Deep learning

Type Start End
Internal Jun 2014 Dec 2020
Responsible URL
Xavier Giró-i-Nieto


Roldán F. Visual Question Answering 2.0 Giró-i-Nieto X, Masuda-Mora I, Pascual-deLaPuente S. 2017 . (2.59 MB)
Bozal A. Personalized Image Classi cation from EEG Signals using Deep Learning Giró-i-Nieto X. 2017 . (4.51 MB)
Cardoner LL. Predicting Media Interestingness Zaharieva M, Giró-i-Nieto X. 2017 . (1.78 MB)
Bernal O. Predicting emotion in movies: Recurrent and convolutional models applied to videos Giró-i-Nieto X, Zaharieva M. 2017 . (3.05 MB)
Górriz M. Active Deep Learning for Medical Imaging Segmentation Giró-i-Nieto X, Carlier A, Faure E. 2017 . (2.84 MB)
Assens M. The Temporal Dimension of Visual Attention Models McGuinness K, Giró-i-Nieto X, O'Connor NE. 2017 . (6.98 MB)
Compri M. Multi-label Remote Sensing Image Retrieval based on Deep Features Demir B, Giró-i-Nieto X. 2017 . (1.99 MB)
Arazo E. The impact of visual saliency prediction in image classification McGuinness K, Mohedano E, Giró-i-Nieto X. 2017 . (828.66 KB)
Casamitjana A, Puch S, Aduriz A, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In: Lecture Notes in Computer Vision. Vol. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
Romero-Lopez A. Skin Lesion Detection from Dermoscopic Images using Convolutional Neural Networks Giró-i-Nieto X, Marques O. 2017 .