Paulo de Carvalho

Professor Catedrático

Universidade do Porto Faculdade de Economia

Portugal

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About

Paulo de Carvalho is a Professor Catedrático at Universidade de Coimbra Faculdade de Economia, Portugal. His research areas include deep learning applications in healthcare, particularly in predicting patient outcomes and respiratory monitoring. He has contributed to advancements in machine learning technologies for clinical assessments and the evaluation of software development processes.

Articles (17)

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2024

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2021

Collaborators (9)

Henrique Madeira

Full Professor

University of Coimbra

PORTUGAL

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Alda Marques

PORTUGAL

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Nicos Maglaveras

Northwestern University

UNITED STATES

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Anna M. Bianchi

Prof.

Politecnico di Milano

ITALY

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Maria de Fátima Dias

Instituto Superior de Contabilidade e Administração de Coimbra

PORTUGAL

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Marco Simões

Assistant Professor

University of Coimbra

PORTUGAL

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Rui Pedro Paiva

University of Coimbra

PORTUGAL

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Teresa Rocha

Professora Adjunta

Instituto Politécnico de Leiria

PORTUGAL

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César Teixeira

Associate Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Paulo de Carvalho

Research Interests

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Articles (17)

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters

Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound

Where Did I Get Lost? A Prototype Tool for Predicting Local-Level Comprehension Difficulties With Wearables and Explainable Machine Learning

Role of the EEG Theta Network During Software Production: A Connectivity Study

On the accuracy of code complexity metrics: A neuroscience-based guideline for improvement

BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals

Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition

Quality Evaluation of Modern Code Reviews Through Intelligent Biometric Program Comprehension

Wearable pulmonary monitoring system with integrated functional lung imaging and chest sound recording: a clinical investigation in healthy subjects

Assessment of distance to primary percutaneous coronary intervention centres in ST-segment elevation myocardial infarction: Overcoming inequalities with process mining tools

Towards continuous non-invasive blood pressure measurements—interpretation of the vasculature response to cuff inflation

How Reliable Are Ultra-Short-Term HRV Measurements during Cognitively Demanding Tasks?

Cortical thickness in brain imaging studies using FreeSurfer and CAT12: A matter of reproducibility

Deformation fields: a new source of information to predict brain age

Interpretability, personalization and reliability of a machine learning based clinical decision support system

A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario

Data size considerations and hyperparameter choices in case-based reasoning approach to glucose prediction

Collaborators (9)

Henrique Madeira

Alda Marques

Nicos Maglaveras

Anna M. Bianchi

Maria de Fátima Dias

Marco Simões

Rui Pedro Paiva

Teresa Rocha

César Teixeira

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