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Items where Author is "d'Avila Garcez, A. S."

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Ngan, K. H., Phelan, J., Mansouri-Benssassi, E. , Townsend, J. & d'Avila Garcez, A. S. (2023). Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks. In: CEUR Workshop Proceedings. 17th International Workshop on Neural-Symbolic Learning and Reasoning, 3-5 Jul 2023, Siena, Italy.

Apperly, I., Bundy, A., Cohn, A. , Colton, S., Cussens, J., d'Avila Garcez, A. S., Hahn, U., Jamnik, M., Jay, C., Mareschal, D., Sammut, C., Schmid, U., Seed, A., Stahl, B., Steedman, M. & Tamaddoni-Nezhad, A. (2022). Preface. In: CEUR Workshop Proceedings. 3rd Human-Like Computing Workshop (HLC 2022), 28-30 Sep 2022, Windsor, United Kingdom.

Caffo, B. S., D'Asaro, F. A., d'Avila Garcez, A. S. & Raffinetti, E. (2022). Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Frontiers in Artificial Intelligence, 5, doi: 10.3389/frai.2022.970246

Wagner, B. & d'Avila Garcez, A. S. ORCID: 0000-0001-7375-9518 (2022). Neural-Symbolic Reasoning Under Open-World and Closed-World Assumptions. In: CEUR Workshop Proceedings. AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 21-23 Mar 2022, California, USA.

Badreddine, S., d'Avila Garcez, A. S., Serafini, L. & Spranger, M. (2022). Logic Tensor Networks. Artificial Intelligence, 303, article number 103649. doi: 10.1016/j.artint.2021.103649

Stromfelt, H., Dickens, L., d'Avila Garcez, A. S. & Russo, A. (2021). Coherent and Consistent Relational Transfer Learning with Auto-encoders. In: Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2021). 15th International Workshop on Neural-Symbolic Learning and Reasoning, 25-27 Oct 2021, Virtual event.

Wagner, B. & d'Avila Garcez, A. S. ORCID: 0000-0001-7375-9518 (2021). Neural-symbolic integration for fairness in AI. In: CEUR Workshop Proceedings. AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 22-24 Mar 2021, California, USA.

White, A. & d'Avila Garcez, A. S. (2020). Measurable counterfactual local explanations for any classifier. Frontiers in Artificial Intelligence and Applications, 325, pp. 2529-2535. doi: 10.3233/FAIA200387

Mota, E., Howe, J. M. ORCID: 0000-0001-8013-6941, Schramm, A. & d'Avila Garcez, A. S. (2019). Efficient Predicate Invention using Shared NeMuS. In: 14th International Workshop on Neural-Symbolic Learning and Reasoning. 14th International Workshop on Neural-Symbolic Learning and Reasoning, 10 - 16 August 2019, Macau, China.

Tran, S.N. & d'Avila Garcez, A. S. (2018). Deep Logic Networks: Inserting and Extracting Knowledge from Deep Belief Networks. IEEE Transactions on Neural Networks and Learning Systems, 29(2), pp. 246-258. doi: 10.1109/tnnls.2016.2603784

Donadello, I., Serafini, L. & d'Avila Garcez, A. S. (2017). Logic tensor networks for semantic image interpretation. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. IJCAI 2017, 19-25 Aug 2017, Melbourne, Australia.

Ali, H., Tran, S. N., Benetos, E. & d'Avila Garcez, A. S. (2016). Speaker recognition with hybrid features from a deep belief network. Neural Computing and Applications, 29(6), pp. 13-19. doi: 10.1007/s00521-016-2501-7

Perotti, A., d'Avila Garcez, A. S. & Boella, G. (2015). Neural-Symbolic Monitoring and Adaptation. In: Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2015). (pp. 1-8). IEEE. doi: 10.1109/IJCNN.2015.7280713

d'Avila Garcez, A. S., Gabbay, D. M. & Lamb, L. C. (2014). A neural cognitive model of argumentation with application to legal inference and decision making. Journal of Applied Logic, 12(2), pp. 109-127. doi: 10.1016/j.jal.2013.08.004

Renou, L. & d'Avila Garcez, A. S. (2008). Rule Extraction from Support Vector Machines: A Geometric Approach. Technical Report (TR/2008/DOC/01). Department of Computing, City University London: .

d'Avila Garcez, A. S., Hitzler, P. & Tamburrini, G. (2006). Proceedings of ECAI International Workshop on Neural-Symbolic Learning and reasoning NeSy 2006 (TR/2006/DOC/02). .

Dafas, P. & d'Avila Garcez, A. S. (2005). Applied temporal Rule Mining to Time Series (TR/2006/DOC/01). .

d'Avila Garcez, A. S. (2005). Proceedings of IJCAI International Workshop on Neural-Symbolic Learning and Reasoning NeSy 2005 (TR/2005/DOC/01). .

This list was generated on Fri Jul 19 07:44:00 2024 UTC.