Ricardo M. Marcacini
Ricardo M. Marcacini
Institute of Mathematics and Computer Sciences (ICMC) - University of São Paulo (USP)
Dirección de correo verificada de icmc.usp.br
TítuloCitado porAño
Benchmarking text collections for classification and clustering tasks.
RG Rossi, RM Marcacini, SO Rezende
São Carlos, SP, Brasil., 2013
402013
O uso da mineração de textos para extração e organização não supervisionada de conhecimento.
SO Rezende, RM Marcacini, MF Moura
Embrapa Informática Agropecuária-Artigo em periódico indexado (ALICE), 2011
332011
Systematization of recurrent new product development management problems
JMH Costa, H Rozenfeld, CST Amaral, RM Marcacinit, SO Rezende
Engineering Management Journal 25 (1), 19-34, 2013
312013
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering.
RM Marcacini, SO Rezende
SEKE, 553, 2010
252010
Winning some of the document preprocessing challenges in a text mining process.
BM Nogueira, MF Moura, MS Conrado, RG Rossi, RM Marcacini, ...
Embrapa Informática Agropecuária-Artigo em anais de congresso (ALICE), 2008
232008
Torch: a tool for building topic hierarchies from growing text collections
RM Marcacini, SO Rezende
Anais Estendidos do XVI Simpósio Brasileiro de Sistemas Multimídia e Web …, 2010
162010
Exploiting text mining techniques for contextual recommendations
MA Domingues, CV Sundermann, MG Manzato, RM Marcacini, ...
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014
152014
Interactive textual feature selection for consensus clustering
GN Corrêa, RM Marcacini, ER Hruschka, SO Rezende
Pattern Recognition Letters 52, 25-31, 2015
142015
Analysis of domain independent statistical keyword extraction methods for incremental clustering
RG Rossi, RM Marcacini, SO Rezende
Learning and Nonlinear Models 12 (1), 17-37, 2014
132014
Incremental hierarchical text clustering with privileged information
RM Marcacini, SO Rezende
Proceedings of the 2013 ACM symposium on Document engineering, 231-232, 2013
132013
An active learning approach to frequent itemset-based text clustering
RM Marcacini, GN Corrêa, SO Rezende
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
132012
Named entities as privileged information for hierarchical text clustering
RA Sinoara, CV Sundermann, RM Marcacini, MA Domingues, ...
Proceedings of the 18th International Database Engineering & Applications …, 2014
112014
A proposal for building domain topic taxonomies.
MF Moura, RM Marcacini, BM Nogueira, MS CONRADO, SO Rezende
Embrapa Informática Agropecuária-Resumo em anais de congresso (ALICE), 2008
112008
Improving personalized ranking in recommender systems with topic hierarchies and implicit feedback
MG Manzato, MA Domingues, RM Marcacini, SO Rezende
2014 22nd International Conference on Pattern Recognition, 3696-3701, 2014
102014
Using contextual information from topic hierarchies to improve context-aware recommender systems
MA Domingues, MG Manzato, RM Marcacini, CV Sundermann, ...
2014 22nd International Conference on Pattern Recognition, 3606-3611, 2014
92014
On the use of consensus clustering for incremental learning of topic hierarchies
RM Marcacini, ER Hruschka, SO Rezende
Brazilian Symposium on Artificial Intelligence, 112-121, 2012
92012
Using topic hierarchies with privileged information to improve context-aware recommender systems
CV Sundermann, MA Domingues, RM Marcacini, SO Rezende
2014 Brazilian Conference on Intelligent Systems, 61-66, 2014
82014
Privileged information for hierarchical document clustering: a metric learning approach
RM Marcacini, MA Domingues, ER Hruschka, SO Rezende
2014 22nd International Conference on Pattern Recognition, 3636-3641, 2014
72014
Easily labelling hierarchical document clusters.
MF Moura, RM Macacini, SO Rezende
Embrapa Informática Agropecuária-Artigo em anais de congresso (ALICE), 2008
72008
Cross-domain aspect extraction for sentiment analysis: A transductive learning approach
RM Marcacini, RG Rossi, IP Matsuno, SO Rezende
Decision Support Systems 114, 70-80, 2018
62018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20