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Biografia

Cong Liu é doutorado pela Eindhoven University of Technology, nos Países Baixos (2019), onde integrou o Process Mining Group. A sua investigação centra-se nas áreas de process mining, gestão de processos de negócio e inteligência artificial. Conta com mais de 100 publicações em revistas e conferências de referência, como IEEE Transactions on Services Computing, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Cloud Computing, IEEE/CAA Journal of Automatica Sinica, Information Sciences, Information Fusion, ICWS, ICPC e EuroVIS, entre outras. O seu trabalho reúne mais de 3.500 citações e um índice h de 29, de acordo com o Google Scholar.

Publicações Cientificas

Ožbot, M., Souza, P. V. C., & Škrjanc, I. (2025)

Evolving Gaussian Systems as a Framework for Federated Regression Problems. IEEE Transactions on Fuzzy Systems, 33(10), 3736-3746. https://doi.org/10.1109/TFUZZ.2025.3601900

Rodrigues, S., da Silva, A. M., & Campos Souza, P. V. (2025)

eFCMG: an evolving fuzzy classifier with participatory learning and multivariable gaussian for data stream. Evolving Systems, 16(2), Article 47. https://doi.org/10.1007/s12530-025-09674-0

Apriceno, G., Segala, M., Valer, G., Muraro, N., Netti, V., Souza, P. V. D. C., & Dragoni, M. (2025)

A Trustworthy Evolutionary Fuzzy Neural Network Framework for Maternal Health Risk Classification. In R. Bellazzi, J. M. Juarez Herrero, L. Sacchi, & B. Zupan (Eds.), Artificial Intelligence in Medicine: 23rd  International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part II (pp. 18-23). (Lecture Notes in Computer Science; Vol. 15735). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-95841-0_4

Souza, P. V. D. C., & Dragoni, M. (2024)

EFNN-Nul0- a trustworthy knowledge extraction about stress identification through evolving fuzzy neural networks. Fuzzy Sets And Systems, 487, Article 109008. https://doi.org/10.1016/j.fss.2024.109008

de Campos Souza, P. V., Lughofer, E., Batista, H. R., & Guimaraes, A. J. (2022)

An Evolving Fuzzy Neural Network Based on Or-Type Logic Neurons for Identifying and Extracting Knowledge in Auction Fraud. Mathematics, 10(20), Article 3872. https://doi.org/10.3390/math10203872

Souza, P. V. D. C., Lughofer, E., & Guimaraes, A. J. (2021)

Evolving Fuzzy Neural Network Based on Uni-nullneuron to Identify Auction Fraud. In Joint Proceedings of the 19th  World Congress of the International Fuzzy Systems Association (IFSA), the 12th  Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th  International Summer School on Aggregation Operators (AGOP) (Atlantis Press in Uncertainty Modelling). Atlantis Press. https://doi.org/10.2991/ASUM.K.210827.042

Vitor de Campos Souza, P., Lughofer, E., & Junio Guimaraes, A. (2021)

Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Proceedings (pp. 1-8). (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494416

de Campos Souza, P. V., Guimaraes, A. J., Araujo, V. S., Rezende, T. S., & Araujo, V. J. S. (2019)

Using Fuzzy Neural Networks Regularized to Support Software for Predicting Autism in Adolescents on Mobile Devices. In M. Elhoseny, & A. K. Singh (Eds.), Smart Network Inspired Paradigm and Approaches in IoT Applications (pp. 115-133). Springer Singapore. https://doi.org/10.1007/978-981-13-8614-5_7