Evaluation of bioinspired algorithms for the solution of the job scheduling problem. - Edson Flórez; Nelson Diaz; Wilfredo Gómez; Lola Bautista; Dario Delgado (CoRR, 2017)

Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing. - Nelson Diaz; C. Noriega-Wandurraga; Adrian Basarab; Jean-Yves Tourneret; Henry Arguello (CAMSAP, 2019)

Cardiac Motion Estimation Using Convolutional Sparse Coding. - Nelson Diaz; Adrian Basarab; Jean-Yves Tourneret; Henry Arguello Fuentes (EUSIPCO, 2019)

Compressive Classification via Deep Learning using Single-Pixel Measurements. - Jorge Bacca; Nelson Diaz; Henry Arguello (DCC, 2020)

Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS). - Nelson Diaz; Omar Gallo; Jhon Caceres; Hernan Porras (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Adaptive Multisensor Acquisition via Spatial Contextual Information for Compressive Spectral Image Classification. - Nelson Diaz; Juan Marcos Ramirez; Esteban Vera; Henry Arguello (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hen datacube with ground truth. - Nelson Diaz; Juan Marcos Ramirez; Esteban Vera; Henry Arguello (IEEE DataPort, 2021)

Multispectral Filter Array Design by Optimal Sphere Packing. - Nelson Diaz; Alejandro Alvarado; Pablo Meza; Felipe Guzmán; Esteban Vera (IEEE Trans. Image Process., 2023)

Scalable Coding for High-Resolution, High-Compression Ratio Snapshot Compressive Video. - Felipe Guzmán; Nelson Diaz; Bastián Romero; Esteban Vera (IEEE Trans. Image Process., 2025)