Ricardo M. Marcacini
Ricardo M. Marcacini
Institute of Mathematics and Computer Sciences (ICMC) - University of São Paulo (USP)
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Cited by
Benchmarking text collections for classification and clustering tasks
RG Rossi, RM Marcacini, SO Rezende
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
O uso da mineração de textos para extração e organização não supervisionada de conhecimento
SO Rezende, RM Marcacini, MF Moura
Revista de Sistemas de Informação da FSMA 7 (1), 7-21, 2011
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
Re-bert: automatic extraction of software requirements from app reviews using bert language model
AF de Araújo, RM Marcacini
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1321-1327, 2021
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering.
RM Marcacini, SO Rezende
SEKE, 553, 2010
Winning some of the document preprocessing challenges in a text mining process
BM Nogueira, MF Moura, MS Conrado, RG Rossi, RM Marcacini, ...
IV Workshop on Algorithms and Data Mining Applications, 10-18, 2008
Using opinion mining in context-aware recommender systems: A systematic review
CV Sundermann, MA Domingues, RA Sinoara, RM Marcacini, ...
Information 10 (2), 42, 2019
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
Interactive textual feature selection for consensus clustering
GN Corrêa, RM Marcacini, ER Hruschka, SO Rezende
Pattern Recognition Letters 52, 25-31, 2015
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
Opinion mining for app reviews: an analysis of textual representation and predictive models
AF Araujo, MPS Gôlo, RM Marcacini
Automated Software Engineering 29, 1-30, 2022
Incremental hierarchical text clustering with privileged information
RM Marcacini, SO Rezende
Proceedings of the 2013 ACM symposium on document engineering, 231-232, 2013
From bag-of-words to pre-trained neural language models: Improving automatic classification of app reviews for requirements engineering
A Araujo, M Golo, B Viana, F Sanches, R Romero, R Marcacini
Anais do XVII Encontro Nacional de Inteligência Artificial e Computacional …, 2020
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
A network-based positive and unlabeled learning approach for fake news detection
MC de Souza, BM Nogueira, RG Rossi, RM Marcacini, BN Dos Santos, ...
Machine learning 111 (10), 3549-3592, 2022
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
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
Multi-domain aspect extraction using bidirectional encoder representations from transformers
BN Dos Santos, RM Marcacini, SO Rezende
IEEE Access 9, 91604-91613, 2021
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering
BM Nogueira, YKB Tomas, RM Marcacini
2017 International Joint Conference on Neural Networks (IJCNN), 4118-4125, 2017
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