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A Practical Tutorial on Explainable AI Techniques


Nov 13, 2021
Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz-Rodríguez


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Synthetic Data Generation for Fraud Detection using GANs


Sep 26, 2021
Charitos Charitou, Simo Dragicevic, Artur d'Avila Garcez

* 8 pages 

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Counterfactual Instances Explain Little


Sep 20, 2021
Adam White, Artur d'Avila Garcez


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Contrastive Counterfactual Visual Explanations With Overdetermination


Jun 28, 2021
Adam White, Kwun Ho Ngan, James Phelan, Saman Sadeghi Afgeh, Kevin Ryan, Constantino Carlos Reyes-Aldasoro, Artur d'Avila Garcez


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Logic Tensor Networks


Jan 17, 2021
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini, Michael Spranger

* 68 pages, 28 figures, 6 tables 

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Neurosymbolic AI: The 3rd Wave


Dec 16, 2020
Artur d'Avila Garcez, Luis C. Lamb

* 37 pages 

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On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision


Nov 13, 2020
Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez, Alessandra Russo


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Layerwise Knowledge Extraction from Deep Convolutional Networks


Mar 19, 2020
Simon Odense, Artur d'Avila Garcez


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Making Good on LSTMs' Unfulfilled Promise


Dec 09, 2019
Daniel Philps, Artur d'Avila Garcez, Tillman Weyde

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. arXiv admin note: text overlap with arXiv:1812.02340 

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Making Good on LSTMs Unfulfilled Promise


Nov 23, 2019
Daniel Philps, Artur d'Avila Garcez, Tillman Weyde

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. arXiv admin note: text overlap with arXiv:1812.02340 

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Measurable Counterfactual Local Explanations for Any Classifier


Aug 08, 2019
Adam White, Artur d'Avila Garcez


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Efficient predicate invention using shared "NeMuS"


Jun 15, 2019
Edjard Mota, Jacob M. Howe, Ana Schramm, Artur d'Avila Garcez

* 7 pages, 5 figures, Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning 

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Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning


May 15, 2019
Artur d'Avila Garcez, Marco Gori, Luis C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran


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Continual Learning Augmented Investment Decisions


Dec 14, 2018
Daniel Philps, Tillman Weyde, Artur d'Avila Garcez, Roy Batchelor

* NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, Montreal, Canada. This is a non-archival publication - the authors may submit revisions and extensions of this paper to other publication venues 

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Towards Symbolic Reinforcement Learning with Common Sense


Apr 23, 2018
Artur d'Avila Garcez, Aimore Resende Riquetti Dutra, Eduardo Alonso

* 15 pages, 13 figures, 26 references 

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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation


Nov 10, 2017
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha

* 58 pages, work in progress 

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Logic Tensor Networks for Semantic Image Interpretation


May 24, 2017
Ivan Donadello, Luciano Serafini, Artur d'Avila Garcez

* 14 pages, 2 figures, IJCAI 2017 

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Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples


Mar 01, 2017
Tarek R. Besold, Artur d'Avila Garcez, Keith Stenning, Leendert van der Torre, Michiel van Lambalgen

* Forthcoming with DOI 10.1007/s11023-017-9428-3 in the Special Issue "Reasoning with Imperfect Information and Knowledge" of Minds and Machines (2017). The final publication will be available at http://link.springer.com. --- Changes to previous version: Fixed some typos and a broken reference 

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Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge


Jul 07, 2016
Luciano Serafini, Artur d'Avila Garcez

* 12 pages, 2 figs, 1 table, 27 references 

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Generalising the Discriminative Restricted Boltzmann Machine


Apr 06, 2016
Srikanth Cherla, Son N Tran, Tillman Weyde, Artur d'Avila Garcez

* Submitted to ECML 2016 conference track 

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Adaptive Feature Ranking for Unsupervised Transfer Learning


May 28, 2014
Son N. Tran, Artur d'Avila Garcez

* 9 pages 7 figures, new experimental results on ranking and transfer have been added, typo fixed 

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