Explainable Machine Learning for Breast Cancer Diagnosis T Brito-Sarracino, MR dos Santos, EF Antunes, IB de Andrade Santos, ... 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 681-686, 2019 | 15 | 2019 |
Seasonal-Trend decomposition based on Loess+ Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series GD Silvestre, MR dos Santos, AC de Carvalho 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 5 | 2021 |
Machine Learning to Estimate the Amount of Training to Learn a Motor Skill MR Santos, EDF Souza, MBF Carvalho, ACM Oliveira, A de Almeida Neto, ... International Conference on Human-Computer Interaction, 198-209, 2019 | 4 | 2019 |
On-the-fly Data Augmentation for Forecasting with Deep Learning V Cerqueira, M Santos, Y Baghoussi, C Soares arXiv preprint arXiv:2404.16918, 2024 | 3 | 2024 |
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market MR Santos, DDC Braz, AC Carvalho, R Tinós, MBS Paula, G Doretto, ... 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2022 | 3 | 2022 |
Transfer Learning for Algorithm Recommendation GT Pereira, M Santos, E Alcobaça, R Mantovani, A Carvalho arXiv preprint arXiv:1910.07012, 2019 | 2 | 2019 |
Multi-source data ensemble for energy price trend forecasting DD de Castilho Braz, MR dos Santos, MBS de Paula, D da Silva Filho, ... Engineering Applications of Artificial Intelligence 133, 108125, 2024 | 1 | 2024 |
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets D Castilho, MR Santos, R Tinós, AC Carvalho, MBS Paula, L Ladeira, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 1 | 2023 |
Market movement prediction algorithm selection by metalearning AVPM Bandeira, GM Ferracioli, MR Santos, ACPLF Carvalho ANAIS DO X SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING DATA …, 2022 | 1 | 2022 |
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem GT Pereira, MR Santos, ACPLF de Carvalho arXiv preprint arXiv:2106.03954, 2021 | 1 | 2021 |
Motor Learning and Machine Learning: Predicting the Amount of Sessions to Learn the Tracing Task EDF Souza, MR Santos, LCC Silva, ACM da Oliveira, A de Almeida Neto, ... Communications in Computer and Information Science 1068, 2019 | 1 | 2019 |
METAFORE: algorithm selection for decomposition-based forecasting combinations M Santos, A Carvalho, C Soares International Journal of Data Science and Analytics, 1-14, 2024 | | 2024 |
How to balance financial returns with metalearning for trend prediction AVPM Bandeira, GM Ferracioli, MR Santos, ACPLF Carvalho Journal of Information and Data Management-JIDM 15 (1), 142-151, 2024 | | 2024 |
Customer Segmentation in the Brazilian Free Energy Market by Machine Learning MR Santos, SM Mastelini, MBS Paula, E Guarnier, D Silva, MECM Santos, ... 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | | 2023 |
tsMorph: generation of semi-synthetic time series to understand algorithm performance M Santos, A de Carvalho, C Soares arXiv preprint arXiv:2312.01344, 2023 | | 2023 |
Algorithm selection and performance understanding for time series forecasting MR Santos Universidade de São Paulo, 2023 | | 2023 |
Hybrid Forecasting Combinations by Feature Based Metalearning M Santo, AC de Carvalho, C Soares Book of Abstracts, 214, 2022 | | 2022 |
Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task MR Santos, LR Mundim, AC Carvalho International Conference on Hybrid Artificial Intelligence Systems, 397-409, 2020 | | 2020 |
Transfer Learning for Algorithm Recommendation G Trindade Pereira, M dos Santos, E Alcobaça, R Mantovani, A Carvalho arXiv e-prints, arXiv: 1910.07012, 2019 | | 2019 |
Motor Learning and Machine Learning: Predicting the Amount of Sessions to Learn the Tracing Task ED Ferreira de Souza, MR dos Santos, LC Costa da Silva, ... COMPUTATIONAL NEUROSCIENCE 1068, 10, 2019 | | 2019 |