| Deep learning for biological image classification C Affonso, ALD Rossi, FHA Vieira, ACP de Leon Ferreira Expert systems with applications 85, 114-122, 2017 | 293 | 2017 |
| Combining meta-learning and search techniques to select parameters for support vector machines TAF Gomes, RBC Prudêncio, C Soares, ALD Rossi, A Carvalho Neurocomputing 75 (1), 3-13, 2012 | 169 | 2012 |
| Effectiveness of random search in SVM hyper-parameter tuning RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC De Carvalho 2015 international joint conference on neural networks (IJCNN), 1-8, 2015 | 158 | 2015 |
| MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data ALD Rossi, ACP de Leon Ferreira, C Soares, BF De Souza Neurocomputing 127, 52-64, 2014 | 93 | 2014 |
| To tune or not to tune: recommending when to adjust SVM hyper-parameters via meta-learning RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC Carvalho 2015 International joint conference on neural networks (IJCNN), 1-8, 2015 | 76 | 2015 |
| A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers RG Mantovani, ALD Rossi, E Alcobaça, J Vanschoren, AC de Carvalho Information Sciences 501, 193-221, 2019 | 73 | 2019 |
| Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms RG Mantovani, T Horváth, ALD Rossi, R Cerri, SB Junior, J Vanschoren, ... arXiv preprint arXiv:1812.02207, 2018 | 61 | 2018 |
| Bio-inspired optimization techniques for svm parameter tuning ALD Rossi, AC de Carvalho 2008 10th Brazilian symposium on neural networks, 57-62, 2008 | 23 | 2008 |
| Combining meta-learning and search techniques to svm parameter selection TAF Gomes, RBC Prudȇncio, C Soares, ALD Rossi, A Carvalho 2010 Eleventh Brazilian Symposium on Neural Networks, 79-84, 2010 | 21 | 2010 |
| N-BEATS-RNN: Deep learning for time series forecasting A Sbrana, ALD Rossi, MC Naldi 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 19 | 2020 |
| Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. RG Mantovani, ALD Rossi, J Vanschoren, AC de Carvalho MetaSel@ PKDD/ECML, 80-92, 2015 | 19 | 2015 |
| Meta-learning for periodic algorithm selection in time-changing data ALD Rossi, AC Carvalho, C Soares 2012 Brazilian Symposium on Neural Networks, 7-12, 2012 | 19 | 2012 |
| Predicting execution time of machine learning tasks using metalearning R Priya, BF de Souza, ALD Rossi, AC de Carvalho 2011 World Congress on Information and Communication Technologies, 1193-1198, 2011 | 17 | 2011 |
| de Carvalho ACPLF RG Mantovani, ALD Rossi, E Alcobaça, J Vanschoren A meta-learning recommender system for hyperparameter tuning: Predicting …, 2019 | 15 | 2019 |
| A guidance of data stream characterization for meta-learning ALD Rossi, BF De Souza, C Soares, A de Leon Ferreira de Carvalho, ... Intelligent Data Analysis 21 (4), 1015-1035, 2017 | 15 | 2017 |
| Using genetic algorithms to improve prediction of execution times of ML tasks R Priya, BF de Souza, ALD Rossi, AC de Carvalho Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012 | 15 | 2012 |
| Edesio Alcobaça, Joaquin Vanschoren, and André CPLF de Carvalho. A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves svm classifiers RG Mantovani, ALD Rossi Information Sciences 501, 193-221, 2019 | 13 | 2019 |
| Micro-MetaStream: Algorithm selection for time-changing data ALD Rossi, C Soares, BF de Souza, ACP de Leon Ferreira Information Sciences 565, 262-277, 2021 | 12 | 2021 |
| Biological actions, electrical conductance and silicon-containing microparticles of arsenicum album prepared in plastic and glass vials LC Dalboni, C de Paula Coelho, RRP Pedro, MS Correia, FR de Santana, ... Homeopathy 108 (01), 012-023, 2019 | 10 | 2019 |
| Protein classification using artificial neural networks with different protein encoding methods ALD Rossi, MA de Oliveira Camargo-Brunetto Seventh International Conference on Intelligent Systems Design and …, 2007 | 10 | 2007 |
