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Using unsupervised information to improve semi-supervised tweet sentiment classification

Information sciences, 2016-08, Vol.355-356, p.348-365

2016

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Tweet sentiment analysis with classifier ensembles

Decision Support Systems, 2014-10, Vol.66, p.170-179

2014

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Bayesian Classifiers Applied to the Tennessee Eastman Process

Risk analysis, 2014-03, Vol.34 (3), p.485-497

2014

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Bayesian networks for imputation in classification problems

Journal of intelligent information systems, 2007-12, Vol.29 (3), p.231-252

2007

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Crowd-Powered Systems to Diminish the Effects of Semantic Drift

Hybrid Artificial Intelligent Systems, p.697-709

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Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop

Engineering applications of artificial intelligence, 2009-06, Vol.22 (4), p.579-592

2009

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On the influence of imputation in classification: practical issues

Journal of experimental & theoretical artificial intelligence, 2009-03, Vol.21 (1), p.43-58

2009

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Bayesian network classifiers: Beyond classification accuracy

Intelligent data analysis, 2011-01, Vol.15 (3), p.279-298

2011

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Coupled semi-supervised learning for information extraction

Proceedings of the third ACM international conference on Web search and data mining, 2010, p.101-110

2010

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Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach

AI 2004: Advances in Artificial Intelligence, 2004, Vol.3339, p.513-525

2004

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Missing Values Imputation for a Clustering Genetic Algorithm

Advances in Natural Computation, 2005, p.245-254

2005

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Editorial

Web semantics, 2015-12, Vol.35, p.63

2015

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PII: S1570-8268(15)00091-8

Web semantics, 2015-12, Vol.35, p.63-63

2015

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Lifelong Machine Learning and Computer Reading the Web

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016, p.2117-2118

2016

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Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values

AI 2003: Advances in Artificial Intelligence, 2003, p.723-734

2003

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AN OPTIMIZED EVOLUTIONARY CONDITIONAL INDEPENDENCE BAYESIAN CLASSIFIER INDUCTION PROCESS

Neural network world, 2007-01, Vol.17 (6), p.555

2007

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How to read the web in portuguese using the never-ending language learner's principles

2014 14th International Conference on Intelligent Systems Design and Applications, 2014, p.162-167

2014

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Fast Conditional Independence-based Bayesian Classifier

Journal of computing science and engineering : JCSE, 2007, Vol.1 (2), p.162-176

2007

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Contradiction Detection and Ontology Extension in a Never-Ending Learning System

Advances in Artificial Intelligence – IBERAMIA 2012, p.1-10

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Missing values prediction with K2

Intelligent data analysis, 2002, Vol.6 (6), p.557-566

2002

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Conversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems

Advances in Artificial Intelligence – IBERAMIA 2012, p.231-240

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Feature selection by Bayesian networks

Lecture notes in computer science, 2004, p.370-379

2004

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Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction

Machine Learning and Knowledge Discovery in Databases, p.307-322

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Feature Selection by Bayesian Networks

Advances in Artificial Intelligence, p.370-379

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Autonomously reviewing and validating the knowledge base of a never-ending learning system

Proceedings of the 22nd International Conference on World Wide Web, 2013, p.1195-1204

2013

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Using unsupervised information to improve semi-supervised tweet sentiment classification

Tweet sentiment analysis with classifier ensembles

Bayesian Classifiers Applied to the Tennessee Eastman Process

Bayesian networks for imputation in classification problems

Crowd-Powered Systems to Diminish the Effects of Semantic Drift

Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop

On the influence of imputation in classification: practical issues

Bayesian network classifiers: Beyond classification accuracy

Coupled semi-supervised learning for information extraction

Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach

Missing Values Imputation for a Clustering Genetic Algorithm

Editorial

PII: S1570-8268(15)00091-8

Lifelong Machine Learning and Computer Reading the Web

Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values

AN OPTIMIZED EVOLUTIONARY CONDITIONAL INDEPENDENCE BAYESIAN CLASSIFIER INDUCTION PROCESS

How to read the web in portuguese using the never-ending language learner's principles

Fast Conditional Independence-based Bayesian Classifier

Contradiction Detection and Ontology Extension in a Never-Ending Learning System

Missing values prediction with K2

Conversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems

Feature selection by Bayesian networks

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction

Feature Selection by Bayesian Networks

Autonomously reviewing and validating the knowledge base of a never-ending learning system

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