Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering. - Ricardo M. Marcacini; Solange O. Rezende (SEKE, 2010)

An active learning approach to frequent itemset-based text clustering. - Ricardo M. Marcacini; Geraldo N. Correa; Solange O. Rezende (ICPR, 2012)

On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies. - Ricardo M. Marcacini; Eduardo R. Hruschka; Solange O. Rezende (SBIA, 2012)

Incremental hierarchical text clustering with privileged information. - Ricardo Marcondes Marcacini; Solange Oliveira Rezende (ACM Symposium on Document Engineering, 2013)

Improving consensus clustering of texts using interactive feature selection. - Ricardo M. Marcacini; Marcos Aurélio Domingues; Solange Oliveira Rezende (WWW (Companion Volume), 2013)

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Ricardo M. Marcacini; Solange Oliveira Rezende (BRACIS, 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 (ICPR, 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 (ICPR, 2014)

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. - Ricardo Marcondes Marcacini; Marcos Aurélio Domingues; Eduardo R. Hruschka; Solange Oliveira Rezende (ICPR, 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 (IDEAS, 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 (LA-WEB, 2014)

Exploiting Text Mining Techniques for Contextual Recommendations. - Marcos Aurélio Domingues; Camila Vaccari Sundermann; Marcelo Garcia Manzato; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (WI-IAT (1), 2014)

Unsupervised Instance Selection from Text Streams. - Rafael Bonin; Ricardo M. Marcacini; Solange O. Rezende (J. Inf. Data Manag., 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 (2014)

Combining Privileged Information to Improve Context-Aware Recommender Systems. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (CoRR, 2015)

Interactive textual feature selection for consensus clustering. - Geraldo N. Correa; Ricardo M. Marcacini; Eduardo R. Hruschka; Solange Oliveira Rezende (Pattern Recognit. Lett., 2015)

On combining Websensors and DTW distance for kNN Time Series Forecasting. - Ricardo M. Marcacini; Julio C. Carnevali; Joao Domingos (ICPR, 2016)

Opinion-meter: A Framework for Aspect-Based Sentiment Analysis. - Darlan Santana Farias; Ivone Penque Matsuno; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (WebMedia, 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)

Constrained Hierarchical Clustering for News Events. - Ronaldo Florence; Bruno M. Nogueira 001; Ricardo M. Marcacini (IDEAS, 2017)

Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. - Bruno Magalhães Nogueira 001; Yuri Karan Benevides Tomas; Ricardo Marcondes Marcacini (IJCNN, 2017)

Transductive Event Classification through Heterogeneous Networks. - Brucce Neves dos Santos; Rafael Geraldeli Rossi; Ricardo Marcondes Marcacini (WebMedia, 2017)

Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory. - Rodrigo M. Ferreira; Ricardo M. Marcacini (CoRR, 2017)

Agribusiness Time Series Forecasting using Perceptually Important Events. - Lusas S. Rodrigues; Solange O. Rezende; Maria Fernanda Moura; Ricardo M. Marcacini (CLEI, 2018)

Improving Instance Selection via Metric Learning. - Eduardo Zarate Max; Ricardo Marcondes Marcacini; Edson Takashi Matsubara (IJCNN, 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)

A Sampling-Based Framework for Transductive Classification in Information Networks. - Brucce Neves dos Santos; Ricardo M. Marcacini; Solange O. Rezende (BRACIS, 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 (BRACIS, 2019)

BULNER: BUg Localization with word embeddings and NEtwork Regularization. - Jacson Rodrigues Barbosa; Ricardo Marcondes Marcacini; Ricardo Britto 001; Frederico Soares; Solange O. Rezende; Auri M. R. Vincenzi; Márcio E. Delamaro (VEM, 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)

4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. - Angelo Cesar Mendes da Silva; Diego Furtado Silva; Ricardo Marcondes Marcacini (WebMedia, 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)

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)

Embedding propagation over heterogeneous event networks for link prediction. - Paulo do Carmo; Ricardo M. Marcacini (IEEE BigData, 2021)

A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News. - Mariana Caravanti de Souza; Bruno M. Nogueira 001; Rafael Geraldeli Rossi; Ricardo M. Marcacini; Solange O. Rezende (BRACIS (2), 2021)

Semi-Supervised Graph Attention Networks for Event Representation Learning. - João Pedro Rodrigues Mattos; Ricardo M. Marcacini (ICDM, 2021)

RE-BERT: automatic extraction of software requirements from app reviews using BERT language model. - Adailton Ferreira de Araújo; Ricardo Marcondes Marcacini (SAC, 2021)

Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings. - Adailton Ferreira de Araújo; Ricardo M. Marcacini (SBES, 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 001; Ricardo M. Marcacini (WebMedia, 2021)

Multimodal intent classification with incomplete modalities using text embedding propagation. - Victor Machado Gonzaga; Nils Murrugarra-Llerena; Ricardo M. Marcacini (WebMedia, 2021)

Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers. - Brucce Neves dos Santos; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (IEEE Access, 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)

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 (BRACIS (1), 2022)

Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. - Ana Carolina Rodrigues; Ricardo M. Marcacini (ICMLA, 2022)

Heterogeneous Graph Neural Network for Music Emotion Recognition. - Angelo Cesar Mendes da Silva; Diego Furtado Silva; Ricardo Marcondes Marcacini (ISMIR, 2022)

Overview of the Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese (S&ER) Shared-tasks at PROPOR 2022. - Ricardo M. Marcacini; Arnaldo Candido Jr.; Edresson Casanova (SE&R@PROPOR, 2022)

Video Summarization using Text Subjectivity Classification. - Leonardo Moraes; Ricardo Marcondes Marcacini; Rudinei Goularte (WebMedia, 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)

Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis. - Guilherme Lourenço de Toledo; Ricardo Marcondes Marcacini (CoRR, 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)

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)

A network-based positive and unlabeled learning approach for fake news detection. - Mariana Caravanti de Souza; Bruno Magalhães Nogueira 001; Rafael Geraldeli Rossi; Ricardo Marcondes Marcacini; Brucce Neves dos Santos; Solange Oliveira Rezende (Mach. Learn., 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)

Weak Supervision for Question and Answering Sentiment Analysis. - Victor Akihito Kamada Tomita; Fábio Manoel França Lobato; Ricardo Marcondes Marcacini (ICMLA, 2023)

On the Use of Aggregation Functions for Semi-Supervised Network Embedding. - Marcelo Isaias de Moraes; Ricardo Marcondes Marcacini (IJCNN, 2023)

MApp-IDEA: Monitoring App for Issue Detection and Prioritization. - Vitor Mesaque Alves de Lima; Jacson Rodrigues Barbosa; Ricardo Marcondes Marcacini (SBES, 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 (ICSC, 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 (WebMedia, 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 (WebMedia, 2023)

Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person. - Lucas Rafael Stefanel Gris; Ricardo M. Marcacini; Arnaldo Cândido Júnior; Edresson Casanova; Anderson da Silva Soares; Sandra Maria Aluísio (CoRR, 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 001; Ricardo Marcondes Marcacini (Eng. Appl. Artif. Intell., 2023)

One-Class Learning for Data Stream Through Graph Neural Networks. - Marcos Paulo Silva Gôlo; João Gama 001; Ricardo Marcondes Marcacini (BRACIS (4), 2024)

Monitoring Temporal Dynamics of Issues in Crowdsourced User Reviews and their Impact on Mobile App Updates. - Vitor Mesaque Alves de Lima; Jacson Rodrigues Barbosa; Ricardo Marcondes Marcacini (ICSME, 2024)

iRisk: A Scalable Microservice for Classifying Issue Risks Based on Crowdsourced App Reviews. - Vitor Mesaque Alves de Lima; Jacson Rodrigues Barbosa; Ricardo Marcondes Marcacini (ICSME, 2024)

Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution. - Vitor Mesaque Alves de Lima; Ricardo Marcondes Marcacini (SBQS, 2024)

Complaint Analysis in Fintech Domain: A Case Study in Brazilian Brokerage Firms. - Matheus L. Couto; Pedro Henrique Costa Menezes; Olaf Reinhold; Ricardo M. Marcacini; Antônio F. L. Jacob; Fábio M. F. Lobato (WI/IAT, 2024)

OLGA: One-cLass Graph Autoencoder. - Marcos Paulo Silva Gôlo; José Gilberto Barbosa de Medeiros Júnior; Diego Furtado Silva; Ricardo Marcondes Marcacini (CoRR, 2024)

Keywords attention for fake news detection using few positive labels. - Mariana Caravanti de Souza; Marcos Paulo Silva Gôlo; Alípio Mário Jorge; Evelin Carvalho Freire de Amorim; Ricardo Nuno Taborda Campos; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (Inf. Sci., 2024)

Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators. - Marcos Paulo Silva Gôlo; Marcelo Isaias de Moraes; Rudinei Goularte; Ricardo Marcondes Marcacini (J. Interact. Syst., 2024)

Artist Similarity Based on Heterogeneous Graph Neural Networks. - Angelo Cesar Mendes da Silva; Diego Furtado Silva; Ricardo Marcondes Marcacini (IEEE ACM Trans. Audio Speech Lang. Process., 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 Paulo Faina Garcia (Neurocomputing, 2024)

MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling. - Sidney Evaldo Leal; Arnaldo Cândido Júnior; Ricardo M. Marcacini; Edresson Casanova; Odilon Gonçalves; Anderson da Silva Soares; Rodrigo Lima; Lucas Rafael Stefanel Gris; Sandra M. Aluísio (COLING, 2025)

Improving Natural Product Knowledge Extraction from Academic Literature with Enhanced PDF Text Extraction and Large Language Models. - Paulo Viviurka Do Carmo; Marcos Paulo Silva Gôlo; Jonas Gwozdz; Edgard Marx; Ricardo Marcondes Marcacini (SAC, 2025)

Pseudo-Labeling Domain Adaptation Using Multi-Model Learning. - Victor Akihito Kamada Tomita; Ricardo Marcondes Marcacini (IEEE Access, 2025)

One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification. - Marcos Paulo Silva Gôlo; José Gilberto Barbosa de Medeiros Júnior; Diego Furtado Silva; Ricardo Marcondes Marcacini (Inf. Sci., 2025)

How do financial time series enhance the detection of news significance in market movements? A study using graph neural networks with heterogeneous representations. - Ivan J. Reis Filho; Marcos P. S. Gôlo; Ricardo M. Marcacini; Solange O. Rezende (Neural Comput. Appl., 2025)

Issue detection and prioritization based on mobile application reviews. - Vitor Mesaque Alves de Lima; Jacson Rodrigues Barbosa; Ricardo Marcondes Marcacini (Softw. Qual. J., 2025)

Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents. - Vitor Oliveira; Gabriel Nogueira; Thiago de Paulo Faleiros; Ricardo M. Marcacini (Artif. Intell. Law, 2025)