Edesio Alcobaça

Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures

Edesio Alcobaça, Saulo Martiello Mastelini, Tiago Botari et al. · Acta Materialia · 2020 · 103 citations

Artificial Intelligence, Engineering, Machine Learning +8

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça et al. · Information Sciences · 2019 · 79 citations · Full text

Artificial Intelligence, Hyperparameter Estimation, Engineering +13

MFE: Towards reproducible meta-feature extraction

Edesio Alcobaça, Felipe Siqueira, Adriano Rívolli et al. · Journal of Machine Learning Research · 2020 · 70 citations

Image Analysis, Machine Learning, Data Science +8

Predicting and interpreting oxide glass properties by machine learning using large datasets

Daniel R. Cassar, Saulo Martiello Mastelini, Tiago Botari et al. · Ceramics International · 2021 · 62 citations · Full text

Engineering, Machine Learning, Data Science +13

Machine learning unveils composition-property relationships in chalcogenide glasses

Saulo Martiello Mastelini, Daniel R. Cassar, Edesio Alcobaça et al. · Acta Materialia · 2022 · 39 citations

Materials Science, Engineering, Machine Learning +3