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ORCIDAndré Luis Debiaso Rossi
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2020 – today
- 2024
[j10]Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren
, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024)- 2023
- [c18]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) 2023: 323-337 - [c17]Rubens Marques Chaves, André Luis Debiaso Rossi, Luís Paulo Faina Garcia:
Financial Distress Prediction in an Imbalanced Data Stream Environment. HAIS 2023: 168-179 - [i5]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification. CoRR abs/2310.13490 (2023) - 2022
- [j9]Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 276-286 (2022) - [i4]Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa:
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR abs/2211.17045 (2022) - 2021
- [j8]André Luis Debiaso Rossi, Carlos Soares, Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho:
Micro-MetaStream: Algorithm selection for time-changing data. Inf. Sci. 565: 262-277 (2021) - [c16]Shamim Al Mamun, Mohammad Eusuf Daud, Mufti Mahmud, M. Shamim Kaiser, André Luis Debiaso Rossi:
ALO: AI for Least Observed People. AII 2021: 306-317 - [c15]Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa:
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI 2021: 1-8 - [i3]Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR abs/2101.06741 (2021) - 2020
- [c14]Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC 2020: 1-8 - [c13]Attilio Sbrana, André Luis Debiaso Rossi, Murilo Coelho Naldi:
N-BEATS-RNN: deep learning for time series forecasting. ICMLA 2020: 765-768 - [c12]Jáder M. C. de Sá, André L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia:
Algorithm Recommendation for Data Streams. ICPR 2020: 6073-6080 - [i2]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020)
2010 – 2019
- 2019
- [j7]Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. Inf. Sci. 501: 193-221 (2019) - [j6]Angelo Brayner, Maristela Holanda, André L. D. Rossi:
Frontmatter. J. Inf. Data Manag. 10(3): 116- (2019) - [i1]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. CoRR abs/1906.01684 (2019) - 2018
- [c11]Edesio Alcobaça, Rafael Gomes Mantovani, André L. D. Rossi, André C. P. L. F. de Carvalho:
Dimensionality Reduction for the Algorithm Recommendation Problem. BRACIS 2018: 318-323 - 2017
- [j5]Carlos Affonso, André Luis Debiaso Rossi, Fábio Henrique Antunes Vieira, André Carlos Ponce de Leon Ferreira de Carvalho:
Deep learning for biological image classification. Expert Syst. Appl. 85: 114-122 (2017) - [j4]André Luis Debiaso Rossi, Bruno Feres de Souza, Carlos Soares, André Carlos Ponce de Leon Ferreira de Carvalho:
A guidance of data stream characterization for meta-learning. Intell. Data Anal. 21(4): 1015-1035 (2017) - 2015
- [c10]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. IJCNN 2015: 1-8 - [c9]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
Effectiveness of Random Search in SVM hyper-parameter tuning. IJCNN 2015: 1-8 - [c8]Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. MetaSel@PKDD/ECML 2015: 80-92 - 2014
- [j3]André Luis Debiaso Rossi, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Bruno Feres de Souza:
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data. Neurocomputing 127: 52-64 (2014) - 2013
- [b1]André Luis Debiaso Rossi:
Metalearning for algorithm selection in data strams. University of São Paulo, Brazil, 2013 - [j2]Rattan Priya, Bruno Feres de Souza, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Predicting execution time of machine learning tasks for scheduling. Int. J. Hybrid Intell. Syst. 10(1): 23-32 (2013) - 2012
- [j1]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho:
Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75(1): 3-13 (2012) - [c7]Rattan Priya, Bruno Feres de Souza, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks. HAIS (1) 2012: 196-207 - [c6]André Luis Debiaso Rossi, André C. P. L. F. de Carvalho, Carlos Soares:
Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. SBRN 2012: 7-12 - 2010
- [c5]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN 2010: 79-84
2000 – 2009
- 2008
- [c4]André L. D. Rossi, André C. P. L. F. de Carvalho, Carlos Soares:
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. HIS 2008: 435-440 - [c3]André L. D. Rossi, Carlos Soares, André C. P. L. F. de Carvalho:
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. ICONIP (2) 2008: 252-259 - [c2]André L. D. Rossi, Luis Debiaso, André Carlos Ponce de Leon Ferreira de Carvalho:
Bio-inspired Optimization Techniques for SVM Parameter Tuning. SBRN 2008: 57-62 - 2007
- [c1]André Luis Debiaso Rossi, Maria Angelica de Oliveira Camargo-Brunetto:
Protein Classification Using Artificial Neural Networks with Different Protein Encoding Methods. ISDA 2007: 169-176
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
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