Articles dans des revues avec comité de lecture (128)
  1. 120. Chu, D., Lee, H.-C., & Lenaerts, T. (2005). Evolution of DNA uptake signal sequences. Artificial life, 11(3), 317-338. doi:10.1162/1064546054407176
  2. 121. Bersini, H., Lenaerts, T., & Santos, F. C. (2005). Growing biochemical networks: Identifying the intrinsic properties. Lecture notes in computer science, 3630 LNAI, 864-873. doi:10.1007/11553090_87
  3. 122. Defaweux, A., Lenaerts, T., & van Hemert, J. J. (2005). Evolutionary transitions as a metaphor for evolutionary optimisation. Lecture notes in computer science, 3630 LNAI, 342-352. doi:10.1007/11553090_35
  4. 123. Lenaerts, T., Chu, D., & Watson, A. (2005). Dynamical Hierarchies. Artificial life, 11(4), 403-405.
  5. 124. Defaweux, A., Lenaerts, T., van Hemert, J. J., & Parent, J. (2005). Transition models as an incremental approach for problem solving in evolutionary algorithms. Lecture notes in computer science, 599-606.
  6. 125. Defaweux, A., Lenaerts, T., van Hemert, J. J., & Parent, J. (2005). A study on the impact of the initial population in a transition based evolutionary algorithm. Computer Society ..., 196-203.
  7. 126. Chu, D., Lee, H., & Lenaerts, T. (2005). Emergence of uptake signals in bacterial DNA. Artificial life, 11(3), 317-338.
  8. 127. Tuyls, K., Nowe, A., Lenaerts, T., & Manderick, B. (2004). An evolutionary game theoretic perspective on learning in multi-agent systems. Synthese, 139(2), 297-330.
  9. 128. Eggermont, J., Lenaerts, T., Poyhonen, S., & Termier, A. (2001). Raising the dead: Extending evolutionary algorithms with a case-based memory. Lecture notes in computer science, 2038, 280-290.
    10.   Articles dans des revues sans comité de lecture (1)
  10. 1. Piron, A., Szymczak, F., De Oliveira Alvelos, M., Defrance, M., Lenaerts, T., Eizirik, D. L., & Cnop, M. (2022). RedRibbon: A new rank-rank hypergeometric overlap pipeline to compare gene and transcript expression signatures. BioRxiv. doi:https://doi.org/10.1101/2022.08.31.505818
    11.   Communications publiées lors de congrès ou colloques nationaux et internationaux (49)
  11. 1. Molinghen, Y., Avalos, R., Van Achter, M., Nowé, A., & Lenaerts, T. (2024). Laser Learning Environment: A new environment for coordination-critical multi-agent tasks. In F. F. Oliehoek, K. Manon, & S. Verwer (Eds.), Artificial Intelligence and Machine Learning: Revised Selected Papers. (Communications in Computer and Information Science, 2187 CCIS). Springer Science and Business Media Deutschland GmbH. doi:https://doi.org/10.1007/978-3-031-74650-5_8
  12. 2. Leung, C. W., Lenaerts, T., & Turrini, P. (2024). To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty. In K. Larson (Ed.), Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (pp. 111-119) International Joint Conferences on Artificial Intelligence (IJCAI) Organization. doi:10.24963/ijcai.2024/13
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