Aline Paes
Cited by
Cited by
Um estudo sobre redes neurais convolucionais e sua aplicação em detecção de pedestres
ACG Vargas, A Paes, CN Vasconcelos
Proceedings of the xxix conference on graphics, patterns and images 1 (4), 2016
Infodemia, fake news and medicine: science and the quest for truth
CT Mesquita, A Oliveira, FL Seixas, A Paes
International Journal of Cardiovascular Sciences 33, 203-205, 2020
See and read: detecting depression symptoms in higher education students using multimodal social media data
P Mann, A Paes, EH Matsushima
Proceedings of the International AAAI Conference on Web and social media 14 …, 2020
Probabilistic first-order theory revision from examples
A Paes, K Revoredo, G Zaverucha, VS Costa
Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn …, 2005
Using the bottom clause and mode declarations in fol theory revision from examples.
AL Duboc, A Paes, G Zaverucha
Machine learning 76 (1), 2009
Chess revision: acquiring the rules of chess variants through FOL theory revision from examples
S Muggleton, A Paes, V Santos Costa, G Zaverucha
Inductive Logic Programming, 123-130, 2010
ILP through propositionalization and stochastic k-term DNF learning
A Paes, F Železný, G Zaverucha, D Page, A Srinivasan
Inductive Logic Programming: 16th International Conference, ILP 2006 …, 2007
Revising first-order logic theories from examples through stochastic local search
A Paes, G Zaverucha, V Santos Costa
Inductive Logic Programming, 200-210, 2008
Using the bottom clause and mode declarations on FOL theory revision from examples
AL Duboc, A Paes, G Zaverucha
Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008
On the use of stochastic local search techniques to revise first-order logic theories from examples
A Paes, G Zaverucha, VS Costa
Machine Learning 106, 197-241, 2017
A reinforcement learning scheduling strategy for parallel cloud-based workflows
A Nascimento, V Olimpio, V Silva, A Paes, D de Oliveira
2019 IEEE international parallel and distributed processing symposium …, 2019
Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs
P Carvalho, E Clua, A Paes, C Bentes, B Lopes, LMA Drummond
Future Generation Computer Systems 113, 528-540, 2020
Combining labeled datasets for sentiment analysis from different domains based on dataset similarity to predict electors sentiment
JS Santos, A Paes, F Bernardini
2019 8th brazilian conference on intelligent systems (bracis), 455-460, 2019
Towards safer (smart) cities: Discovering urban crime patterns using logic-based relational machine learning
V Lourenço, P Mann, A Guimaraes, A Paes, D de Oliveira
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Supporting defect causal analysis in practice with cross-company data on causes of requirements engineering problems
M Kalinowski, P Curty, A Paes, A Ferreira, R Spínola, DM Fernández, ...
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
Revising the structure of Bayesian network classifiers in the presence of missing data
R Sardinha, A Paes, G Zaverucha
Information Sciences 439, 108-124, 2018
PFORTE: Revising probabilistic FOL theories
A Paes, K Revoredo, G Zaverucha, VS Costa
Advances in Artificial Intelligence-IBERAMIA-SBIA 2006: 2nd International …, 2006
Measuring the degree of divergence when labeling tweets in the electoral scenario
JS Santos, F Bernardini, A Paes
Anais do X Brazilian Workshop on Social Network Analysis and Mining, 127-138, 2021
Transfer learning by mapping and revising boosted relational dependency networks
R Azevedo Santos, A Paes, G Zaverucha
Machine Learning 109, 1435-1463, 2020
Análise de hiperparâmetros em aplicações de aprendizado profundo por meio de dados de proveniência
DB Pina, L Neves, A Paes, D de Oliveira, M Mattoso
Anais do XXXIV Simpósio Brasileiro de Banco de Dados, 223-228, 2019
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