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Alexandre Plastino
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Categorizing feature selection methods for multi-label classification
RB Pereira, A Plastino, B Zadrozny, LHC Merschmann
Artificial intelligence review 49, 57-78, 2018
2122018
Correlation analysis of performance measures for multi-label classification
RB Pereira, A Plastino, B Zadrozny, LHC Merschmann
Information Processing & Management 54 (3), 359-369, 2018
1592018
A genetic algorithm for optimizing the label ordering in multi-label classifier chains
EC Gonçalves, A Plastino, AA Freitas
2013 IEEE 25th international conference on tools with artificial …, 2013
1302013
Hybridization of GRASP metaheuristic with data mining techniques
MH Ribeiro, A Plastino, SL Martins
Journal of Mathematical Modelling and Algorithms 5 (1), 23-41, 2006
892006
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
J Carvalho, A Plastino
Artificial Intelligence Review 54, 1887-1936, 2021
772021
Acceptance factors of pull requests in open-source projects
DM Soares, ML de Lima Júnior, L Murta, A Plastino
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1541-1546, 2015
732015
New heuristics for the maximum diversity problem
GC Silva, MRQ De Andrade, LS Ochi, SL Martins, A Plastino
Journal of Heuristics 13, 315-336, 2007
732007
Applications of the DM‐GRASP heuristic: a survey
LF Santos, SL Martins, A Plastino
International Transactions in Operational Research 15 (4), 387-416, 2008
622008
A hybrid GRASP with data mining for the maximum diversity problem
LF Santos, MH Ribeiro, A Plastino, SL Martins
Hybrid Metaheuristics: Second International Workshop, HM 2005, Barcelona …, 2005
582005
A biased random-key genetic algorithm for the maximum quasi-clique problem
BQ Pinto, CC Ribeiro, I Rosseti, A Plastino
European Journal of Operational Research 271 (3), 849-865, 2018
462018
Information gain feature selection for multi-label classification.
RB Pereira, AP Carvalho, B Zadrozny, LHC Merschmann
452015
A hybrid data mining GRASP with path-relinking
H Barbalho, I Rosseti, SL Martins, A Plastino
Computers & Operations Research 40 (12), 3159-3173, 2013
442013
A hybrid data mining metaheuristic for the p‐median problem
A Plastino, R Fuchshuber, SL Martins, AA Freitas, S Salhi
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (3 …, 2011
422011
GRASP for the maximum diversity problem
PMF de Andrade, A Plastino, LS Ochi, SL Martins
5th Metaheuristics International Conference (MIC 2003), 2003
42*2003
What factors influence the reviewer assignment to pull requests?
DM Soares, ML de Lima Júnior, A Plastino, L Murta
Information and Software Technology 98, 32-43, 2018
372018
Automatic classification of carbonate rocks permeability from 1H NMR relaxation data
PN da Silva, EC Gonçalves, EH Rios, A Muhammad, A Moss, T Pritchard, ...
Expert Systems with Applications 42 (9), 4299-4309, 2015
342015
Distinct chains for different instances: An effective strategy for multi-label classifier chains
PN da Silva, EC Gonçalves, A Plastino, AA Freitas
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
342014
Prediction of carbonate rock type from NMR responses using data mining techniques
EC Gonçalves, PN da Silva, CS Silveira, G Carneiro, AB Domingues, ...
Journal of Applied Geophysics 140, 93-101, 2017
322017
Simpler is better: a novel genetic algorithm to induce compact multi-label chain classifiers
EC Gonçalves, A Plastino, AA Freitas
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
322015
Automatic assignment of integrators to pull requests: The importance of selecting appropriate attributes
ML de Lima Júnior, DM Soares, A Plastino, L Murta
Journal of Systems and Software 144, 181-196, 2018
312018
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