Ricardo M. Marcacini

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 22

Top Topics

Privileged Information

Top Venues

J. Inf. Data Manag.

Publications

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
DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes. Neurocomputing 568 (2024)
Paulo Viviurka Do Carmo, Edgard Marx, Ricardo M. Marcacini, Marilia Valli, João Victor Silva e Silva, Alan Pilon
NatUKE: A Benchmark for Natural Product Knowledge Extraction from Academic Literature. ICSC (2023)
João Pedro Rodrigues Mattos, Ricardo M. Marcacini
Semi-Supervised Graph Attention Networks for Event Representation Learning. CoRR (2022)
Marcos P. S. Gôlo, Adailton Ferreira Araujo, Rafael Geraldeli Rossi, Ricardo M. Marcacini
Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning. Inf. Softw. Technol. 151 (2022)
Ricardo M. Marcacini, Arnaldo Candido Jr., Edresson Casanova
Overview of the Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese (S&ER) Shared-tasks at PROPOR 2022. SE&R@PROPOR (2022)
Ana Carolina Rodrigues, Ricardo M. Marcacini
Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. ICMLA (2022)
Ivan J. Reis Filho, Luiz H. D. Martins, Antonio Rafael Sabino Parmezan, Ricardo M. Marcacini, Solange O. Rezende
Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. BRACIS (1) (2022)
Adailton Ferreira Araujo, Marcos Gôlo, Ricardo M. Marcacini
Opinion mining for app reviews: an analysis of textual representation and predictive models. Autom. Softw. Eng. 29 (1) (2022)
Adailton Ferreira de Araújo, Ricardo M. Marcacini
Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings. SBES (2021)
Ricardo A. M. Pinto, Flávia Cristina Bernardini, Ricardo M. Marcacini
PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. Int. J. Bus. Intell. Data Min. 18 (3) (2021)
Mariana C. de Souza, Bruno M. Nogueira, Rafael Geraldeli Rossi, Ricardo M. Marcacini, Solange O. Rezende
A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News. BRACIS (2) (2021)
Marcos Gôlo, Mariana Caravanti, Rafael Geraldeli Rossi, Solange O. Rezende, Bruno Magalhães Nogueira, Ricardo M. Marcacini
Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning. WebMedia (2021)
Paulo do Carmo, Ricardo M. Marcacini
Embedding propagation over heterogeneous event networks for link prediction. IEEE BigData (2021)
João Pedro Rodrigues Mattos, Ricardo M. Marcacini
Semi-Supervised Graph Attention Networks for Event Representation Learning. ICDM (2021)
Victor Machado Gonzaga, Nils Murrugarra-Llerena, Ricardo M. Marcacini
Multimodal intent classification with incomplete modalities using text embedding propagation. WebMedia (2021)
Brucce Neves dos Santos, Ricardo M. Marcacini, Solange O. Rezende
A Sampling-Based Framework for Transductive Classification in Information Networks. BRACIS (2019)
Lusas S. Rodrigues, Solange O. Rezende, Maria Fernanda Moura, Ricardo M. Marcacini
Agribusiness Time Series Forecasting using Perceptually Important Events. CLEI (2018)
Rodrigo M. Ferreira, Ricardo M. Marcacini
Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory. CoRR (2017)
Ronaldo Florence, Bruno M. Nogueira, Ricardo M. Marcacini
Constrained Hierarchical Clustering for News Events. IDEAS (2017)
Ivone Penque Matsuno, Rafael Geraldeli Rossi, Ricardo M. Marcacini, Solange O. Rezende
Aspect-based Sentiment Analysis using Semi-supervised Learning in Bipartite Heterogeneous Networks. J. Inf. Data Manag. 7 (2) (2016)
Ricardo M. Marcacini, Julio C. Carnevali, Joao Domingos
On combining Websensors and DTW distance for kNN Time Series Forecasting. ICPR (2016)
Geraldo N. Correa, Ricardo M. Marcacini, Eduardo R. Hruschka, Solange Oliveira Rezende
Interactive textual feature selection for consensus clustering. Pattern Recognit. Lett. 52 (2015)
Roberta Akemi Sinoara, Camila Vaccari Sundermann, Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange O. Rezende
Named entities as privileged information for hierarchical text clustering. IDEAS (2014)
Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende
Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. BRACIS (2014)
Rafael Bonin, Ricardo M. Marcacini, Solange O. Rezende
Unsupervised Instance Selection from Text Streams. J. Inf. Data Manag. 5 (1) (2014)
Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende
Improving consensus clustering of texts using interactive feature selection. WWW (Companion Volume) (2013)
Ricardo M. Marcacini, Geraldo N. Correa, Solange O. Rezende
An active learning approach to frequent itemset-based text clustering. ICPR (2012)
Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende
On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies. SBIA (2012)
Ricardo M. Marcacini, Solange O. Rezende
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering. SEKE (2010)