Ricardo Cerri 个人学术档案

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引用	1828	1426
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Rodrigo Coelho BarrosDirector of Research at Teia Labs, Associate Professor at PUCRS在 pucrs.br 的电子邮件经过验证
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of Apucarana在 utfpr.edu.br 的电子邮件经过验证
Felipe Kenji NakanoPhD Student KU Leuven KULAK在 kuleuven.be 的电子邮件经过验证
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and Architecture在 dia.units.it 的电子邮件经过验证
Celine Vensprofessor, Katholieke Universiteit Leuven在 kuleuven.be 的电子邮件经过验证
Márcio P. BasgaluppAssociate Professor at UNIFESP在 unifesp.br 的电子邮件经过验证
Freitas, Alex A.Professor of Computational Intelligence, University of Kent在 kent.ac.uk 的电子邮件经过验证
Leander SchietgatResearch & Innovation Manager, Artificial Intelligence Lab, VUB在 vub.be 的电子邮件经过验证
Saulo Martiello MasteliniPh.D., Universidade de São Paulo在 alumni.usp.br 的电子邮件经过验证
Jônatas WehrmannTeia Labs CTO在 teialabs.com 的电子邮件经过验证
Tomas HorvathEdinburgh Napier University, Pavol Jozef Šafárik University在 upjs.sk 的电子邮件经过验证
Joaquin VanschorenEindhoven University of Technology在 tue.nl 的电子邮件经过验证
Carlos Norberto FischerComputer Science - São Paulo State University (UNESP)在 unesp.br 的电子邮件经过验证
Yaochu JinChair Professor for AI, MAE FIEEE, Westlake University, China; University of Surrey, UK在 westlake.edu.cn 的电子邮件经过验证
Claudia CararetoProfessora Titular de Evolução, Departamento de Biologia, UNESP, São José do Rio Preto在 unesp.br 的电子邮件经过验证
Gean Trindade PereiraPhD Candidate, University of São Paulo / La Rochelle Université在 usp.br 的电子邮件经过验证
Pablo Andretta JaskowiakFederal University of Santa Catarina (UFSC)在 ufsc.br 的电子邮件经过验证
Gisele L. PappaComputer Science, Universidade Federal de Minas Gerais在 dcc.ufmg.br 的电子邮件经过验证
Tiago Silva da SilvaICT-UNIFESP在 unifesp.br 的电子邮件经过验证

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Ricardo Cerri

Assistant Professor, Institute of Mathematics and Computer Science, University of São Paulo

在 icmc.usp.br 的电子邮件经过验证 - 首页

Machine Learning Bioinformatics Multi-Output Learning Data Science Data Streams


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Hierarchical multi-label classification networks J Wehrmann, R Cerri, R Barros International conference on machine learning, 5075-5084, 2018	314	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	170	2014
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	132	2016
Reduction strategies for hierarchical multi-label classification in protein function prediction R Cerri, RC Barros, AC PLF de Carvalho, Y Jin BMC bioinformatics 17, 1-24, 2016	118	2016
An empirical study on hyperparameter tuning of decision trees RG Mantovani, T Horváth, R Cerri, SB Junior, J Vanschoren, ... arXiv preprint arXiv:1812.02207, 2018	64	2018
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	62	2018
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	58	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	51	2011
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	44	2017
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	43	2012
Comparing methods for multilabel classification of proteins using machine learning techniques R Cerri, RRO da Silva, AC de Carvalho Advances in Bioinformatics and Computational Biology: 4th Brazilian …, 2009	43	2009
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	37	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	36	2017
Active learning for hierarchical multi-label classification FK Nakano, R Cerri, C Vens Data Mining and Knowledge Discovery 34 (5), 1496-1530, 2020	35	2020
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	34	2015
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	34	2011
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, 191-215, 2019	32	2019
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	29	2018
A framework for bottom-up induction of oblique decision trees RC Barros, PA Jaskowiak, R Cerri, AC de Carvalho Neurocomputing 135, 3-12, 2014	28	2014
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	27	2020

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