Alneu de Andrade Lopes

Orcid: 0000-0003-3112-4746

Affiliations:
  • University of Sao Paulo, Brazil


According to our database1, Alneu de Andrade Lopes authored at least 85 papers between 1998 and 2023.

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

Timeline

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Bibliography

2023
Unfairness in Machine Learning for Web Systems Applications.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Fairness-Aware Model Selection Using Differential Item Functioning.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks.
Frontiers Res. Metrics Anal., July, 2022

A survey of the extraction and applications of causal relations.
Nat. Lang. Eng., 2022

2021
Local-entity resolution for building location-based social networks by using stay points.
Theor. Comput. Sci., 2021

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

A Critical Survey of the Multilevel Method in Complex Networks.
ACM Comput. Surv., 2021

Dynamic Bayesian Network Modeling, Learning, and Inference: A Survey.
IEEE Access, 2021

2020
A coarsening method for bipartite networks via weight-constrained label propagation.
Knowl. Based Syst., 2020

A benchmarking tool for the generation of bipartite network models with overlapping communities.
Knowl. Inf. Syst., 2020

Unsupervised learning of textual pattern based on Propagation in Bipartite Graph.
Intell. Data Anal., 2020

Visualization to Assist Interpretation of the Multilevel Paradigm in Bipartite Graphs.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

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

A Multilevel Approach for Building Location-Based Social Network by using Stay Points.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

A Scalability Approach Based on Multilevel Optimization for Link Prediction Methods.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Multilevel approach for combinatorial optimization in bipartite network.
Knowl. Based Syst., 2018

Word sense disambiguation: A complex network approach.
Inf. Sci., 2018

The role of location and social strength for friendship prediction in location-based social networks.
Inf. Process. Manag., 2018

A Comparison of Graph Construction Methods for Semi-Supervised Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Trajectory Network Assessment Based on Analysis of Stay Points Cluster.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

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

BrAgriNews: Um Corpus Temporal-Causal (Português-Brasileiro) para a Agricultura.
Linguamática, 2017

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

RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning.
Neurocomputing, 2017

A survey of the applications of Bayesian networks in agriculture.
Eng. Appl. Artif. Intell., 2017

Community Detection in Bipartite Network: A Modified Coarsening Approach.
Proceedings of the Information Management and Big Data, 2017

One-mode Projection-based Multilevel Approach for Community Detection in Bipartite Networks.
Proceedings of the 4th Annual International Symposium on Information Management and Big Data, 2017

Reconstructing Pedestrian Trajectories from Partial Observations in the Urban Context.
Proceedings of the Information Management and Big Data, 2017

Reconstructing Uncertain Pedestrian Trajectories From Low-Sampling-Rate Observations.
Proceedings of the 4th Annual International Symposium on Information Management and Big Data, 2017

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

Word sense disambiguation via bipartite representation of complex networks.
CoRR, 2016

Neighborhood graph construction for semi-supervised learning.
AI Matters, 2016

Network Sampling Based on Centrality Measures for Relational Classification.
Proceedings of the Information Management and Big Data, 2016

The Impact of Network Sampling on Relational Classification.
Proceedings of the 3rd Annual International Symposium on Information Management and Big Data, 2016

The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

Exploiting social and mobility patterns for friendship prediction in location-based social networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Graph-based measures to assist user assessment of multidimensional projections.
Neurocomputing, 2015

Causation Generalization Through the Identification of Equivalent Nodes in Causal Sparse Graphs Constructed from Text using Node Similarity Strategies.
Proceedings of the 2nd Annual International Symposium on Information Management and Big Data, 2015

A naïve Bayes model based on ovelapping groups for link prediction in online social networks.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Link prediction in graph construction for supervised and semi-supervised learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Influence Maximization Based on the Least Influential Spreaders.
Proceedings of the 1st International Workshop on Social Influence Analysis, 2015

Bipartite Graph for Topic Extraction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Graph Construction for Semi-Supervised Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 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

Network-based data classification: combining K-associated optimal graphs and high-level prediction.
J. Braz. Comput. Soc., 2014

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

Identification of Related Brazilian Portuguese Verb Groups Using Overlapping Community Detection.
Proceedings of the Computational Processing of the Portuguese Language, 2014

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

An Open Source Tool for Crowd-Sourcing the Manual Annotation of Texts.
Proceedings of the Computational Processing of the Portuguese Language, 2014

Multilevel refinement based on neighborhood similarity.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Graph Construction Based on Labeled Instances for Semi-supervised Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Link Prediction in Online Social Networks Using Group Information.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Music Genre Classification Using Traditional and Relational Approaches.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

A Multilevel Approach for Overlapping Community Detection.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Exploiting behaviors of communities of twitter users for link prediction.
Soc. Netw. Anal. Min., 2013

An incremental learning algorithm based on the K-associated graph for non-stationary data classification.
Inf. Sci., 2013

Performing edge detection by difference of Gaussians using q-Gaussian kernels.
CoRR, 2013

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

Data visualization and relevance feedback applied to information retrieval.
Proceedings of the Sixth Workshop on Ph.D. Students in Information and Knowledge Management, 2013

Learning Bayesian Network Using Parse Trees for Extraction of Protein-Protein Interaction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

2012
Multidimensional Projections for Visual Analysis of Social Networks.
J. Comput. Sci. Technol., 2012

Partially labeled data stream classification with the semi-supervised K-associated graph.
J. Braz. Comput. Soc., 2012

Link Prediction in Complex Networks Based on Cluster Information.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

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

Structural link prediction using community information on Twitter.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

Graph-based cross-validated committees ensembles.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

Informativity-based graph: Exploring mutual kNN and labeled vertices for semi-supervised learning.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2011
A nonparametric classification method based on K-associated graphs.
Inf. Sci., 2011

2010
An incremental space to visualize dynamic data sets.
Multim. Tools Appl., 2010

Combining Local and Global KNN With Cotraining.
Proceedings of the ECAI 2010, 2010

2009
Incremental board: a grid-based space for visualizing dynamic data sets.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Centrality Measures from Complex Networks in Active Learning.
Proceedings of the Discovery Science, 12th International Conference, 2009

Classification Based on the Optimal K-Associated Network.
Proceedings of the Complex Sciences, 2009

2007
Visual text mining using association rules.
Comput. Graph., 2007

2006
Content-based text mapping using multi-dimensional projections for exploration of document collections.
Proceedings of the Visualization and Data Analysis 2006, 2006

Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections.
Proceedings of the Visualization and Data Analysis 2006, 2006

2005
Efficient Identification of Duplicate Bibliographical References.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005

2000
Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift.
Proceedings of the Advances in Artificial Intelligence, 2000

Combining Rule-Based and Case-Based Learning for Iterative Part-of-Speech Tagging.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999
Iterative Part-of-Speech Tagging.
Proceedings of the Learning Language in Logic, 1999

1998
Redundant Covering with Global Evaluation in the RC1 Inductive Learner.
Proceedings of the Advances in Artificial Intelligence, 1998


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