Stebėti
Artur d'Avila Garcez
Artur d'Avila Garcez
Professor of Computer Science. City, University of London
Patvirtintas el. paštas city.ac.uk - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
4522021
Neural-symbolic learning systems
AS d’Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning, 35-54, 2009
4202009
Neurosymbolic AI: the 3rd wave
AA Garcez, LC Lamb
Artificial Intelligence Review 56 (11), 12387-12406, 2023
4042023
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
3552019
Logic tensor networks
S Badreddine, AA Garcez, L Serafini, M Spranger
Artificial Intelligence 303, 103649, 2022
3162022
Neural-symbolic cognitive reasoning
AS D'Avila Garcez, LC Lamb, DM Gabbay
Neural-Symbolic Cognitive Reasoning:, Cognitive Technologies, Volume. ISBN …, 2009
304*2009
Logic tensor networks: Deep learning and logical reasoning from data and knowledge
L Serafini, AA Garcez
arXiv preprint arXiv:1606.04422, 2016
3002016
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
2872001
Logic tensor networks for semantic image interpretation
I Donadello, L Serafini, AA Garcez
arXiv preprint arXiv:1705.08968, 2017
2852017
The Connectionist Inductive Learning and Logic Programming System
AG AS, G Zaverucha
Applied Intelligence 11 (1), 59-77, 1999
2571999
Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
ASA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ...
AAAI Spring Symposia, 18-21, 2015
2262015
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
2182020
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
1782014
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
1672016
Measurable counterfactual local explanations for any classifier
A White, A d’Avila Garcez
ECAI 2020, 2529-2535, 2020
1312020
Learning and reasoning with logic tensor networks
L Serafini, AS d’Avila Garcez
Conference of the italian association for artificial intelligence, 334-348, 2016
1212016
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
1032018
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
832016
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
732011
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
662005
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Straipsniai 1–20