Communications publiées lors de congrès ou colloques nationaux et internationaux (64)

2. Levasseur, G., & Bersini, H. (2022). Time Series Representation for Real-World Applications of Deep Neural Networks. In IEEE. doi:10.1109/IJCNN55064.2022.9892244
3. Potvin, N., Bersini, H., & Milojevic, D. (2022). Espresso to the rescue of genetic programming facing exponential complexity. GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (p. 590–593). doi:https://doi.org/10.1145/3520304.3529005
4. García-Díaz, A., & Bersini, H. (2021). DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel. In 2021 International Joint Conference on Neural Networks (IJCNN): 2021 Conference Proceedings Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IJCNN52387.2021.9533783
5. García-Díaz, A., & Bersini, H. (2020). Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach. In 2020 International Joint Conference on Neural Networks (IJCNN): 2020 Conference Proceedings Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IJCNN48605.2020.9207416
6. Gilon, C., Grégoire, J.-M., & Bersini, H. (2020). Forecast of paroxysmal atrial fibrillation using a deep neural network. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7) IEEE. doi:10.1109/IJCNN48605.2020.9207227
7. Devooght, R., & Bersini, H. (2018). Accelerating model-based collaborative filtering with item clustering. Proceedings of ... International Joint Conference on Neural Networks., 8489557. doi:10.1109/IJCNN.2018.8489557
8. Devooght, R., & Bersini, H. (2017). Long and Short-Term Recommendations with Recurrent Neural Networks.
9. Devooght, R., Mantrach, A., Kivimäki, I., Bersini, H., Jaimes, A. Y. L., & Saerens, M. (2014). Random Walks Based Modularity: Application to Semi-Supervised Learning. Proceedings of the 23rd International Conference on World Wide Web 23rd International Conference on World Wide Web
10. Kivim"aki, I., Panchenko, A., Dessy, A., Verdegem, D., Francq, P., Bersini, H., & Saerens, M. (2013). A Graph-Based Approach to Skill Extraction from Text.
11. Bersini, H., & van Zeebroeck, N. (2013). A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff. In Advances in Intelligent Systems and Computing: Trends in Practical Applications of Agents and Multiagent Systems: Vol. 221 (pp. 1-8) Springer.
12. Thomas-Vaslin, V., Six, A., Pham, H. O., Zerrath, B., Chaara, W., Derian, N., Klatzmann, D., & Bersini, H. (2010). Statistical and computer modelling of T lymphocyte population's dynamics in mice through aging. Proceedings of Commisco 2010 Commisco 2010
13. Plasson, R., Bersini, H., Julien, L., & Akasura, K. (2010). Autocatalyses. Proceedings of Artificial Life 2010 (pp. 123-128) Artificial Life 2010.

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