Edesio Alcobaça
Edesio Alcobaça
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Title
Cited by
Cited by
Year
Explainable machine learning algorithms for predicting glass transition temperatures
E Alcobaca, SM Mastelini, T Botari, BA Pimentel, DR Cassar, ...
Acta Materialia 188, 92-100, 2020
272020
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers
RG Mantovani, ALD Rossi, E Alcobaca, J Vanschoren, AC de Carvalho
Information Sciences 501, 193-221, 2019
21*2019
MFE: Towards reproducible meta-feature extraction.
E Alcobaça, F Siqueira, A Rivolli, LPF Garcia, JT Oliva, AC de Carvalho
J. Mach. Learn. Res. 21, 111:1-111:5, 2020
182020
Dimensionality reduction for the algorithm recommendation problem
E Alcobaça, RG Mantovani, ALD Rossi, AC De Carvalho
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 318-323, 2018
32018
Predicting and interpreting oxide glass properties by machine learning using large datasets
DR Cassar, SM Mastelini, T Botari, E Alcobaça, AC de Carvalho, ...
Ceramics International, 2021
22021
Predicting thermal, mechanical, and optical properties of oxide glasses by machine learning using large datasets
DR Cassar, SM Mastelini, T Botari, E Alcobaça, AC de Carvalho, ...
arXiv preprint arXiv:2009.03194, 2020
22020
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters
RG Mantovani, ALD Rossi, E Alcobaça, JC Gertrudes, SB Junior, ...
arXiv preprint arXiv:2008.00025, 2020
12020
Boosting meta-learning with simulated data complexity measures
LPF Garcia, A Rivolli, E Alcoba, AC Lorena, AC de Carvalho
Intelligent Data Analysis 24 (5), 1011-1028, 2020
12020
Transfer learning for algorithm recommendation
GT Pereira, M Santos, E Alcobaça, R Mantovani, A Carvalho
arXiv preprint arXiv:1910.07012, 2019
12019
Machine learning unveils composition-property relationships in chalcogenide glasses
SM Mastelini, DR Cassar, E Alcobaça, T Botari, AC de Carvalho, ...
arXiv preprint arXiv:2106.07749, 2021
2021
SUPPLEMENTARY MATERIAL TO" EXPLAINABLE MACHINE LEARNING ALGORITHMS TO PREDICT GLASS TRANSITION TEMPERATURE
E Alcobaça, SM Mastelini, T Botari, BA Pimentel
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Articles 1–11