Ricardo M. Marcacini
Orcid: 0000-0002-2309-3487
According to our database1,
Ricardo M. Marcacini
authored at least 71 papers
between 2010 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2025
Softw. Qual. J., March, 2025
MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Neurocomputing, February, 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators.
J. Interact. Syst., 2024
Inf. Sci., 2024
Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution.
Proceedings of the XXIII Brazilian Symposium on Software Quality, 2024
iRisk: A Scalable Microservice for Classifying Issue Risks Based on Crowdsourced App Reviews.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024
Monitoring Temporal Dynamics of Issues in Crowdsourced User Reviews and their Impact on Mobile App Updates.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024
2023
One-class learning for fake news detection through multimodal variational autoencoders.
Eng. Appl. Artif. Intell., 2023
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person.
CoRR, 2023
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.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
NatUKE: A Benchmark for Natural Product Knowledge Extraction from Academic Literature.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023
Proceedings of the XXXVII Brazilian Symposium on Software Engineering, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
PeerJ Comput. Sci., 2022
Mach. Learn., 2022
Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning.
Inf. Softw. Technol., 2022
Multimodal representation learning over heterogeneous networks for tag-based music retrieval.
Expert Syst. Appl., 2022
CoRR, 2022
Opinion mining for app reviews: an analysis of textual representation and predictive models.
Autom. Softw. Eng., 2022
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Overview of the Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese (S&ER) Shared-tasks at PROPOR 2022.
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), 2022
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings.
Int. J. Bus. Intell. Data Min., 2021
Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers.
IEEE Access, 2021
Multimodal intent classification with incomplete modalities using text embedding propagation.
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.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings.
Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021
RE-BERT: automatic extraction of software requirements from app reviews using BERT language model.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Pattern Recognit. Lett., 2020
Expert Syst. J. Knowl. Eng., 2020
4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
2019
Inf., 2019
Proceedings of the VII Workshop on Software Visualization, Evolution and Maintenance, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Cross-domain aspect extraction for sentiment analysis: A transductive learning approach.
Decis. Support Syst., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the XLIV Latin American Computer Conference, 2018
2017
Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory.
CoRR, 2017
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 21st International Database Engineering & Applications Symposium, 2017
2016
Aspect-based Sentiment Analysis using Semi-supervised Learning in Bipartite Heterogeneous Networks.
J. Inf. Data Manag., 2016
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Pattern Recognit. Lett., 2015
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).
PhD thesis, 2014
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.
Proceedings of the 9th Latin American Web Congress, 2014
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the ACM Symposium on Document Engineering 2013, 2013
2012
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2010
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010