Ricardo Santos

18 papers B 1C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Counterfactual Fairness with Graph Uncertainty.
CoRR
Davi Valério, Chrysoula Zerva, Mariana Pinto, Ricardo Santos, André V. Carreiro
2025 J jnl
Improving Representation Learning of Complex Critical Care Data with ICU-BERT.
CoRR
Ricardo Santos, André V. Carreiro, Xi Peng, Hugo Gamboa, Holger Fröhlich
2024 J jnl
Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches.
Biomed. Signal Process. Control.
Hemaxi Narotamo, Mariana Dias, Ricardo Santos, André V. Carreiro, Hugo Gamboa, Margarida Silveira
2024 — conf
Iterative wireless node localization based on Bluetooth and visible light for smart lighting systems.
WTS
Marília Barandas, Ricardo Santos, Jorge Filipe, Carlos Silva
2024 J jnl
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources.
Int. J. Medical Informatics
Ricardo Santos, Bruno Ribeiro, Inês Sousa, Jorge Santos, Federico Guede-Fernández, Pedro Dias, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Ana Londral
2023 — conf
A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery.
ECML/PKDD (7)
Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral
2023 J jnl
Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation.
J. King Saud Univ. Comput. Inf. Sci.
Isabel Curioso, Ricardo Santos, Bruno Ribeiro, André V. Carreiro, Pedro Coelho, José Fragata, Hugo Gamboa
2023 — conf
CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems.
PKDD/ECML Workshops (4)
Ricardo Santos, Bruno Ribeiro, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa
2023 J jnl
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series.
Inf. Fusion
Duarte Folgado, Marília Barandas, Lorenzo Famiglini, Ricardo Santos, Federico Cabitza, Hugo Gamboa
2023 — conf
INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization.
EACL (System Demonstrations)
Bruno Ribeiro, Vitor Rolla, Ricardo Santos
2023 B conf
Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data.
CBMS
Isabel Curioso, Bruno Ribeiro, Pedro Matias, Ricardo Santos, Joana Sousa, João Ferreira, Hugo Gamboa, David Belo
2023 — conf
Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery.
EPIA (2)
Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernández, Pedro Coelho, Jorge Santos, José Fragata, Ana Londral, Inês Sousa
2021 J jnl
A Novel Approach for User Equipment Indoor/Outdoor Classification in Mobile Networks.
IEEE Access
Pedro Alves, Thaina Saraiva, Marília Barandas, David Duarte, Dinis Moreira, Ricardo Santos, Ricardo Leonardo, Hugo Gamboa, Pedro Vieira
2021 J jnl
Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings.
IEEE Access
Ricardo Santos, Ricardo Leonardo, Marília Barandas, Dinis Moreira, Tiago Rocha, Pedro Alves, João Pedro Oliveira, Hugo Gamboa
2021 J jnl
Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors.
Sensors
Dinis Moreira, Marília Barandas, Tiago Rocha, Pedro Alves, Ricardo Santos, Ricardo Leonardo, Pedro Vieira, Hugo Gamboa
2020 J jnl
An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning.
Sensors
Letícia Fernandes, Sara Santos, Marília Barandas, Duarte Folgado, Ricardo Leonardo, Ricardo Santos, André V. Carreiro, Hugo Gamboa
2019 C conf
Determination of the Walking Direction of a Pedestrian from Acceleration Data.
IPIN
Ricardo Leonardo, Gonçalo Rodrigues, Marília Barandas, Pedro Alves, Ricardo Santos, Hugo Gamboa
2019 J jnl
Fingerprints and Floor Plans Construction for Indoor Localisation Based on Crowdsourcing.
Sensors
Ricardo Santos, Marília Barandas, Ricardo Leonardo, Hugo Gamboa