Subsidie: Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen

Onderzoeksoutput

Onderzoeksoutput per jaar 2020 2021

• 14 Conference paper
• 8 Article
• 3 Unpublished paper
• 1 Poster
• 2 Meer
  • 1 Blog
  • 1 Software

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2021

  A computational construction grammar approach to semantic frame extraction

  Beuls, K., Van Eecke, P. & Cangalovic, V. S., 1 jan 2021, In : Linguistics Vanguard. 7, 1, 12 blz., 20180015.

  Onderzoeksoutput: Article

  • Frame Semantics 100%
  • Construction Grammar 90%
  • grammar 63%
  • Computational 61%
  • semantics 55%
  1 Citaat (Scopus)

• Beyond global and local multi-target learning

  Basgalupp, M., Cerri, R., Schietgat, L., Triguero, I. & Vens, C., nov 2021, In : Information Sciences. 579, blz. 508-524 17 blz.

  Onderzoeksoutput: Article

  • Learning 100%
  • Target 94%
  • Strategy 56%
  • Global Strategy 49%
  • Partition 22%

• Communication Strategies in Multi-Objective Normal-Form Games

  Röpke, W., Radulescu, R., Roijers, D. M. & Nowe, A., 3 mei 2021. 9 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

• Computersimulaties laten zien hoe taal versimpelt

  Dekker, P., 10 jun 2021, Wtnschp.be (wetenschapsblog).

  Onderzoeksoutput: Blog › Vulgarizing

• Cooperative Prioritized Sweeping

  Bargiacchi, E., Verstraeten, T. & Roijers, D. M., 2021, Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. IFAAMAS, blz. 160-168 9 blz.

  Onderzoeksoutput: Conference paper

• Effect of wake on gearbox design load cases identified from fleet-wide operational data

  Daems, P-J., Verstraeten, T., Peeters, C. & Helsen, J., mrt 2021, Conference for wind turbine drivetrains 2021. Forschung im Ingenieurwesen: Springer, Vol. 85. blz. 553-558 6 blz. (Forschung im Ingenieurwesen/Engineering Research).

  Onderzoeksoutput: Conference paper

  Open Access

  • effect 100%
  • farm 80%
  • fatigue 49%
  • industry 28%

• Farm-wide dynamic event classification as load input for wind turbine drivetrain lifetime prognosis

  Daems, P-J., Peeters, C., Verstraeten, T., Perez Sanjines, F. R. & Helsen, J., 2021, ISMA2020 International Conference on Noise and Vibration Engineering. Leuven, Belgium: KU Leuven, Vol. 29. blz. 3541-3551 10 blz.

  Onderzoeksoutput: Conference paper

  • Condition monitoring 100%
  • Farms 93%
  • Wind turbines 83%
  • Industry 4.0 63%
  • Sensors 49%

• On the Performance of the Nonsynaptic Backpropagation for Training Long-term Cognitive Networks

  Nápoles, G., Grau, I., Concepcion, L. & Salgueiro, Y., 2021, (Accepted/In press) Proceedings of the 11th International Conference on Pattern Recognition Systems. blz. 1-6 6 blz.

  Onderzoeksoutput: Conference paper

  • Backpropagation algorithms 100%
  • Recurrent neural networks 93%
  • Backpropagation 84%
  • Network performance 42%
  • Neurons 40%

• Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games

  Radulescu, R., Verstraeten, T., Zhang, Y., Mannion, P., Roijers, D. M. & Nowe, A., 19 jun 2021, In : Neural Computing & Applications. 2021, 23 blz.

  Onderzoeksoutput: Article

  • Reinforcement learning 100%
  1 Citaat (Scopus)

• Scalable Optimization for Wind Farm Control using Coordination Graphs

  Verstraeten, T., Daems, P-J., Bargiacchi, E., Roijers, D. M., Libin, P. & Helsen, J., 3 mei 2021, Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, blz. 1362-1370 9 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

  Onderzoeksoutput: Conference paper

  • Farms 100%
  • Turbines 39%
  • Physics 17%
  • Heuristic methods 11%
  • Multi agent systems 9%

• Set-Valued Inductive Rule Learning

  Coppens, Y., 12 feb 2021

  Onderzoeksoutput: Software

• Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning

  Coppens, Y., Steckelmacher, D., Jonker, C. M. & Nowe, A., 13 apr 2021, Trustworthy AI - Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers. Heintz, F., Milano, M. & O'Sullivan, B. (redactie). 1 redactie Cham: Springer International Publishing, blz. 163-179 17 blz. (Lecture Notes in Computer Science; vol. 12641).

  Onderzoeksoutput: Conference paper

  • Reinforcement learning 100%
  • Set theory 61%
  • Learning algorithms 41%
  • Neural networks 14%

• Word prediction in computational historical linguistics

  Dekker, P. & Zuidema, W., 4 feb 2021, In : Journal of Language Modelling. 8, 2, blz. 295–336 42 blz.

  Onderzoeksoutput: Article

  Open Access

  Bestand

  • Computational linguistics 100%
  • Linguistics 50%
  • Machine learning 27%
  • Trees (mathematics) 20%
  • Acoustic waves 14%
  30 Downloads (Pure)
• 2020

  AI-toolbox: A C++ library for reinforcement learning and planning (with Python Bindings)

  Bargiacchi, E., Roijers, D. M. & Nowé, A., 1 mei 2020, In : Journal of Machine Learning Research. 21, 102, blz. 1-12 12 blz.

  Onderzoeksoutput: Article

  Open Access

  Bestand

  • Reinforcement Learning 100%
  • Python 99%
  • C++ 88%
  • Observability 73%
  • Libraries 72%
  2 Citaten (Scopus)

  54 Downloads (Pure)

• AI-Toolbox: A Framework for Fundamental Reinforcement Learning

  Bargiacchi, E., Roijers, D. M. & Nowe, A., 2020, Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). CEUR Workshop Proceedings, blz. 359-360 2 blz.

  Onderzoeksoutput: Conference paper

  Open Access

• A Utility-Based Analysis of Equilibria in Multi-Objective Normal Form Games

  Radulescu, R., Mannion, P., Zhang, Y., Roijers, D. & Nowe, A., 2020, In : The Knowledge Engineering Review. 35, 21 blz., e32.

  Onderzoeksoutput: Article

  • Multi agent systems 100%
  1 Citaat (Scopus)

• DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments

  Nian, X., Irissappane, A. A. & Roijers, D. M., 1 jan 2020, AAMAS 2020: Proceedings of the Nineteenth International Joint Conference on Autonomous Agents and Multi-Agent Systems. An, B., El Fallah Seghrouchni, A. & Sukthankar, G. (redactie). IFAAMAS, blz. 931–938 8 blz. (AAMAS proceedings).

  Onderzoeksoutput: Conference paper

  • Reinforcement learning 100%
  • Decision making 35%
  • Data storage equipment 29%

• Deep Reinforcement Learning for Solving TrainUnit Shunting Problem with Interval Timing

  Lee, W-J., Jamshidi, H. & Roijers, D. M., 2020, Proceedings of the European Dependable Computing Conference: Artificial Intelligence for RAILwayS at EDCC. Springer, Vol. 1279. blz. 99-110 12 blz. (Communications in Computer and Information Science; vol. 1279).

  Onderzoeksoutput: Conference paper

• Fleet Control using Coregionalized Gaussian Process Policy Iteration

  Verstraeten, T., Libin, P. & Nowe, A., 24 aug 2020, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020). De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (redactie). IOS Press, Vol. 325. blz. 1571-1578 8 blz. (Frontiers in Artificial Intelligence and Applications).

  Onderzoeksoutput: Conference paper

  • Reinforcement learning 100%
  • Farms 95%
  • Internet of things 43%
  • Degradation 33%
  • Specifications 30%

• Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models

  Roijers, D. M., Zintgraf, L. M., Libin, P., Reymond, M., Bargiacchi, E. & Nowe, A., 2020, ECML-PKDD 2020: Proceedings of the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 16 blz.

  Onderzoeksoutput: Conference paper

• Linguistic Enrichment of Historical Dutch using Deep Learning

  Creten, S., Dekker, P. & Vandeghinste, V., 13 dec 2020, In : Computational Linguistics in the Netherlands Journal. 10, blz. 57-72 16 blz.

  Onderzoeksoutput: Article

  Open Access

  Bestand

  • Enrichment 100%
  • Error Analysis 88%
  • Tag 69%
  • Labeling 61%
  • Part-of-speech Tagging 47%
  16 Downloads (Pure)

• Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

  Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. & Nowe, A., 21 apr 2020, In : Scientific Reports - Nature. 10, 1, 14 blz., 6728.

  Onderzoeksoutput: Article

  Open Access

  Bestand

  • Farms 100%
  • Benchmarking 47%
  • Poisson Distribution 32%
  • Emotions 17%
  • Learning 16%
  3 Citaten (Scopus)

  42 Downloads (Pure)

• Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures

  Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. M. & Nowe, A., 19 nov 2020, Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). Benelux Association for Artificial Intelligence (BNVKI-AIABN), blz. 394-395 2 blz.

  Onderzoeksoutput: Conference paper

  Open Access

• Neural Agent-based Models To Study Language Contact Using Linguistic Data

  Dekker, P. & De Boer, B., 12 dec 2020, blz. 1-6. 6 blz.

  Onderzoeksoutput: Poster

  • Linguistics 100%
  • Communication 13%

• Recent Advances in Multi-Objective Multi-Agent Decision Making

  Radulescu, R., Mannion, P., Roijers, D. M. & Nowe, A., 19 nov 2020, Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). Benelux Association for Artificial Intelligence (BNVKI-AIABN), blz. 392-394 2 blz.

  Onderzoeksoutput: Conference paper

  Open Access

• Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning

  Coppens, Y., Steckelmacher, D., Jonker, C. M. & Nowe, A., 4 sep 2020. 16 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

  • Reinforcement learning 100%
  • Set theory 61%
  • Learning algorithms 54%

• Thompson Sampling for Factored Multi-Agent Bandits

  Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 31 mei 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. An, B., El Fallah Seghrouchni, A. & Sukthankar, G. (redactie). IFAAMAS, blz. 2029-2031 3 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

  Onderzoeksoutput: Conference paper

  • Sampling 100%
  • Gems 38%
  • Warehouses 27%
  • Factorization 23%
  • Farms 23%
  2 Citaten (Scopus)

• Thompson Sampling for Loosely-Coupled Multi-Agent Systems: An Application to Wind Farm Control

  Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 9 mei 2020. 9 blz.

  Onderzoeksoutput: Unpublished paper