Communications publiées lors de congrès ou colloques nationaux et internationaux (47)

  1. 46. Lenaerts, T., & Manderick, B. (1998). Building a genetic programming framework: The added-value of design patterns. In Proceedings of the First European Workshop on Genetic Programming: Vol. LNCS 1391 (pp. 196-208) Springer.
  2. 47. Lenaerts, T., Deridder, D., & Manderick, B. (1997). Genetic programming and data mining: an empirical evaluation of basic functionalities. Proceedings of the 9th Benelux Conference on Artificial intelligence (pp. 59-68) BNAIC.
  3.   Rapports de recherche, comptes rendus, lettres à l'éditeur, working papers (1)

  4. 1. Kirchsteiger, G., Lenaerts, T., & Suchon, R. (2022). Does Voluntary Information Disclosure Lead to Less Cooperation than Mandatory Disclosure? Evidence from a Sequential Prisoner’s Dilemma Experiment. (ECARES Working Papers No 2022-26).
  5.   Participations à des congrès et colloques internationaux (143)

  6. 1. Bosch, I., Renaux, A., Gravel, B., & Lenaerts, T. (2023). Knowledge graph embeddings for the prediction of pathogenic gene pairs. Benelux Ai Conference Abstract session presented at Benelux Ai Conference (BNAIC)(8-10/11/2023: Delft, les Pays-Bas)
  7. 2. Versbraegen, N., Gravel, B., Nachtegael, C., Renaux, A., Verkinderen, E., Nowé, A., Lenaerts, T., & Papadimitriou, S. (2023). Faster and more accurate pathogenic combination predictions with VarCoPP2.0. Benelux AI Conference (BNAIC) / Benelux Machine Learning Conference (Benelearn) Abstract session presented at Benelux AI Conference (BNAIC) / Benelux Machine Learning Conference (Benelearn)(8-10/11/2023: Delft, les Pays-Bas)
  8. 3. Abels, A., Lenaerts, T., Trianni, V., & Nowé, A. (2023). Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. Benelux AI Conference (BNAIC) and the Benelux Machine learning Conference (Benelearn) Abstract session presented at Benelux AI Conference (BNAIC) and the Benelux Machine learning Conference (Benelearn)(8-10/11/2023: Delft)
  9. 4. Terrucha, I., Fernandez Domingos, E., Simoens, P., & Lenaerts, T. (2023). To avoid collective disasters, it is better to commit to a flawed AI than to commit the errors ourselves. European Conference on AI: volutionary Dynamics in social, cooperative and hybrid AI (EDAI) workshop Abstract session presented at Evolutionary Dynamics in social, cooperative and hybrid AI workshop(Cracovie)
  10. 5. Terrucha, I., Fernandez Domingos, E., Suchon, R., Santos, F. C., Simoens, P., & Lenaerts, T. (2023). Delegation to autonomous agents : a key to overcome past failure and focus on the collective target ahead. Abstract session presented at the 9th International Conference on Computational Social Science (IC2S2)(17-19/07/2023: Copenhagen)
  11. 6. Abels, A., Lenaerts, T., & Nowé, A. (2023). Mitigating Biases and Reward Uncertainty in Collective Decision-Making. CHAI workshop 2023 Abstract session presented at 7th Annual Center for Human-Compatible AI Workshop(7: 16-18/06/2023: Pacific Grove, California, USA)
  12. 7. Nachtegael, C., De Stefani, J., & Lenaerts, T. (2023). ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation. Poster présenté à la conférence European Chapter of the Association for Computational Linguistics: System Demonstrations (17: Dubrovnik).
  13. 8. Gravel, B., Papadimitriou, S., Nachtegael, C., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2023). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Abstract session presented at Genomics of Rare Disease(17: 24-26/04/2023: Wellcome Genome Campus, UK)
  14. 9. Nachtegael, C., Papadimitriou, S., Gravel, B., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2023). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Abstract session presented at Annual Biocuration Conference(16: 24-26/04/2023: Padua, Italie)

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