Jose Maria Buades Rubio

Profesor Contratado Doctor

Universitat de les Illes Balears

Spain

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About

Jose Maria Buades Rubio is a Profesor Contratado Doctor at Universitat de les Illes Balears in Spain. His research primarily focuses on artificial intelligence applications in healthcare, particularly in pain assessment for non-communicating individuals with cerebral palsy. Additionally, he explores deep learning techniques for computer vision, including activity recognition and facial expression analysis. His recent contributions include innovative methods for automated image recognition and systematic reviews in related fields.

Articles (13)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2020

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2020

Collaborators (4)

Álvaro Sabater Gárriz

Assistant Professor

University of the Balearic Islands

SPAIN

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Antoni Jaume-i-Capó

Associate Professor

Universitat de les Illes Balears

SPAIN

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Silvia Ramis Guarinos

Associate Lecturer

Universitat de les Illes Balears

SPAIN

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Cristina Manresa-Yee

Associate professor

Universitat de les Illes Balears

SPAIN

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Jose Maria Buades Rubio

Research Interests

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About

Articles (13)

Design of a mobile application based on artificial intelligence to identify pain in non-communicating individuals with cerebral palsy

Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy

Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users

A New Method for 2D-Adapted Wavelet Construction: An Application in Mass-Type Anomalies Localization in Mammographic Images

Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review

Unveiling the human-like similarities of automatic facial expression recognition: An empirical exploration through explainable ai

Solving nonograms using neural networks

Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence

A Novel Approach to Cross dataset studies in Facial Expression Recognition

An Approach for Selecting the Most Explanatory Features for Facial Expression Recognition

A Wireless Hand Grip Device for Motion and Force Analysis

Using a social robot to evaluate facial expressions in the wild

Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model

Collaborators (4)

Álvaro Sabater Gárriz

Antoni Jaume-i-Capó

Silvia Ramis Guarinos

Cristina Manresa-Yee

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