Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. - Ferran Parés; Dario Garcia-Gasulla; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (COMPLEX NETWORKS, 2017)

Building Graph Representations of Deep Vector Embeddings. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (SemDeep@IWCS, 2017)

Full-Network Embedding in a Multimodal Embedding Pipeline. - Armand Vilalta; Dario Garcia-Gasulla; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (SemDeep@IWCS, 2017)

An Out-of-the-box Full-network Embedding for Convolutional Neural Networks. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

Fluid Communities: A Community Detection Algorithm. - Ferran Parés; Dario Garcia-Gasulla; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

Full-Network Embedding in a Multimodal Embedding Pipeline. - Armand Vilalta; Dario Garcia-Gasulla; Ferran Parés; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (ICBK, 2018)

On the Behavior of Convolutional Nets for Feature Extraction. - Dario Garcia-Gasulla; Ferran Parés; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (J. Artif. Intell. Res., 2018)

Random Forest as a Tumour Genetic Marker Extractor. - Raquel Pérez-Arnal; Dario Garcia-Gasulla; David Torrents; Ferran Parés; Ulises Cortés; Jesús Labarta; Eduard Ayguadé (CCIA, 2019)

Studying the impact of the Full-Network embedding on multimodal pipelines. - Armand Vilalta; Dario Garcia-Gasulla; Ferran Parés; Eduard Ayguadé; Jesús Labarta; Eduardo Ulises Moya-Sánchez; Ulises Cortés (Semantic Web, 2019)

A Closer Look at Art Mediums: The MAMe Image Classification Dataset. - Ferran Parés; Anna Arias-Duart; Dario Garcia-Gasulla; Gema Campo-Francés; Nina Viladrich; Eduard Ayguadé; Jesús Labarta (CoRR, 2020)

Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods. - Anna Arias-Duart; Ferran Parés; Dario Garcia-Gasulla (CoRR, 2021)

Size & Shape Matters: The Need of HPC Benchmarks of High Resolution Image Training for Deep Learning. - Ferran Parés Pont; Pedro Megias; Dario Garcia-Gasulla; Marta Garcia-Gasulla; Eduard Ayguadé; Jesús Labarta (Supercomput. Front. Innov., 2021)

Focus and Bias: Will It Blend? - Anna Arias-Duart; Ferran Parés; Víctor Giménez-Ábalos; Dario Garcia-Gasulla (CCIA, 2022)

Focus! Rating XAI Methods and Finding Biases. - Anna Arias-Duart; Ferran Parés; Dario Garcia-Gasulla; Victor Gimenez-Abalos (FUZZ-IEEE, 2022)

The MAMe dataset: on the relevance of high resolution and variable shape image properties. - Ferran Parés; Anna Arias-Duart; Dario Garcia-Gasulla; Gema Campo-Francés; Nina Viladrich; Eduard Ayguadé; Jesús Labarta (Appl. Intell., 2022)