Ricardo Cerri

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Rodrigo C. BarrosDirector of Research at Teia Labs, Associate Professor at PUCRSVerified email at pucrs.br
Felipe Kenji NakanoPhD Student KU Leuven KULAKVerified email at kuleuven.be
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Celine Vensassociate professor, Katholieke Universiteit LeuvenVerified email at kuleuven.be
Freitas, Alex A.Professor of Computational Intelligence, University of KentVerified email at kent.ac.uk
Saulo Martiello MasteliniPhD Candidate, Universidade de São PauloVerified email at usp.br
Leander SchietgatResearch & Innovation Manager, Artificial Intelligence Lab, VUBVerified email at vub.be
Jônatas WehrmannAssociated Professor at PUC-Rio, Visiting Researcher at Meta AI, CTO of Teia LabsVerified email at puc-rio.br
Márcio BasgaluppInstituto de Ciência e Tecnologia (ICT) - UNIFESPVerified email at unifesp.br
Tomas HorvathELTE Eötvös Loránd University, Budapest, HungaryVerified email at inf.elte.hu
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Carlos Norberto FischerComputer Science - São Paulo State University (UNESP)Verified email at unesp.br
Yaochu JinA. v. Humboldt Professor for AI, Bielefeld University and Distinguished Chair, University of SurreyVerified email at uni-bielefeld.de
Claudia CararetoProfessora Titular de Evolução, Departamento de Biologia, UNESP, São José do Rio PretoVerified email at unesp.br
Pablo Andretta JaskowiakFederal University of Santa Catarina (UFSC)Verified email at ufsc.br
Gean Trindade PereiraPhD Candidate, University of São Paulo / La Rochelle UniversitéVerified email at usp.br
Gisele L. PappaComputer Science, Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
Tiago Silva da SilvaICT/UNIFESPVerified email at unifesp.br

Ricardo Cerri

Assistant Professor, Department of Computer Science, Federal University of São Carlos

Verified email at ufscar.br - Homepage

Machine Learning Bioinformatics Multi-Output Learning Data Science Data Streams


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Hierarchical multi-label classification networks J Wehrmann, R Cerri, R Barros International Conference on Machine Learning, 5075-5084, 2018	151	2018
Hierarchical multi-label classification using local neural networks R Cerri, RC Barros, AC De Carvalho Journal of Computer and System Sciences 80 (1), 39-56, 2014	116	2014
Reduction strategies for hierarchical multi-label classification in protein function prediction R Cerri, RC Barros, AC PLF de Carvalho, Y Jin BMC bioinformatics 17 (1), 1-24, 2016	71	2016
Hyper-parameter tuning of a decision tree induction algorithm RG Mantovani, T Horváth, R Cerri, J Vanschoren, AC de Carvalho 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 37-42, 2016	71	2016
miRNApath: a database of miRNAs, target genes and metabolic pathways AO Chiromatzo, TYK Oliveira, G Pereira, AY Costa, CAE Montesco, ... Genetics and Molecular Research, 859-865, 2007	55	2007
A bottom-up oblique decision tree induction algorithm RC Barros, R Cerri, PA Jaskowiak, AC De Carvalho 2011 11th International Conference on Intelligent Systems Design and …, 2011	50	2011
Comparing methods for multilabel classification of proteins using machine learning techniques R Cerri, RRO da Silva, AC de Carvalho Brazilian Symposium on Bioinformatics, 109-120, 2009	39	2009
Applying multi-label techniques in emotion identification of short texts AMG Almeida, R Cerri, EC Paraiso, RG Mantovani, SB Junior Neurocomputing 320, 35-46, 2018	38	2018
A genetic algorithm for hierarchical multi-label classification R Cerri, RC Barros, AC de Carvalho Proceedings of the 27th annual ACM symposium on applied computing, 250-255, 2012	36	2012
Hierarchical classification of gene ontology-based protein functions with neural networks R Cerri, RC Barros, AC de Carvalho 2015 international joint conference on neural networks (IJCNN), 1-8, 2015	33	2015
Top-down strategies for hierarchical classification of transposable elements with neural networks FK Nakano, WJ Pinto, GL Pappa, R Cerri 2017 International Joint Conference on Neural Networks (IJCNN), 2539-2546, 2017	32	2017
An extensive evaluation of decision tree–based hierarchical multilabel classification methods and performance measures R Cerri, GL Pappa, ACPLF Carvalho, AA Freitas Computational Intelligence 31 (1), 1-46, 2015	30	2015
Hierarchical multi-label classification with chained neural networks J Wehrmann, RC Barros, SN Dôres, R Cerri Proceedings of the Symposium on Applied Computing, 790-795, 2017	24	2017
Multi-output tree chaining: An interpretative modelling and lightweight multi-target approach SM Mastelini, VGT da Costa, EJ Santana, FK Nakano, RC Guido, R Cerri, ... Journal of Signal Processing Systems 91 (2), 191-215, 2019	23	2019
A framework for bottom-up induction of oblique decision trees RC Barros, PA Jaskowiak, R Cerri, AC de Carvalho Neurocomputing 135, 3-12, 2014	23	2014
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks R Cerri, RC Barros, AC de Carvalho 2011 11th International Conference on Intelligent Systems Design and …, 2011	21	2011
DSTARS: a multi-target deep structure for tracking asynchronous regressor stacking SM Mastelini, EJ Santana, R Cerri, S Barbon Jr Applied Soft Computing 91, 106215, 2020	20	2020
A machine learning based framework to identify and classify long terminal repeat retrotransposons L Schietgat, C Vens, R Cerri, CN Fischer, E Costa, J Ramon, ... PLOS Computational Biology 14 (4), e1006097, 2018	19	2018
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification R Cerri, ACPLF de Carvalho, AA Freitas Intelligent Data Analysis 15 (6), 861-887, 2011	19	2011
Inducing hierarchical multi-label classification rules with genetic algorithms R Cerri, MP Basgalupp, RC Barros, AC de Carvalho Applied Soft Computing 77, 584-604, 2019	17	2019

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