Ricardo Santos

Orcid: 0000-0002-4478-2476

Affiliations:
  • Associação Fraunhofer Portugal Research, Porto, Portugal


According to our database1, Ricardo Santos authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources.
Int. J. Medical Informatics, February, 2024

Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches.
Biomed. Signal Process. Control., 2024

Iterative wireless node localization based on Bluetooth and visible light for smart lighting systems.
Proceedings of the Wireless Telecommunications Symposium, 2024

2023
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series.
Inf. Fusion, December, 2023

Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation.
J. King Saud Univ. Comput. Inf. Sci., June, 2023

A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery.
Proceedings of the Progress in Artificial Intelligence, 2023

INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2021
Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors.
Sensors, 2021

Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings.
IEEE Access, 2021

A Novel Approach for User Equipment Indoor/Outdoor Classification in Mobile Networks.
IEEE Access, 2021

2020
An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning.
Sensors, 2020

2019
Fingerprints and Floor Plans Construction for Indoor Localisation Based on Crowdsourcing.
Sensors, 2019

Determination of the Walking Direction of a Pedestrian from Acceleration Data.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019


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