Listar por Autor Hounie, Ignacio
Mostrando resultados 1 a 7 de 7
| Fecha de publicación | Título | Autor(es) |
| 2020 | DCASE-models : A Python library for computational environmental sound analysis using deep-learning models. | Zinemanas, Pablo; Hounie, Ignacio; Cancela, Pablo; Font, Frederic; Rocamora, Martín; Serra, Xavier |
| 2021 | DNAI : Machine learning for genome enabled prediction of complex traits in agriculture | Elenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio |
| 2021 | Graph Neural Networks for genome enabled prediction of complex traits. | Hounie, Ignacio; Elenter, Juan; Etchebarne, Guillermo; Fariello, María Inés; Lecumberry, Federico |
| 2021 | Image inpainting using patch consensus and DCT priors. | Ramírez Paulino, Ignacio; Hounie, Ignacio |
| 2021 | Machine Learning methods for genome enabled prediction of complex traits : Benchmarking and robustness to marker elimination | Elenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio; Fariello, María Inés; Lecumberry, Federico |
| 2021 | On two dimensional mappings of SNP marker data and CNNs : Overcoming the limitations of existing methods using Fermat distance. | Elenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio; Fariello, María Inés; Lecumberry, Federico |
| 2023 | Something old, something new, something borrowed : Evaluation of different neural network architectures for genomic prediction | Fariello, Maria Inés; Arboleya, Lucía; Belzarena, Diego; De Los Santos, Leonardo; Elenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio; Ciappesoni, Gabriel; Navajas, Elly; Lecumberry, Federico |
