| Automatic data augmentation via invariance-constrained learning I Hounie, LFO Chamon, A Ribeiro International Conference on Machine Learning, 13410-13433, 2023 | 8 | 2023 |
| DCASE-models: A Python library for computational environmental sound analysis using deep-learning models P Zinemanas, I Hounie, P Cancela, F Font Corbera, M Rocamora, X Serra Ono N, Harada N, Kawaguchi Y, Mesaros A, Imoto K, Koizumi Y, Komatsu T …, 2020 | 4 | 2020 |
| Resilient constrained learning I Hounie, A Ribeiro, LFO Chamon Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Paco and paco-dct: Patch consensus and its application to inpainting IR Paulino, I Hounie ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
| Image inpainting using patch consensus and DCT priors IR Paulino, I Hounie Image processing on line 11, 1-17, 2021 | 2 | 2021 |
| Trabajos de la Facultad de Ingeniería para la recuperación y procesamiento de archivos M Delbracio, Á Gómez, I Hounie III Jornadas de Investigación de la Facultad de Información y Comunicación …, 2019 | 2 | 2019 |
| Neural networks with quantization constraints I Hounie, J Elenter, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| DNAI: Machine learning for genome enabled prediction of complex traits in agriculture J Elenter, G Etchebarne, I Hounie Udelar. FI., 2021 | 1 | 2021 |
| Loss Shaping Constraints for Long-Term Time Series Forecasting I Hounie, J Porras-Valenzuela, A Ribeiro arXiv preprint arXiv:2402.09373, 2024 | | 2024 |
| Something old, something new, something borrowed: Evaluation of different neural network architectures for genomic prediction MI Fariello, L Arboleya, D Belzarena, L De Los Santos, J Elenter, ... Plant & Animal Genome Conference: PAG 30, San Diego, California, USA, 13-18 …, 2023 | | 2023 |
| On two dimensional mappings of SNP marker data and CNNs: Overcoming the limitations of existing methods using Fermat distance. J Elenter, G Etchebarne, I Hounie, MI Fariello, F Lecumberry Probabilistic Modeling in Genomics: Virtual Meeting, 14-16 apr. 2021, Cold …, 2021 | | 2021 |
| Graph Neural Networks for genome enabled prediction of complex traits. I Hounie, J Elenter, G Etchebarne, MI Fariello, F Lecumberry Probabilistic Modeling in Genomics: Virtual Meeting, 14-16 apr 2021, Cold …, 2021 | | 2021 |
| Machine Learning methods for genome enabled prediction of complex traits: Benchmarking and robustness to marker elimination J Elenter, G Etchebarne, I Hounie, MI Fariello, F Lecumberry Probabilistic Modeling in Genomics: Virtual Meeting, 14-16 apr. 2021, Cold …, 2021 | | 2021 |
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
