Estevam Hruschka
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Cited by
Toward an architecture for never-ending language learning
A Carlson, J Betteridge, B Kisiel, B Settles, ER Hruschka, TM Mitchell
Twenty-Fourth AAAI conference on artificial intelligence, 2010
Never-ending learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ...
Communications of the ACM 61 (5), 103-115, 2018
Coupled semi-supervised learning for information extraction
A Carlson, J Betteridge, RC Wang, ER Hruschka Jr, TM Mitchell
Proceedings of the third ACM international conference on Web search and data …, 2010
Tweet sentiment analysis with classifier ensembles
NFF Da Silva, ER Hruschka, ER Hruschka Jr
Decision support systems 66, 170-179, 2014
ERH Jr., and TM Mitchell. Toward an architecture for never-ending language learning
A Carlson, J Betteridge, B Kisiel, B Settles
AAAI 2 (3), 6, 2010
Discovering Relations between Noun Categories
TP Mohamed, ER Hruschka Jr, TM Mitchell
Conference on Empirical Methods in Natural Language Processing - EMNLP, 2011
Coupling semi-supervised learning of categories and relations
A Carlson, J Betteridge, ER Hruschka Jr, TM Mitchell
Proceedings of the NAACL HLT 2009 Workshop on Semi-supervised Learning for …, 2009
Combining Classification and Clustering for Tweet Sentiment Analysis
LFS Coletta, NFF da Silva, ER Hruschka, ER Hruschka Jr
2014 Brazilian Conference on Intelligent Systems (BRACIS), 2014
Bayesian networks for imputation in classification problems
ER Hruschka, ER Hruschka, NFF Ebecken
Journal of Intelligent Information Systems 29 (3), 231-252, 2007
Using unsupervised information to improve semi-supervised tweet sentiment classification
NFF da Silva, LFS Coletta, ER Hruschka, ER Hruschka Jr
Information Sciences 355, 348-365, 2016
Populating the semantic web by macro-reading internet text
TM Mitchell, J Betteridge, A Carlson, E Hruschka, R Wang
International Semantic Web Conference, 998-1002, 2009
Towards efficient variables ordering for Bayesian networks classifier
ER Hruschka Jr, NFF Ebecken
Data & Knowledge Engineering 63 (2), 258-269, 2007
Toward never ending language learning.
J Betteridge, A Carlson, SA Hong, ER Hruschka Jr, ELM Law, TM Mitchell, ...
AAAI spring symposium: Learning by reading and learning to read, 1-2, 2009
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
GM Bressan, VA Oliveira, ER Hruschka Jr, MC Nicoletti
Engineering Applications of Artificial Intelligence 22 (4-5), 579-592, 2009
Feature selection by Bayesian networks
ER Hruschka, ER Hruschka, NFF Ebecken
Conference of the Canadian Society for Computational Studies of Intelligence …, 2004
Evaluating a nearest-neighbor method to substitute continuous missing values
ER Hruschka, ERH Jr, NFF Ebecken
AI 2003: Advances in Artificial Intelligence, 723-734, 2003
Feature-weighted k-nearest neighbor classifier
DP Vivencio, ER Hruschka Jr., MC Nicoletti, EB Santos, SDO Galvao
2007 IEEE Symposium on Foundations of Computational Intelligence, 481-486, 2007
Towards efficient imputation by nearest-neighbors: A clustering-based approach
ER Hruschka, ER Hruschka, NFF Ebecken
Australasian Joint Conference on Artificial Intelligence, 513-525, 2004
Prophet--a link-predictor to learn new rules on nell
AP Appel, ERH Junior
2011 IEEE 11th International Conference on Data Mining Workshops, 917-924, 2011
Conversing learning: Active learning and active social interaction for human supervision in never-ending learning systems
SDS Pedro, ER Hruschka
Ibero-American Conference on Artificial Intelligence, 231-240, 2012
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