Author of the publication

Improving radar echo extrapolation models using autoencoder-based perceptual losses.

. KES, volume 225 of Procedia Computer Science, page 1611-1620. Elsevier, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction., , , and . Entropy, 23 (6): 643 (2021)NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes., , , , , and . Remote. Sens., 14 (16): 3890 (2022)An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders.. KES, volume 207 of Procedia Computer Science, page 2023-2032. Elsevier, (2022)Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder., , and . NLDL, page 1-6. Septentrio Academic Publishing, (2020)Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations., , and . CoRR, (2020)Towards learning transferable embeddings for protein conformations using Variational Autoencoders.. KES, volume 192 of Procedia Computer Science, page 10-19. Elsevier, (2021)Analysing protein dynamics using machine learning based generative models., and . SACI, page 135-140. IEEE, (2020)MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction., , and . Comput. Biol. Medicine, (February 2023)Improving radar echo extrapolation models using autoencoder-based perceptual losses.. KES, volume 225 of Procedia Computer Science, page 1611-1620. Elsevier, (2023)