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3,047 results on '"Fernández, Laura"'

2. Revegetation of Coastal Dunes: Which Species to Choose?

Author

García-de-Lomas, Juan, Plaza, Laura, Martín, Ildefonso, Fernández, Laura, Belmonte, Yolanda, Maldonado, Mari Carmen, García, Noelia, Mallofret, Eugenio, Martínez, Enrique, and Rodríguez, Carmen

Published
2021

3. Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition

Author

Piñeiro-Martín, Andrés, García-Mateo, Carmen, Docío-Fernández, Laura, López-Pérez, María del Carmen, and Rehm, Georg

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

This paper addresses the challenge of integrating low-resource languages into multilingual automatic speech recognition (ASR) systems. We introduce a novel application of weighted cross-entropy, typically used for unbalanced datasets, to facilitate the integration of low-resource languages into pre-trained multilingual ASR models within the context of continual multilingual learning. We fine-tune the Whisper multilingual ASR model on five high-resource languages and one low-resource language, employing language-weighted dynamic cross-entropy and data augmentation. The results show a remarkable 6.69% word error rate (WER) reduction for the low-resource language compared to the fine-tuned model without applying our approach, and a 48.86% WER reduction compared to the original Whisper model. In addition, our approach yields an average WER reduction of 3.29% across the six languages, showing no degradation for the high-resource languages., Comment: 5 pages, 1 figure. Presented at Interspeech 2024

Published
2024
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6. Glucose metabolism outcomes after pituitary surgery in patients with acromegaly

Author

Pascual-Corrales, Eider, Biagetti, Betina, Marazuela, Mónica, Asensio-Wandosel, Diego, Rodríguez Berrocal, Víctor, Irigaray Echarri, Ana, Novo-Rodríguez, Cristina, Calatayud, María, Bernabéu, Ignacio, Alvarez-Escola, Cristina, Tenorio-Jiménez, Carmen, González Molero, Inmaculada, Iglesias, Pedro, Blanco, Concepción, de Miguel, Paz, López Mezquita, Elena, Lamas, Cristina, Aulinas, Anna, Gracia, Paola, Recio-Córdova, José María, Sampedro-Nuñez, Miguel, Paja, Miguel, Moure Rodríguez, María Dolores, Fajardo-Montañana, Carmen, Cordido, Fernando, Menéndez Torre, Edelmiro, Percovich, Juan Carlos, García-Centeno, Rogelio, Cámara, Rosa, Hanzu, Felicia Alexandra, Vicente Delgado, Almudena, González Fernández, Laura, Guerrero-Pérez, Fernando, Ollero García-Agulló, María Dolores, Novoa-Testa, Iría, Villar-Taibo, Rocío, Benítez Valderrama, Pamela, Abellán Galiana, Pablo, Venegas Moreno, Eva, Vidal-Ostos De Lara, Fernando, Enseñat, Joaquim, Aznar, Silvia, Asla, Queralt, Aviles-Pérez, María Dolores, Puig-Domingo, Manel, and Araujo-Castro, Marta

Published
2024
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7. The role of rare-earth atoms in the anisotropy and antiferromagnetic exchange coupling at a hybrid metal-organic interface

Author

Blanco-Rey, María, Castrillo, Rodrigo, Ali, Khadiza, Gargiani, Pierluigi, Ilyn, Max, Gastaldo, Michele, Paradinas, Markos, Valbuena, Miguel A., Mugarza, Aitor, Ortega, J. Enrique, Schiller, Frederik, and Fernández, Laura

Subjects
Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Strongly Correlated Electrons
Abstract

Magnetic anisotropy and magnetic exchange interactions are crucial parameters that characterize the hybrid metal-organic interface, key component of an organic spintronic device. We show that the incorporation of 4$f$ RE atoms to hybrid metal-organic interfaces of CuPc/REAu$_2$ type (RE= Gd, Ho) constitutes a feasible approach towards on-demand magnetic properties and functionalities. The GdAu$_2$ and HoAu$_2$ substrates differ in their magnetic anisotropy behavior. Remarkably, the HoAu$_2$ surface boosts the inherent out-of-plane anisotropy of CuPc, owing to the match between the anisotropy axis of substrate and molecule. Furthermore, the presence of RE atoms leads to a spontaneous antiferromagnetic (AFM) exchange coupling at the interface, induced by the 3$d$-4$f$ superexchange interaction between the unpaired 3$d$ electron of CuPc and the 4$f$ electrons of the RE atoms. We show that 4$f$ RE atoms with unquenched quantum orbital momentum ($L$), as it is the case of Ho, induce an anisotropic interfacial exchange coupling., Comment: Main paper: 10 pages and 3 figures; Supplementary Material: 13 pages, 5 figures

Published
2024
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8. Del Visual al Auditivo: Sonorizaci\'on de Escenas Guiada por Imagen

Author

Sánchez, María, Fernández, Laura, Arias, Julián, Cámara, Mateo, Comini, Giulia, Gabrys, Adam, Blanco, José Luis, Godino, Juan Ignacio, and Hernández, Luis Alfonso

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Recent advances in image, video, text and audio generative techniques, and their use by the general public, are leading to new forms of content generation. Usually, each modality was approached separately, which poses limitations. The automatic sound recording of visual sequences is one of the greatest challenges for the automatic generation of multimodal content. We present a processing flow that, starting from images extracted from videos, is able to sound them. We work with pre-trained models that employ complex encoders, contrastive learning, and multiple modalities, allowing complex representations of the sequences for their sonorization. The proposed scheme proposes different possibilities for audio mapping and text guidance. We evaluated the scheme on a dataset of frames extracted from a commercial video game and sounds extracted from the Freesound platform. Subjective tests have evidenced that the proposed scheme is able to generate and assign audios automatically and conveniently to images. Moreover, it adapts well to user preferences, and the proposed objective metrics show a high correlation with the subjective ratings., Comment: 10 pages, in Spanish, Tecniac\'ustica

Published
2024

18. Ultraconfined plasmons in atomically thin crystalline silver nanostructures

Author

Mkhitaryan, Vahagn, Weber, Andrew P., Abdullah, Saad, Fernández, Laura, El-Fattah, Zakaria M. Abd, Piquero-Zulaica, Ignacio, Agarwal, Hitesh, Díez, Kevin García, Schiller, 3 Frederik, Ortega, J. Enrique, and de Abajo, F. Javier García

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Optics
Abstract

The ability to confine light down to atomic scales is critical for the development of applications in optoelectronics and optical sensing as well as for the exploration of nanoscale quantum phenomena. Plasmons in metallic nanostructures can achieve this type of confinement, although fabrication imperfections down to the subnanometer scale hinder actual developments. Here, we demonstrate narrow plasmons in atomically thin crystalline silver nanostructures fabricated by prepatterning silicon substrates and epitaxially depositing silver films of just a few atomic layers in thickness. Combined with on-demand lateral shaping, this procedure allows for an unprecedented control over optical field confinement in the near-infrared spectral region. Specifically, we observe fundamental and higher-order plasmons featuring extreme spatial confinement and high-quality factors that reflect the crystallinity of the metal. Our approach holds potential for the design and exploitation of atomic-scale nanoplasmonic devices in optoelectronics, sensing, and quantum-physics applications., Comment: 11 pages, 9 figures, 50 references

Published
2023

19. A ferromagnetic Eu-Pt surface compound grown below hexagonal boron nitride

Author

Bakhit, Alaa Mohammed Idris, Ali, Khadiza, Makarova, Anna A., Píš, Igor, Bondino, Federica, Sant, Roberto, Dash, Saroj P., Castrillo, Rodrigo, Hasegawa, Yuri, Ortega, J. Enrique, Fernandez, Laura, and Schiller, Frederik

Subjects
Condensed Matter - Materials Science
Abstract

One of the fundamental applications for monolayer-thick 2D materials is their use as protective layers of metal surfaces and in-situ intercalated reactive materials in ambient conditions. Here we investigate the structural, electronic, and magnetic properties, as well as the chemical stability in air of a very reactive metal, Europium, after intercalation between a hexagonal boron nitride (hBN) layer and a Pt substrate. We demonstrate that Eu intercalation leads to a hBN-covered ferromagnetic EuPt$_2$ surface alloy with divalent Eu$^{2+}$ atoms at the interface. We expose the system to ambient conditions and find a partial conservation of the di-valent signal and hence the Eu-Pt interface. The use of a curved Pt substrate allows us to explore the changes in the Eu valence state and the ambient pressure protection at different substrate planes. The interfacial EuPt$_2$ surface alloy formation remains the same, but the resistance of the protecting hBN layer to ambient conditions is reduced, likely due to a rougher surface and a more discontinuous hBN coating.

Published
2023
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21. Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology

Author

Campbell, Edward L., Dineley, Judith, Conde, Pauline, Matcham, Faith, Lamers, Femke, Siddi, Sara, Docio-Fernandez, Laura, Garcia-Mateo, Carmen, Cummins, Nicholas, and Consortium, the RADAR-CNS

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, Quantitative Biology - Quantitative Methods
Abstract

Major Depressive Disorder (MDD) is a common worldwide mental health issue with high associated socioeconomic costs. The prediction and automatic detection of MDD can, therefore, make a huge impact on society. Speech, as a non-invasive, easy to collect signal, is a promising marker to aid the diagnosis and assessment of MDD. In this regard, speech samples were collected as part of the Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD) research programme. RADAR-MDD was an observational cohort study in which speech and other digital biomarkers were collected from a cohort of individuals with a history of MDD in Spain, United Kingdom and the Netherlands. In this paper, the RADAR-MDD speech corpus was taken as an experimental framework to test the efficacy of a Sequence-to-Sequence model with a local attention mechanism in a two-class depression severity classification paradigm. Additionally, a novel training method, HARD-Training, is proposed. It is a methodology based on the selection of more ambiguous samples for the model training, and inspired by the curriculum learning paradigm. HARD-Training was found to consistently improve - with an average increment of 8.6% - the performance of our classifiers for both of two speech elicitation tasks used and each collection site of the RADAR-MDD speech corpus. With this novel methodology, our Sequence-to-Sequence model was able to effectively detect MDD severity regardless of language. Finally, recognising the need for greater awareness of potential algorithmic bias, we conduct an additional analysis of our results separately for each gender., Comment: Error in Training Code

Published
2022

23. The proteomic signature of circulating extracellular vesicles following intracerebral hemorrhage: Novel insights into mechanisms underlying recovery

Author

Casado-Fernández, Laura, Laso-García, Fernando, Piniella, Dolores, Gómez-de Frutos, Mari Carmen, Otero-Ortega, Laura, Bravo, Susana-Belén, Fuentes-Gimeno, Blanca, Docando, Félix, Alonso-López, Elisa, Ruiz-Ares, Gerardo, Rodríguez-Pardo, Jorge, Rigual, Ricardo, de Celis-Ruiz, Elena, Hervás, Carlos, Díez-Tejedor, Exuperio, Gutiérrez-Fernández, María, and Alonso de Leciñana, María

Published
2024
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30. Comprehensive Stress Stability Studies Reveal the Prominent Stability of the Liquid-Formulated Biotherapeutic Asymmetric Monovalent Bispecific IgG1 Monoclonal Antibody Format

Author

Sankaran, Praveen Kallamvalliillam, Poskute, Ryte, Dewis, Lydia, Watanabe, Yasunori, Wong, Vanessa, Fernandez, Laura Pascual, Shannon, Richard, Wong, Lisa, Shrubsall, Rebecca, Carman, Lee, Holt, Alexander, Lepore, Giordana, Mishra, Rahul, Sewell, Laura, Gothard, Matt, Cheeks, Matthew, and Lindo, Viv

Published
2024
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37. Identification and quantification of chain-pairing variants or mispaired species of asymmetric monovalent bispecific IgG1 monoclonal antibody format using reverse-phase polyphenyl chromatography coupled electrospray ionization mass spectrometry

Author

Poskute, Ryte, Sankaran, Praveen Kallamvalliillam, Sewell, Laura, Lepore, Giordana, Shrubsall, Rebecca, Dewis, Lydia, Watanabe, Yasunori, Wong, Vanessa, Pascual Fernandez, Laura, Mishra, Rahul, Holt, Alexander, Sou, Susie, Harris, Claire, Moreno Rodriguez, Cristina, Cankorur-Cetinkaya, Ayca, Smith, Jennifer, Lonska, Nikola, Powell, Adam, Cui, Tingting, Cheeks, Matthew, and Lindo, Viv

Published
2024
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40. Language Report Galician

Author

Sánchez, José Manuel Ramírez, Fernández, Laura Docío, García-Mateo, Carmen, Sonntag, Daniel, Editor-in-Chief, Rehm, Georg, editor, and Way, Andy, editor

Published
2023
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41. ECCV 2022 Sign Spotting Challenge: Dataset, Design and Results

Author

Vázquez Enríquez, Manuel, Castro, José L. Alba, Fernandez, Laura Docio, Jacques Junior, Julio C. S., Escalera, Sergio, 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, Karlinsky, Leonid, editor, Michaeli, Tomer, editor, and Nishino, Ko, editor

Published
2023
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45. Ab-Externo MicroShunt versus Trabeculectomy in Primary Open-Angle Glaucoma: Two-Year Results from a Randomized, Multicenter Study

Author

Vold, Steven, McFarland, Michael, Stiles, Michael, Stechschulte, Ann, Strom, Amanda, Reynolds, Adam, Noecker, Robert, Thimons, Joseph, Khaimi, Mahmoud, Allen, Evan, Sarkisian, Steve, Barnebey, Howard, Golez, Ernesto, Feldman, Robert, Bell, Nicholas, Blieden, Lauren, Cantor, Louis, WuDunn, Darrell, Catoira-Boyle, Yara, Chen, Huiyi, Evans, Joshua, Martin, Elizabeth, Sozeri, Yasemin, Srivastava, Vinita, Wise, Ryan, Schwartz, Kenneth, Grover, Davinder, Butler, Michelle, Emanuel, Matthew, Fellman, Ronald, Godfrey, David, Smith, Oluwatosin, Kornmann, Helen, Khatana, Anup, Hagee, Daniel, Kuhlman, Brian, Zink, Jeffrey, Moster, Marlene, Dale, Elizabeth, Pro, Michael, Baker, Douglas, Chambers, Megan, Lehmann, David, Caprioli, Joseph, Francis, Brian, Giaconi, JoAnn, Law, Simon, Nouri-Mahdavi, Kouros, Coleman, Anne, Flynn, William, Rashid, Edward, Reilly, Charles, Rice, Robert, Sidoti, Paul, Panarelli, Joseph, Garg, Reena, Tania Tai, Tak Yee, Vinod, Kate, Harizman, Noga, Ritch, Robert, Reiss, George, Dewan, Vinay, Patel, Shamil, Sorenson, Christina, Larsen, Christine, Samuelson, Thomas, Hansen, Mark, Barth, Tara, Blakstad, Alyson, Buboltz, Mark, Fahmy, Ahmad, Fahmy, Mona, Montealegre, Kate, Mizener, Martin, Whitted, Peter, Lim, Michele, Brandt, James, Baik, Annie, Jiang, Angela, Brown, Steve V.L., Breunig, Adam C., Gorla, Madhu S.R., Riss, Isabelle, Feijoo, Garcia, Mendez Hernandez, Carmen, Martinez de la Casa, Jose, Dupré Pelaez, Mauro, Fernandez Vidal, Ana, García Sáenz, Sofia, Morales Fernandez, Laura, Sáenz Francés, Federico, Santos Bueso, Enrique, Perucho Gonzalez, Lucia, Beckers, Henny J.M., Kujovic, Stefani, Nardi, Marco, Maglionico, Maria N., Nasini, Francesco, Passani, Andrea, Strouthidis, Nick, Barton, Keith, Clarke, Jonathan, Gazzard, Gus, Jayaram, Hari, Khaw, Peng, Papadopoulos, Maria, Puertas, Renata, Toth, Marta, Lunt, David, Triolo, Giacinto, Kam, Ronald, Levine, Jason, Flowers, Brian, Nair, Unni, Simmons, Steven, Pokabla, Michael, Panarelli, Joseph F., Moster, Marlene R., Garcia-Feijoo, Julian, Flowers, Brian E., Baker, N. Douglas, Barnebey, Howard S., Grover, Davinder S., Khatana, Anup K., Lee, Bonny, Nguyen, Tuan, Stiles, Michael C., Sadruddin, Omar, and Khaw, Peng T.

Published
2024
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48. Alzheimer's Dementia Detection from Audio and Text Modalities

Author

Campbell, Edward L., Docío-Fernández, Laura, Raboso, Javier Jiménez, and García-Mateo, Carmen

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Automatic detection of Alzheimer's dementia by speech processing is enhanced when features of both the acoustic waveform and the content are extracted. Audio and text transcription have been widely used in health-related tasks, as spectral and prosodic speech features, as well as semantic and linguistic content, convey information about various diseases. Hence, this paper describes the joint work of the GTM-UVIGO research group and acceXible startup to the ADDReSS challenge at INTERSPEECH 2020. The submitted systems aim to detect patterns of Alzheimer's disease from both the patient's voice and message transcription. Six different systems have been built and compared: four of them are speech-based and the other two systems are text-based. The x-vector, i-vector, and statistical speech-based functionals features are evaluated. As a lower speaking fluency is a common pattern in patients with Alzheimer's disease, rhythmic features are also proposed. For transcription analysis, two systems are proposed: one uses GloVe word embedding features and the other uses several features extracted by language modelling. Several intra-modality and inter-modality score fusion strategies are investigated. The performance of single modality and multimodal systems are presented. The achieved results are promising, outperforming the results achieved by the ADDReSS's baseline systems., Comment: 5 pages, 2 figures

Published
2020

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