Ricardo M. Marcacini

发表

Constrained Hierarchical Clustering for News Events

Ronaldo Florence, Bruno M. Nogueira, Ricardo M. Marcacini, 2017, IDEAS.

Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems

Marcelo G. Manzato, Marcos Aurélio Domingues, Ricardo M. Marcacini, 2014, 2014 22nd International Conference on Pattern Recognition.

Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering

Ricardo M. Marcacini, Solange Oliveira Rezende, R. Marcacini, 2010, SEKE.

Transductive Event Classification through Heterogeneous Networks

Ricardo M. Marcacini, Rafael Geraldeli Rossi, Brucce Neves dos Santos, 2017, WebMedia.

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2014, 2014 Brazilian Conference on Intelligent Systems.

Interactive textual feature selection for consensus clustering

Ricardo M. Marcacini, Solange Oliveira Rezende, Eduardo R. Hruschka, 2015, Pattern Recognit. Lett..

Opinion-meter: A Framework for Aspect-Based Sentiment Analysis

Ricardo M. Marcacini, Solange Oliveira Rezende, Darlan Santana Farias, 2016, WebMedia.

Agribusiness Time Series Forecasting using Perceptually Important Events

Solange O. Rezende, Ricardo M. Marcacini, Lusas S. Rodrigues, 2018, 2018 XLIV Latin American Computer Conference (CLEI).

Aspect-based Sentiment Analysis using Semi-supervised Learning in Bipartite Heterogeneous Networks

Ricardo M. Marcacini, Rafael Geraldeli Rossi, Solange Oliveira Rezende, 2016, J. Inf. Data Manag..

Integrating distance metric learning and cluster-level constraints in semi-supervised clustering

Bruno M. Nogueira, Ricardo M. Marcacini, Yuri Karan Benevides Tomas, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Machine learning with privileged information: approaches for hierarchical text clustering (Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos)

Ricardo M. Marcacini, 2014 .

Unsupervised Instance Selection from Text Streams

Ricardo M. Marcacini, Solange Oliveira Rezende, Rafael Bonin, 2014, J. Inf. Data Manag..

Cross-domain aspect extraction for sentiment analysis: A transductive learning approach

Ricardo M. Marcacini, Rafael Geraldeli Rossi, Solange Oliveira Rezende, 2018, Decis. Support Syst..

Improving Instance Selection via Metric Learning

Ricardo M. Marcacini, Edson Takashi Matsubara, Eduardo Zarate Max, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Improving consensus clustering of texts using interactive feature selection

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2013, WWW '13 Companion.

Combining Privileged Information to Improve Context-Aware Recommender Systems pdf

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2015, ArXiv.

On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies

Ricardo M. Marcacini, Solange Oliveira Rezende, Eduardo R. Hruschka, 2012, SBIA.

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2019, Inf..

Exploiting Text Mining Techniques for Contextual Recommendations

Marcelo G. Manzato, Marcos Aurélio Domingues, Ricardo M. Marcacini, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback

Marcelo G. Manzato, Marcos Aurélio Domingues, Ricardo M. Marcacini, 2014, 2014 22nd International Conference on Pattern Recognition.

Improving Recommendations by Using a Heterogeneous Network and User's Reviews

Alneu de Andrade Lopes, Ricardo M. Marcacini, Solange Oliveira Rezende, 2019, BRACIS.

4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features

Ricardo M. Marcacini, Angelo Cesar Mendes da Silva, Diego Furtado Silva, 2020, WebMedia.

2014 Brazilian Conference on Intelligent Systems, BRACIS 2014, Sao Paulo, Brazil, October 18-22, 2014

Ruy Luiz Milidiú, Camila V. Sundermann, Renato Tinós, 2014, BRACIS.

An active learning approach to frequent itemset-based text clustering

Ricardo M. Marcacini, Solange Oliveira Rezende, Geraldo N. Correa, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A comparative study of algorithms for recommending given names

Marcos A. Domingues, Gustavo E. A. P. A. Batista, Bruno M. Nogueira, 2013, 2013 Second International Conference on Informatics & Applications (ICIA).

A Generation Environment for Front-End Layer in e-Government Content Management Systems

Maria Istela Cagnin, Ricardo M. Marcacini, Marcelo Augusto Santos Turine, 2014, 2014 9th Latin American Web Congress.

On combining Websensors and DTW distance for kNN Time Series Forecasting

Ricardo M. Marcacini, Joao Domingos, Julio C. Carnevali, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2014, 2014 22nd International Conference on Pattern Recognition.

A Sampling-Based Framework for Transductive Classification in Information Networks

Solange O. Rezende, Ricardo M. Marcacini, Brucce Neves dos Santos, 2019, 2019 8th Brazilian Conference on Intelligent Systems (BRACIS).

PPM-HC: a Method for Helping Project Portfolio Management Based on Topic Hierarchy Learning

Ricardo M. Marcacini, Flavia Bernardini, Ricardo A. M. Pinto, 2019, International Journal of Business Intelligence and Data Mining.

Incremental hierarchical text clustering with privileged information

Ricardo M. Marcacini, Solange Oliveira Rezende, R. Marcacini, 2013, ACM Symposium on Document Engineering.

Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory pdf

Ricardo M. Marcacini, Rodrigo M. Ferreira, R. Marcacini, 2017, ArXiv.

Named entities as privileged information for hierarchical text clustering

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2014, IDEAS.

A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News

Ricardo M. Marcacini, Rafael Geraldeli Rossi, Solange Oliveira Rezende, 2021, BRACIS.

PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings

Ricardo M. Marcacini, Ricardo A. M. Pinto, Flávia Cristina Bernardini, 2021, Int. J. Bus. Intell. Data Min..

Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning

Ricardo M. Marcacini, Rafael Geraldeli Rossi, Solange Oliveira Rezende, 2021, WebMedia.

Semi-Supervised Graph Attention Networks for Event Representation Learning

Ricardo M. Marcacini, João Pedro Rodrigues Mattos, Joao Pedro Rodrigues Mattos, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Prototyping for user involvement activities: How to achieve major benefits

Solange O. Rezende, Ricardo M. Marcacini, Carina Campese, 2021 .

RE-BERT: automatic extraction of software requirements from app reviews using BERT language model

Ricardo M. Marcacini, Adailton F. Araujo, Adailton Ferreira de Araújo, 2021, SAC.

Opinion mining for app reviews: an analysis of textual representation and predictive models

Ricardo M. Marcacini, Adailton F. Araujo, Marcos P. S. Gôlo, 2021, Automated Software Engineering.

Multimodal intent classification with incomplete modalities using text embedding propagation

Ricardo M. Marcacini, Nils Murrugarra-Llerena, Victor Machado Gonzaga, 2021, WebMedia.

A fast dendrogram refinement approach for unsupervised expansion of hierarchies

Solange O. Rezende, Ricardo M. Marcacini, Jean Metz, 2012 .