Parties d'ouvrages collectifs (7)
  1. 7. Lenaerts, T., & De Vylder, B. (2005). On the Evolutionary Dynamics of Meaning/Word Associations. In A. Benziane, G. Jaeger, P. J. Meerts, & R. Van Rooij (Eds.), Pragmatics and Game Theory. Academic Palgrave McMillan.
    2.   Articles dans des revues avec comité de lecture (121)
  2. 1. Terrucha, I., Domingos, E. F., Santos, F. C., Simoens, P., & Lenaerts, T. (2024). The art of compensation: How hybrid teams solve collective-risk dilemmas. PloS one, 19(2 February), e0297213. doi:10.1371/journal.pone.0297213
  3. 2. Lenaerts, T., Saponara, M., Pacheco, J. J., & Santos, F. C. (2024). Evolution of a theory of mind. iScience, 27(2), 108862. doi:10.1016/j.isci.2024.108862
  4. 3. Stefanija, A. P., Buelens, B., Goesaert, E., Lenaerts, T., Pierson, J. R., & Van den Bussche, J. (2024). Toward a Solid Acceptance of the Decentralized Web of Personal Data: Societal and Technological Convergence. Communications of the ACM, 67(1), 43-46. doi:10.1145/3624555
  5. 4. Nachtegael, C., De Stefani, J., & Lenaerts, T. (2023). A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction. PloS one, 18(12), e0292356. doi:10.1371/journal.pone.0292356
  6. 5. Piron, A., Szymczak, F., Papadopoulou, T., Alvelos, M. I., Defrance, M., Lenaerts, T., Eizirik, D. L., & Cnop, M. (2023). RedRibbon: A new rank–rank hypergeometric overlap for gene and transcript expression signatures. Life science alliance, 7(2), e202302203. doi:10.26508/lsa.202302203
  7. 6. Boutry, S., Helaers, R., Lenaerts, T., & Vikkula, M. (2023). Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations. Briefings in bioinformatics, 24(6). doi:10.1093/bib/bbad412
  8. 7. Boutry, S., Helaers, R., Lenaerts, T., & Vikkula, M. (2023). Excalibur: A new ensemble method based on an optimal combination of aggregation tests for rare-variant association testing for sequencing data. PLoS computational biology, 19(9), e1011488. doi:10.1371/journal.pcbi.1011488
  9. 8. Renaux, A., Terwagne, C. C., Cochez, M., Tiddi, I., Nowe, A., & Lenaerts, T. (2023). A knowledge graph approach to predict and interpret disease-causing gene interactions. BMC bioinformatics, 24(1). doi:10.1186/s12859-023-05451-5
  10. 9. Abels, A., Lenaerts, T., Trianni, V., & Nowé, A. (2023). Dealing with expert bias in collective decision-making. Artificial intelligence, 320, 103921. doi:10.1016/j.artint.2023.103921
  11. 10. Versbraegen, N., Gravel, B., Nachtegael, C., Renaux, A., Verkinderen, E., Nowe, A., Lenaerts, T., & Papadimitriou, S. (2023). Faster and more accurate pathogenic combination predictions with VarCoPP2.0. BMC bioinformatics, 24(1). doi:10.1186/s12859-023-05291-3
  12. 11. Fernandez Domingos, E., Santos, F. C., & Lenaerts, T. (2023). EGTtools: Evolutionary game dynamics in Python. iScience, 26(4), 106419. doi:10.1016/j.isci.2023.106419
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