peer-review

  • collective decision 100%
  • Decision making 54%
  • decision making 47%
  • expert 47%
  • Decision Making 42%
  2 Citations (Scopus)

• Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds

  Botoko Ekila, J., Nevens, J., Verheyen, L., Beuls, K. & Van Eecke, P., 2023, (Unpublished).

  Research output: Unpublished contribution to conference › Poster

  • Autonomous agents 100%
  • Linguistics 77%
  • Unsupervised learning 46%
  • Supervised learning 43%
  • Color 29%

• Demo: Languages competing in a city

  Dekker, P., 1 Mar 2023

  Research output: Non-textual form › Digital or Visual Products

  • simulation 100%
  • minority 57%
  • linguistics 55%
  • simulation model 52%
  • experiment 25%

• Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps

  Perez Sanjines, F. R., Peeters, C., Verstraeten, T., Vervlimmeren, I., Nowe, A. & Helsen, J., 28 Sep 2023, ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. ASME, Vol. 14. 9 p. v014t37a001. (Proceedings of the ASME Turbo Expo; vol. 14).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

  • Fault detection 100%
  • Deep learning 96%
  • Turbines 55%
  • Frequency bands 31%

• Efficiently Explaining CSPs with Unsatisfiable Subset Optimization

  Gamba, E., Bogaerts, B. & Guns, T., 25 Nov 2023, In: Journal of Artificial Intelligence Research. 78, p. 709-746 38 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Constraint satisfaction problems 100%
  • Set theory 49%
  • Cost functions 20%
  • Costs 4%
  4 Citations (Scopus)

  38 Downloads (Pure)