Estevam R. Hruschka Jr.
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
15
Active years
2002–2020
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | KDD | Data-Driven Never-Ending Learning Question Answering Systems. | Estevam R. Hruschka Jr. |
| 2019 | HAIS | Crowd-Powered Systems to Diminish the Effects of Semantic Drift. | Saulo D. de S. Pedro, Estevam R. Hruschka Jr. |
| 2016 | ISDA | Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System. | Edimilson Batista dos Santos, Massilon Loureno Fernandes, Estevam R. Hruschka Jr., Masa Cristina Duarte |
| 2016 | KDD | Lifelong Machine Learning and Computer Reading the Web. | Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu |
| 2015 | AAAI | Never-Ending Learning. | Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling |
| 2014 | HIS | Exploring two views of coreference resolution in a never-ending learning system. | Maisa C. Duarte, Estevam R. Hruschka Jr. |
| 2014 | ISDA | How to read the web in portuguese using the never-ending language learner's principles. | Maisa C. Duarte, Estevam R. Hruschka Jr. |
| 2013 | WWW | Autonomously reviewing and validating the knowledge base of a never-ending learning system. | Saulo D. de S. Pedro, Ana Paula Appel, Estevam R. Hruschka Jr. |
| 2012 | ISDA | Representation and automatic learning of temporal relations between time periods with uncertain boundaries. | Maria C. Nicoletti, Flvia O. Santos de S Lisboa, Estevam R. Hruschka Jr., Osvaldo Luiz De Oliveira |
| 2012 | WWW | Collective intelligence as a source for machine learning self-supervision. | Saulo D. de S. Pedro, Estevam R. Hruschka Jr. |
| 2011 | CEC | Transgenic, an operator for evolutionary algorithms. | Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr. |
| 2011 | EMNLP | Discovering Relations between Noun Categories. | Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2011 | ISDA | Learning Bayesian Network structures using Multiple Offspring Sampling. | Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr. |
| 2010 | AAAI | Toward an Architecture for Never-Ending Language Learning. | Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2010 | CEC | Gene ontology classification: Building high-level knowledge using genetic algorithms. | Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr. |
| 2010 | CEC | A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2010 | ICMLA | Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2010 | ICMLA | Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set. | I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo |
| 2010 | WSDM | Coupled semi-supervised learning for information extraction. | Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2009 | ISDA | The Impact of Pruning BayesFuzzy Rule Set. | I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo |
| 2007 | CEC | Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2007 | DaWaK | A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. | Sebastian D. C. de O. Galvo, Estevam R. Hruschka Jr. |
| 2007 | HIS | Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. | Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Glucia M. Bressan |
| 2007 | HIS | Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach. | Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvo |
| 2007 | ISDA | Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. | Glucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria C. Nicoletti |
| 2007 | ISDA | Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. | Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2007 | ISDA | WNB: A Weighted Nave Bayesian Classifier. | Saul D. de S. S. Pedro, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2007 | ISDA | C-Focus-3: a C-Focus with a New Heuristic Search Strategy. | Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr. |
| 2006 | HIS | Two Variants of the Constructive Neural Network Tiling Algorithm. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer |
| 2006 | HIS | VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr. |
| 2006 | SMC | A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr. |
| 2005 | HIS | Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. | Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2005 | HIS | Initializing an Exemplar Based Learning Process from a RuleNet Network. | Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr. |
| 2005 | ICNC | Missing Values Imputation for a Clustering Genetic Algorithm. | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2005 | SMC | Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. | Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2005 | SGAI | Applying Bayesian Networks for Meteorological Data Mining. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2004 | AI | Feature Selection by Bayesian Networks. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2002 | HIS | A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |