Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs. - Javier Lopez-Fandino; Pablo Quesada-Barriuso; Dora B. Heras; Francisco Argüello (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection. - Becerra Priego; Richard J. Duro; Javier Lopez-Fandino; Dora Blanco Heras; Francisco Argüello (IJCNN, 2016)

CUDA multiclass change detection for remote sensing hyperspectral images using extended morphological profiles. - Javier Lopez-Fandino; Dora Blanco Heras; Francisco Argüello; Richard J. Duro (IDAACS, 2017)

GPU Projection of ECAS-II Segmenter for Hyperspectral Images Based on Cellular Automata. - Javier Lopez-Fandino; Blanca Priego; Dora B. Heras; Francisco Argüello (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Stacked Autoencoders for Multiclass Change Detection in Hyperspectral Images. - Javier Lopez-Fandino; Alberto S. Garea; Dora Blanco Heras; Francisco Argüello (IGARSS, 2018)

GPU Framework for Change Detection in Multitemporal Hyperspectral Images. - Javier Lopez-Fandino; Dora B. Heras; Francisco Argüello; Mauro Dalla Mura (Int. J. Parallel Program., 2019)

Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images. - Javier Lopez-Fandino; Dora B. Heras; Francisco Argüello (J. Supercomput., 2024)

Attention-Based Convolutional Neural Network for Anomaly Detection in Multispectral Images of Semi-Natural Ecosystems. - Javier Lopez-Fandino; Álvaro Ordóñez; Pablo Quesada-Barriuso; Alberto S. Garea; Francisco Argüello; Dora B. Heras (IEEE Geosci. Remote. Sens. Lett., 2025)