Alípio Jorge
Alípio Jorge
LIAAD, INESC Porto, DCC, FCUP, university of Porto
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TítuloCitado porAño
Ensemble approaches for regression: A survey
J Mendes-Moreira, C Soares, AM Jorge, JFD Sousa
Acm computing surveys (csur) 45 (1), 10, 2012
Survey of temporal information retrieval and related applications
R Campos, G Dias, AM Jorge, A Jatowt
ACM Computing Surveys (CSUR) 47 (2), 1-41, 2014
Design of an end-to-end method to extract information from tables
AC e Silva, AM Jorge, L Torgo
International Journal of Document Analysis and Recognition (IJDAR) 8 (2-3 …, 2006
Comparing rule measures for predictive association rules
PJ Azevedo, AM Jorge
European Conference on Machine Learning, 510-517, 2007
Fast incremental matrix factorization for recommendation with positive-only feedback
J Vinagre, AM Jorge, J Gama
International Conference on User Modeling, Adaptation, and Personalization …, 2014
Comparing state-of-the-art regression methods for long term travel time prediction
J Mendes-Moreira, AM Jorge, JF de Sousa, C Soares
Intelligent Data Analysis 16 (3), 427-449, 2012
Mining association rules for label ranking
CR De Sá, C Soares, AM Jorge, P Azevedo, J Costa
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 432-443, 2011
Combining usage and content in an online recommendation system for music in the long tail
MA Domingues, F Gouyon, AM Jorge, JP Leal, J Vinagre, L Lemos, ...
International Journal of Multimedia Information Retrieval 2 (1), 3-13, 2013
Hierarchical clustering for thematic browsing and summarization of large sets of association rules
A Jorge
Proceedings of the 2004 SIAM International Conference on Data Mining, 2004
Evaluation of recommender systems in streaming environments
J Vinagre, AM Jorge, J Gama
arXiv preprint arXiv:1504.08175, 2015
Architecture for iterative learning of recursive definitions
A Jorge, P Brazdil
Advances in Inductive Logic Programming 3, 1996
What is the temporal value of web snippets?
R Campos, A Jorge, G Dias
Dimensions as virtual items: Improving the predictive ability of top-n recommender systems
MAL Domingues, APMR Jorge, C Soares
Information Processing & Management 49 (3), 698-720, 2013
Forgetting methods for incremental matrix factorization in recommender systems
P Matuszyk, J Vinagre, M Spiliopoulou, AM Jorge, J Gama
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 947-953, 2015
Distribution rules with numeric attributes of interest
AM Jorge, PJ Azevedo, F Pereira
European Conference on Principles of Data Mining and Knowledge Discovery …, 2006
GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets
R Campos, G Dias, A Jorge, C Nunes
Proceedings of the 21st ACM international conference on Information and …, 2012
Using contextual information as virtual items on top-n recommender systems
MA Domingues, AM Jorge, C Soares
arXiv preprint arXiv:1111.2948, 2011
Incremental collaborative filtering for binary ratings
C Miranda, AM Jorge
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web …, 2008
Forgetting mechanisms for scalable collaborative filtering
J Vinagre, AM Jorge
Journal of the Brazilian Computer Society 18 (4), 271, 2012
An experiment with association rules and classification: Post-bagging and conviction
AM Jorge, PJ Azevedo
International Conference on Discovery Science, 137-149, 2005
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Artículos 1–20