Artur d'Avila Garcez
Artur d'Avila Garcez
City, University of London
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Cited by
Cited by
Neural-symbolic learning systems: foundations and applications
ASA Garcez, KB Broda, DM Gabbay
Springer Science & Business Media, 2012
Symbolic knowledge extraction from trained neural networks: A sound approach
AS d'Avila Garcez, K Broda, DM Gabbay
Artificial Intelligence 125 (1-2), 155-207, 2001
The Connectionist Inductive Learning and Logic Programming System
AG AS, G Zaverucha
Applied Intelligence 11 (1), 59-77, 1999
The connectionist inductive learning and logic programming system
AS Avila Garcez, G Zaverucha
Applied Intelligence 11 (1), 59-77, 1999
Neural-symbolic cognitive reasoning
AS D'Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning:, Cognitive Technologies, Volume. ISBN …, 2009
Logic tensor networks: Deep learning and logical reasoning from data and knowledge
L Serafini, AA Garcez
arXiv preprint arXiv:1606.04422, 2016
Neural-symbolic learning and reasoning: contributions and challenges
AA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ...
2015 AAAI Spring Symposium Series, 2015
Fast relational learning using bottom clause propositionalization with artificial neural networks
MVM França, G Zaverucha, ASA Garcez
Machine learning 94 (1), 81-104, 2014
Logic tensor networks for semantic image interpretation
I Donadello, L Serafini, ADA Garcez
arXiv preprint arXiv:1705.08968, 2017
Neural-symbolic learning and reasoning: A survey and interpretation
TR Besold, AA Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ...
arXiv preprint arXiv:1711.03902, 2017
Deep logic networks: Inserting and extracting knowledge from deep belief networks
SN Tran, ASA Garcez
IEEE transactions on neural networks and learning systems 29 (2), 246-258, 2016
Speaker recognition with hybrid features from a deep belief network
H Ali, SN Tran, E Benetos, ASA Garcez
Neural Computing and Applications 29 (6), 13-19, 2018
Combining abductive reasoning and inductive learning to evolve requirements specifications
AS d'Avila Garcez, A Russo, B Nuseibeh, J Kramer
Software, IEE Proceedings- 150 (1), 25-38, 2003
Connectionist modal logic: Representing modalities in neural networks
AS d’Avila Garcez, LC Lamb, DM Gabbay
Theoretical Computer Science 371 (1), 34-53, 2007
Fibring neural networks
ASA Garcez, DM Gabbay
AAAI, 342-347, 2004
Learning and representing temporal knowledge in recurrent networks
RV Borges, AA Garcez, LC Lamb
IEEE Transactions on Neural Networks 22 (12), 2409-2421, 2011
RNN-based music language models for improving automatic music transcription
S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon
A connectionist inductive learning system for modal logic programming
AS d'Avila Garcez, LC Lamb, DM Gabbay
Neural Information Processing, 2002. ICONIP'02. Proceedings of the 9th …, 2002
Logical modes of attack in argumentation networks
DM Gabbay, ASA Garcez
Studia Logica 93 (2-3), 199, 2009
A hybrid recurrent neural network for music transcription
S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASA Garcez, ...
2015 IEEE international conference on acoustics, speech and signal …, 2015
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