English name: Artificial Intelligence Laboratory
Parent institute: Vrije Universiteit Brussel; Vakgroep Computerwetenschappen (VUB), more
MRG keywords (2) : Renewable energy; Underwater noise & sound
Type: Scientific
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1 Director: Head of the department 2 Marine scientist: Works in this research group and acts as (co-)author in at least one marine publication in the last 5 years. 3 Specialized personnel: Provides administrative or technical support to marine scientific research.
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| Abstract: |
The Artificial Intelligence laboratory has expertise in computational creativity, emergent communication and language, computational construction grammar, reinforcement learning, game theory, preference handling, computational biology, computer vision and deep learning, learning in multi-agent systems, and machine learning for data mining. They focus on developing computational systems that exhibit creative behaviors, self-organising languages, mapping natural language to meaning representations, and self-learning systems. They also analyse human decision-making strategies, study social dilemmas and participant decision-making, apply data-analytical and simulation techniques to biological systems, and explore computer vision and deep learning in various domains. Their research extends to decentralised systems, cognitive AI, and the evolution of speech using AI methods.
In the marine field, the group explores the following topics:
- vocal plasticity in harbor seal pups, investigating the potential for changes in their vocalisations over time;
- developing a framework for automatically and continuously classifying Supervisory Control and Data Acquisition (SCADA) data from an offshore wind farm into different design load cases. By analysing the data, the effects of wake on the loading conditions experienced by wind turbines is assessed. This data-driven approach using sensor-equipped turbines allows for a more detailed understanding of the loading events throughout the turbines' lifetime, which can inform future design iterations for improved optimisation based on realistic conditions.
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| Publications (12) |
Top | Persons |
( 11 peer reviewed ) split up filter
 Kocsis, K.; Duengen, D.; Jadoul, Y.; Ravignani, A. (2024). Harbour seals use rhythmic percussive signalling in interaction and display. Anim. Behav. 207: 223-234. https://dx.doi.org/10.1016/j.anbehav.2023.09.014, more- Anichini, M.; de Reus, K.; Hersh, T.A.; Valente, D.; Salazar-Casals, A.; Berry, C.; Keller, P.E.; Ravignani, A. (2023). Measuring rhythms of vocal interactions: a proof of principle in harbour seal pups. Phil. Trans. R. Soc. Lond. (B Biol. Sci.) 378(1875): 20210477. https://dx.doi.org/10.1098/rstb.2021.0477, more
- Chesterman, X.; Verstraeten, T.; Daems, P.J.; Nowé, A.; Helsen, J. (2023). Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms. Wind Energy Science 8(6): 893-924. https://dx.doi.org/10.5194/wes-8-893-2023, more
- Salazar-Casals, A.; de Reus, K.; Greskewitz, N.; Havermans, J.; Geut, M.; Villanueva, S.; Rubio-Garcia, A. (2022). Increased incidence of entanglements and ingested marine debris in Dutch seals from 2010 to 2020. Oceans 3(3): 389-400. https://dx.doi.org/10.3390/oceans3030026, more
- Borda, L.T.; Jadoul, Y.; Rasilo, H.; Casals, A.S.; Ravignani, A. (2021). Vocal plasticity in harbour seal pups. Phil. Trans. R. Soc. Lond. (B Biol. Sci.) 376(1840): 20200456. https://dx.doi.org/10.1098/rstb.2020.0456, more
- Daems, P.-J.; Verstraeten, T.; Peeters, C.; Helsen, J. (2021). Effects of wake on gearbox design load cases identified from fleet-wide operational data. Forschung im Ingenieurwesen-Engineering Research 85: 553-558. https://hdl.handle.net/10.1007/s10010-021-00444-3, more
- Ravignani, A. (2019). Timing of antisynchronous calling: a case study in a harbor seal pup (Phoca vitulina). Journal of Comparative Psychology 133(2): 272-277. https://dx.doi.org/10.1037/com0000160, more
- Ravignani, A.; Kello, C.T.; de Reus, K.; Kotz, S.A.; Dalla Bella, S.; Méndez-Aróstegui, M.; Rapado-Tamarit, B.; Rubio-Garcia, A.; de Boer, B. (2019). Ontogeny of vocal rhythms in harbor seal pups: an exploratory study. Curr. Zool. 65(1): 107-120. https://dx.doi.org/10.1093/cz/zoy055, more
- Verstraeten, T.; Nowe, A.; Keller, J.; Guo, Y.; Sheng, S.W.; Helsen, J. (2019). Fleetwide data-enabled reliability improvement of wind turbines. Renew. Sust. Energ. Rev. 109: 428-437. https://dx.doi.org/10.1016/j.rser.2019.03.019, more
- Ravignani, A.; Gross, S.; Garcia, M.; Rubio-Garcia, A.; de Boer, B. (2017). How small could a pup sound? The physical bases of signaling body size in harbor seals. Curr. Zool. 63(4): 457-465. https://dx.doi.org/10.1093/cz/zox026, more
- Ravignani, A.; Fitch, W.T.; Hanke, F.D.; Heinrich, T.; Hurgitsch, B.; Kotz, S.A.; Scharff, C.; Stoeger, A.S.; de Boer, B. (2016). What pinnipeds have to say about human speech, music, and the evolution of rhythm. Frontiers in Neuroscience 10: 9 pp. https://dx.doi.org/10.3389/fnins.2016.00274, more
- Rodrigues, S.; Pinto, R.T.; Bauer, P.; Brys, T.; Nowé, A. (2015). Online distributed voltage control of an offshore MIdc network using reinforcement learning, in: 2015 IEEE Congress on Evolutionary Computation (CEC): proceedings. pp. 1769-1775. https://dx.doi.org/10.1109/CEC.2015.7257101, more
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