Esteban García Cuesta

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Assistant Professor

Universidad Politécnica de Madrid

Spain

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About

Esteban García Cuesta is an Assistant Professor at Universidad Politécnica de Madrid, Spain. His research focuses on explainable artificial intelligence, machine learning for emotion recognition, and integration platforms for diverse domains, including tourism and biomedicine. He has published recent articles examining topics such as deep learning models, solar radiation forecasting, and the clinical characteristics of COVID-19 patients.

Recent Grants

Grant: Close

XAI - Explicable Artificial Intelligence

Open Date: 2022-07-01

Close Date: 2024-07-01

Grant: Close

INCLUSIVE CHILDHOOD EDUCATION SUPPORTED BY MULTIMEDIA AND DIGITAL STORYTELLING

Open Date: 2019-09-01

Close Date: 2022-08-01

Grant: Close

E-Modelo "Extracción de modelos de usuario y predicción de opinión a partir de textos"

Open Date: 2016-03-01

Close Date: 2017-02-01

Grant: Close

xLiMe – crossLingual crossMedia knowledge extraction

Open Date: 2013-11-01

Close Date: 2016-10-31

Grant: Close

Smart Content

Open Date: 2013-03-01

Close Date: 2015-02-01

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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SPAIN

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Esteban García Cuesta

Research Interests

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Contact this professor

About

Recent Grants

Articles (12)

Interpretable Deep Prototype-Based Neural Networks: Can a 1 Look like a 0?

EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database

A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine

A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine

EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database

A combination of supervised dimensionality reduction and learning methods to forecast solar radiation

Physiological Reactions in the Therapist and Turn-Taking during Online Psychotherapy with Children and Adolescents with Autism Spectrum Disorder

A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains

Clinical characteristics and outcomes of 1,331 patients with COVID-19: HM Spanish Cohort.

Detection of SARS-CoV-2 Infection in Human Nasopharyngeal Samples by Combining MALDI-TOF MS and Artificial Intelligence

Prediction of Opinion Keywords and Their Sentiment Strength Score Using Latent Space Learning Methods

Prediction of opinion keywords and their sentiment strength score using latent space learning methods

Collaborators (9)

Enrique Verdú Navarro

Jesús Rodríguez Pascual

Antonio Barba

Ricardo Aler Mur

Pere Boadas-Vaello

Giuseppe Iandolo

David Pozo-Vazquez

Eladia Peña Mendez

María Vela Pérez

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