Ricardo Cardoso Pereira

According to our database, Ricardo Cardoso Pereira authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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

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

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

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, October, 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

Proceedings of the Computational Science - ICCS 2023, 2023

Siamese Autoencoder-Based Approach for Missing Data Imputation.

Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues

Proceedings of the Computational Science - ICCS 2023, 2023

2022

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

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

VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data.

Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

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

A Data Visualization Approach for Intersection Analysis using AIS Data.

Ricardo Cardoso Pereira, Pedro Henriques Abreu, Evgheni Polisciuc, Penousal Machado

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

MNAR Imputation with Distributed Healthcare Data.

Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu

Proceedings of the Progress in Artificial Intelligence, 2019