Moisés Santos

According to our database, Moisés Santos authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation.

Aníbal Silva, Moisés Santos, André Restivo, Carlos Soares

CoRR, January, 2026

Grasynda: Graph-Based Synthetic Time Series Generation.

Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira

Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

2025

METAFORE: algorithm selection for decomposition-based forecasting combinations.

Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares

Int. J. Data Sci. Anal., September, 2025

A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks.

Francisco dos Santos Viana, Bianca Valéria L. Pereira, Moisés Santos, Carlos Soares, Areolino de Almeida Neto

Proceedings of the Progress in Artificial Intelligence, 2025

Online Data Augmentation for Forecasting with Deep Learning.

Vítor Cerqueira, Moisés Santos, Luis Roque, Yassine Baghoussi, Carlos Soares

Proceedings of the Progress in Artificial Intelligence, 2025

tsMIST: Model Sensitivity Analysis with Time Series Morphing.

Antónia Brito, Moisés Santos, Duarte Folgado, Carlos Soares

Proceedings of the Discovery Science - 28th International Conference, 2025

2024

Tabular data generation with tensor contraction layers and transformers.

Aníbal Silva, André Restivo, Moisés Santos, Carlos Soares

CoRR, 2024

Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary.

Inês Gomes, Luís F. Teixeira, Jan N. van Rijn, Carlos Soares, André Restivo, Luís Cunha, Moisés Santos

CoRR, 2024

Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation.

Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024