Improving Short Query Representation in LDA Based Information Retrieval Systems. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Rubén Romero; Adrián Seara Vieira; Lourdes Borrajo (HAIS, 2022)

MobyDeep: A lightweight CNN architecture to configure models for text classification. - Rubén Romero; Pedro Celard; José Manuel Sorribes-Fdez; A. Seara Vieira; Eva Lorenzo Iglesias; María Lourdes Borrajo Diz (Knowl. Based Syst., 2022)

Study on Synthetic Video Generation of Embryo Development. - Pedro Celard; Adrián Seara Vieira; José Manuel Sorribes-Fdez; Rubén Romero; Eva Lorenzo Iglesias; María Lourdes Borrajo Diz (HAIS, 2023)

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Rubén Romero; A. Seara Vieira; Lourdes Borrajo (Neural Comput. Appl., 2023)

Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development. - Pedro Celard; Adrián Seara Vieira; José Manuel Sorribes-Fdez; Eva Lorenzo Iglesias; Lourdes Borrajo (Inf., 2024)

New Metrics and Dataset for Biological Development Video Generation. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Lourdes Borrajo; Adrián Seara Vieira (ACM Trans. Multim. Comput. Commun. Appl., 2025)