Artur d'Avila Garcez
Artur d'Avila Garcez
Professor of Computer Science. City, University of London
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Zitiert von
Zitiert von
Neural-symbolic learning systems: foundations and applications
ASA Garcez, K Broda, DM Gabbay
Springer Science & Business Media, 2002
Neural-symbolic learning and reasoning: A survey and interpretation
AA Garcez, S Bader, H Bowman, LC Lamb, L de Penning, BV Illuminoo, ...
Neuro-Symbolic Artificial Intelligence: The State of the Art 342 (1), 327, 2022
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
Neural-symbolic cognitive reasoning
AS D'Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning:, Cognitive Technologies, Volume. ISBN …, 2009
Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning
AA Garcez, M Gori, LC Lamb, L Serafini, M Spranger, SN Tran
arXiv preprint arXiv:1905.06088, 2019
Logic tensor networks: Deep learning and logical reasoning from data and knowledge
L Serafini, AA Garcez
arXiv preprint arXiv:1606.04422, 2016
Logic tensor networks for semantic image interpretation
I Donadello, L Serafini, ADA Garcez
arXiv preprint arXiv:1705.08968, 2017
The Connectionist Inductive Learning and Logic Programming System
AG AS, G Zaverucha
Applied Intelligence 11 (1), 59-77, 1999
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
Neurosymbolic AI: the 3rd wave
AA Garcez, LC Lamb
Artificial Intelligence Review, 1-20, 2023
Fast relational learning using bottom clause propositionalization with artificial neural networks
MVM França, G Zaverucha, AS d’Avila Garcez
Machine learning 94, 81-104, 2014
Graph neural networks meet neural-symbolic computing: A survey and perspective
LC Lamb, A Garcez, M Gori, M Prates, P Avelar, M Vardi
arXiv preprint arXiv:2003.00330, 2020
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
Logic tensor networks
S Badreddine, AA Garcez, L Serafini, M Spranger
Artificial Intelligence 303, 103649, 2022
Speaker recognition with hybrid features from a deep belief network
H Ali, SN Tran, E Benetos, AS d’Avila Garcez
Neural Computing and Applications 29, 13-19, 2018
Measurable counterfactual local explanations for any classifier
A White, AA Garcez
arXiv preprint arXiv:1908.03020, 2019
Learning and reasoning with logic tensor networks
L Serafini, AS d’Avila Garcez
Conference of the Italian Association for Artificial Intelligence, 334-348, 2016
Predicting online gambling self-exclusion: An analysis of the performance of supervised machine learning models
C Percy, M França, S Dragičević, A d’Avila Garcez
International Gambling Studies 16 (2), 193-210, 2016
A neural-symbolic cognitive agent for online learning and reasoning
HLHL de Penning, ASA Garcez, LC Lamb, JJC Meyer
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2011
Value-based argumentation frameworks as neural-symbolic learning systems
AS D'Avila Garcez, DM Gabbay, LC Lamb
Journal of Logic and Computation 15 (6), 1041-1058, 2005
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