| Fecha de publicación | Título | Autor(es) |
| 2021 | A multi-scale a contrario method for unsupervised image anomaly detection | Tailanian, Matias; Musé, Pablo; Pardo, Álvaro |
| 2022 | An experimental comparison of multi-view stereo approaches on satellite images | Gómez, Alvaro; Randall, Gregory; Facciolo, Gabriele; Grompone von Gioi, Rafael |
| 2023 | Artificial intelligence for image analysis in oral squamous cell carcinoma: a review | Pereira-Prado, Vanesa; Martins Silveira, Felipe; Sicco, Estefanía; Hochmann, Jimena; Isiordia-Espinoza, Mario Alberto; González González, Rogelio; Pandiar, Deepak; Bologna-Molina, Ronell |
| 2020 | Data efficient deep learning models for text classification | Garreta, Raúl |
| 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 |
| 2023 | Deep learning methods for intra-day cloudiness prediction using geostationary 2 satellite images in a solar forecasting framework. | Marchesoni-Acland, Franco; Herrera, Andrés; Mozo, Franco; Camiruaga, Ignacio; Castro, Alberto; Alonso-Suárez, Rodrigo |
| 2022 | Deep reinforcement learning and graph neural networks for efficient resource allocation in 5G networks | Randall, Martín; Belzarena, Pablo; Larroca, Federico; Casas, Pedro |
| 2022 | DeepCloud : Intra-day satellite prediction of cloudiness using deep learning strategies | Camiruaga, Ignacio; Herrera, Andrés; Mozo, Franco |
| 2022 | Detección de pérdidas no técnicas en redes eléctricas en un contexto de migración tecnológica y maximizando el retorno económico | Massaferro Saquieres, Pablo |
| 2022 | Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data | Massaferro Saquieres, Pablo; Di Martino, Matías; Fernández, Alicia |
| 2021 | An interpretable deep learning model for automatic sound classification. | Zinemanas, Pablo; Rocamora, Martín; Miron, Marius; Font, Frederic; Serra, Xavier |
| 2021 | NILM : Multivariate DNN performance analysis with high frequency features | Mariño, Camilo; Masquil, Elías; Marchesoni, Franco; Fernández, Alicia; Massaferro Saquieres, Pablo |
| 2023 | NILMEV : Electric Vehicle disaggregation for residential customer energy efficiency incentives | Mariño, Camilo; Cossio, Guillermo; Massaferro Saquieres, Pablo; Di Martino, Matías; Gómez, Alvaro; Fernández, Alicia |
| 2015 | No-reference video quality measurement : added value of machine learning | Mocanu, Decebal Constantin; Pokhrel, Jeevan; Garella, Juan Pablo; Seppänen, Janne; Liotou, Eirini; Narwaria, Manish |
| 2023 | Noise reduction in analog tape audio recordings with deep learning models. | Irigaray, Ignacio; Rocamora, Martín; Biscainho, Luiz W. P. |
| 2020 | On the usage of generative models for network anomaly detection in multivariate time-series. | García González, Gastón; Casas, Pedro; Fernández, Alicia; Gómez, Gabriel |
| 2023 | One model to find them all deep learning for multivariate time-series anomaly detection in mobile network data | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Casas, Pedro |
| 2023 | Reinforcement learning based coexistence in mixed 802.11ax and legacy WLANs. | Frommel Araújo, Fabián; Capdehourat, Germán; Larroca, Federico |
| 2025 | Single-image blind motion deblurring : Bridging blur formation models with data-driven learning. | Carbajal, Guillermo |
| 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 |
| 2019 | Super-resolución en imágenes | Marzoa Tanco, Mercedes |
| 2022 | Técnicas de aprendizaje profundo para el desarrollo de iluminación global en tiempo real | Gutiérrez Rodríguez, Cecilia Inés; Morero Caño, Julio Enrique |
