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1,517 results on '"Perez, Eduardo A."'

1. Learning Structured Compressed Sensing with Automatic Resource Allocation

Author

Wang, Han, Pérez, Eduardo, Huijben, Iris A. M., van Gorp, Hans, van Sloun, Ruud, and Römer, Florian

Subjects
Computer Science - Machine Learning
Abstract

Multidimensional data acquisition often requires extensive time and poses significant challenges for hardware and software regarding data storage and processing. Rather than designing a single compression matrix as in conventional compressed sensing, structured compressed sensing yields dimension-specific compression matrices, reducing the number of optimizable parameters. Recent advances in machine learning (ML) have enabled task-based supervised learning of subsampling matrices, albeit at the expense of complex downstream models. Additionally, the sampling resource allocation across dimensions is often determined in advance through heuristics. To address these challenges, we introduce Structured COmpressed Sensing with Automatic Resource Allocation (SCOSARA) with an information theory-based unsupervised learning strategy. SCOSARA adaptively distributes samples across sampling dimensions while maximizing Fisher information content. Using ultrasound localization as a case study, we compare SCOSARA to state-of-the-art ML-based and greedy search algorithms. Simulation results demonstrate that SCOSARA can produce high-quality subsampling matrices that achieve lower Cram\'er-Rao Bound values than the baselines. In addition, SCOSARA outperforms other ML-based algorithms in terms of the number of trainable parameters, computational complexity, and memory requirements while automatically choosing the number of samples per axis., Comment: Unsupervised Learning, Information Theory, Compressed Sensing, Subsampling

Published
2024

2. Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges

Author

Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyana C., Lietz, Justin G., Georgiadou, Antigoni, and Pérez, Eduardo Antonio Coello

Subjects
Physics - Fluid Dynamics, Quantum Physics
Abstract

The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particularly linear solvers, have illuminated the path toward quantum solutions for classical fluid flow solvers. However, assessing the capability of these quantum linear systems algorithms (QLSAs) in solving ideal flow equations on real hardware is crucial for their future development in practical fluid flow applications. In this study, we examine the capability of a canonical QLSA, the Harrow-Hassidim-Lloyd (HHL) algorithm, in accurately solving the system of linear equations governing an idealized fluid flow problem, specifically the Hele-Shaw flow. Our investigation focuses on analyzing the accuracy and computational cost of the HHL solver. To gauge the stability and convergence of the solver, we conduct shots-based simulations on quantum simulators. Furthermore, we share insights gained from executing the HHL solver on superconducting quantum devices. To mitigate errors arising from qubit measurement, gate operations, and qubit decoherence inherent in quantum devices, we employ various error suppression and mitigation techniques. Our preliminary assessments serve as a foundational step towards enabling more complex quantum utility scale evaluation of using QLSA for solving fluid flow problems.

Published
2024
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3. Integrating Quantum Computing Resources into Scientific HPC Ecosystems

Author

Beck, Thomas, Baroni, Alessandro, Bennink, Ryan, Buchs, Gilles, Perez, Eduardo Antonio Coello, Eisenbach, Markus, da Silva, Rafael Ferreira, Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyan, Groszkowski, Peter, Humble, Travis S., Landfield, Ryan, Maheshwari, Ketan, Oral, Sarp, Sandoval, Michael A., Shehata, Amir, Suh, In-Saeng, and Zimmer, Christopher

Subjects
Quantum Physics, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era's inherent external noise issues. This paper discusses the integration of QC as a computational accelerator within classical scientific high-performance computing (HPC) systems. By leveraging a broad spectrum of simulators and hardware technologies, we propose a hardware-agnostic framework for augmenting classical HPC with QC capabilities. Drawing on the HPC expertise of the Oak Ridge National Laboratory (ORNL) and the HPC lifecycle management of the Department of Energy (DOE), our approach focuses on the strategic incorporation of QC capabilities and acceleration into existing scientific HPC workflows. This includes detailed analyses, benchmarks, and code optimization driven by the needs of the DOE and ORNL missions. Our comprehensive framework integrates hardware, software, workflows, and user interfaces to foster a synergistic environment for quantum and classical computing research. This paper outlines plans to unlock new computational possibilities, driving forward scientific inquiry and innovation in a wide array of research domains.

Published
2024
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4. Misspecification of Multiple Scattering in Scalar Wave Fields and its Impact in Ultrasound Tomography

Author

Pérez, Eduardo, Semper, Sebastian, Kodera, Sayako, Römer, Florian, and Del Galdo, Giovanni

Subjects
Electrical Engineering and Systems Science - Signal Processing, Physics - Medical Physics
Abstract

In this work, we investigate the localization of targets in the presence of multiple scattering. We focus on the often omitted scenario in which measurement data is affected by multiple scattering, and a simpler model is employed in the estimation. We study the impact of such model mismatch by means of the Misspecified Cram\'er-Rao Bound (MCRB). In numerical simulations inspired by tomographic inspection in ultrasound nondestructive testing, the MCRB is shown to correctly describe the estimation variance of localization parameters under misspecification of the wave propagation model. We provide extensive discussion on the utility of the MCRB in the practical task of verifying whether a chosen misspecified model is suitable for localization based on the properties of the maximum likelihood estimator and the nuanced distinction between bias and parameter space differences. Finally, we highlight that careful interpretation is needed whenever employing the classical CRB in the presence of mismatch through numerical examples based on the Born approximation and other simplified propagation models stemming from it., Comment: 17 pages, 7 figures

Published
2024
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5. Integrating AI in NDE: Techniques, Trends, and Further Directions

Author

Pérez, Eduardo, Ardic, Cemil Emre, Çakıroğlu, Ozan, Jacob, Kevin, Kodera, Sayako, Pompa, Luca, Rachid, Mohamad, Wang, Han, Zhou, Yiming, Zimmer, Cyril, Römer, Florian, and Osman, Ahmad

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

The digital transformation is fundamentally changing our industries, affecting planning, execution as well as monitoring of production processes in a wide range of application fields. With product line-ups becoming more and more versatile and diverse, the necessary inspection and monitoring sparks significant novel requirements on the corresponding Nondestructive Evaluation (NDE) systems. The establishment of increasingly powerful approaches to incorporate Artificial Intelligence (AI) may provide just the needed innovation to solve some of these challenges. In this paper we provide a comprehensive survey about the usage of AI methods in NDE in light of the recent innovations towards NDE 4.0. Since we cannot discuss each NDE modality in one paper, we limit our attention to magnetic methods, ultrasound, thermography, as well as optical inspection. In addition to reviewing recent AI developments in each field, we draw common connections by pointing out NDE-related tasks that have a common underlying mathematical problem and categorizing the state of the art according to the corresponding sub-tasks. In so doing, interdisciplinary connections are drawn that provide a more complete overall picture.

Published
2024

6. Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging

Author

Wang, Han, Kvich, Yhonatan, Pérez, Eduardo, Römer, Florian, and Eldar, Yonina C.

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as a case study. We propose an analytical convolutional forward model that transforms reflectivity maps into FMC data. Our findings demonstrate that the convolutional model excels over its matrix-based counterpart in terms of computational efficiency and storage requirements. This accelerated forward modeling approach holds significant potential for various inverse problems, notably enhancing Sparse Signal Recovery (SSR) within the context LASSO regression, which facilitates efficient Convolutional Sparse Coding (CSC) algorithms. Additionally, we explore the integration of Convolutional Neural Networks (CNNs) for the forward model, employing deep unfolding to implement the Learned Block Convolutional ISTA (BC-LISTA)., Comment: 5 pages, 7 figures, accepted by EUSIPCO-2024

Published
2024

8. Jointly Learning Selection Matrices For Transmitters, Receivers And Fourier Coefficients In Multichannel Imaging

Author

Wang, Han, Zhou, Yiming, Perez, Eduardo, and Roemer, Florian

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This paper introduces the Joint Deep Probabilistic Subsampling (J-DPS) method, which aims to learn optimal selection matrices simultaneously for transmitters, receivers, and Fourier coefficients. This task-based algorithm is realized by introducing a specialized measurement model and integrating a customized Complex Learned FISTA (CL-FISTA) network. We propose a parallel network architecture, partitioned into three segments corresponding to the three matrices, all working toward a shared optimization objective with adjustable loss allocation. A synthetic dataset is designed to reflect practical scenarios, and we provide quantitative comparisons with a traditional CRB-based algorithm, standard DPS, and J-DPS.

Published
2024

9. Adiabatic Quantum Support Vector Machines

Author

Date, Prasanna, Woun, Dong Jun, Hamilton, Kathleen, Perez, Eduardo A. Coello, Shekhar, Mayanka Chandra, Rios, Francisco, Gounley, John, Suh, In-Saeng, Humble, Travis, and Tourassi, Georgia

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Quantum Physics, Statistics - Machine Learning
Abstract

Adiabatic quantum computers can solve difficult optimization problems (e.g., the quadratic unconstrained binary optimization problem), and they seem well suited to train machine learning models. In this paper, we describe an adiabatic quantum approach for training support vector machines. We show that the time complexity of our quantum approach is an order of magnitude better than the classical approach. Next, we compare the test accuracy of our quantum approach against a classical approach that uses the Scikit-learn library in Python across five benchmark datasets (Iris, Wisconsin Breast Cancer (WBC), Wine, Digits, and Lambeq). We show that our quantum approach obtains accuracies on par with the classical approach. Finally, we perform a scalability study in which we compute the total training times of the quantum approach and the classical approach with increasing number of features and number of data points in the training dataset. Our scalability results show that the quantum approach obtains a 3.5--4.5 times speedup over the classical approach on datasets with many (millions of) features.

Published
2024

12. The UNESCO World Heritage List in a Globalized World: The Case of the Paleolithic Caves of Northern Spain (1985–2008)

Author

Pérez, Eduardo Palacio, Eerkens, Jelmer, Series Editor, Çakırlar, Canan, Editorial Board Member, Iizuka, Fumie, Editorial Board Member, Seetah, Krish, Editorial Board Member, Sugranes, Nuria, Editorial Board Member, Tushingham, Shannon, Editorial Board Member, Wilson, Chris, Editorial Board Member, Abadía, Oscar Moro, editor, Conkey, Margaret W., editor, and McDonald, Josephine, editor

Published
2024
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13. Integration of Memristive Devices into a 130 nm CMOS Baseline Technology

Author

Mahadevaiah, Mamathamba Kalishettyhalli, Lisker, Marco, Fraschke, Mirko, Marschmeyer, Steffen, Perez, Eduardo, Quesada, Emilio Perez-Bosch, Wenger, Christian, Mai, Andreas, Kasabov, Nikola, Series Editor, Amari, Shun-ichi, Editorial Board Member, Avesani, Paolo, Editorial Board Member, Benuskova, Lubica, Editorial Board Member, Brown, Chris M., Editorial Board Member, Duro, Richard J., Editorial Board Member, Georgieva, Petia, Editorial Board Member, Hou, Zeng-Guang, Editorial Board Member, Indiveri, Giacomo, Editorial Board Member, King, Irwin, Editorial Board Member, Kozma, Robert, Editorial Board Member, König, Andreas, Editorial Board Member, Mandic, Danilo, Editorial Board Member, Masulli, Francesco, Editorial Board Member, Thivierge, JeanPhilippe, Editorial Board Member, Villa, Allessandro E.P., Editorial Board Member, Ziegler, Martin, editor, Mussenbrock, Thomas, editor, and Kohlstedt, Hermann, editor

Published
2024
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14. A Contemporary Picture of Coagulase-Negative Staphylococcal Endocarditis: A Nationwide GAMES Cohort Study

Author

Fernández Sánchez, Fernando, García de Lomas, José M., Rosas, Gabriel, de la Torre Lima, Javier, Bereciartua, Elena, Blanco Vidal, María José, Blanco, Roberto, Boado, María Victoria, Lázaro, Marta Campaña, Crespo, Alejandro, Carrión, Laura Guio, Martínez de Lagos, Mikel Del Álamo, Ugarte, Gorane Euba, Goikoetxea, Ane Josune, Hierro, Marta Ibarrola, Iruretagoyena, José Ramón, Zuazabal, Josu Irurzun, López-Soria, Leire, Montejo, Miguel, Nieto, Javier, Rodrigo, David, Rodríguez, Regino, Vitoria, Yolanda, Voces, Roberto, García López, M<ce:sup loc='post">a</ce:sup> Victoria, Georgieva, Radka Ivanova, Ojeda, Guillermo, Bailón, Isabel Rodríguez, Morales, Josefa Ruiz, Rodríguez, Ignacio Álvarez, Galparsoro, Harkaitz Azkune, Boronat, Elisa Berritu, Odriozola, M<ce:sup loc='post">a</ce:sup> Jesús Bustinduy, Martín, Cristina del Bosque, Echeverría, Tomás, Yarza, Alberto Eizaguirre, Fuentes, Ana, Goenaga, Miguel Ángel, del Río, Muskilda Goyeneche, Bauza, Ángela Granda, Iribarren, José Antonio, Urkola, Xabier Kortajarena, Pérez-Moreiras López, José Ignacio, Jiménez, Ainhoa Rengel, Reviejo, Karlos, Berbejillo, Alberto Sáez, Haza, Elou Sánchez, Alda, Rosa Sebastián, Ruiz, Itziar Solla, Ugartemendia, Irati Unamuno, Anza, Diego Vicente, Villanueva Benito, Iñaki, Arrieta, Mar Zabalo, Carrasco, Rafael, Climent, Vicente, Llamas, Patricio, Merino, Esperanza, Plazas, Joaquín, Reus, Sergio, Alonso, Alicia, Bouzas, Alberto, Castelo, Brais, Cuenca, José, Gutiérrez, Laura, Ramos, Lucía, Mayo, María Rodríguez, Serrano, Joaquín Manuel, Regueiro, Dolores Sousa, Martínez Marcos, Francisco Javier, M, del Mar Alonso, Castro, Beatriz, Melian, Teresa Delgado, Sarabia, Javier Fernández, Rosado, Dácil García, González González, Julia, Lacalzada, Juan, de la Peña, Lissete Lorenzo, Ramírez, Alina Pérez, Arrondo, Pablo Prada, Moreno, Fermín Rodríguez, Ciezar, Antonio Plata, Reguera Iglesias, José M<ce:sup loc='post">a</ce:sup>, Asensi Álvarez, Víctor, Álvarez Cabo, Rubén, Caminal, Luis, de la Hera, Jesús, García, Laura, Iglesias Fraile, Lisardo, León Arguero, Víctor, Bajo, Pilar Mencia, Morales Pérez, Carlos, Rodríguez García, Raquel, Rodríguez Esteban, M<ce:sup loc='post">a</ce:sup> Ángeles, Silva, Jacobo, Almela, Manuel, Ambrosioni, Juan, Azqueta, Manuel, Brunet, Mercè, Bodro, Marta, Cartañá, Ramón, Cuervo, Guillermo, Falces, Carlos, Fernández-Pittol, Mariana J., Fita, Guillermina, Fuster, David, de la Mària, Cristina García, García-Pares, Delia, Hernández-Meneses, Marta, Pérez, Jaume Llopis, Marco, Francesc, Miró, José M., Moreno, Asunción, Nicolás, David, Ninot, Salvador, Quintana, Eduardo, Paré, Carlos, Pereda, Daniel, Pericás, Juan M., Pomar, José L., Ramírez, José, Roque, Mercè, Rovira, Irene, Sandoval, Elena, Sitges, Marta, Soy, Dolors, Téllez, Adrián, Tolosana, José M., Vidal, Bárbara, Vila, Jordi, Adán, Iván, Alonso, David, Alonso, Juan Carlos, Álvarez-Uría, Ana, Bermejo, Javier, Bouza, Emilio, Caballero, Gregorio Cuerpo, Montero, Antonia Delgado, Estévez, Agustín, Fortuny Ribas, Ramón, Gargallo, Esther, García Leoni, M<ce:sup loc='post">a</ce:sup> Eugenia, González Mansilla, Ana, González Moraga, Francisco Javier, González Ramallo, Víctor, Kestler Hernández, Martha, Hualde, Amaia Mari, Machado, Marina, Marín, Mercedes, Martínez-Sellés, Manuel, Melero, Rosa, Muñoz, Patricia, Monzón, Diego, Olmedo, María, Pedraz, Álvaro, Pinilla, Blanca, Pinto, Ángel, Rincón, Cristina, Rodríguez-Abella, Hugo, Rodríguez-Créixems, Marta, Sánchez-Pérez, Eduardo, Segado, Antonio, Toledo, Neera, Valerio, Maricela, Vázquez, Pilar, Moreno, Eduardo Verde, de la Villa, Sofía, Antorrena, Isabel, Loeches, Belén, Moreno, Mar, Ramírez, Ulises, Bastón, Verónica Rial, Romero, María, Rosillo, Sandra, Agüero Balbín, Jesús, Amado Fernández, Cristina, Armiñanzas Castillo, Carlos, Arnaiz de las Revillas, Francisco, Cobo Belaustegui, Manuel, Carmen Fariñas, María, Fariñas-Álvarez, Concepción, Fernández Sampedro, Marta, García, Iván, Garrido, Raquel, González Rico, Claudia, Gutiérrez-Fernández, Laura, Gutiérrez-Cuadra, Manuel, Gutiérrez Díez, José, Pajarón, Marcos, Parra, José Antonio, Alonso, Noelia Ruiz, Teira, Ramón, Zarauza, Jesús, Parra, Jorge Calderón, Cobo, Marta, Domínguez, Fernando, García Pavía, Pablo, Fernández Cruz, Ana, López Azor, Juan Carlos, Ramos-Martínez, Antonio, Romero, Isabel Sánchez, Centella, Tomasa, Cobo, Javier, Gioia, Francesca, Hermida, José Manuel, Moya, José Luis, Martín-Dávila, Pilar, Navas, Enrique, Oliva, Enrique, del Río, Alejandro, Rodríguez-Roda Stuart, Jorge, Ruiz, Soledad, Hidalgo Tenorio, Carmen, Sequera, Sergio, Almendro Delia, Manuel, Araji, Omar, Barquero, José Miguel, Calvo Jambrina, Román, de Cueto, Marina, Gálvez Acebal, Juan, Méndez, Irene, Morales, Isabel, López-Cortés, Luis Eduardo, de Alarcón, Arístides, Gutiérrez-Carretero, Encarnación, Lepe, José Antonio, López-Haldón, José, Luque-Márquez, Rafael, Marín, Guillermo, Ortiz-Carrellán, Antonio, Poyato Borrego, Manuel, Sánchez-Domínguez, Eladio, Alonso, Luis Javier, Azcárate, Pedro, Azcona Gutiérrez, José Manuel, Blanco, José Ramón, Armas, Estíbaliz Corral, García-Álvarez, Lara, Oteo, José Antonio, Barros Membrilla, Antonio, Ginel Iglesias, Antonino, Grillo, Sara, Petracca, Rubén Leta, López-Contreras, Joaquín, Rivera Martínez, María Alba, Álvarez, M., Fernández, A.L., Martínez, Amparo, Prieto, A., Regueiro, Benito, Tijeira, E., Vega, Marino, Aguirre Quiñonero, Amaia, Miñambres, Ángela Alonso, Gainzarain Arana, Juan Carlos, de Alaiza Ortega, Sara González, Morán Rodríguez, Miguel Ángel, Moreno Rodríguez, Anai, Ortiz de Zárate, Zuriñe, Zapirain, José Joaquín Portu, de Adana Arroniz, Ester Sáez, Sorto Sánchez, Daisy Carolina, Antonio, Sánchez-Porto, Alejandro, Úbeda Iglesias, Albert, Laura, Cánovas, Sergio, Vázquez, Elisa García, Torres, Alicia Hernández, Blázquez, Ana, de la Morena Valenzuela, Gonzalo, de Gea, José H., Martínez Toldos, M<ce:sup loc='post">a</ce:sup> Carmen, Escudero, Encarnación Moral, Oliva, M<ce:sup loc='post">a</ce:sup> José, Ortín, Alejandro, Pérez Andreu, Joaquín, Piloto, Avchel Roura, Saura, Daniel, Alonso, Ángel, Aramburu, Javier, Calvo, Felicitas Elena, Tarabini-Castellani, Paola, Heredero Gálvez, Eva, Bellido, Carolina Maicas, Largo Pau, José, Sepúlveda, M<ce:sup loc='post">a</ce:sup> Antonia, Toledano Sierra, Pilar, Zafar Iqbal-Mirza, Sadaf, Alcolea, Eva Cascales, Yañez, Ivan Keituqwa, Navarro Martínez, Julián, Peláez Ballesta, Ana, Moreno Escobar, Eduardo, Peña Monje, Alejandro, Sánchez Cabrera, Valme, Vinuesa García, David, Arrizabalaga Asenjo, María, Cifuentes Luna, Carmen, Núñez Morcillo, Juana, Pérez Seco, M<ce:sup loc='post">a</ce:sup> Cruz, Villoslada Gelabert, Aroa, Aured Guallar, Carmen, Abad, Nuria Fernández, Mangas, Pilar García, Matamala Adell, Marta, Palacián Ruiz, M<ce:sup loc='post">a</ce:sup> Pilar, Porres, Juan Carlos, Vidal, Begoña Alcaraz, Del Amor Espín, María Jesús, Buendía, Francisco, Sánchez, Roberto Jiménez, Mármol, Rosario, Martínez, Francisco, Meseguer, Antonio, Pérez, Beatriz, Risco, Leticia, Saura, Zoser, Silva, Vanina, Villmarín, M<ce:sup loc='post">a</ce:sup> Belén, Ribas Blanco, M<ce:sup loc='post">a</ce:sup> Ángels, de Gopegui Bordes, Enrique Ruiz, Vidal Bonet, Laura, Vives Borràs, Miquel, Bellón Munera, M<ce:sup loc='post">a</ce:sup> Carmen, Escribano Garaizabal, Elena, Tercero Martínez, Antonia, Segura Luque, Juan Carlos, Badía, Cristina, Boix-Palop, Lucía, Xercavins, Mariona, Ibars, Sónia, Fernández- Paniagua, Estefanía Águila, Bosch, Xerach, Gilarranz Luengo, Raúl, Gómez Nebreda, Eloy, Herrera, Ibalia Horcajada, Menduiña Gallego, Irene, Mohamed Ramírez, Karim, Pulido, Imanol, Nelson, Verónica Quevedo, Urso, Stefano, Santiago, Héctor Marrero, de Miguel Martínez, Isabel, Álamo, Elena Pisos, San Román Sánchez, Daniel, Pérez, Jorge Boan, Aguilar Blanco, Eva M., González, Mercedes Catalán, Corres Peiretti, María Angélica, Esteve, Andrea Eixerés, Pérez, Laura Domínguez, de Cossío Tejido, Santiago, Galván Román, Francisco, García Robles, José Antonio, López-Medrano, Francisco, López Gude, M<ce:sup loc='post">a</ce:sup> Jesús, Orellana Miguel, M<ce:sup loc='post">a</ce:sup> Ángeles, Pilkington, Patrick, Ostalaza, Yolanda Revilla, Morales, Juan Ruiz, Solís, Sebastián Ruiz, Collado, Ana Sabín, Sánchez Fernández, Marcos, Rallo, Javier Solera, Martín, Jorge Solís, Escrihuela-Vidal, Francesc, Carratalà, Jordi, Grau, Imma, Ardanuy, Carmen, Berbel, Dámaris, Alegre, Oriol, Mañas Jiménez, María Pilar, Notta Gonzalez, Paula Cecilia, Sbraga, Fabrizio, Blasco, Arnau, Gracia Sánchez, Laura, Sánchez-Rodríguez, Iván, Aldamiz, Gonzalo, Álvarez, Beatriz, Bernal Palacios, Marina, Cabello Úbeda, Alfonso, Fernández Roblas, Ricardo, Hernández, Rafael, Hortigüela Martín, Victoria Andrea, Kallmeyer, Andrea, Kancev, Cristina Landaeta, Martín, Marta, Ruiz, Miguel Morante, Navas Lobato, Miguel Ángel, Pello, Ana María, Prieto, Laura, Mallebrera, Marta Tomás, Varela, Laura, de la Peña Triguero, Mireia, Cerón, Ruth Esther Figueroa, Gómez, Lara Ruiz, Ble, Mireia, Horcajada Gallego, Juan Pablo, Ginel, Antonio José, López, Inmaculada, Mas, Alexandra, Mestres, Antoni, Molina, Lluís, Serrat, Ramón, Ribas, Núria, Sánchez, Francisca, Silverio, Ana, Suárez, Marina, Sorlí, Luisa, Recasens, Lluís, Taurón, Manuel, Fernández Regueras, María, Mantecón Vallejo, María Ángeles, Pérez Rivera, José Ángel, Mata, Nuria Sánchez, Calvo Cano, Antonia, Fajardo Olivares, Miguel, Millán Núñez, María Victoria, Muñoz Sanz, Agustín, Palom-Grau, Clara, Marín Arriaza, Mercedes, González-Ramallo, Víctor, Poyato-Borrego, Manuel, Rodríguez-García, Raquel, Rodríguez-Esteban, M. Ángeles, Fariñas, M. Carmen, González-Rico, Claudia, Ojeda-Burgos, Guillermo, Goikoetxea-Agirre, Ane Josune, Calderón-Parra, Jorge, López-Azor, Juan Carlos, García-Vázquez, Elisa, Quintana, Eduard, García de la Mària, Cristina, and Llopis, Jaume

Published
2025
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18. Mack-Net model: Blending Mack's model with Recurrent Neural Networks

Author

Ramos-Pérez, Eduardo, Alonso-González, Pablo J., and Núñez-Velázquez, José Javier

Subjects
Quantitative Finance - Risk Management, Quantitative Finance - Computational Finance, 62-07, 62P05, 65C60, 90-08
Abstract

In general insurance companies, a correct estimation of liabilities plays a key role due to its impact on management and investing decisions. Since the Financial Crisis of 2007-2008 and the strengthening of regulation, the focus is not only on the total reserve but also on its variability, which is an indicator of the risk assumed by the company. Thus, measures that relate profitability with risk are crucial in order to understand the financial position of insurance firms. Taking advantage of the increasing computational power, this paper introduces a stochastic reserving model whose aim is to improve the performance of the traditional Mack's reserving model by applying an ensemble of Recurrent Neural Networks. The results demonstrate that blending traditional reserving models with deep and machine learning techniques leads to a more accurate assessment of general insurance liabilities.

Published
2022
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22. A Survey of Current Approaches to Inguinal Hernia Repair by Pediatric General Surgeons in the United States

Author

Alhajjat, Amir M., Chao, Stephanie D., Clifton, Matthew S., Diaz-Miron, Jose L., Fialkowski, Elizabeth A., Guner, Yigit S., Gurria, Juan P., Jensen, Aaron R., Keane, Olivia A., Kelley-Quon, Lorraine, Laje, Pablo, Le, Hau D., Lesher, Aaron P., Pandya, Samir R., Perez, Eduardo A., Russell, Katie W., Slater, Bethany J., Tsao, KuoJen, Velazco, Cristine S., Wieck, Minna M., Ochoa, Brielle V., Eldredge, R. Scott, and Padilla, Benjamin E.

Published
2024
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25. Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility

Author

Ramos-Pérez, Eduardo, Alonso-González, Pablo J., and Núñez-Velázquez, José Javier

Subjects
Quantitative Finance - Computational Finance, Computer Science - Machine Learning, Statistics - Computation
Abstract

Events such as the Financial Crisis of 2007-2008 or the COVID-19 pandemic caused significant losses to banks and insurance entities. They also demonstrated the importance of using accurate equity risk models and having a risk management function able to implement effective hedging strategies. Stock volatility forecasts play a key role in the estimation of equity risk and, thus, in the management actions carried out by financial institutions. Therefore, this paper has the aim of proposing more accurate stock volatility models based on novel machine and deep learning techniques. This paper introduces a neural network-based architecture, called Multi-Transformer. Multi-Transformer is a variant of Transformer models, which have already been successfully applied in the field of natural language processing. Indeed, this paper also adapts traditional Transformer layers in order to be used in volatility forecasting models. The empirical results obtained in this paper suggest that the hybrid models based on Multi-Transformer and Transformer layers are more accurate and, hence, they lead to more appropriate risk measures than other autoregressive algorithms or hybrid models based on feed forward layers or long short term memory cells.

Published
2021
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29. Neutrinoless double-beta decay from an effective field theory for heavy nuclei

Author

Brase, Catharina, Menéndez, Javier, Pérez, Eduardo Antonio Coello, and Schwenk, Achim

Subjects
Nuclear Theory, Nuclear Experiment
Abstract

We study neutrinoless double-beta decay in an effective field theory (EFT) for heavy nuclei, which are treated as a spherical core coupled to additional neutrons and/or protons. Since the low-energy constants of the EFT cannot be fitted to data for this unobserved decay, we follow an alternative strategy to constrain these through a correlation with double Gamow-Teller transitions. This correlation was recently found to hold for shell-model calculations, energy-density functionals, and other nuclear structure models. We therefore first calculate the nuclear matrix elements for double Gamow-Teller transitions in the EFT for heavy nuclei. The combination of the EFT uncertainty with the correlation uncertainty enables predictions of nuclear matrix elements for neutrinoless double-beta decay for a broad range of isotopes with quantified uncertainties. Generally the EFT predicts smaller nuclear matrix elements compared to other approaches, but our EFT results are consistent with recent ab initio calculations., Comment: 13 pages, 5 figures, 4 tables, minor changes, published version

Published
2021
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30. Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks

Author

Petryk, Dmytro, Dyka, Zoya, Perez, Eduardo, Mahadevaiaha, Mamathamba Kalishettyhalli, Kabin, Ievgen, Wenger, Christian, and Langendoerfer, Peter

Subjects
Computer Science - Cryptography and Security, Computer Science - Hardware Architecture
Abstract

Resistive Random Access Memory (RRAM) is a type of Non-Volatile Memory (NVM). In this paper we investigate the sensitivity of the TiN/Ti/Al:HfO2/TiN-based 1T-1R RRAM cells implemented in a 250 nm CMOS IHP technology to the laser irradiation in detail. Experimental results show the feasibility to influence the state of the cells under laser irradiation, i.e. successful optical Fault Injection. We focus on the selection of the parameters of the laser station and their influence on the success of optical Fault Injections.

Published
2021
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39. Frequency Sub-Sampling of Ultrasound Non-Destructive Measurements: Acquisition, Reconstruction and Performance

Author

Kirchhof, Jan, Semper, Sebastian, Wagner, Christoph W., Pérez, Eduardo, Römer, Florian, and Del Galdo, Giovanni

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

In ultrasound nondestructive testing, a widespread approach is to take synthetic aperture measurements from the surface of a specimen to detect and locate defects within it. Based on these measurements, imaging is usually performed using the Synthetic Aperture Focusing Technique (SAFT). However, SAFT is sub-optimal in terms of resolution and requires oversampling in time domain to obtain a fine grid for the Delay-and-Sum (DAS). On the other hand, parametric reconstruction algorithms give better resolution, but their usage for imaging becomes computationally expensive due to the size of the parameter space and the large amount of measurement data in realistic 3-D scenarios. In the literature, the remedies to this are twofold: First, the amount of measurement data can be reduced using state of the art sub-Nyquist sampling approaches to measure Fourier coefficients instead of time domain samples. Second, parametric reconstruction algorithms mostly rely on matrix-vector operations that can be implemented efficiently by exploiting the underlying model structure. In this paper, we propose and compare different strategies to choose the Fourier coefficients to be measured. Their asymptotic performance is compared by numerically evaluating the Cram\'er-Rao-Bound for the localizability of the defect coordinates. These subsampling strategies are then combined with an $\ell_1$-minimization scheme to compute 3-D reconstructions from the low-rate measurements. Compared to conventional DAS, this allows us to formulate a fully physically motivated forward model. To enable this, the projection operations of the forward model matrix are implemented matrix-free by exploiting the underlying 2-level Toeplitz structure. Finally, we show that high resolution reconstructions from as low as a single Fourier coefficient per scan are possible based on simulated data as well as on measurements., Comment: 18 pages, 6 figures

Published
2020

40. Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network

Author

Ramos-Pérez, Eduardo, Alonso-González, Pablo J., and Núñez-Velázquez, José Javier

Subjects
Quantitative Finance - Risk Management, Quantitative Finance - Computational Finance, 62-07, 62P05, 65C60, 90-08
Abstract

Currently, legal requirements demand that insurance companies increase their emphasis on monitoring the risks linked to the underwriting and asset management activities. Regarding underwriting risks, the main uncertainties that insurers must manage are related to the premium sufficiency to cover future claims and the adequacy of the current reserves to pay outstanding claims. Both risks are calibrated using stochastic models due to their nature. This paper introduces a reserving model based on a set of machine learning techniques such as Gradient Boosting, Random Forest and Artificial Neural Networks. These algorithms and other widely used reserving models are stacked to predict the shape of the runoff. To compute the deviation around a former prediction, a log-normal approach is combined with the suggested model. The empirical results demonstrate that the proposed methodology can be used to improve the performance of the traditional reserving techniques based on Bayesian statistics and a Chain Ladder, leading to a more accurate assessment of the reserving risk.

Published
2020
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42. Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins

Author

Fritscher, Markus, Veronesi, Alessandro, Baroni, Andrea, Wen, Jianan, Spätling, Thorsten, Mahadevaiah, Mamathamba Kalishettyhalli, Herfurth, Norbert, Perez, Eduardo, Ulbricht, Markus, Reichenbach, Marc, Hagelauer, Amelie, Krstic, Milos, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bienz, Amanda, editor, Weiland, Michèle, editor, Baboulin, Marc, editor, and Kruse, Carola, editor

Published
2023
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43. Beyond the 6Rs. A Practical and Reflective Experience for Industrial Design Students

Author

Ferrer, Laura Diago, Sierra-Pérez, Jorge, Pérez, Eduardo Manchado, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Marín Granados, Manuel D., editor, Mirálbes Buil, Ramón, editor, and de-Cózar-Macías, Oscar D., editor

Published
2023
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45. A Design-Based Thinking for Alarm Use and Management in the Neonatal Intensive Care Unit

Author

Sanz-Segura, Rosana, Pérez, Eduardo Manchado, García de Paredes, Ignacio, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Gerbino, Salvatore, editor, Lanzotti, Antonio, editor, Martorelli, Massimo, editor, Mirálbes Buil, Ramón, editor, Rizzi, Caterina, editor, and Roucoules, Lionel, editor

Published
2023
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48. Contemporary use of cefazolin for MSSA infective endocarditis: analysis of a national prospective cohort

Author

Sánchez, Fernando Fernández, de Lomas, José Mª García, Rosas, Gabriel, de la Torre Lima, Javier, Bereciartua, Elena, Vidal, María José Blanco, Blanco, Roberto, Boado, María Victoria, Lázaro, Marta Campaña, Crespo, Alejandro, Carrión, Laura Guio, Del Álamo Martínez de Lagos, Mikel, Ugarte, Gorane Euba, Goikoetxea, Ane Josune, Hierro, Marta Ibarrola, Iruretagoyena, José Ramón, Zuazabal, Josu Irurzun, López-Soria, Leire, Montejo, Miguel, Nieto, Javier, Rodrigo, David, Rodríguez, Regino, Vitoria, Yolanda, Voces, Roberto, López, Mª Victoria García, Georgieva, Radka Ivanova, Ojeda, Guillermo, Bailón, Isabel Rodríguez, Morales, Josefa Ruiz, Rodríguez, Ignacio Álvarez, Galparsoro, Harkaitz Azkune, Boronat, Elisa Berritu, Odriozola, Mª Jesús Bustinduy, del Bosque Martín, Cristina, Echeverría, Tomás, Yarza, Alberto Eizaguirre, Fuentes, Ana, Goenaga, Miguel Ángel, del Río, Muskilda Goyeneche, Bauza, Ángela Granda, Iribarren, José Antonio, Urkola, Xabier Kortajarena, López, José Ignacio Pérez-Moreiras, Jiménez, Ainhoa Rengel, Reviejo, Karlos, Berbejillo, Alberto Sáez, Haza, Elou Sánchez, Alda, Rosa Sebastián, Ruiz, Itziar Solla, Ugartemendia, Irati Unamuno, Anza, Diego Vicente, Benito, Iñaki Villanueva, Arrieta, Mar Zabalo, Carrasco, Rafael, Climent, Vicente, Llamas, Patricio, Merino, Esperanza, Plazas, Joaquín, Reus, Sergio, Bouzas, Alberto, Castelo, Brais, Cuenca, José, Gutiérrez, Laura, Ramos, Lucía, Mayo, María Rodríguez, Serrano, Joaquín Manuel, Regueiro, Dolores Sousa, Martínez, Francisco Javier, del Mar Alonso, Mª, Castro, Beatriz, Melian, Teresa Delgado, Sarabia, Javier Fernández, Rosado, Dácil García, González, Julia González, Lacalzada, Juan, de la Peña, Lissete Lorenzo, Ramírez, Alina Pérez, Arrondo, Pablo Prada, Moreno, Fermín Rodríguez, Ciezar, Antonio Plata, Iglesias, José Mª Reguera, Álvarez, Víctor Asensi, Costas, Carlos, de la Hera, Jesús, Suárez, Jonnathan Fernández, Fraile, Lisardo Iglesias, Arguero, Víctor León, Menéndez, José López, Bajo, Pilar Mencia, Morales, Carlos, Torrico, Alfonso Moreno, Palomo, Carmen, Martínez, Begoña Paya, Esteban, Ángeles Rodríguez, García, Raquel Rodríguez, Asensio, Mauricio Telenti, Almela, Manuel, Ambrosioni, Juan, Azqueta, Manuel, Brunet, Mercè, Bodro, Marta, Cartañá, Ramón, Cuervo, Guillermo, Falces, Carlos, Fernández-Pittol, Mariana J, Fita, Guillermina, Fuster, David, de la Mària, Cristina García, García-Pares, Delia, Hernández-Meneses, Marta, Pérez, Jaume Llopis, Marco, Francesc, Miró, José M., Moreno, Asunción, Nicolás, David, Ninot, Salvador, Quintana, Eduardo, Paré, Carlos, Pereda, Daniel, Pericás, Juan M., Pomar, José L., Ramírez, José, Roque, Mercè, Rovira, Irene, Sandoval, Elena, Sitges, Marta, Soy, Dolors, Téllez, Adrián, Tolosana, José M., Vidal, Bárbara, Vila, Jordi, Adán, Iván, Alonso, David, Alonso, Juan Carlos, Álvarez-Uría, Ana, Bermejo, Javier, Bouza, Emilio, Caballero, Gregorio Cuerpo, Montero, Antonia Delgado, Estévez, Agustín, Ribas, Ramón Fortuny, Gargallo, Esther, Leoni, Mª Eugenia García, Mansilla, Ana González, Moraga, Francisco Javier González, Ramallo, Víctor González, Hernández, Martha Kestler, Hualde, Amaia Mari, Machado, Marina, Marín, Mercedes, Martínez-Sellés, Manuel, Melero, Rosa, Muñoz, Patricia, Monzón, Diego, Olmedo, María, Pedraz, Álvaro, Pinilla, Blanca, Pinto, Ángel, Rincón, Cristina, Rodríguez-Abella, Hugo, Rodríguez-Créixems, Marta, Sánchez-Pérez, Eduardo, Segado, Antonio, Toledo, Neera, Valerio, Maricela, Vázquez, Pilar, Moreno, Eduardo Verde, de la Villa, Sofía, Antorrena, Isabel, Loeches, Belén, Moreno, Mar, Ramírez, Ulises, Bastón, Verónica Rial, Romero, María, Rosillo, Sandra, Balbín, Jesús Agüero, Fernández, Cristina Amado, Castillo, Carlos Armiñanzas, de las Revillas, Francisco Arnaiz, Belaustegui, Manuel Cobo, Fariñas, María Carmen, Fariñas-Álvarez, Concepción, Sampedro, Marta Fernández, García, Iván, Rico, Claudia González, Gutiérrez-Fernández, Laura, Gutiérrez-Cuadra, Manuel, Díez, José Gutiérrez, Pajarón, Marcos, Parra, José Antonio, Teira, Ramón, Zarauza, Jesús, Parra, Jorge Calderón, Cobo, Marta, Domínguez, Fernando, Pavía, Pablo García, Cruz, Ana Fernández, Ramos-Martínez, Antonio, Romero, Isabel Sánchez, Centella, Tomasa, Hermida, José Manuel, Moya, José Luis, Martín-Dávila, Pilar, Navas, Enrique, Oliva, Enrique, del Río, Alejandro, Stuart, Jorge Rodríguez-Roda, Ruiz, Soledad, Tenorio, Carmen Hidalgo, Sequera, Sergio, Delia, Manuel Almendro, Araji, Omar, Barquero, José Miguel, Jambrina, Román Calvo, de Cueto, Marina, Acebal, Juan Gálvez, Méndez, Irene, Morales, Isabel, López-Cortés, Luis Eduardo, de Alarcón, Arístides, Gutiérrez-Carretero, Encarnación, Lepe, José Antonio, López-Haldón, José, Luque-Márquez, Rafael, Marín, Guillermo, Ortiz-Carrellán, Antonio, Sánchez-Domínguez, Eladio, Alonso, Luis Javier, Azcárate, Pedro, Gutiérrez, José Manuel Azcona, Blanco, José Ramón, Armas, Estíbaliz Corral, García-Álvarez, Lara, Oteo, José Antonio, Membrilla, Antonio Barros, Iglesias, Antonino Ginel, Grillo, Sara, Petracca, Rubén Leta, López-Contreras, Joaquín, Martínez, María Alba Rivera, Álvarez, M., Fernández, A.L., Martínez, Amparo, Prieto, A., Regueiro, Benito, Tijeira, E., Vega, Marino, Quiñonero, Amaia Aguirre, Miñambres, Ángela Alonso, Arana, Juan Carlos Gainzarain, de Alaiza Ortega, Sara González, Rodríguez, Miguel Ángel Morán, Rodríguez, Anai Moreno, de Zárate, Zuriñe Ortiz, Zapirain, José Joaquín Portu, de Adana Arroniz, Ester Sáez, Sánchez, Daisy Carolina Sorto, Antonio, Sánchez-Porto, Alejandro, Úbeda Iglesias, Leal, José Mª Arribas, Vázquez, Elisa García, Torres, Alicia Hernández, Blázquez, Ana, de la Morena Valenzuela, Gonzalo, Alonso, Ángel, Aramburu, Javier, Calvo, Felicitas Elena, Tarabini-Castellani, Paola, Gálvez, Eva Heredero, Bellido, Carolina Maicas, Pau, José Largo, Sepúlveda, Mª Antonia, Sierra, Pilar Toledano, Iqbal-Mirza, Sadaf Zafar, Alcolea, Eva Cascales, Yañez, Ivan Keituqwa, Martínez, Julián Navarro, Ballesta, Ana Peláez, Escobar, Eduardo Moreno, Monje, Alejandro Peña, Cabrera, Valme Sánchez, García, David Vinuesa, Asenjo, María Arrizabalaga, Luna, Carmen Cifuentes, Morcillo, Juana Núñez, Seco, Mª Cruz Pérez, Gelabert, Aroa Villoslada, Guallar, Carmen Aured, Abad, Nuria Fernández, Mangas, Pilar García, Adell, Marta Matamala, Ruiz, Mª Pilar Palacián, Porres, Juan Carlos, Vidal, Begoña Alcaraz, Del Amor Espín, María Jesús, Buendía, Francisco, Sánchez, Roberto Jiménez, Mármol, Rosario, Martínez, Francisco, Meseguer, Antonio, Pérez, Beatriz, Risco, Leticia, Saura, Zoser, Silva, Vanina, Villmarín, Mª Belén, Blanco, Mª Ángels Ribas, de Gopegui Bordes, Enrique Ruiz, Bonet, Laura Vidal, Borràs, Miquel Vives, Munera, Mª Carmen Bellón, Garaizabal, Elena Escribano, Martínez, Antonia Tercero, Luque, Juan Carlos Segura, Badía, Cristina, Palop, Lucía Boix, Xercavins, Mariona, Ibars, Sónia, Bosch, Xerach, Nebreda, Eloy Gómez, Herrera, Ibalia Horcajada, Gallego, Irene Menduiña, Pulido, Imanol, Santiago, Héctor Marrero, de Miguel Martínez, Isabel, Álamo, Elena Pisos, Sánchez, Daniel San Román, Pérez, Jorge Boan, Blanco, Eva Mª Aguilar, González, Mercedes Catalán, Peiretti, María Angélica Corres, Esteve, Andrea Eixerés, Pérez, Laura Domínguez, de Cossío Tejido, Santiago, Román, Francisco Galván, Robles, José Antonio García, Medrano, Francisco López, Gude, Mª Jesús López, Miguel, Mª Ángeles Orellana, Pilkington, Patrick, Ostalaza, Yolanda Revilla, Morales, Juan Ruiz, Solís, Sebastián Ruiz, Collado, Ana Sabín, Fernández, Marcos Sánchez, Rallo, Javier Solera, Martín, Jorge Solís, Escrihuela-Vidal, Francesc, Carratalà, Jordi, Grau, Inmaculada, Ardanuy, Carmen, Berbel, Dámaris, Salado, José Carlos Sánchez, Alegre, Oriol, Majoral, Alejandro Ruiz, Sbraga, Fabrizio, Blasco, Arnau, Sánchez, Laura Gracia, Sánchez-Rodríguez, Iván, Aldamiz, Gonzalo, Álvarez, Beatriz, Palacios, Marina Bernal, Úbeda, Alfonso Cabello, Roblas, Ricardo Fernández, Hernández, Rafael, Martín, Victoria Andrea Hortigüela, Kallmeyer, Andrea, Kancev, Cristina Landaeta, Martín, Marta, Ruiz, Miguel Morante, Lobato, Miguel Ángel Navas, Pello, Ana María, Prieto, Laura, Mallebrera, Marta Tomás, Varela, Laura, de la Peña Triguero, Mireia, Cerón, Ruth Esther Figueroa, Gómez, Lara Ruiz, Ble, Mireia, Gallego, Juan Pablo Horcajada, Ginel, Antonio José, López, Inmaculada, Mas, Alexandra, Mestres, Antoni, Molina, Lluís, Serrat, Ramón, Ribas, Núria, Sánchez, Francisca, Silverio, Ana, Suárez, Marina, Sorlí, Luisa, Recasens, Lluís, Taurón, Manuel, Regueras, María Fernández, Vallejo, María Ángeles Mantecón, Rivera, José Ángel Pérez, Mata, Nuria Sánchez, Cano, Antonia Calvo, Olivares, Miguel Fajardo, Núñez, María Victoria Millán, Sanz, Agustín Muñoz, Herrera-Hidalgo, Laura, Alonso-Menchén, David, Luque-Marquez, Rafael, Fariñas, María Del Carmen, Miró, Jose Maria, Goenaga, Miguel Angel, Angulo-Lara, Basilio, and Boix-Palop, Lucia

Published
2023
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