Ricardo M. Marcacini

According to our database, Ricardo M. Marcacini authored at least 60 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes.

Gabriel M. C. Guimarães, Felipe X. B. da Silva, Andrei L. Queiroz, Ricardo M. Marcacini, Thiago de Paulo Faleiros, Vinicius R. P. Borges, Luís P. F. Garcia

Neurocomputing, February, 2024

2023

One-class learning for fake news detection through multimodal variational autoencoders.

Marcos Paulo Silva Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Bruno Magalhães Nogueira, Ricardo Marcondes Marcacini

Eng. Appl. Artif. Intell., 2023

Unfairness in Machine Learning for Web Systems Applications.

Diego Minatel, Nícolas Roque dos Santos, Angelo Cesar Mendes da Silva, Mariana Curi, Ricardo Marcondes Marcacini, Alneu de Andrade Lopes

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning.

Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, Ricardo Marcondes Marcacini

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

NatUKE: A Benchmark for Natural Product Knowledge Extraction from Academic Literature.

Paulo Viviurka Do Carmo, Edgard Marx, Ricardo M. Marcacini, Marilia Valli, João Victor Silva e Silva, Alan Pilon

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

MApp-IDEA: Monitoring App for Issue Detection and Prioritization.

Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini

Proceedings of the XXXVII Brazilian Symposium on Software Engineering, 2023

On the Use of Aggregation Functions for Semi-Supervised Network Embedding.

Marcelo Isaias de Moraes, Ricardo Marcondes Marcacini

Proceedings of the International Joint Conference on Neural Networks, 2023

Weak Supervision for Question and Answering Sentiment Analysis.

Victor Akihito Kamada Tomita, Fábio Manoel França Lobato, Ricardo Marcondes Marcacini

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Temporal dynamics of requirements engineering from mobile app reviews.

Vitor Mesaque Alves de Lima, Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini

PeerJ Comput. Sci., 2022

A network-based positive and unlabeled learning approach for fake news detection.

Mariana Caravanti de Souza, Bruno Magalhães Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini, Brucce Neves dos Santos, Solange Oliveira Rezende

Mach. Learn., 2022

Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning.

Marcos P. S. Gôlo, Adailton Ferreira Araujo, Rafael Geraldeli Rossi, Ricardo M. Marcacini

Inf. Softw. Technol., 2022

Multimodal representation learning over heterogeneous networks for tag-based music retrieval.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Expert Syst. Appl., 2022

Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis.

Guilherme Lourenço de Toledo, Ricardo Marcondes Marcacini

CoRR, 2022

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

Adailton Ferreira de Araújo, Marcos P. S. Gôlo, Ricardo M. Marcacini

Autom. Softw. Eng., 2022

Video Summarization using Text Subjectivity Classification.

Leonardo Moraes, Ricardo Marcondes Marcacini, Rudinei Goularte

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Heterogeneous Graph Neural Network for Music Emotion Recognition.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Sentence Similarity Recognition in Portuguese from Multiple Embedding Models.

Ana Carolina Rodrigues, Ricardo M. Marcacini

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision.

Ivan J. Reis Filho, Luiz H. D. Martins, Antonio Rafael Sabino Parmezan, Ricardo M. Marcacini, Solange O. Rezende

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

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

Ricardo A. M. Pinto, Flávia Cristina Bernardini, Ricardo M. Marcacini

Int. J. Bus. Intell. Data Min., 2021

Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers.

Brucce Neves dos Santos, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

IEEE Access, 2021

Multimodal intent classification with incomplete modalities using text embedding propagation.

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

Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

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

Marcos P. S. Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, Solange O. Rezende, Bruno Magalhães Nogueira, Ricardo M. Marcacini

Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings.

Adailton Ferreira de Araújo, Ricardo M. Marcacini

Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021

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

Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Semi-Supervised Graph Attention Networks for Event Representation Learning.

João Pedro Rodrigues Mattos, Ricardo M. Marcacini

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Mariana Caravanti de Souza, Bruno M. Nogueira, Rafael Geraldeli Rossi, Ricardo M. Marcacini, Solange O. Rezende

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

Embedding propagation over heterogeneous event networks for link prediction.

Paulo do Carmo, Ricardo M. Marcacini

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A two-stage regularization framework for heterogeneous event networks.

Brucce Neves dos Santos, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Ricardo Marcondes Marcacini

Pattern Recognit. Lett., 2020

A context-aware recommender method based on text and opinion mining.

Camila Vaccari Sundermann, Renan de Padua, Vítor Rodrigues Tonon, Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende

Expert Syst. J. Knowl. Eng., 2020

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

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

2019

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

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Inf., 2019

BULNER: BUg Localization with word embeddings and NEtwork Regularization.

Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange O. Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro

Proceedings of the VII Workshop on Software Visualization, Evolution and Maintenance, 2019

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

Vítor Rodrigues Tonon, Cintia Carvalho Oliveira, Daniele Carvalho Oliveira, Alneu de Andrade Lopes, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

A Sampling-Based Framework for Transductive Classification in Information Networks.

Brucce Neves dos Santos, Ricardo M. Marcacini, Solange O. Rezende

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

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

Ricardo Marcondes Marcacini, Rafael Geraldeli Rossi, Ivone Penque Matsuno, Solange Oliveira Rezende

Decis. Support Syst., 2018

Improving Instance Selection via Metric Learning.

Eduardo Zarate Max, Ricardo Marcondes Marcacini, Edson Takashi Matsubara

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Agribusiness Time Series Forecasting using Perceptually Important Events.

Lusas S. Rodrigues, Solange O. Rezende, Maria Fernanda Moura, Ricardo M. Marcacini

Proceedings of the XLIV Latin American Computer Conference, 2018

2017

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

Rodrigo M. Ferreira, Ricardo M. Marcacini

CoRR, 2017

Transductive Event Classification through Heterogeneous Networks.

Brucce Neves dos Santos, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

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

Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Constrained Hierarchical Clustering for News Events.

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

Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

2016

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

Ivone Penque Matsuno, Rafael Geraldeli Rossi, Ricardo M. Marcacini, Solange O. Rezende

J. Inf. Data Manag., 2016

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

Darlan Santana Farias, Ivone Penque Matsuno, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

On combining Websensors and DTW distance for kNN Time Series Forecasting.

Ricardo M. Marcacini, Julio C. Carnevali, Joao Domingos

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Interactive textual feature selection for consensus clustering.

Geraldo N. Correa, Ricardo M. Marcacini, Eduardo R. Hruschka, Solange Oliveira Rezende

Pattern Recognit. Lett., 2015

Combining Privileged Information to Improve Context-Aware Recommender Systems.

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

CoRR, 2015

2014

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

Ricardo Marcondes Marcacini

PhD thesis, 2014

Unsupervised Instance Selection from Text Streams.

Rafael Bonin, Ricardo M. Marcacini, Solange O. Rezende

J. Inf. Data Manag., 2014

Exploiting Text Mining Techniques for Contextual Recommendations.

Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

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

Vitor Mesaque Alves de Lima, Ricardo Marcondes Marcacini, Marcelo Henrique Pereira Lima, Maria Istela Cagnin, Marcelo Augusto Santos Turine

Proceedings of the 9th Latin American Web Congress, 2014

Named entities as privileged information for hierarchical text clustering.

Roberta Akemi Sinoara, Camila Vaccari Sundermann, Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange O. Rezende

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.

Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

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

Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

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

Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

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

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Improving consensus clustering of texts using interactive feature selection.

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

Proceedings of the 22nd International World Wide Web Conference, 2013

Incremental hierarchical text clustering with privileged information.

Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the ACM Symposium on Document Engineering 2013, 2013

2012

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

Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende

Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

An active learning approach to frequent itemset-based text clustering.

Ricardo M. Marcacini, Geraldo N. Correa, Solange O. Rezende

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010

Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering.

Ricardo M. Marcacini, Solange O. Rezende

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010