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David Martínez

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2025
[j4]
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David Martínez, Laura Po, Raquel Trillo Lado, José R. R. Viqueira:
A conceptual data modeling framework with four levels of abstraction for environmental information. Environ. Model. Softw. 183: 106248 (2025)
2023
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Dayana Ribas, Miguel A. Pastor, Antonio Miguel, David Martínez, Alfonso Ortega, Eduardo Lleida:
Automatic Voice Disorder Detection Using Self-Supervised Representations. IEEE Access 11: 14915-14927 (2023)
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David Martínez, Dayana Ribas, Eduardo Lleida:
On the Use of High Frequency Information for Voice Pathology Classification. INTERSPEECH 2023: 2383-2387
2022
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Dayana Ribas, Miguel Ángel Pastor Yoldi, Antonio Miguel, David Martínez, Alfonso Ortega, Eduardo Lleida:
S3prl-Disorder: Open-Source Voice Disorder Detection System based in the Framework of S3PRL-toolkit. IberSPEECH 2022: 136-140
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David Martínez, Laura Po, Raquel Trillo Lado, José R. R. Viqueira:
TAQE: A Data Modeling Framework for Traffic and Air Quality Applications in Smart Cities. ICCS 2022: 25-40
2021
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José M. Catalán, José V. García-Pérez, Andrea Blanco-Ivorra, David Martínez, Luis Daniel Lledó, Nicolás García Aracil:
Differences in Physiological Reactions Due to a Competitive Rehabilitation Game Modality. Sensors 21(11): 3681 (2021)
2020
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Andrea Blanco-Ivorra, David Martínez, José M. Catalán, José V. García, Santiago Ezquerro, Jorge A. Díez, Nicolás Manuel García Aracil:
Oxygen consumption in industrial tasks assisted by an active upper-limb exoskeleton. BioRob 2020: 576-580

2000 – 2009

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2001
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Jesús Ibáñez-Diaz, Carlos Pantaleón, Ignacio Santamaría, Tomás Fernández Ibáñez, David Martínez:
Nonlinearity estimation in power amplifiers based on subsampled temporal data. IEEE Trans. Instrum. Meas. 50(4): 882-887 (2001)

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