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Artur S. d'Avila Garcez

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> Home > Persons > Artur S. d'Avila Garcez

Publications

2023
[c95]
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  - conf/nesy/KyriakopoulosG23
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Sofoklis Kyriakopoulos, Artur S. d'Avila Garcez:
Continual Reasoning: Non-monotonic Reasoning in Neurosymbolic AI using Continual Learning. NeSy 2023: 210-222
[i35]
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  - journals/corr/abs-2305-02171
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Sofoklis Kyriakopoulos, Artur S. d'Avila Garcez:
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning. CoRR abs/2305.02171 (2023)
2022
[i31]
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  - journals/corr/abs-2212-12050
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Simon Odense, Artur d'Avila Garcez:
A Semantic Framework for Neural-Symbolic Computing. CoRR abs/2212.12050 (2022)
2020
[i22]
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  - journals/corr/abs-2003-09000
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Simon Odense, Artur S. d'Avila Garcez:
Layerwise Knowledge Extraction from Deep Convolutional Networks. CoRR abs/2003.09000 (2020)
2017
[c79]
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  - conf/icann/OdenseG17
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Simon Odense, Artur S. d'Avila Garcez:
Extracting M of N Rules from Restricted Boltzmann Machines. ICANN (2) 2017: 120-127
[c76]
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  - conf/nesy/DutraG17
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Aimore R. R. Dutra, Artur S. d'Avila Garcez:
A Comparison between Deep Q-Networks and Deep Symbolic Reinforcement Learning. NeSy 2017
[c74]
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Simon Odense, Artur S. d'Avila Garcez:
Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks. NeSy 2017
2010
[c24]
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  - conf/ijcnn/Ryman-TubbG10
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Nick F. Ryman-Tubb, Artur S. d'Avila Garcez:
SOAR - Sparse Oracle-based Adaptive Rule extraction: Knowledge extraction from large-scale datasets to detect credit card fraud. IJCNN 2010: 1-9
2008
[c22]
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  - conf/iconip/RenG09
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Lu Ren, Artur S. d'Avila Garcez:
Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach. ICONIP (2) 2008: 335-343

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