Ricardo Cardoso Pereira

19 papers B 2Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms.
CoRR
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2025 J jnl
A Label Propagation Approach for Missing Data Imputation.
IEEE Access
Filipe Loyola Lopes, Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Henriques Abreu, Ana Carolina Lorena
2025 J jnl
Studying the robustness of data imputation methodologies against adversarial attacks.
Comput. Secur.
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
mdatagen: A python library for the artificial generation of missing data.
Neurocomputing
Arthur Dantas Mangussi, Miriam Seoane Santos, Filipe Loyola Lopes, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2024 J jnl
A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis.
IEEE Access
Juan-Francisco Cabrera-Sánchez, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Esther-Lydia Silva-Ramírez
2024 — conf
Assessing Adversarial Effects of Noise in Missing Data Imputation.
BRACIS (1)
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Ana Carolina Lorena
2024 J jnl
Call for Papers: Data Generation in Healthcare Environments.
J. Biomed. Informatics
Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Irina S. Moreira, Pedro Henriques Abreu
2024 J jnl
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis.
Expert Syst. Appl.
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo
2024 J jnl
Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random.
J. Comput. Sci.
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2023 — conf
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation.
ICCS (1)
Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Mário A. T. Figueiredo, Pedro Henriques Abreu
2023 — conf
Siamese Autoencoder-Based Approach for Missing Data Imputation.
ICCS (1)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2023 J jnl
ydata-profiling: Accelerating data-centric AI with high-quality data.
Neurocomputing
Fabiana Clemente, Gonçalo Martins Ribeiro, Alexandre Quemy, Miriam Seoane Santos, Ricardo Cardoso Pereira, Alex Barros
2022 J jnl
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data.
IEEE J. Biomed. Health Informatics
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2020 B conf
Missing Image Data Imputation using Variational Autoencoders with Weighted Loss.
ESANN
Ricardo Cardoso Pereira, Joana Cristo Santos, José Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2020 J jnl
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.
J. Artif. Intell. Res.
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2020 B conf
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data.
IJCNN
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2019 — conf
A Data Visualization Approach for Intersection Analysis using AIS Data.
VISIGRAPP (3: IVAPP)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Evgheni Polisciuc, Penousal Machado
2019 J jnl
Generating Synthetic Missing Data: A Review by Missing Mechanism.
IEEE Access
Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu
2019 — conf
MNAR Imputation with Distributed Healthcare Data.
EPIA (2)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu