Casals R. Synthesis of acne images for data augmentation with generative adversarial networks Vilaplana V. 2019 . |
Domingo P. Interpretability of Deep Learning Models Vilaplana V. 2019 . |
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging Salgueiro L, Vilaplana V. 2019 . |
Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales Vilaplana V, Combalia M. 2019 . |
Giró-i-Nieto X. One Perceptron to Rule Them All: Language and Vision. 2019 . (15.61 MB) |
Caros M. A Generative Dialogue System for Reminiscence Therapy Radeva P, Giró-i-Nieto X. 2019 . (4.89 MB) |
Anon. Deep Learning Representations for All (a.k.a. the AI hype). 2019 . (10.95 MB) |
Nieto JJosé. Video Saliency Prediction with Deep Neural Networks Mohedano E, McGuinness K, Giró-i-Nieto X. 2019 . (2.17 MB) |
Tubau M. Wav2Pix: Enhancement and Evaluation of a Speech-conditioned Image Generator Duarte A, Giró-i-Nieto X. 2019 . (9.65 MB) |
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In: Workshop on Deep Learning in Medical Image Analysis, MICCAI. Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018. |