Kate Revoredo
Kate Revoredo
Professor at Department of Applied Informatics, Federal University of the State of Rio de Janeiro (UNIRIO)
Verified email at uniriotec.br
TitleCited byYear
A method for service identification from business process models in a SOA approach
LG Azevedo, F Santoro, F Baião, J Souza, K Revoredo, V Pereira, ...
Enterprise, Business-Process and Information Systems Modeling, 99-112, 2009
Compressing probabilistic Prolog programs
L De Raedt, K Kersting, A Kimmig, K Revoredo, H Toivonen
Machine Learning 70 (2-3), 151-168, 2008
A formal representation for context-aware business processes
T da Cunha Mattos, FM Santoro, K Revoredo, VT Nunes
Computers in Industry 65 (8), 1193-1214, 2014
Learning probabilistic description logics: A framework and algorithms
JE Ochoa-Luna, K Revoredo, FG Cozman
Mexican International Conference on Artificial Intelligence, 28-39, 2011
Identificação de serviços a partir da modelagem de processos de negócio
LG Azevedo, F Baião, F Santoro, J Souza, K Revoredo, V Pereira, ...
Anais do V Simpósio Brasileiro de Sistemas de Informação, 133-144, 2009
Probabilistic first-order theory revision from examples
A Paes, K Revoredo, G Zaverucha, VS Costa
International Conference on Inductive Logic Programming, 295-311, 2005
An experiment on process model understandability using textual work instructions and BPMN models
RDA Rodrigues, MDO Barros, K Revoredo, LG Azevedo, H Leopold
2015 29th Brazilian Symposium on Software Engineering, 41-50, 2015
Formalizing the situation of a business process activity
T da Cunha Mattos, FM Santoro, K Revoredo, VT Nunes
Proceedings of the 2012 IEEE 16th International Conference on Computer …, 2012
ALIN results for OAEI 2017.
J da Silva, FA Baiao, K Revoredo
OM@ ISWC, 114-121, 2017
A method to infer the need to update situations in business process adaptation
JE Santo Carvalho, FM Santoro, K Revoredo
Computers in Industry 71, 128-143, 2015
Assessment of ADHD through a computer game: an experiment with a sample of students
FEG Santos, APZ Bastos, LCV Andrade, K Revoredo, P Mattos
2011 Third International Conference on Games and Virtual Worlds for Serious …, 2011
Learning well-founded ontologies through word sense disambiguation
F Leão, K Revoredo, F Baião
2013 Brazilian Conference on Intelligent Systems, 195-200, 2013
Revision of first-order Bayesian classifiers
K Revoredo, G Zaverucha
International Conference on Inductive Logic Programming, 223-237, 2002
Learning terminologies in probabilistic description logics
K Revoredo, JE Ochoa-Luna, FG Cozman
Brazilian Symposium on Artificial Intelligence, 41-50, 2010
PFORTE: Revising probabilistic FOL theories
A Paes, K Revoredo, G Zaverucha, VS Costa
Advances in Artificial Intelligence-IBERAMIA-SBIA 2006, 441-450, 2006
Semantic Link Prediction through Probabilistic Description Logics.
K Revoredo, JEO Luna, FG Cozman
URSW, 87-97, 2011
Hidden Markov model for regression in electric load forecasting
MA Teixeira, K Revoredo, G Zaverucha
ICANN/ICONIP, 374-377, 2003
Combining predicate invention and revision of probabilistic FOL theories
K Revoredo, A Paes, G Zaverucha, VS Costa
Short Papers from the 16th International Conference on Inductive Logic …, 2006
Learning ontology from text: a storytelling exploratory case study
VTF Confort, K Revoredo, FA Baião, FM Santoro
International Conference on Knowledge Management in Organizations, 477-491, 2015
Using concept maps and ontology alignment for learning assessment
AA Da Silva, N Padilha, S Siqueira, F Baiao, K Revoredo
IEEE Technol Eng Educ 7 (3), 2012
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