Sensitivity of rheoencephalographic measurements to spatial brain electrical conductivity. - Enrique Guijarro; Juan J. Pérez; Enrique J. Berjano; Pedro Ortiz (EMBC, 2006)

A Cancer Diagnostics Biosensor System Based on Micro- and Nano-technologies. - Pedro Ortiz; Neil Keegan; Julia Spoors; John Hedley; Alun Harris; Jim Burdess; Richie Burnett; Margit Biehl; Werner Haberer; Thomas Velten; Matthew Solomon; Andrew Campitelli; et al. (NanoNet, 2009)

A Microtext Corpus for Persuasion Detection in Dialog. - Joel Young; Craig H. Martell; Pranav Anand; Pedro Ortiz; Henry Tucker Gilbert IV (Analyzing Microtext, 2011)

Improving the stability bound for the PPH nonlinear subdivision scheme for data coming from strictly convex functions. - Isabel Jiménez; Pedro Ortiz; Juan Ruiz 001; Juan Carlos Trillo; Dionisio F. Yáñez (Appl. Math. Comput., 2021)

A nonlinear PPH-type reconstruction based on equilateral triangles. - Sergio Amat; Pedro Ortiz; Juan Ruiz 001; Juan Carlos Trillo; Dionisio F. Yáñez (CoRR, 2022)

Decomposing Satellite-Based Classification Uncertainties in Large Earth Science Datasets. - Pedro Ortiz; Marko Orescanin; Veljko Petkovic; Scott W. Powell; Benjamin R. Marsh (IEEE Trans. Geosci. Remote. Sens., 2022)

Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures. - Eleanor Casas; Pedro Ortiz; Marko Orescanin; Scott W. Powell; Malarvizhi Arulaj; Veljko Petkovic (IGARSS, 2023)

Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition. - Pedro Ortiz; Eleanor Casas; Marko Orescanin; Scott W. Powell; Veljko Petkovic (IGARSS, 2023)

The translation operator. Applications to nonlinear reconstruction operators on nonuniform grids. - Sergio Amat; Pedro Ortiz; Juan Ruiz 001; Juan Carlos Trillo; Dionisio F. Yáñez (Math. Comput. Simul., 2023)

Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification. - Erick Capulong; Marko Orescanin; Pedro Ortiz; Patrick McClure (ICMLA, 2024)

Beyond Mean Squared Error: Alternative Loss Functions for Geoscience Image Regression with Neural Networks. - Stephen Steckler; Marko Orescanin; Pedro Ortiz; Veljko Petkovic (IGARSS, 2024)

Scaling Uncertainty Quantification From Patches to Scenes Through Discontinuity-Aware Stitching. - Stephen Steckler; Marko Orescanin; Scott W. Powell; Pedro Ortiz; Veljko Petkovic (IEEE Geosci. Remote. Sens. Lett., 2024)

On the stability of the PPH subdivision scheme on nonuniform grids. - Pedro J. Martínez-Aparicio; Pedro Ortiz; Juan Carlos Trillo (Math. Comput. Simul., 2025)