| How can I choose an explainer? An application-grounded evaluation of post-hoc explanations S Jesus, C Belém, V Balayan, J Bento, P Saleiro, P Bizarro, J Gama Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 141* | 2021 |
| On the Impact of Machine Learning. Architecture without Architects? C Belém, L Santos, A Leitão Proceedings of the 18th International CAAD Futures Conference, 148-167, 2019 | 46* | 2019 |
| Promoting fairness through hyperparameter optimization AF Cruz, P Saleiro, C Belém, C Soares, P Bizarro 2021 IEEE International Conference on Data Mining (ICDM), 1036-1041, 2021 | 28 | 2021 |
| Fairgbm: Gradient boosting with fairness constraints AF Cruz, C Belém, S Jesus, J Bravo, P Saleiro, P Bizarro arXiv preprint arXiv:2209.07850, 2022 | 22 | 2022 |
| Case Studies on the Integration of Algorithmic Design Processes in Traditional Design Workflows I Caetano, G Ilunga, C Belém, R Aguiar, S Feist, F Bastos, A Leitão Learning, Adapting and Prototyping: Proceedings of the 23rd CAADRIA …, 2018 | 12 | 2018 |
| Escaping Evolution: A study on Multi-Objective Optimization I Pereira, C Belém, A Leitão Proceedings of the 25th International Conference of the Association for …, 2020 | 11 | 2020 |
| Optimization of Time-Consuming Objective Functions: Derivative-Free Approaches and their Application in Architecture C Belém Instituto Superior Técnico, Universidade de Lisboa, 2019 | 11* | 2019 |
| From Design to Optimized Design: An algorithmic-based approach C Belém, A Leitão Proceedings of the 36th eCAADe Conference 2, 549-558, 2018 | 11 | 2018 |
| Weakly supervised multi-task learning for concept-based explainability C Belém, V Balayan, P Saleiro, P Bizarro arXiv preprint arXiv:2104.12459, 2021 | 8 | 2021 |
| Teaching the Machine to Explain Itself using Domain Knowledge V Balayan, P Saleiro, C Belém, L Krippahl, P Bizarro NeurIPS 2020 HAMLETS Workshop, 2020 | 8 | 2020 |
| Conflicting Goals in Architecture: A Study on Multi-Objective Optimisation C Belém, A Leitão Proceeding of the 24th CAADRIA Conference. CAADRIA, 453-461, 2019 | 8 | 2019 |
| Weakly supervised multi-task learning for concept-based explainability CG Belém, V Balayan, P dos Santos Saleiro, PGSR Bizarro US Patent 11,544,471, 2023 | 7 | 2023 |
| Optimizing Exhibition Spaces-A Multi-Objective Approach I Pereira, C Belém, A Leitão Architecture in the Age of the 4th Industrial Revolution - Proceedings of …, 2019 | 7 | 2019 |
| Hierarchical machine learning model for performing a decision task and an explanation task V Balayan, P dos Santos Saleiro, CG Belém, PGSR Bizarro US Patent 11,392,954, 2022 | 6 | 2022 |
| Are Models Biased on Text without Gender-related Language? CG Belém, P Seshadri, Y Razeghi, S Singh The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Human-in-the-loop evaluation for explainable artificial intelligence SGP Jesus, CG Belém, V Balayan, DN Polido, JPB Sousa, J Carvalhais, ... US Patent App. 17/382,075, 2022 | 4 | 2022 |
| A bandit-based algorithm for fairness-aware hyperparameter optimization AF Cruz, P Saleiro, C Belém, C Soares, P Bizarro arXiv preprint arXiv:2010.03665, 2020 | 4 | 2020 |
| The calibration gap between model and human confidence in large language models M Steyvers, H Tejeda, A Kumar, C Belem, S Karny, X Hu, L Mayer, ... arXiv preprint arXiv:2401.13835, 2024 | 3 | 2024 |
| Perceptions of Linguistic Uncertainty by Language Models and Humans CG Belem, M Kelly, M Steyvers, S Singh, P Smyth arXiv preprint arXiv:2407.15814, 2024 | 2 | 2024 |
| Constrained optimization for gradient boosting machines AMF da Cruz, CG Belém, P dos Santos Saleiro, PGSR Bizarro, ... US Patent App. 17/825,885, 2023 | 1 | 2023 |
Pedro G BizarroFeedzaiE-mail confirmado em feedzai.com