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Tarek R. Besold
Tarek R. Besold
Sony AI || Eindhoven University of Technology
Email verificata su sony.com - Home page
Titolo
Citata da
Citata da
Anno
What does explainable AI really mean? A new conceptualization of perspectives
D Doran, S Schulz, TR Besold
arXiv preprint arXiv:1710.00794, 2017
6982017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
TR Besold, AA Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ...
Neuro-Symbolic Artificial Intelligence: The State of the Art, 1-51, 2022
376*2022
A historical perspective of explainable Artificial Intelligence
R Confalonieri, L Coba, B Wagner, TR Besold
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (1 …, 2021
2832021
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
2052015
Ultra-strong machine learning: comprehensibility of programs learned with ILP
SH Muggleton, U Schmid, C Zeller, A Tamaddoni-Nezhad, T Besold
Machine Learning 107, 1119-1140, 2018
1272018
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
R Confalonieri, T Weyde, TR Besold, FM del Prado Martín
Artificial Intelligence 296, 103471, 2021
972021
Computational creativity research: towards creative machines
TR Besold, M Schorlemmer, A Smaill
Atlantis Press, 2015
782015
Trepan reloaded: A knowledge-driven approach to explaining artificial neural networks
R Confalonieri, T Weyde, TR Besold, F Moscoso del Prado Martín
IOS Press 325, 2457-2464, 2020
69*2020
Lessons from infant learning for unsupervised machine learning
L Zaadnoordijk, TR Besold, R Cusack
Nature Machine Intelligence 4, 510-520, 2022
54*2022
How does predicate invention affect human comprehensibility?
U Schmid, C Zeller, T Besold, A Tamaddoni-Nezhad, S Muggleton
Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017
522017
Towards integrated neural–symbolic systems for human-level AI: Two research programs helping to bridge the gaps
TR Besold, KU Kühnberger
Biologically Inspired Cognitive Architectures 14, 97-110, 2015
452015
Can machine intelligence be measured in the same way as human intelligence?
T Besold, J Hernández-Orallo, U Schmid
KI-Künstliche Intelligenz 29, 291-297, 2015
322015
Generalize and blend: Concept blending based on generalization, analogy, and amalgams
TR Besold, E Plaza
312015
Reasoning in non-probabilistic uncertainty: Logic programming and neural-symbolic computing as examples
TR Besold, AA Garcez, K Stenning, L van der Torre, M van Lambalgen
Minds and Machines 27, 37-77, 2017
302017
A match does not make a sense: on the sufficiency of the comparator model for explaining the sense of agency
L Zaadnoordijk, TR Besold, S Hunnius
Neuroscience of consciousness 2019 (1), niz006, 2019
282019
What makes a good explanation? Cognitive dimensions of explaining intelligent machines.
R Confalonieri, TR Besold, T Weyde, K Creel, T Lombrozo, ST Mueller, ...
CogSci, 25-26, 2019
262019
Concept invention
R Confalonieri, A Pease, M Schorlemmer, TR Besold, O Kutz, E Maclean, ...
Springer, 2018
242018
A narrative in three acts: Using combinations of image schemas to model events
TR Besold, MM Hedblom, O Kutz
Biologically inspired cognitive architectures 19, 10-20, 2017
232017
Towards a domain-independent computational framework for theory blending
M Martinez, T Besold, A Abdel-Fattah, KU Kuehnberger, H Gust, ...
2011 AAAI Fall Symposium Series, 2011
232011
Machine learning security in industry: A quantitative survey
K Grosse, L Bieringer, TR Besold, B Biggio, K Krombholz
IEEE Transactions on Information Forensics and Security 18, 1749-1762, 2023
20*2023
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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