Browsing by Subject Machine learning
Showing results 331 to 350 of 361
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| Issue Date | Title | Author(s) |
|---|---|---|
| 17-Feb-2023 | Uncertainty, interpretability and dataset limitations in Deep Learning | Pascual i Guinovart, Guillem |
| 23-Nov-2020 | Uncertainty-Based Human-in-the-Loop Deep Learning for Land Cover Segmentation | García Rodríguez, Carlos; Vitrià i Marca, Jordi; Mora Sacristán, Oscar |
| 21-May-2020 | Uncertainty-based Rejection Wrappers for Black-box Classifiers | Mena, José; Pujol Vila, Oriol; Vitrià i Marca, Jordi |
| 7-Sep-2020 | Unfolding the prospects of computational (bio)materials modelling | Sevink, Geert Jan Agur; Liwo, Adam; Asinari, Pietro; MacKernan, Donal; Milano, Giuseppe; Pagonabarraga Mora, Ignacio |
| 10-Feb-2022 | Unravelling the Role of Long Noncoding RNAs in the Context of Cell-growth and Regeneration | Amador Rios, Raziel |
| Feb-2021 | Unsupervised machine learning techniques for chemical analysis in spectroscopic stellar surveys | Dolcet Monés, Jaume |
| 27-Jun-2019 | Unsupervised representation learning for medical imaging | Garcia Sanchez, Albert |
| 3-Jul-2018 | Unsupervised segmentation using CNNs applied to food analysis | Brufau Vidal, Montserrat; Ferrer Campo, Àlex; Gavalas, Markos |
| 2015 | Usefulness of feedback in e-learning from the students' perspective | Martínez Argüelles, María Jesús; Plana Erta, Dolors; Hintzmann Colominas, Carolina; Batalla, Josep M. (Josep Maria); Badia-Miró, Marc |
| 3-Jul-2018 | Using deep learning and Open Street Maps to find features in aerial images | Beltrán Segarra, Marc; Companys Rufián, Albert |
| 20-Jun-2021 | Using deep learning for fine-grained action segmentation | Yuste Ramos, Joaquim |
| 13-Sep-2020 | Using deep learning for food recognition | Zhu, Ling |
| 19-Jan-2020 | Using GANs for face aging | Viñals Canal, Marina |
| 2-Sep-2018 | Using recurrent neural networks to predict the time for an event | Maragall Cambra, Manel |
| 27-Apr-2020 | Uso del aprendizaje automático en el diagnóstico del melanoma. Limitaciones por superar | González Cruz, C.; Jofre, M. A.; Podlipnik, Sebastian; Combalia, M.; Gareau, D.; Gamboa, M.; Vallone, M. G.; Barragán Estudillo, Z. Faride; Tamez Peña, A. L.; Montoya, J.; Jesús Silva, M. América; Carrera Álvarez, Cristina; Malvehy, J. (Josep); Puig i Sardà, Susana |
| 14-Dec-2023 | Utilitat dels models matemàtics amb neuroimatge pel diagnòstic i l'estudi de la variabilitat en la malaltia d'Alzheimer i la demència frontotemporal | Pérez Millan, Agnès |
| 30-Jun-2020 | Validation of White Matter Hyperintensities automatic segmentation methods | Arcas Cuerda, Àlex |
| Jan-2022 | Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation | Ngoc Dang, Vien; Galati, Francesco; Cortese, Rosa; Di Giacomo, Giuseppe; Marconetto, Viola; Mathur, Prateek; Lekadir, Karim, 1977-; Lorenzi, Marco; Prados, Ferran; Zuluaga, Maria A. |
| 10-Feb-2022 | Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients | Tubío Fungueiriño, María; Cernadas, Eva; Gonçalves, Óscar F.; Segalas, Cinto; Bertolín, Sara; Mar Barrutia, Lorea; Real, Eva; Fernández Delgado, Manuel; Menchón, Jose M.; Carvalho, Sandra; Alonso, Pino; Carracedo, Angel; Fernández Prieto, Montse |
| 13-Jun-2022 | Visualizing and ranking the influence of users who post memes in social networks | Pérez Onielfa, Carles |