Participations à des congrès et colloques internationaux (143)
  1. 10. Papadimitriou, S., Gravel, B., Nachtegael, C., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2022). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Rare Med Symposium Abstract session presented at Rare Med Symposium(8-12-2022: Gent)
  2. 11. Renaux, A., Terwagne, C. C., Cochez, M., Tiddi, I., Nowé, A., & Lenaerts, T. (2022). A knowledge graph approach for interpretable prediction of pathogenic genetic interactions. Poster présenté à la conférence European Conference on Computational Biology (ECCB) 2022 (2022-07: Sitges, Spain). doi:10.7490/f1000research.1119234.1
  3. 12. Abels, A., Fernandez Domingos, E., Lenaerts, T., Trianni, V., & Nowé, A. (2022). Bias Mitigation in Decision-Making with Expert Advice. Benelux AI Conference (BNAIC) and Benelux machine learning conference (Benelearn) Abstract session presented at Benelux AI Conference (BNAIC) and Benelux machine learning conference (Benelearn)(7-9/11/2022: Antwerpen, Belgique)
  4. 13. Abels, A., Lenaerts, T., Trianni, V., & Nowé, A. (2022). A New Approach to Handle Non-Stationarity in Collective Decision-Making. ACM Collective Intelligence conference Abstract session presented at ACM Collective Intelligence conference (CI)(Virtual)
  5. 14. Abels, A., Lenaerts, T., Trianni, V., & Nowé, A. (2022). A Novel Approach to Handle Non-stationarity in Collective Decision-Making with Experts. Abstract session presented at ACM Collective Intelligence Conference 2022(20-21 Octobre 2022: Online)
  6. 15. Montero-Porras, E., Gruji'c, J., Fernandez Domingos, E., & Lenaerts, T. (2022). Inferring Strategies from Observations in Long Iterated Prisoner’s Dilemma Experiments. Abstract session presented at Complex Systems Conference 2022(17-21/10/2022: Palma de Mallorca, Spain)
  7. 16. Versbraegen, N., Gravel, B., Nachtegael, C., Renaux, A., Verkinderen, E., Nowé, A., Lenaerts, T., & Papadimitriou, S. (2022). Taking the prediction of pathogenic variant-combinations to the next level with VarCoPP2.0. Poster présenté à la conférence European Conference on Computational Biology (21: 12-21 September 2022: Sitges, Barcelona).
  8. 17. Renaux, A., Terwagne, C. C., Cochez, M., Tiddi, I., Nowé, A., & Lenaerts, T. (2022). A knowledge graph approach for interpretable prediction of pathogenic genetic interactions. Abstract session presented at 7th European Student Council Symposium (ESCS)(2022-07-18: Sitges, Spain)
  9. 18. Montero-Porras, E., Grujić, J., Fernandez Domingos, E., & Lenaerts, T. (2022). Inferring Strategies from Observations in Long Iterated Prisoner’s Dilemma Experiments. Abstract session presented at International Conference on Social Dilemmas(19-22/07/2022: Coppenhagen, Denmark)
  10. 19. Terrucha, I., Fernandez Domingos, E., Santos, F. C., Simoens, P., & Lenaerts, T. (2022). The art of compensation : how hybrid teams solve collective risk dilemmas. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): Adaptive and Learning Agents (ALA) Workshop Abstract session presented at Adaptive and Learning Agents (ALA) Workshop(9-10/5/2022: Auckland, NZ)
  11. 20. Nachtegael, C., Gravel, B., Dillen, A., Smits, G., Nowe, A., Papadimitriou, S., & Lenaerts, T. (2022). Scaling up the oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Poster présenté à la conférence Genomics of Rare Disease 2022.
  12. 21. Han, T. A. T., Pereira, L. M., Santos, F. C., & Lenaerts, T. (2021). Modelling and regulating safety compliance: Game theory lessons from AI development races analyses. Abstract session presented at AISafety workshop, organised at the International Joint Conference on Artificial Intelligence(30: 19-26/8/2021: Montreal, Canada)
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