Rafael Geraldeli Rossi

Orcid: 0000-0001-8513-3213

According to our database1, Rafael Geraldeli Rossi authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
One-class learning for fake news detection through multimodal variational autoencoders.
Eng. Appl. Artif. Intell., 2023

2022
A network-based positive and unlabeled learning approach for fake news detection.
Mach. Learn., 2022

Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning.
Inf. Softw. Technol., 2022

2021
A graph-based approach for positive and unlabeled learning.
Inf. Sci., 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

A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
A two-stage regularization framework for heterogeneous event networks.
Pattern Recognit. Lett., 2020

2019
Knowledge-enhanced document embeddings for text classification.
Knowl. Based Syst., 2019

2018
Cross-domain aspect extraction for sentiment analysis: A transductive learning approach.
Decis. Support Syst., 2018

2017
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs.
Pattern Recognit. Lett., 2017

Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization.
Knowl. Based Syst., 2017

Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data.
Intell. Data Anal., 2017

Transductive Event Classification through Heterogeneous Networks.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
Aspect-based Sentiment Analysis using Semi-supervised Learning in Bipartite Heterogeneous Networks.
J. Inf. Data Manag., 2016

Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts.
Inf. Process. Manag., 2016

Semantic role-based representations in text classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Text automatic classification through machine learning based on networks.
PhD thesis, 2015

Term Network Approach for Transductive Classification.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network.
J. Comput. Sci. Technol., 2014

A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification.
Proceedings of the Symposium on Applied Computing, 2014

Identification of Brazilian Portuguese Causative Verbs through a Weighted Graph Classification Strategy.
Proceedings of the Computational Processing of the Portuguese Language, 2014

Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

2012
Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Building a topic hierarchy using the bag-of-related-words representation.
Proceedings of the 2011 ACM Symposium on Document Engineering, 2011

2010
MMWA-ae: boosting knowledge from Multimodal Interface Design, Reuse and Usability Evaluation.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010


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