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ORCIDRicardo M. Marcacini
Ricardo Marcondes Marcacini
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2020 – today
- 2024
[j19]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: 127064 (2024)- [j18]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:
Keywords attention for fake news detection using few positive labels. Inf. Sci. 663: 120300 (2024) - [j17]Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, Ricardo Marcondes Marcacini:
Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators. J. Interact. Syst. 15(1): 517-529 (2024) - [j16]Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
Artist Similarity Based on Heterogeneous Graph Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3717-3729 (2024) - [i7]Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Junior, Diego Furtado Silva, Ricardo Marcondes Marcacini:
OLGA: One-cLass Graph Autoencoder. CoRR abs/2406.09131 (2024) - 2023
- [j15]Marcos Paulo Silva Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Bruno Magalhães Nogueira, Ricardo Marcondes Marcacini:
One-class learning for fake news detection through multimodal variational autoencoders. Eng. Appl. Artif. Intell. 122: 106088 (2023) - [c41]Victor Akihito Kamada Tomita, Fábio Manoel França Lobato, Ricardo Marcondes Marcacini:
Weak Supervision for Question and Answering Sentiment Analysis. ICMLA 2023: 1895-1900 - [c40]Marcelo Isaias de Moraes, Ricardo Marcondes Marcacini:
On the Use of Aggregation Functions for Semi-Supervised Network Embedding. IJCNN 2023: 1-8 - [c39]Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini:
MApp-IDEA: Monitoring App for Issue Detection and Prioritization. SBES 2023: 180-185 - [c38]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: 199-203 - [c37]Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, Ricardo Marcondes Marcacini:
On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning. WebMedia 2023: 128-136 - [c36]Diego Minatel, Nícolas Roque dos Santos, Angelo Cesar Mendes da Silva, Mariana Curi, Ricardo Marcondes Marcacini, Alneu de Andrade Lopes:
Unfairness in Machine Learning for Web Systems Applications. WebMedia 2023: 144-153 - [i6]Lucas Rafael Stefanel Gris, Ricardo M. Marcacini, Arnaldo Cândido Júnior, Edresson Casanova, Anderson da Silva Soares, Sandra Maria Aluísio:
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person. CoRR abs/2305.14580 (2023) - 2022
- [j14]Adailton Ferreira de Araújo, Marcos P. S. Gôlo, Ricardo M. Marcacini:
Opinion mining for app reviews: an analysis of textual representation and predictive models. Autom. Softw. Eng. 29(1): 5 (2022) - [j13]Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Syst. Appl. 207: 117969 (2022) - [j12]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: 106998 (2022) - [j11]Mariana Caravanti de Souza, Bruno Magalhães Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini, Brucce Neves dos Santos, Solange Oliveira Rezende:
A network-based positive and unlabeled learning approach for fake news detection. Mach. Learn. 111(10): 3549-3592 (2022) - [j10]Vitor Mesaque Alves de Lima, Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini:
Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Comput. Sci. 8: e874 (2022) - [c35]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: 165-179 - [c34]Ana Carolina Rodrigues, Ricardo M. Marcacini:
Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. ICMLA 2022: 154-159 - [c33]Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
Heterogeneous Graph Neural Network for Music Emotion Recognition. ISMIR 2022: 667-674 - [c32]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: 1-8 - [c31]Leonardo Moraes, Ricardo Marcondes Marcacini, Rudinei Goularte:
Video Summarization using Text Subjectivity Classification. WebMedia 2022: 133-141 - [e1]Ricardo M. Marcacini, Arnaldo Candido Jr., Edresson Casanova:
Proceedings of the Workshop on Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese co-located with 15th edition of the International Conference on the Computational Processing of Portuguese (PROPOR 2022), Virtual Event, Fortaleza, Brazil, March 22, 2022. CEUR Workshop Proceedings 3175, CEUR-WS.org 2022 [contents] - [i5]João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. CoRR abs/2201.00363 (2022) - [i4]Guilherme Lourenço de Toledo, Ricardo Marcondes Marcacini:
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis. CoRR abs/2210.05790 (2022) - 2021
- [j9]Brucce Neves dos Santos, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers. IEEE Access 9: 91604-91613 (2021) - [j8]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): 364-382 (2021) - [c30]Paulo do Carmo, Ricardo M. Marcacini:
Embedding propagation over heterogeneous event networks for link prediction. IEEE BigData 2021: 4812-4821 - [c29]Mariana Caravanti 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: 3-18 - [c28]João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. ICDM 2021: 1234-1239 - [c27]Adailton Ferreira de Araújo, Ricardo Marcondes Marcacini:
RE-BERT: automatic extraction of software requirements from app reviews using BERT language model. SAC 2021: 1321-1327 - [c26]Adailton Ferreira de Araújo, Ricardo M. Marcacini:
Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings. SBES 2021: 297-302 - [c25]Marcos P. S. Gôlo, Mariana Caravanti de Souza, 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: 197-204 - [c24]Victor Machado Gonzaga, Nils Murrugarra-Llerena, Ricardo M. Marcacini:
Multimodal intent classification with incomplete modalities using text embedding propagation. WebMedia 2021: 217-220 - 2020
- [j7]Camila Vaccari Sundermann, Renan de Padua, Vítor Rodrigues Tonon, Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende:
A context-aware recommender method based on text and opinion mining. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j6]Brucce Neves dos Santos, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Ricardo Marcondes Marcacini:
A two-stage regularization framework for heterogeneous event networks. Pattern Recognit. Lett. 138: 490-496 (2020) - [c23]Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. WebMedia 2020: 145-148
2010 – 2019
- 2019
- [j5]Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. Inf. 10(2): 42 (2019) - [c22]Vítor Rodrigues Tonon, Cintia Carvalho Oliveira, Daniele Carvalho Oliveira, Alneu de Andrade Lopes, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Improving Recommendations by Using a Heterogeneous Network and User's Reviews. BRACIS 2019: 639-644 - [c21]Brucce Neves dos Santos, Ricardo M. Marcacini, Solange O. Rezende:
A Sampling-Based Framework for Transductive Classification in Information Networks. BRACIS 2019: 657-662 - [c20]Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange O. Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro:
BULNER: BUg Localization with word embeddings and NEtwork Regularization. VEM 2019: 21-28 - [i3]Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange Oliveira Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro:
BULNER: BUg Localization with word embeddings and NEtwork Regularization. CoRR abs/1908.09876 (2019) - 2018
- [j4]Ricardo Marcondes Marcacini, Rafael Geraldeli Rossi, Ivone Penque Matsuno, Solange Oliveira Rezende:
Cross-domain aspect extraction for sentiment analysis: A transductive learning approach. Decis. Support Syst. 114: 70-80 (2018) - [c19]Lusas S. Rodrigues, Solange O. Rezende, Maria Fernanda Moura, Ricardo M. Marcacini:
Agribusiness Time Series Forecasting using Perceptually Important Events. CLEI 2018: 268-277 - [c18]Eduardo Zarate Max, Ricardo Marcondes Marcacini, Edson Takashi Matsubara:
Improving Instance Selection via Metric Learning. IJCNN 2018: 1-6 - 2017
- [c17]Ronaldo Florence, Bruno M. Nogueira, Ricardo M. Marcacini:
Constrained Hierarchical Clustering for News Events. IDEAS 2017: 49-56 - [c16]Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini:
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. IJCNN 2017: 4118-4125 - [c15]Brucce Neves dos Santos, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini:
Transductive Event Classification through Heterogeneous Networks. WebMedia 2017: 285-292 - [i2]Rodrigo M. Ferreira, Ricardo M. Marcacini:
Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory. CoRR abs/1703.09436 (2017) - 2016
- [j3]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): 141-154 (2016) - [c14]Ricardo M. Marcacini, Julio C. Carnevali, Joao Domingos:
On combining Websensors and DTW distance for kNN Time Series Forecasting. ICPR 2016: 2521-2525 - [c13]Darlan Santana Farias, Ivone Penque Matsuno, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Opinion-meter: A Framework for Aspect-Based Sentiment Analysis. WebMedia 2016: 351-354 - 2015
- [j2]Geraldo N. Correa, Ricardo M. Marcacini, Eduardo R. Hruschka, Solange Oliveira Rezende:
Interactive textual feature selection for consensus clustering. Pattern Recognit. Lett. 52: 25-31 (2015) - [i1]Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Combining Privileged Information to Improve Context-Aware Recommender Systems. CoRR abs/1511.02290 (2015) - 2014
- [b1]Ricardo Marcondes Marcacini:
Machine learning with privileged information: approaches for hierarchical text clustering (Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos). University of São Paulo, Brazil, 2014 - [j1]Rafael Bonin, Ricardo M. Marcacini, Solange O. Rezende:
Unsupervised Instance Selection from Text Streams. J. Inf. Data Manag. 5(1): 114-123 (2014) - [c12]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: 61-66 - [c11]Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende:
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. ICPR 2014: 3606-3611 - [c10]Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende:
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. ICPR 2014: 3636-3641 - [c9]Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. ICPR 2014: 3696-3701 - [c8]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: 57-66 - [c7]Vitor Mesaque Alves de Lima, Ricardo Marcondes Marcacini, Marcelo Henrique Pereira Lima, Maria Istela Cagnin, Marcelo Augusto Santos Turine:
A Generation Environment for Front-End Layer in e-Government Content Management Systems. LA-WEB 2014: 119-123 - [c6]Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Exploiting Text Mining Techniques for Contextual Recommendations. WI-IAT (1) 2014: 210-217 - 2013
- [c5]Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Incremental hierarchical text clustering with privileged information. ACM Symposium on Document Engineering 2013: 231-232 - [c4]Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende:
Improving consensus clustering of texts using interactive feature selection. WWW (Companion Volume) 2013: 237-238 - 2012
- [c3]Ricardo M. Marcacini, Geraldo N. Correa, Solange O. Rezende:
An active learning approach to frequent itemset-based text clustering. ICPR 2012: 3529-3532 - [c2]Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende:
On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies. SBIA 2012: 112-121 - 2010
- [c1]Ricardo M. Marcacini, Solange O. Rezende:
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering. SEKE 2010: 553
Coauthor Index
Solange Oliveira Rezende
aka: Solange O. Rezende
aka: Solange O. Rezende
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last updated on 2024-11-28 20:32 CET by the dblp team
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