Ricardo Marcondes Marcacini

53 papers A 2B 7C 1Misc 2Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EPHG-CR: embedding propagation for heterogeneous graphs with class refinement. Appl. Intell. Brucce Neves dos Santos, Ricardo Marcondes Marcacini, Alípio Mário Jorge, Ricardo Campos, Solange Oliveira Rezende
2026	J	`jnl`	Explainable visual emotion recognition via modular reasoning. Pattern Recognit. Magaly Lika Fujimoto, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2026	J	`jnl`	Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions. Inf. Fusion Magaly Lika Fujimoto, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2025	J	`jnl`	Domain Learning from Data for Large Language Model Translation and Adaptation. J. Braz. Comput. Soc. René Vieira Santin, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2025	Misc	`conf`	Improving Natural Product Knowledge Extraction from Academic Literature with Enhanced PDF Text Extraction and Large Language Models. SAC Paulo Viviurka Do Carmo, Marcos Paulo Silva Gôlo, Jonas Gwozdz, Edgard Marx, Ricardo Marcondes Marcacini
2025	J	`jnl`	Issue detection and prioritization based on mobile application reviews. Softw. Qual. J. Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini
2025	J	`jnl`	LLM-based approaches for automated vocabulary mapping between SIGTAP and OMOP CDM concepts. Artif. Intell. Medicine Vinícius João de Barros Vanzin, Dilvan de Abreu Moreira, Ricardo Marcondes Marcacini
2025	J	`jnl`	One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification. Inf. Sci. Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Júnior, Diego Furtado Silva, Ricardo Marcondes Marcacini
2025	J	`jnl`	Pseudo-Labeling Domain Adaptation Using Multi-Model Learning. IEEE Access Victor Akihito Kamada Tomita, Ricardo Marcondes Marcacini
2025	—	`conf`	Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios. SBAC-PADW João Lucas Luz Lima Sarcinelli, Ricardo Marcondes Marcacini
2025	J	`jnl`	Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios. CoRR João Lucas Luz Lima Sarcinelli, Ricardo Marcondes Marcacini
2024	J	`jnl`	Artist Similarity Based on Heterogeneous Graph Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2024	J	`jnl`	Keywords attention for fake news detection using few positive labels. Inf. Sci. 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
2024	A	`conf`	Monitoring Temporal Dynamics of Issues in Crowdsourced User Reviews and their Impact on Mobile App Updates. ICSME Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini
2024	J	`jnl`	OLGA: One-cLass Graph Autoencoder. CoRR Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Júnior, Diego Furtado Silva, Ricardo Marcondes Marcacini
2024	—	`conf`	One-Class Learning for Data Stream Through Graph Neural Networks. BRACIS (4) Marcos Paulo Silva Gôlo, João Gama, Ricardo Marcondes Marcacini
2024	—	`conf`	Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution. SBQS Vitor Mesaque Alves de Lima, Ricardo Marcondes Marcacini
2024	J	`jnl`	Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators. J. Interact. Syst. Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, Ricardo Marcondes Marcacini
2024	A	`conf`	iRisk: A Scalable Microservice for Classifying Issue Risks Based on Crowdsourced App Reviews. ICSME Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini
2023	—	`conf`	MApp-IDEA: Monitoring App for Issue Detection and Prioritization. SBES Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini
2023	B	`conf`	On the Use of Aggregation Functions for Semi-Supervised Network Embedding. IJCNN Marcelo Isaias de Moraes, Ricardo Marcondes Marcacini
2023	—	`conf`	On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning. WebMedia Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, Ricardo Marcondes Marcacini
2023	J	`jnl`	One-class learning for fake news detection through multimodal variational autoencoders. Eng. Appl. Artif. Intell. Marcos Paulo Silva Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Bruno Magalhães Nogueira, Ricardo Marcondes Marcacini
2023	—	`conf`	Unfairness in Machine Learning for Web Systems Applications. WebMedia Diego Minatel, Nícolas Roque dos Santos, Angelo Cesar Mendes da Silva, Mariana Curi, Ricardo Marcondes Marcacini, Alneu de Andrade Lopes
2023	C	`conf`	Weak Supervision for Question and Answering Sentiment Analysis. ICMLA Victor Akihito Kamada Tomita, Fábio Manoel França Lobato, Ricardo Marcondes Marcacini
2022	J	`jnl`	A network-based positive and unlabeled learning approach for fake news detection. Mach. Learn. Mariana Caravanti de Souza, Bruno Magalhães Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini, Brucce Neves dos Santos, Solange Oliveira Rezende
2022	—	`conf`	Heterogeneous Graph Neural Network for Music Emotion Recognition. ISMIR Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2022	J	`jnl`	Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Syst. Appl. Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2022	J	`jnl`	Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Comput. Sci. Vitor Mesaque Alves de Lima, Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini
2022	J	`jnl`	Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis. CoRR Guilherme Lourenço de Toledo, Ricardo Marcondes Marcacini
2022	—	`conf`	Video Summarization using Text Subjectivity Classification. WebMedia Leonardo Moraes, Ricardo Marcondes Marcacini, Rudinei Goularte
2021	J	`jnl`	Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers. IEEE Access Brucce Neves dos Santos, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2021	Misc	`conf`	RE-BERT: automatic extraction of software requirements from app reviews using BERT language model. SAC Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini
2020	—	`conf`	4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. WebMedia Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2020	J	`jnl`	A context-aware recommender method based on text and opinion mining. Expert Syst. J. Knowl. Eng. Camila Vaccari Sundermann, Renan de Padua, Vítor Rodrigues Tonon, Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende
2020	J	`jnl`	A two-stage regularization framework for heterogeneous event networks. Pattern Recognit. Lett. Brucce Neves dos Santos, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Ricardo Marcondes Marcacini
2019	—	`conf`	BULNER: BUg Localization with word embeddings and NEtwork Regularization. VEM Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange O. Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro
2019	J	`jnl`	BULNER: BUg Localization with word embeddings and NEtwork Regularization. CoRR Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange Oliveira Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro
2019	—	`conf`	Improving Recommendations by Using a Heterogeneous Network and User's Reviews. BRACIS Vítor Rodrigues Tonon, Cintia Carvalho Oliveira, Daniele Carvalho Oliveira, Alneu de Andrade Lopes, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2019	J	`jnl`	Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. Inf. Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2018	J	`jnl`	Cross-domain aspect extraction for sentiment analysis: A transductive learning approach. Decis. Support Syst. Ricardo Marcondes Marcacini, Rafael Geraldeli Rossi, Ivone Penque Matsuno, Solange Oliveira Rezende
2018	B	`conf`	Improving Instance Selection via Metric Learning. IJCNN Eduardo Zarate Max, Ricardo Marcondes Marcacini, Edson Takashi Matsubara
2017	B	`conf`	Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. IJCNN Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini
2017	—	`conf`	Transductive Event Classification through Heterogeneous Networks. WebMedia Brucce Neves dos Santos, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini
2016	—	`conf`	Opinion-meter: A Framework for Aspect-Based Sentiment Analysis. WebMedia Darlan Santana Farias, Ivone Penque Matsuno, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2015	J	`jnl`	Combining Privileged Information to Improve Context-Aware Recommender Systems. CoRR Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2014	—	`conf`	A Generation Environment for Front-End Layer in e-Government Content Management Systems. LA-WEB Vitor Mesaque Alves de Lima, Ricardo Marcondes Marcacini, Marcelo Henrique Pereira Lima, Maria Istela Cagnin, Marcelo Augusto Santos Turine
2014	—	`conf`	Exploiting Text Mining Techniques for Contextual Recommendations. WI-IAT (1) Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2014	B	`conf`	Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. ICPR Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
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	B	`conf`	Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. ICPR Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende
2014	B	`conf`	Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. ICPR Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende
2013	B	`conf`	Incremental hierarchical text clustering with privileged information. ACM Symposium on Document Engineering Ricardo Marcondes Marcacini, Solange Oliveira Rezende