Seuraa
Everton Alvares Cherman
Everton Alvares Cherman
Vahvistettu sähköpostiosoite verkkotunnuksessa icmc.usp.br
Nimike
Viittaukset
Viittaukset
Vuosi
A comparison of multi-label feature selection methods using the problem transformation approach
N Spolaôr, EA Cherman, MC Monard, HD Lee
Electronic notes in theoretical computer science 292, 135-151, 2013
2732013
ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard, HD Lee
2013 Brazilian Conference on Intelligent Systems, 6-11, 2013
1772013
Multi-label problem transformation methods: a case study
EA Cherman, MC Monard, J Metz
CLEI Electronic Journal 14 (1), 4-4, 2011
1202011
Incorporating label dependency into the binary relevance framework for multi-label classification
E Alvares-Cherman, J Metz, MC Monard
Expert Systems with Applications 39 (2), 1647-1655, 2012
1052012
A framework to generate synthetic multi-label datasets
JT Tomás, N Spolaôr, EA Cherman, MC Monard
Electronic Notes in Theoretical Computer Science 302, 155-176, 2014
612014
Filter approach feature selection methods to support multi-label learning based on relieff and information gain
N Spolaôr, EA Cherman, MC Monard, HD Lee
Advances in Artificial Intelligence-SBIA 2012: 21th Brazilian Symposium on …, 2012
512012
DyS: A framework for mixture models in quantification
A Maletzke, D dos Reis, E Cherman, G Batista
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4552-4560, 2019
342019
A simple approach to incorporate label dependency in multi-label classification
E Alvares Cherman, J Metz, MC Monard
Advances in Soft Computing: 9th Mexican International Conference on …, 2010
302010
Using ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard
Conferencia Latinoamericana de Informática, 960-975, 2011
28*2011
Lazy multi-label learning algorithms based on mutuality strategies
EA Cherman, N Spolaôr, J Valverde-Rebaza, MC Monard
Journal of Intelligent & Robotic Systems 80, 261-276, 2015
262015
On the estimation of predictive evaluation measure baselines for multi-label learning
J Metz, LFD de Abreu, EA Cherman, MC Monard
Advances in Artificial Intelligence–IBERAMIA 2012: 13th Ibero-American …, 2012
232012
IMAGE PROCESSING IN MOBILE DEVICES TO CLASSIFY PRESSURE INJURIES.
C Mayara Tibes, E Alvares Cherman, V Mourão Alves de Souza, ...
Journal of Nursing UFPE/Revista de Enfermagem UFPE 10 (11), 2016
18*2016
One-class quantification
D dos Reis, A Maletzke, E Cherman, G Batista
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
172019
Multi-label active learning: key issues and a novel query strategy
EA Cherman, Y Papanikolaou, G Tsoumakas, MC Monard
Evolving Systems 10, 63-78, 2019
162019
Construçao de uma Representaçao Atributo-valor para Extraçao de Conhecimento a partir de Informaçoes Semi-estruturadas de Laudos Médicos
DF Honorato, FC Wu, EA Cherman, HD Lee, MC Monard
Memorias, 2007
122007
Websensors analytics: Learning to sense the real world using web news events
RM Marcacini, RG Rossi, BM Nogueira, LV Martins, EA Cherman, ...
Anais Estendidos do XXIII Simpósio Brasileiro de Sistemas Multimídia e Web …, 2017
112017
Towards automatic evaluation of asphalt irregularity using smartphone’s sensors
VMA Souza, EA Cherman, RG Rossi, RA Souza
Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA …, 2017
112017
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems
ME Cintra, MC Monard, EA Cherman, H de Arruda Camargo
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 211-216, 2011
112011
On the need of class ratio insensitive drift tests for data streams
A Maletzke, D Reis, E Cherman, G Batista
Second international workshop on learning with imbalanced domains: theory …, 2018
102018
A systematic review on experimental multi-label learning
N Spolaôr, EA Cherman, J Metz, MC Monard
102013
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Artikkelit 1–20