| Explaining visual models by causal attribution Á Parafita, J Vitrià 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 44 | 2019 |
| Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness. Á Parafita, J Vitria CCIA, 415-424, 2021 | 5 | 2021 |
| Causal Inference with Deep Causal Graphs Á Parafita, J Vitrià arXiv preprint arXiv:2006.08380, 2020 | 5 | 2020 |
| Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs Á Parafita, J Vitrià IEEE Access 10, 71370-71386, 2022 | 3 | 2022 |
| Algorithmic Causal Effect Identification with causaleffect M Pedemonte, J Vitrià, Á Parafita arXiv preprint arXiv:2107.04632, 2021 | 3 | 2021 |
| Causality without Estimands: from Causal Estimation to Black-Box Introspection Á Parafita Universitat de Barcelona, 2023 | | 2023 |
| On explainability of deep neural networks Á Parafita Martínez Universitat Politècnica de Catalunya, 2018 | | 2018 |
Jordi VitriàProfessor of Computer Science, Universitat de BarcelonaDirección de correo verificada de ub.edu
