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Artur d'Avila Garcez
Artur d'Avila Garcez
Professor of Computer Science. City, University of London
Bestätigte E-Mail-Adresse bei city.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Neural-symbolic learning systems
AS d’Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning, 35-54, 2009
3922009
Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation 1
TR Besold, A d’Avila Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ...
Neuro-Symbolic Artificial Intelligence: The State of the Art, 1-51, 2021
3672021
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
3182019
Neurosymbolic AI: the 3rd wave
AA Garcez, LC Lamb
Artificial Intelligence Review 56 (11), 12387-12406, 2023
2862023
Neural-symbolic cognitive reasoning
AS D'Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning:, Cognitive Technologies, Volume. ISBN …, 2009
284*2009
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
2792001
Logic tensor networks: Deep learning and logical reasoning from data and knowledge
L Serafini, AA Garcez
arXiv preprint arXiv:1606.04422, 2016
2712016
Logic tensor networks for semantic image interpretation
I Donadello, L Serafini, ADA Garcez
arXiv preprint arXiv:1705.08968, 2017
2602017
The Connectionist Inductive Learning and Logic Programming System
AG AS, G Zaverucha
Applied Intelligence 11 (1), 59-77, 1999
2481999
Logic tensor networks
S Badreddine, AA Garcez, L Serafini, M Spranger
Artificial Intelligence 303, 103649, 2022
2122022
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
2062015
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
1872020
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
1682014
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
1522016
Measurable counterfactual local explanations for any classifier
A White, A d’Avila Garcez
ECAI 2020, 2529-2535, 2020
1222020
Learning and reasoning with logic tensor networks
L Serafini, AS d’Avila Garcez
Conference of the Italian Association for Artificial Intelligence, 334-348, 2016
1062016
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
962018
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
762016
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
672011
Connectionist modal logic: Representing modalities in neural networks
AS d’Avila Garcez, LC Lamb, DM Gabbay
Theoretical Computer Science 371 (1), 34-53, 2007
612007
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