| Assessing gender bias in machine translation: a case study with Google Translate MOR Prates, PH Avelar, LC Lamb Neural Comput & Applic 32, 6363–6381, 2020 | 537 | 2020 |
| Neural-Symbolic Learning and Reasoning: A Survey and Interpretation TR Besold, A d'Avila Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ... Neuro-Symbolic Artificial Intelligence: The State of the Art, 2022 | 493* | 2022 |
| Neurosymbolic AI: The 3rd Wave AA Garcez, LC Lamb Artificial Intelligence Review, 1-20, 2023 | 459* | 2023 |
| Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. AS d'Avila Garcez, M Gori, LC Lamb, L Serafini, M Spranger, SN Tran JOURNAL OF APPLIED LOGICS-IFCOLOG JOURNAL OF LOGICS AND THEIR APPLICATIONS 6 …, 2019 | 373* | 2019 |
| Neural-symbolic cognitive reasoning ASDA Garcez, LC Lamb, DM Gabbay Springer Science & Business Media, 2009 | 310 | 2009 |
| Three-dimensional protein structure prediction: Methods and computational strategies M Dorn, MB e Silva, LS Buriol, LC Lamb Computational biology and chemistry 53, 251-276, 2014 | 269 | 2014 |
| Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP M Prates, PHC Avelar, H Lemos, LC Lamb, MY Vardi Proceedings of the AAAI Conference on Artificial Intelligence, 4731-4738, 2019 | 248 | 2019 |
| 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 | 232 | 2015 |
| Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective L Lamb, A Garcez, M Gori, M Prates, P Avelar, M Vardi IJCAI 2020, 2020 | 222 | 2020 |
| Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems H Lemos, M Prates, P Avelar, L Lamb IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019 | 102 | 2019 |
| Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. D de Oliveira, ALC Bazzan, BC da Silva, EW Basso, L Nunes, R Rossetti, ... EUMAS, 2006 | 92 | 2006 |
| Machine learning in network centrality measures: tutorial and outlook F Grando, LZ Granville, LC Lamb ACM Computing Surveys (CSUR) 51 (5), 102, 2019 | 76 | 2019 |
| A neural-symbolic cognitive agent for online learning and reasoning L de Penning, A Garcez, LC Lamb, JJ Meyer Proceedings of the Twenty-Second international joint conference on …, 2011 | 75 | 2011 |
| Superpixel image classification with graph attention networks PHC Avelar, AR Tavares, TLT da Silveira, CR Jung, LC Lamb 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2020 | 73 | 2020 |
| Value-based argumentation frameworks as neural-symbolic learning systems ASDA Garcez, DM Gabbay, LC Lamb Journal of Logic and Computation 15 (6), 1041-1058, 2005 | 66 | 2005 |
| An analysis of centrality measures for complex and social networks F Grando, D Noble, LC Lamb 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 65 | 2016 |
| Connectionist modal logic: Representing modalities in neural networks ASA Garcez, LC Lamb, DM Gabbay Theoretical Computer Science 371 (1-2), 34-53, 2007 | 63 | 2007 |
| Learning and representing temporal knowledge in recurrent networks RV Borges, AA Garcez, LC Lamb IEEE Transactions on Neural Networks 22 (12), 2409-2421, 2011 | 59 | 2011 |
| Software quality metrics and their impact on embedded software MFS Oliveira, RM Redin, L Carro, L da Cunha Lamb, FR Wagner 2008 5th International Workshop on Model-based Methodologies for Pervasive …, 2008 | 59 | 2008 |
| Using UML as front-end for heterogeneous software code generation strategies LB Brisolara, MFS Oliveira, R Redin, LC Lamb, L Carro, F Wagner Proceedings of the conference on Design, automation and test in Europe, 504-509, 2008 | 52 | 2008 |
Artur d'Avila GarcezProfessor of Computer Science. City, University of Londoncity.ac.uk의 이메일 확인됨