Mappings and patterns to improve the triangular matrix product on distributed systems. - Inmaculada Santamaria-Valenzuela; Rocío Carratalá-Sáez; Yuri Torres; Diego R. Llanos; Arturo González-Escribano (CLUSTER Workshops, 2023)

EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs. - Manuel de Castro; Inmaculada Santamaria-Valenzuela; Yuri Torres; Arturo González-Escribano; Diego R. Llanos (J. Supercomput., 2023)

Exploring Scalability in Large-Scale Time Series in DeepVATS framework. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; David Camacho (CoRR, 2024)

Performance improvement of the triangular matrix product in commodity clusters. - Inmaculada Santamaria-Valenzuela; Rocío Carratalá-Sáez; Yuri Torres; Diego R. Llanos; Arturo González-Escribano (J. Supercomput., 2024)

On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; David Camacho (Cogn. Comput., 2025)

Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; Javier Huertas-Tato; Jong Hyuk Park 001; David Camacho (CoRR, 2025)