Search Results - "Lopes, Alneu de Andrade"

Dynamic Bayesian Network Modeling, Learning, and Inference: A Survey by Shiguihara, Pedro, Lopes, Alneu De Andrade, Mauricio, David

“…Since the introduction of Dynamic Bayesian Networks (DBNs), their efficiency and effectiveness have increased through the development of three significant…”
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Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network by Rossi, Rafael Geraldeli, de Andrade Lopes, Alneu, de Paulo Faleiros, Thiago, Rezende, Solange Oliveira

“…Algorithms for numeric data classification have been applied for text classification. Usually the vector space model is used to represent text collections. The…”
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Exploiting behaviors of communities of twitter users for link prediction by Valverde-Rebaza, Jorge, de Andrade Lopes, Alneu

“…Currently, online social networks and social media have become increasingly popular showing an exponential growth. This fact have attracted increasing research…”
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A benchmarking tool for the generation of bipartite network models with overlapping communities by Valejo, Alan, Góes, Fabiana, Romanetto, Luzia, Ferreira de Oliveira, Maria Cristina, de Andrade Lopes, Alneu

“…Many real-world networks display hidden community structures with important potential implications in their dynamics. Many algorithms highly relevant to…”
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Multidimensional Projections for Visual Analysis of Social Networks by Martins, Rafael Messias, Andery, Gabriel Faria, Heberle, Henry, Paulovich, Fernando Vieira, de Andrade Lopes, Alneu, Pedrini, Helio, Minghim, Rosane

“…Visual analysis of social networks is usually based on graph drawing algorithms and tools. However, social networks are a special kind of graph in the sense…”
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A survey of the applications of Bayesian networks in agriculture by Drury, Brett, Valverde-Rebaza, Jorge, Moura, Maria-Fernanda, de Andrade Lopes, Alneu

“…The application of machine learning to agriculture is currently experiencing a “surge of interest” from the academic community as well as practitioners from…”
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A graph-based approach for positive and unlabeled learning by Carnevali, Julio César, Geraldeli Rossi, Rafael, Milios, Evangelos, de Andrade Lopes, Alneu

“…•Proposal of a graph-based method for Positive and Unlabeled Learning that uses graph-based strategies in all steps.•Effectively use of unlabeled documents to…”
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Local-entity resolution for building location-based social networks by using stay points by Minatel, Diego, Ferreira, Vinícius, de Andrade Lopes, Alneu

“…The quality of a location-based social network (LBSN) is mainly related to the granularity of information on the users' location. When LBSN is built using stay…”
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The role of location and social strength for friendship prediction in location-based social networks by Valverde-Rebaza, Jorge C., Roche, Mathieu, Poncelet, Pascal, Lopes, Alneu de Andrade

“…•A taxonomy for friendship prediction methods for location-based social networks is proposed.•Five new methods for friendship prediction in location-based…”
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Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts by Rossi, Rafael Geraldeli, Lopes, Alneu de Andrade, Rezende, Solange Oliveira

“…•Scalable algorithm based on bipartite networks to perform transduction.•Unlabeled data effectively employed to improve classification performance.•Better…”
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A survey of semantic web technology for agriculture by Drury, Brett, Fernandes, Robson, Moura, Maria-Fernanda, de Andrade Lopes, Alneu

“…Semantic web technologies have become a popular technique to apply meaning to unstructured data. They have been infrequently applied to problems within the…”
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RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning by Berton, Lilian, de Paulo Faleiros, Thiago, Valejo, Alan, Valverde-Rebaza, Jorge, de Andrade Lopes, Alneu

“…Graph-based semi-supervised learning (SSL) provides a powerful framework for the modeling of manifold structures in high-dimensional spaces. Additionally,…”
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Fairness-Aware Model Selection Using Differential Item Functioning by Minatel, Diego, Parmezan, Antonio R. S., Curi, Mariana, De Andrade Lopes, Alneu

“…Differential Item Functioning (DIF) is a powerful tool for developing fairer tests and mitigating bias in applicant selection tests. DIF aims to detect items…”
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Graph-based measures to assist user assessment of multidimensional projections by Motta, Robson, Minghim, Rosane, de Andrade Lopes, Alneu, F. Oliveira, Maria Cristina

“…Multidimensional projections are valuable tools to generate visualizations that support exploratory analysis of a wide variety of complex high-dimensional…”
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Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs by de Paulo Faleiros, Thiago, Geraldeli Rossi, Rafael, de Andrade Lopes, Alneu

“…•Scalable algorithm based on bipartite graphs to perform transduction learning.•Label propagation procedure that uses class information associated with…”
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Graph Construction Based on Labeled Instances for Semi-supervised Learning by Berton, Lilian, De Andrade Lopes, Alneu

“…Semi-Supervised Learning (SSL) techniques have become very relevant since they require a small set of labeled data. In this context, graph-based algorithms…”
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Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization by Geraldeli Rossi, Rafael, Andrade Lopes, Alneu de, Oliveira Rezende, Solange

“…Due to the volume of texts available in digital form, the organization, management and knowledge extraction are laborious and frequently impossible to be…”
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Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks by Valejo, Alan Demétrius Baria, Fabbri, Renato, de Andrade Lopes, Alneu, Zhao, Liang, de Oliveira, Maria Cristina Ferreira

“…Bipartite networks are pervasive in modeling real-world phenomena and play a fundamental role in graph theory. Interactive exploratory visualization of such…”
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Partially labeled data stream classification with the semi-supervised K-associated graph by Bertini, João Roberto, Lopes, Alneu de Andrade, Zhao, Liang

“…Regular data classification techniques are based mainly on two strong assumptions: (1) the existence of a reasonably large labeled set of data to be used in…”
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Structural link prediction using community information on Twitter by Valverde-Rebaza, J., de Andrade Lopes, A.

“…Currently, social networks and social media have attracted increasing research interest. In this context, link prediction is one of the most important tasks…”
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