Personal identification

Full name

Ricardo Daniel Cardoso Pereira

Gender

Male

Citation names

• Ricardo Cardoso Pereira

Author identifiers

Ciência ID

7118-AC4F-2CE0

ORCID iD

0000-0003-1735-0771

Google Scholar ID

mHupdO8AAAAJ

Scopus Author Id

57205693608

Email addresses

• rdpereira@dei.uc.pt (Professional)

Websites

• https://ricardodcpereira.com (Personal)
• https://scholar.google.com/citations?user=mHupdO8AAAAJ (Scholar)

Knowledge fields

• Exact Sciences - Computer and Information Sciences - Information Science

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Portuguese (Mother tongue)
English	Advanced (C1)	Proficiency (C2)	Advanced (C1)	Proficiency (C2)	Advanced (C1)

	Degree	Classification
2018/09/01 - 2023/07/21 Concluded	Engenharia Informática (Doutoramento) Major in Intelligent Systems Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal "Artificial Intelligence Strategies for Missing Data Imputation using Healthcare Data" (THESIS/DISSERTATION)	Unanimously Approved with Distinction and Honors (Summa Cum Laude)

Teaching in Higher Education

	Category Host institution	Employer
2025/09/01 - Current	Assistant Professor (University Teacher)	Universidade de Coimbra Departamento de Engenharia Informática, Portugal

Grant

	Designation	Funders
2016/10/01 - 2018/02/28	XENON1T e XENONnT experiments participation PTDC/FIS-PAR/28557/2017 Research Fellow Universidade de Coimbra Departamento de Física, Portugal

Publications

Conference paper	Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues. "Siamese Autoencoder-Based Approach for Missing Data Imputation". 2023. 10.1007/978-3-031-35995-8_3 Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Mário A. T. Figueiredo; Pedro Henriques Abreu. "Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation". 2023. 10.1007/978-3-031-35995-8_34 Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues. "VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data". Paper presented in International Joint Conference on Neural Networks, 2020. Published • 10.1109/ijcnn48605.2020.9206615 Ricardo Cardoso Pereira; Joana Cristo Santos; José Pereira Amorim; Pedro Pereira Rodrigues; Pedro Henriques Abreu. "Missing Image Data Imputation using Variational Autoencoders with Weighted Loss". Paper presented in 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020. Published Ricardo Cardoso Pereira; Pedro Henriques Abreu; Evgheni Polisciuc; Penousal Machado. "A Data Visualization Approach for Intersection Analysis using AIS Data". Paper presented in 10th International Conference on Information Visualization Theory and Applications, 2019. Published • 10.5220/0007312802080215 Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu. "MNAR Imputation with Distributed Healthcare Data". Paper presented in 19th EPIA Conference on Artificial Intelligence, 2019. Published • 10.1007/978-3-030-30244-3_16
Journal article	Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Ana Carolina Lorena; Miriam Seoane Santos; Pedro Henriques Abreu. "Studying the robustness of data imputation methodologies against adversarial attacks". Computers & Security (2025): https://doi.org/10.1016/j.cose.2025.104574. 10.1016/j.cose.2025.104574 Mangussi, Arthur Dantas; Santos, Miriam Seoane; Lopes, Filipe Loyola; Pereira, Ricardo Cardoso; Lorena, Ana Carolina; Abreu, Pedro Henriques. "mdatagen: A python library for the artificial generation of missing data". Neurocomputing 625 (2025): 129478. https://doi.org/10.1016/j.neucom.2025.129478. 10.1016/j.neucom.2025.129478 Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Ana Carolina Lorena. "Assessing Adversarial Effects of Noise in Missing Data Imputation". (2025): https://doi.org/10.1007/978-3-031-79029-4_14. 10.1007/978-3-031-79029-4_14 Filipe Loyola Lopes; Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Henriques Abreu; Ana Carolina Lorena. "A Label Propagation Approach for Missing Data Imputation". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3559772. 10.1109/ACCESS.2025.3559772 Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues; Mário A.T. Figueiredo. "Imputation of data Missing Not at Random: Artificial generation and benchmark analysis". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2024.123654. 10.1016/j.eswa.2024.123654 Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira. "Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random". Journal of Computational Science 78 (2024): 102269. http://dx.doi.org/10.1016/j.jocs.2024.102269. 10.1016/j.jocs.2024.102269 Juan-Francisco Cabrera-Sánchez; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Esther-Lydia Silva-Ramírez. "A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis". IEEE Access (2024): https://doi.org/10.1109/ACCESS.2024.3490396. 10.1109/ACCESS.2024.3490396 Fabiana Clemente; Gonçalo Martins Ribeiro; Alexandre Quemy; Miriam Seoane Santos; Ricardo Cardoso Pereira; Alex Barros. "ydata-profiling: Accelerating data-centric AI with high-quality data". Neurocomputing (2023): https://doi.org/10.1016/j.neucom.2023.126585. 10.1016/j.neucom.2023.126585 Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues. "Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data". IEEE Journal of Biomedical and Health Informatics 26 8 (2022): 4218-4227. https://doi.org/10.1109/JBHI.2022.3172656. Published • 10.1109/JBHI.2022.3172656 Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu. "Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes". Journal of Artificial Intelligence Research 69 (2020): 1255-1285. https://doi.org/10.1613/jair.1.12312. Published • 10.1613/jair.1.12312 Miriam Seoane Santos; Ricardo Cardoso Pereira; Adriana Fonseca Costa; Jastin Pompeu Soares; João Santos; Pedro Henriques Abreu. "Generating Synthetic Missing Data: A Review by Missing Mechanism". IEEE Access 7 (2019): 11651-11667. http://dx.doi.org/10.1109/access.2019.2891360. Published • 10.1109/access.2019.2891360
Thesis / Dissertation	"Artificial Intelligence Strategies for Missing Data Imputation using Healthcare Data". PhD, Universidade de Coimbra Departamento de Engenharia Informática, 2023. Pereira, Ricardo Cardoso. "AIS Data Visualization applied to the identification of anomalous vessels' movements on the Portuguese maritime territory". Master, Universidade de Coimbra, 2018.