Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. - Daniel Madroñal; Raquel Lazcano; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2016)

Demo: HELICoiD tool demonstrator for real-time brain cancer detection. - Rubén Salvador; Himar Fabelo; Raquel Lazcano; Samuel Ortega; Daniel Madroñal; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2016)

HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper. - Rubén Salvador; Samuel Ortega; Daniel Madroñal; Himar Fabelo; Raquel Lazcano; Gustavo M. Callicó; Eduardo Juárez 001; Roberto Sarmiento; César Sanz (Conf. Computing Frontiers, 2017)

Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform. - Raquel Lazcano; Daniel Madroñal; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2017)

Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier. - Daniel Madroñal; Raquel Lazcano; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2017)

High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier. - R. Domingo; Rubén Salvador; Himar Fabelo; Daniel Madroñal; Samuel Ortega; Raquel Lazcano; Eduardo Juárez 001; Gustavo M. Callicó; César Sanz (ReCoSoC, 2017)

Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. - Raquel Lazcano; Daniel Madroñal; Rubén Salvador; Karol Desnos; Maxime Pelcat; Raúl Guerra; Himar Fabelo; Samuel Ortega; Sebastián López; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Syst. Archit., 2017)

SVM-based real-time hyperspectral image classifier on a manycore architecture. - Daniel Madroñal; Raquel Lazcano; Rubén Salvador; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Syst. Archit., 2017)

Automatic instrumentation of dataflow applications using PAPI. - Daniel Madroñal; Antoine Morvan; Raquel Lazcano; Rubén Salvador; Karol Desnos; Eduardo Juárez Martínez; César Sanz (CF, 2018)

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons. - Ernestina Martel; Raquel Lazcano; José Francisco López; Daniel Madroñal; Rubén Salvador; Sebastián López; Eduardo Juárez Martínez; Raúl Guerra; César Sanz; Roberto Sarmiento (Remote. Sens., 2018)

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. - Himar Fabelo; Samuel Ortega; Raquel Lazcano; Daniel Madroñal; Gustavo M. Callicó; Eduardo Juárez 001; Rubén Salvador; Diederik Bulters; Harry Bulstrode; Adam Szolna; Juan F. Piñeiro; Coralia Sosa; et al. (Sensors, 2018)

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. - Giordana Florimbi; Himar Fabelo; Emanuele Torti; Raquel Lazcano; Daniel Madroñal; Samuel Ortega; Rubén Salvador; Francesco Leporati; Giovanni Danese; Abelardo Báez-Quevedo; Gustavo M. Callicó; Eduardo Juárez 001; et al. (Sensors, 2018)

Characterizing Hyperspectral Data Layouts: Performance and Energy Efficiency in Embedded GPUs for PCA-based Dimensionality Reduction. - Jaime Sancho Aragón; Sergio Sánchez Ramírez; Raquel Lazcano López; Daniel Madroñal Quintín; Rubén Salvador Perea; Eduardo Juárez Martínez; César Sanz Álvaro (DCIS, 2019)

Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach. - Francesca Palumbo; Tiziana Fanni; Carlo Sau; Alfonso Rodríguez 002; Daniel Madroñal; Karol Desnos; Antoine Morvan; Maxime Pelcat; Claudio Rubattu; Raquel Lazcano; Luigi Raffo; Eduardo de la Torre; et al. (SAMOS, 2019)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. - Himar Fabelo; Samuel Ortega; Adam Szolna; Diederik Bulters; Juan F. Piñeiro; Silvester Kabwama; Aruma J. O'Shanahan; Harry Bulstrode; Sara Bisshopp; Bangalore Ravi Kiran; Daniele Ravì; Raquel Lazcano; et al. (IEEE Access, 2019)

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. - Raquel Lazcano; Daniel Madroñal; Giordana Florimbi; Jaime Sancho; Sergio Sánchez Ramírez; Raquel León; Himar Fabelo; Samuel Ortega; Emanuele Torti; Rubén Salvador; Margarita Marrero-Martin; Francesco Leporati; et al. (IEEE Access, 2019)

PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI. - Daniel Madroñal; Florian Arrestier; Jaime Sancho; Antoine Morvan; Raquel Lazcano; Karol Desnos; Rubén Salvador; Daniel Ménard; Eduardo Juárez Martínez; César Sanz (IEEE Access, 2019)

Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing. - Raquel Lazcano; Daniel Madroñal; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Signal Process. Syst., 2019)

Runtime multi-versioning and specialization inside a memoized speculative loop optimizer. - Raquel Lazcano; Daniel Madroñal; Eduardo Juárez 001; Philippe Clauss (CC, 2020)

Energy Consumption and Runtime Performance Optimizations Applied to Hyperspectral Imaging Cancer Detection. - Eduardo Juárez 001; Raquel Lazcano; Daniel Madroñal; César Sanz (ISQED, 2022)

FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance. - Argyro Mavrogiorgou; Athanasios Kiourtis; Georgios Makridis; Dimitrios Kotios; Vasileios Koukos; Dimosthenis Kyriazis; John Soldatos 001; Georgios Fatouros; Dimitrios Drakoulis; Pedro Maló; Martin Serrano; Mauro Isaja; et al. (SmartNets, 2023)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. - Himar Fabelo; Samuel Ortega; Daniele Ravì; B. Ravi Kiran 001; Coralia Sosa; Diederik Bulters; Gustavo M. Callicó; Harry Bulstrode; Adam Szolna; Juan F. Piñeiro; Silvester Kabwama; Daniel Madroñal; et al. (CoRR, 2024)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. - Himar Fabelo; Samuel Ortega; Adam Szolna; Diederik Bulters; Juan F. Piñeiro; Silvester Kabwama; Aruma J. O'Shanahan; Harry Bulstrode; Sara Bisshopp; B. Ravi Kiran 001; Daniele Ravì; Raquel Lazcano; et al. (CoRR, 2024)

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons. - Ernestina Martel; Raquel Lazcano; J. Lopez; Daniel Madroñal; Rubén Salvador; Sebastián López; E. Juarez; Raúl Guerra; César Sanz; Roberto Sarmiento (CoRR, 2024)

Monetizing Currency Pair Sentiments through LLM Explainability. - Lior Limonad; Fabiana Fournier; Juan Manuel Vera; Inna Skarbovsky; Shlomit Gur; Raquel Lazcano (CoRR, 2024)