Estevam R. Hruschka Jr.

According to our database1, Estevam R. Hruschka Jr. authored at least 82 papers between 2002 and 2018.

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

Timeline

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Bibliography

2018
Never-ending learning.
Commun. ACM, 2018

Eliminating Redundant and Irrelevant Association Rules in Large Knowledge Bases.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

2017
Merging knowledge bases in different languages.
Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017

Correcting Inconsistencies through Association Rules in Temporal Large Growing Knowledge Bases.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Using unsupervised information to improve semi-supervised tweet sentiment classification.
Inf. Sci., 2016

Ontological Networks: Mapping Ontological Knowledge Bases into Graphs.
Proceedings of the 25th International Conference on World Wide Web, 2016

Lifelong Machine Learning and Computer Reading the Web.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Cognitive Conversation Language - CCL.
Proceedings of the Intelligent Systems Design and Applications, 2016

Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System.
Proceedings of the Intelligent Systems Design and Applications, 2016

Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

2014
Transgenic: An evolutionary algorithm operator.
Neurocomputing, 2014

The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst., 2014

Tweet sentiment analysis with classifier ensembles.
Decision Support Systems, 2014

Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

How to read the web in portuguese using the never-ending language learner's principles.
Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Analyzing the use of obvious and generalized association rules in a large knowledge base.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Exploring two views of coreference resolution in a never-ending learning system.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Never-ending ontology extension through machine reading.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Combining Classification and Clustering for Tweet Sentiment Analysis.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Automatic Learning of Temporal Relations Under the Closed World Assumption.
Fundam. Inform., 2013

Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments.
Fundam. Inform., 2013

The construction of causal networks to estimate coral bleaching intensity.
Environmental Modelling and Software, 2013

Autonomously reviewing and validating the knowledge base of a never-ending learning system.
Proceedings of the 22nd International World Wide Web Conference, 2013

GraphDB - Storing Large Graphs on Secondary Memory.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Collective intelligence as a source for machine learning self-supervision.
Proceedings of the International Workshop on Web Intelligence & Communities, 2012

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Representation and automatic learning of temporal relations between time periods with uncertain boundaries.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Conversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Contradiction Detection and Ontology Extension in a Never-Ending Learning System.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Never-ending learning principles in gene ontology classification using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Bayesian imputation method for a clustering genetic algorithm.
J. Comput. Meth. in Science and Engineering, 2011

Bayesian network classifiers: Beyond classification accuracy.
Intell. Data Anal., 2011

Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim (Minimizing the Impact of the Concept Drift Problem by Using a Framework of Endless Learning) [in Portuguese].
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology, 2011

Learning Bayesian Network structures using Multiple Offspring Sampling.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Prophet - A Link-Predictor to Learn New Rules on NELL.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Discovering Relations between Noun Categories.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Transgenic, an operator for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Coupled semi-supervised learning for information extraction.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Centaurs - A Component-based Framework to Mine Large Graphs.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010

Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Gene ontology classification: Building high-level knowledge using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Toward an Architecture for Never-Ending Language Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
On the influence of imputation in classification: practical issues.
J. Exp. Theor. Artif. Intell., 2009

Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop.
Eng. Appl. of AI, 2009

Populating the Semantic Web by Macro-reading Internet Text.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

The Impact of Pruning BayesFuzzy Rule Set.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Toward Never Ending Language Learning.
Proceedings of the Learning by Reading and Learning to Read, 2009

2008
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. UCS, 2008

BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers.
Int. J. Hybrid Intell. Syst., 2008

2007
Transferring neural network based knowledge into an exemplar-based learner.
Neural Computing and Applications, 2007

Bayesian networks for imputation in classification problems.
J. Intell. Inf. Syst., 2007

Fast Conditional Independence-based Bayesian Classifier.
JCSE, 2007

Towards efficient variables ordering for Bayesian networks classifier.
Data Knowl. Eng., 2007

C-Focus-3: a C-Focus with a New Heuristic Search Strategy.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

WNB: A Weighted Naïve Bayesian Classifier.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007

Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007

BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base.
Proceedings of the FUZZ-IEEE 2007, 2007

Feature-weighted k-Nearest Neighbor Classifier.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Bayesian Feature Selection for Clustering Problems.
JIKM, 2006

A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms.
Proceedings of the IEEE International Conference on Systems, 2006

VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

Two Variants of the Constructive Neural Network Tiling Algorithm.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005
Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods.
Proceedings of the IEEE International Conference on Systems, 2005

Applying Bayesian Networks for Meteorological Data Mining.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

Missing Values Imputation for a Clustering Genetic Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Initializing an Exemplar Based Learning Process from a RuleNet Network.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Feature Selection by Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.
Applied Artificial Intelligence, 2003

A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Missing values prediction with K2.
Intell. Data Anal., 2002

A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002


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