Estevam R. Hruschka Jr.

81 papers A* 5A 1B 8C 19Misc 2Journal 24Unranked 21

Year	Rank	Type	Title / Venue / Authors
2020	A*	`conf`	Data-Driven Never-Ending Learning Question Answering Systems. KDD Estevam R. Hruschka Jr.
2019	—	`conf`	Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System. BRACIS Edimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno
2019	Misc	`conf`	Crowd-Powered Systems to Diminish the Effects of Semantic Drift. HAIS Saulo D. de S. Pedro, Estevam R. Hruschka Jr.
2019	J	`jnl`	Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward. CoRR Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr., André Soares de Moura Costa
2018	—	`conf`	NELL2RDF: Reading the Web, Tracking the Provenance, and Publishing it as Linked Data. CKGSemStats@ISWC José M. Giménez-García, Maísa Cristina Duarte, Antoine Zimmermann, Christophe Gravier, Estevam R. Hruschka Jr., Pierre Maret
2018	J	`jnl`	NELL2RDF: Reading the Web, and Publishing it as Linked Data. CoRR José M. Giménez-García, Maisa C. Duarte, Antoine Zimmermann, Christophe Gravier, Estevam R. Hruschka Jr., Pierre Maret
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt 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
2017	—	`conf`	Merging knowledge bases in different languages. TextGraphs@ACL Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell
2016	C	`conf`	Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System. ISDA Edimilson Batista dos Santos, Massilon Lourenço Fernandes, Estevam R. Hruschka Jr., Maísa Cristina Duarte
2016	—	`conf`	Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases. BRACIS Lucas Fonseca Navarro, Estevam R. Hruschka Jr., Ana Paula Appel
2016	—	`ed.`	Knowledge Extraction from Text, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: Knowledge Extraction from Text Blaz Fortuna, Marko Grobelnik, Estevam R. Hruschka Jr., Michael Witbrock
2016	A*	`conf`	Lifelong Machine Learning and Computer Reading the Web. KDD Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2016	J	`jnl`	Using unsupervised information to improve semi-supervised tweet sentiment classification. Inf. Sci. Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2015	J	`jnl`	Editorial. J. Web Semant. Dunja Mladenic, Estevam R. Hruschka Jr., Marko Grobelnik
2015	A*	`conf`	Never-Ending Learning. AAAI 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	—	`conf`	Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble. SemEval@COLING Nádia Félix F. da Silva, Estevam R. Hruschka Jr., Eduardo R. Hruschka
2014	—	`conf`	Combining Classification and Clustering for Tweet Sentiment Analysis. BRACIS Luiz Fernando Sommaggio Coletta, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2014	C	`conf`	Exploring two views of coreference resolution in a never-ending learning system. HIS Maisa C. Duarte, Estevam R. Hruschka Jr.
2014	C	`conf`	How to read the web in portuguese using the never-ending language learner's principles. ISDA Maisa C. Duarte, Estevam R. Hruschka Jr.
2014	J	`jnl`	The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. Int. J. Hybrid Intell. Syst. Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken
2014	J	`jnl`	Transgenic: An evolutionary algorithm operator. Neurocomputing Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.
2014	J	`jnl`	Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2013	J	`jnl`	Automatic Learning of Temporal Relations Under the Closed World Assumption. Fundam. Informaticae Maria C. Nicoletti, Flávia O. Santos de Sá Lisboa, Estevam R. Hruschka Jr.
2013	—	`conf`	Autonomously reviewing and validating the knowledge base of a never-ending learning system. WWW (Companion Volume) Saulo D. de S. Pedro, Ana Paula Appel, Estevam R. Hruschka Jr.
2013	J	`jnl`	Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments. Fundam. Informaticae Estevam R. Hruschka Jr., Maisa C. Duarte, Maria C. Nicoletti
2012	—	`conf`	Collective intelligence as a source for machine learning self-supervision. WI&C Saulo D. de S. Pedro, Estevam R. Hruschka Jr.
2012	—	`conf`	Contradiction Detection and Ontology Extension in a Never-Ending Learning System. IBERAMIA Vinicius Oliverio, Estevam R. Hruschka Jr.
2012	—	`conf`	Conversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems. IBERAMIA Saulo D. de S. Pedro, Estevam R. Hruschka Jr.
2012	—	`conf`	Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction. ECML/PKDD (2) Saurabh Verma, Estevam R. Hruschka Jr.
2012	C	`conf`	Representation and automatic learning of temporal relations between time periods with uncertain boundaries. ISDA Maria C. Nicoletti, Flávia O. Santos de Sá Lisboa, Estevam R. Hruschka Jr., Osvaldo Luiz De Oliveira
2011	J	`jnl`	A Bayesian imputation method for a clustering genetic algorithm. J. Comput. Methods Sci. Eng. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2011	J	`jnl`	Bayesian network classifiers: Beyond classification accuracy. Intell. Data Anal. Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2011	A*	`conf`	Discovering Relations between Noun Categories. EMNLP Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell
2011	C	`conf`	Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.
2011	—	`conf`	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]. STIL Maísa Cristina Duarte, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2011	B	`conf`	Transgenic, an operator for evolutionary algorithms. IEEE Congress on Evolutionary Computation Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.
2010	B	`conf`	A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2010	—	`conf`	Centaurs - A Component-based Framework to Mine Large Graphs. SBBD (Posters) Ana Paula Appel, Estevam R. Hruschka Jr.
2010	A	`conf`	Coupled semi-supervised learning for information extraction. WSDM Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell
2010	C	`conf`	Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. ICMLA Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2010	B	`conf`	Gene ontology classification: Building high-level knowledge using genetic algorithms. IEEE Congress on Evolutionary Computation Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.
2010	C	`conf`	Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set. ICMLA I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo
2010	A*	`conf`	Toward an Architecture for Never-Ending Language Learning. AAAI Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell
2009	J	`jnl`	On the influence of imputation in classification: practical issues. J. Exp. Theor. Artif. Intell. Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2009	Misc	`conf`	Populating the Semantic Web by Macro-reading Internet Text. ISWC Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang
2009	C	`conf`	The Impact of Pruning BayesFuzzy Rule Set. ISDA I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo
2009	—	`conf`	Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang
2009	J	`jnl`	Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Eng. Appl. Artif. Intell. Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2008	J	`jnl`	Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. J. Univers. Comput. Sci. Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2008	J	`jnl`	BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. Int. J. Hybrid Intell. Syst. Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan
2007	B	`conf`	A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. DaWaK Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.
2007	B	`conf`	BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. FUZZ-IEEE Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti
2007	J	`jnl`	Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2007	C	`conf`	Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. ISDA Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria C. Nicoletti
2007	C	`conf`	C-Focus-3: a C-Focus with a New Heuristic Search Strategy. ISDA Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.
2007	B	`conf`	Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. IEEE Congress on Evolutionary Computation Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007	J	`jnl`	Fast Conditional Independence-based Bayesian Classifier. J. Comput. Sci. Eng. Estevam R. Hruschka Jr., Sebastian D. C. de O. Galvão
2007	—	`conf`	Feature-weighted k-Nearest Neighbor Classifier. FOCI Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
2007	C	`conf`	Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. ISDA Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007	C	`conf`	Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. HIS Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan
2007	J	`jnl`	Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2007	J	`jnl`	Transferring neural network based knowledge into an exemplar-based learner. Neural Comput. Appl. Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
2007	C	`conf`	Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach. HIS Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
2007	C	`conf`	WNB: A Weighted Naïve Bayesian Classifier. ISDA Saul D. de S. S. Pedro, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2006	B	`conf`	A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. SMC João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.
2006	J	`jnl`	Bayesian Feature Selection for Clustering Problems. J. Inf. Knowl. Manag. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken
2006	C	`conf`	Two Variants of the Constructive Neural Network Tiling Algorithm. HIS João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer
2006	C	`conf`	VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. HIS Edimilson Batista dos Santos, Estevam R. Hruschka Jr.
2005	—	`conf`	Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. (Applications) Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2005	C	`conf`	Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. HIS Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2005	C	`conf`	Initializing an Exemplar Based Learning Process from a RuleNet Network. HIS Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
2005	—	`conf`	Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2005	B	`conf`	Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. SMC Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2004	—	`conf`	Feature Selection by Bayesian Networks. Canadian AI Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2004	—	`conf`	Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. Australian Conference on Artificial Intelligence Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2003	J	`jnl`	A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. Appl. Artif. Intell. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2003	—	`conf`	A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. SBBD Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2003	—	`conf`	Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. Australian Conference on Artificial Intelligence Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2002	C	`conf`	A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2002	J	`jnl`	Missing values prediction with K2. Intell. Data Anal. Estevam R. Hruschka Jr., Nelson F. F. Ebecken