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ORCIDRaquel Lazcano
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2020 – today
- 2024
[i5]Himar Fabelo, Samuel Ortega, D. Ravi, B. R. Kiran, C. Sosa, Diederik Bulters, Gustavo Marrero Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J. O'Shanahan, Sara Bisshopp, M. Hernandez, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, R. Salvador, E. Juarez, R. Sarmiento:
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. CoRR abs/2402.07192 (2024)- [i4]Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. R. Kiran, D. Ravi, Raquel Lazcano, Daniel Madroñal, C. Sosa, Carlos Espino Palma, M. Marquez, Maria De La Luz Plaza, R. Camacho, D. Carrera, M. Hernandez, Gustavo Marrero Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez, César Sanz, R. Sarmiento:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. CoRR abs/2402.10776 (2024) - [i3]Ernestina Martel, Raquel Lazcano, J. Lopez, Daniel Madroñal, Rubén Salvador, Sebastián López, E. Juarez, Raúl Guerra, César Sanz, Roberto Sarmiento:
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons. CoRR abs/2403.18321 (2024) - [i2]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, Eduardo Juárez, Gustavo Marrero Callicó, César Sanz:
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. CoRR abs/2404.10631 (2024) - [i1]Lior Limonad, Fabiana Fournier, Juan Manuel Vera, Inna Skarbovsky, Shlomit Gur, Raquel Lazcano:
Monetizing Currency Pair Sentiments through LLM Explainability. CoRR abs/2407.19922 (2024) - 2023
- [c12]Argyro Mavrogiorgou, Athanasios Kiourtis, Georgios Makridis, Dimitrios Kotios, Vasileios Koukos, Dimosthenis Kyriazis, John Soldatos, Georgios Fatouros, Dimitrios Drakoulis, Pedro Maló, Martin Serrano, Mauro Isaja, Raquel Lazcano, Juan Manuel Vera, Fabiana Fournier, Lior Limonad, Konstantinos Perakis, Dimitrios Miltiadou, Pavlos Kranas, Alper Sen, Irene Zattarin, Ernesto Troiano:
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance. SmartNets 2023: 1-6 - 2022
- [c11]Eduardo Juárez, Raquel Lazcano, Daniel Madroñal, César Sanz:
Energy Consumption and Runtime Performance Optimizations Applied to Hyperspectral Imaging Cancer Detection. ISQED 2022: 1-8 - [e1]Raquel Lazcano López, Daniel Madroñal Quintín, Francesca Palumbo, Christian Pilato, Armando Tacchella:
Proceedings of the CPS Summer School PhD Workshop 2022 co-located with 4th Edition of the CPS Summer School (CPS 2022), Pula, Sardinia (Italy), September 19-23, 2022. CEUR Workshop Proceedings 3252, CEUR-WS.org 2022 [contents] - 2020
- [c10]Raquel Lazcano, Daniel Madroñal
, Eduardo Juárez, Philippe Clauss:
Runtime multi-versioning and specialization inside a memoized speculative loop optimizer. CC 2020: 96-107
2010 – 2019
- 2019
- [j9]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, Daniel Madroñal, Coralia Sosa, Carlos Espino Palma, Mariano Márquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, María Hernández, Gustavo Marrero Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez Martínez, César Sanz, Roberto Sarmiento:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access 7: 39098-39116 (2019) - [j8]Daniel Madroñal, Florian Arrestier, Jaime Sancho, Antoine Morvan, Raquel Lazcano, Karol Desnos, Rubén Salvador, Daniel Ménard, Eduardo Juárez Martínez, César Sanz:
PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI. IEEE Access 7: 111801-111812 (2019) - [j7]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, Eduardo Juárez Martínez, Gustavo Marrero Callicó, César Sanz:
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. IEEE Access 7: 152316-152333 (2019) - [j6]Raquel Lazcano, Daniel Madroñal, Himar Fabelo, Samuel Ortega, Rubén Salvador, Gustavo Marrero Callicó, Eduardo Juárez Martínez, César Sanz:
Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing. J. Signal Process. Syst. 91(7): 759-771 (2019) - [c9]Jaime Sancho Aragón, Sergio Sánchez Ramírez, Raquel Lazcano López, Daniel Madroñal Quintín, Rubén Salvador Perea, Eduardo Juárez Martínez, César Sanz Álvaro:
Characterizing Hyperspectral Data Layouts: Performance and Energy Efficiency in Embedded GPUs for PCA-based Dimensionality Reduction. DCIS 2019: 1-6 - [c8]Francesca Palumbo, Tiziana Fanni, Carlo Sau, Alfonso Rodríguez, Daniel Madroñal, Karol Desnos, Antoine Morvan, Maxime Pelcat, Claudio Rubattu, Raquel Lazcano, Luigi Raffo, Eduardo de la Torre, Eduardo Juárez, César Sanz, Pablo Sanchez de Rojas:
Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach. SAMOS 2019: 416-428 - 2018
- [j5]Ernestina Martel, Raquel Lazcano, José Francisco López, Daniel Madroñal, Rubén Salvador, Sebastián López, Eduardo Juárez Martínez, Raúl Guerra, César Sanz, Roberto Sarmiento:
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons. Remote. Sens. 10(6): 864 (2018) - [j4]Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo Marrero Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, María Hernández, Jesús Morera, Daniele Ravì, B. Ravi Kiran, Aurelio Vega, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, Roberto Sarmiento:
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. Sensors 18(2): 430 (2018) - [j3]Giordana Florimbi, Himar Fabelo, Emanuele Torti, Raquel Lazcano, Daniel Madroñal, Samuel Ortega, Rubén Salvador, Francesco Leporati, Giovanni Danese, Abelardo Báez-Quevedo, Gustavo Marrero Callicó, Eduardo Juárez, César Sanz, Roberto Sarmiento:
Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors 18(7): 2314 (2018) - [c7]Daniel Madroñal, Antoine Morvan, Raquel Lazcano, Rubén Salvador, Karol Desnos, Eduardo Juárez Martínez, César Sanz:
Automatic instrumentation of dataflow applications using PAPI. CF 2018: 232-235 - 2017
- [j2]Raquel Lazcano, Daniel Madroñal, Rubén Salvador, Karol Desnos, Maxime Pelcat, Raúl Guerra, Himar Fabelo, Samuel Ortega, Sebastián López, Gustavo Marrero Callicó, Eduardo Juárez Martínez, César Sanz:
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. J. Syst. Archit. 77: 101-111 (2017) - [j1]Daniel Madroñal, Raquel Lazcano, Rubén Salvador, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó, Eduardo Juárez Martínez, César Sanz:
SVM-based real-time hyperspectral image classifier on a manycore architecture. J. Syst. Archit. 80: 30-40 (2017) - [c6]Rubén Salvador, Samuel Ortega, Daniel Madroñal, Himar Fabelo, Raquel Lazcano, Gustavo Marrero Callicó, Eduardo Juárez, Roberto Sarmiento, César Sanz:
HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper. Conf. Computing Frontiers 2017: 313-318 - [c5]Raquel Lazcano, Daniel Madroñal, Himar Fabelo, Samuel Ortega, Rubén Salvador, Gustavo Marrero Callicó, Eduardo Juárez, César Sanz:
Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform. DASIP 2017: 1-6 - [c4]Daniel Madroñal, Raquel Lazcano, Himar Fabelo, Samuel Ortega, Rubén Salvador, Gustavo Marrero Callicó, Eduardo Juárez, César Sanz:
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier. DASIP 2017: 1-6 - [c3]R. Domingo, Rubén Salvador, Himar Fabelo, Daniel Madroñal, Samuel Ortega, Raquel Lazcano, Eduardo Juárez, Gustavo Marrero Callicó, César Sanz:
High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier. ReCoSoC 2017: 1-8 - 2016
- [c2]Daniel Madroñal, Raquel Lazcano, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó, Eduardo Juárez, César Sanz:
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. DASIP 2016: 154-160 - [c1]Rubén Salvador, Himar Fabelo, Raquel Lazcano, Samuel Ortega, Daniel Madroñal, Gustavo Marrero Callicó, Eduardo Juárez, César Sanz:
Demo: HELICoiD tool demonstrator for real-time brain cancer detection. DASIP 2016: 237-238
Coauthor Index
aka: Daniel Madroñal Quintín
aka: Rubén Salvador Perea
aka: César Sanz Álvaro
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