Solange Oliveira Rezende

Orcid: 0000-0002-5233-7639

According to our database1, Solange Oliveira Rezende authored at least 115 papers between 1999 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

2022
Recommendation of Project Management Practices: A Contribution to Hybrid Models.
IEEE Trans. Engineering Management, 2022

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

Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers.
IEEE Access, 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
Automatic identification of knowledge related to dengue cases in the state of Piauí in public databases using Filtered-Association Rules Networks.
RITA, 2020

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

A context-aware recommender method based on text and opinion mining.
Expert Syst. J. Knowl. Eng., 2020

Dropout through Extended Association Rule Netwoks: A Complementary View.
Proceedings of the 12th International Conference on Computer Supported Education, 2020

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

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review.
Inf., 2019

A New Statistical and Verbal-Semantic Approach to Pattern Extraction in Text Mining Applications.
CLEI Electron. J., 2019

Filtered-ARN: Asymmetric objective measures applied to filter Association Rules Networks.
CLEI Electron. J., 2019

Analysis of green manure decomposition parameters in northeast Brazil using association rule networks.
Comput. Electron. Agric., 2019

BULNER: BUg Localization with word embeddings and NEtwork Regularization.
Proceedings of the VII Workshop on Software Visualization, Evolution and Maintenance, 2019

A Context-Aware Recommender Method Based on Text Mining.
Proceedings of the Progress in Artificial Intelligence, 2019

Sentiment classification improvement using semantically enriched information.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019

Improving Recommendations by Using a Heterogeneous Network and User's Reviews.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

A Sampling-Based Framework for Transductive Classification in Information Networks.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Latent association rule cluster based model to extract topics for classification and recommendation applications.
Expert Syst. Appl., 2018

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

An experimental comparison of label selection methods for hierarchical document clusters.
CoRR, 2018

Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Exploring Musical Relations Using Association Rule Networks.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Semantic Approach to Uncovering Implicit Relationships in Textual Databases.
Proceedings of the XLIV Latin American Computer Conference, 2018

Agribusiness Time Series Forecasting using Perceptually Important Events.
Proceedings of the XLIV Latin American Computer Conference, 2018

Asymmetric Objective Measures Applied to Filter Association Rules Networks.
Proceedings of the XLIV Latin American Computer Conference, 2018

Exploring the Data Using Extended Association Rule Network.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

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

Text mining and semantics: a systematic mapping study.
J. Braz. Comput. Soc., 2017

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

Evaluation of latent dirichlet allocation for document organization in different levels of semantic complexity.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Mineração de Textos para Gestão de Clientes em Empresas de Telecomunicações.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Mineração de Textos para Apoiar a Predição de Severidade de Relatórios de Incidentes: um Estudo de Viabilidade.
Proceedings of the 16th Brazilian Symposium on Software Quality, 2017

Ranking Association Rules by Clustering Through Interestingness.
Proceedings of the Advances in Soft Computing, 2017

On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

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

Mining unstructured content for recommender systems: an ensemble approach.
Inf. Retr. J., 2016

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

Privileged contextual information for context-aware recommender systems.
Expert Syst. Appl., 2016

PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese.
CoRR, 2016

Opinion-meter: A Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Post-processing Association Rules: A Network Based Label Propagation Approach.
Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016

Solving the Problem of Selecting Suitable Objective Measures by Clustering Association Rules Through the Measures Themselves.
Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016

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

Flexible document organization by mixing fuzzy and possibilistic clustering algorithms.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Metrics for Association Rule Clustering Assessment.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Interactive textual feature selection for consensus clustering.
Pattern Recognit. Lett., 2015

Combining Privileged Information to Improve Context-Aware Recommender Systems.
CoRR, 2015

A Platform for the Recommendation of Points of Interest in Brazilian Cities: Architecture and Case Study.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

Applying multi-view based metadata in personalized ranking for recommender systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Flexible document organization: Comparing fuzzy and possibilistic approaches.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

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

2014
Unsupervised Instance Selection from Text Streams.
J. Inf. Data Manag., 2014

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

A data warehouse to support web site automation.
J. Braz. Comput. Soc., 2014

A survey of automatic term extraction for Brazilian Portuguese.
J. Braz. Comput. Soc., 2014

Generating Recommendations Based on Robust Term Extraction from Users' Reviews.
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 2014

Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness.
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

Exploiting Text Mining Techniques for Contextual Recommendations.
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

Improving Personalized Ranking in Recommender Systems with Multimodal Interactions.
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 parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification.
Proceedings of the Symposium on Applied Computing, 2014

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

Named entities as privileged information for hierarchical text clustering.
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

Post-Processing Association Rules Using Networks and Transductive Learning.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Semi-Supervised Learning to Support the Exploration of Association Rules.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Improving consensus clustering of texts using interactive feature selection.
Proceedings of the 22nd International World Wide Web Conference, 2013

Comparing relational and non-relational algorithms for clustering propositional data.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Influence of Graph Construction on Semi-supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Subjective Evaluation of Labeling Methods for Association Rule Clustering.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Exploration of a Rich Feature Set for Automatic Term Extraction.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013

Incremental hierarchical text clustering with privileged information.
Proceedings of the ACM Symposium on Document Engineering 2013, 2013

Metrics to Support the Evaluation of Association Rule Clustering.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

The Impact of Context-Aware Recommender Systems on Music in the Long Tail.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Improving hierarchical document cluster labels through candidate term selection.
Intell. Decis. Technol., 2012

Reducing the dimensionality of the SIFT descriptor and increasing its effectiveness and efficiency in image retrieval via bag-of-features.
Proceedings of the Brazilian Symposium on Multimedia and the Web, 2012

On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

Hierarchical confidence-based active clustering.
Proceedings of the ACM Symposium on Applied Computing, 2012

Fuzzy cluster descriptors improve flexible organization of documents.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

An active learning approach to frequent itemset-based text clustering.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Labeling Methods for Association Rule Clustering.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012

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

Evaluation of Normalization Techniques in Text Classification for Portuguese.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Using Taxonomies to Facilitate the Analysis of the Association Rules
CoRR, 2011

Experiments on Term Extraction using Noun Phrase Subclassifications.
Proceedings of the Recent Advances in Natural Language Processing, 2011

PAR-COM: A New Methodology for Post-processing Association Rules.
Proceedings of the Enterprise Information Systems - 13th International Conference, 2011

Post-processing Association Association Rules with Clustering and Objective Measures.
Proceedings of the ICEIS 2011, 2011

Fuzzy cluster descriptor extraction for flexible organization of documents.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 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

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

Selecting Candidate Labels for Hierarchical Document Clusters Using Association Rules.
Proceedings of the Advances in Soft Computing, 2010

On the use of fuzzy rules to text document classification.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

2009
Evaluating Generalized Association Rules Combining Objective and Subjective Measures and Visualization.
Proceedings of the ICEIS 2009, 2009

2008
Including the user in the knowledge discovery loop: interactive itemset-driven rule extraction.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Obtaining and Evaluating Generalized Association Rules.
Proceedings of the ICEIS 2007, 2007

An Analytical Evaluation of Objective Measures Behavior for Generalized Association Rules.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Evaluating generalized association rules through objective measures.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
A methodology for identifying interesting association rules by combining objective and subjective measures.
Inteligencia Artif., 2006

2004
Combining Intelligent Techniques for Sensor Fusion.
Appl. Intell., 2004

Combining Quality Measures to Identify Interesting Association Rules.
Proceedings of the Advances in Artificial Intelligence, 2004

2000
Transforming a Regression Problem into a Classification Problem using Hybrid Discretization.
Computación y Sistemas, 2000

Pós-processamento de Conhecimento para Problemas de Regressão em Data Mining.
Proceedings of the International Joint Conference, 2000

1999
Applying neural networks to determine vibration parameters in a turbine.
Proceedings of the International Joint Conference Neural Networks, 1999


  Loading...