Aline Paes
Nimike
Viittaukset
Viittaukset
Vuosi
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
512016
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
342020
Probabilistic first-order theory revision from examples
A Paes, K Revoredo, G Zaverucha, VS Costa
International Conference on Inductive Logic Programming, 295-311, 2005
262005
Using the bottom clause and mode declarations in FOL theory revision from examples
AL Duboc, A Paes, G Zaverucha
Machine learning 76 (1), 73-107, 2009
212009
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
202010
ILP through propositionalization and stochastic k-term DNF learning
A Paes, F Železný, G Zaverucha, D Page, A Srinivasan
International Conference on Inductive Logic Programming, 379-393, 2006
182006
Revising first-order logic theories from examples through stochastic local search
A Paes, G Zaverucha, V Santos Costa
Inductive Logic Programming, 200-210, 2008
152008
Using the bottom clause and mode declarations on FOL theory revision from examples
AL Duboc, A Paes, G Zaverucha
International Conference on Inductive Logic Programming, 91-106, 2008
132008
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 (2), 197-241, 2017
92017
PFORTE: Revising probabilistic FOL theories
A Paes, K Revoredo, G Zaverucha, VS Costa
Advances in Artificial Intelligence-IBERAMIA-SBIA 2006, 441-450, 2006
92006
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
82006
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
72017
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
62019
An Architecture Coupled with a Provenance Model for Affective Simulations in Games Based on Real World
R Sales, E Clua, D de Oliveira, A Paes
Proceedings of SBGames 2013, 25-34, 2013
62013
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
52020
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
52020
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
52019
Towards Adaptive Deep Reinforcement Game Balancing.
A Noblega, A Paes, E Clua
ICAART (2), 693-700, 2019
52019
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
52018
Terminology learning through taxonomy discovery
R Melo, K Revoredo, A Paes
2013 Brazilian Conference on Intelligent Systems, 169-174, 2013
52013
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Artikkelit 1–20