MNAR Imputation with Distributed Healthcare Data. - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (EPIA (2), 2019)

A Data Visualization Approach for Intersection Analysis using AIS Data. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Evgheni Polisciuc; Penousal Machado (VISIGRAPP (3: IVAPP), 2019)

Generating Synthetic Missing Data: A Review by Missing Mechanism. - Miriam Seoane Santos; Ricardo Cardoso Pereira; Adriana Fonseca Costa; Jastin Pompeu Soares; João A. M. Santos; Pedro Henriques Abreu (IEEE Access, 2019)

Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. - Ricardo Cardoso Pereira; Joana Cristo Santos; José Pereira Amorim; Pedro Pereira Rodrigues; Pedro Henriques Abreu (ESANN, 2020)

VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (IJCNN, 2020)

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (J. Artif. Intell. Res., 2020)

Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (IEEE J. Biomed. Health Informatics, 2022)

Siamese Autoencoder-Based Approach for Missing Data Imputation. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (ICCS (1), 2023)

Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Mário A. T. Figueiredo; Pedro Henriques Abreu (ICCS (1), 2023)

ydata-profiling: Accelerating data-centric AI with high-quality data. - Fabiana Clemente; Gonçalo Martins Ribeiro; Alexandre Quemy; Miriam Seoane Santos; Ricardo Cardoso Pereira; Alex Barros (Neurocomputing, 2023)

Assessing Adversarial Effects of Noise in Missing Data Imputation. - Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Ana Carolina Lorena (BRACIS (1), 2024)

A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis. - Juan-Francisco Cabrera-Sánchez; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Esther-Lydia Silva-Ramírez (IEEE Access, 2024)

Imputation of data Missing Not at Random: Artificial generation and benchmark analysis. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues; Mário A. T. Figueiredo (Expert Syst. Appl., 2024)

Call for Papers: Data Generation in Healthcare Environments. - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Irina S. Moreira; Pedro Henriques Abreu (J. Biomed. Informatics, 2024)

Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (J. Comput. Sci., 2024)

A Label Propagation Approach for Missing Data Imputation. - Filipe Loyola Lopes; Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Henriques Abreu; Ana Carolina Lorena (IEEE Access, 2025)

Studying the robustness of data imputation methodologies against adversarial attacks. - Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Ana Carolina Lorena; Miriam Seoane Santos; Pedro Henriques Abreu (Comput. Secur., 2025)

mdatagen: A python library for the artificial generation of missing data. - Arthur Dantas Mangussi; Miriam Seoane Santos; Filipe Loyola Lopes; Ricardo Cardoso Pereira; Ana Carolina Lorena; Pedro Henriques Abreu (Neurocomputing, 2025)