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2020 – today

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2024
[j13]
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Ricardo Santos, Bruno Ribeiro, Inês Sousa, Jorge Santos, Federico Guede-Fernández, Pedro Dias, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Ana Londral:
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources. Int. J. Medical Informatics 182: 105307 (2024)
[c28]
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Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. ECAI 2024: 1003-1010
[c27]
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Rui Castro, Inês Sousa, Fábio Nunes, Jennifer Mancio, Ricardo Fontes-Carvalho, Carlos A. Ferreira, João Pedrosa:
Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography. ISBI 2024: 1-5
[i2]
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  - journals/corr/abs-2410-06214
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Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. CoRR abs/2410.06214 (2024)
2023
[j12]
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Vânia Guimarães, Inês Sousa, Miguel Velhote Correia:
Detection of Foot Motions for Interaction With Exergames Using Shoe-Mounted Inertial Sensors. IEEE Trans. Hum. Mach. Syst. 53(5): 895-904 (2023)
[c26]
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Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. AI (2) 2023: 173-184
[c25]
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Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernández, Pedro Coelho, Jorge Santos, José Fragata, Ana Londral, Inês Sousa:
Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery. EPIA (2) 2023: 298-310
[c24]
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Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral:
A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery. ECML/PKDD (7) 2023: 366-371
[i1]
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  - journals/corr/abs-2306-15994
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Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic analysis of the impact of label noise correction on ML Fairness. CoRR abs/2306.15994 (2023)
2022
[j11]
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  - journals/access/MatiasCCGSGSNCS22
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Pedro Matias, João Costa, André V. Carreiro, Hugo Gamboa, Inês Sousa, Pedro Gómez, Joana Sousa, Nuno Neuparth, Pedro Carreiro-Martins, Filipe Soares:
Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. IEEE Access 10: 105149-105168 (2022)
2021
[j10]
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  - journals/sensors/GuimaraesSC21
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Vânia Guimarães, Inês Sousa, Miguel Velhote Correia:
Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors. Sensors 21(11): 3940 (2021)
[j9]
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Vânia Guimarães, Inês Sousa, Miguel Velhote Correia:
A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors. Sensors 21(22): 7517 (2021)
[c23]
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Vânia Guimarães, Inês Sousa, Miguel V. Correia:
Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets. MeMeA 2021: 1-6
2020
[j8]
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  - journals/titb/SilvaSC20
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Joana Silva, Inês Sousa, Jaime S. Cardoso:
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. IEEE J. Biomed. Health Informatics 24(1): 50-56 (2020)
[c22]
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Joana Silva, Diana Gomes, Inês Sousa:
Technological Solution for Pervasive Fall Risk Assessment. pHealth 2020: 176-181

2010 – 2019

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2019
[j7]
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Diana Gomes, Inês Sousa:
Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors. Sensors 19(9): 2145 (2019)
[j6]
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  - journals/sensors/AlvesSGRS19
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José Alves, Joana Silva, Eduardo Grifo, Carlos Resende, Inês Sousa:
Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location. Sensors 19(11): 2426 (2019)
[j5]
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Diana Gomes, João Mendes-Moreira, Inês Sousa, Joana Silva:
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. Sensors 19(12): 2803 (2019)
[c21]
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Ana Pereira, Duarte Folgado, Ricardo Cotrim, Inês Sousa:
Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors. BIOSIGNALS 2019: 73-82
[c20]
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Vânia Guimarães, Inês Sousa, Miguel V. Correia:
Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors. EMBC 2019: 6926-6929
[c19]
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Ana Pereira, Duarte Folgado, Francisco Nunes, João Almeida, Inês Sousa:
Using Inertial Sensors to Evaluate Exercise Correctness in Electromyography-based Home Rehabilitation Systems. MeMeA 2019: 1-6
[c18]
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Joana Silva, Diana Gomes, Francisco Nunes, Dinis Moreira, José Alves, Ana Pereira, Inês Sousa:
Position-independent Physical Activity Monitoring: Development and Comparison with Market Devices. MeMeA 2019: 1-5
2018
[c17]
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Joana Silva, Inês Sousa, Jaime S. Cardoso:
Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls. EMBC 2018: 3509-3512
[c16]
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  - conf/memea/SilvaMMPDS18
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Joana Silva, Dinis Moreira, João Madureira, Eduardo Pereira, André Dias, Inês Sousa:
A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic. MeMeA 2018: 1-6
2017
[c15]
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  - conf/biostec/SilvaMTBSMAS17
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Joana Silva, João Madureira, Cláudia Tonelo, Daniela Baltazar, Catarina Silva, Anabela Martins, Carlos Alcobia, Inês Sousa:
Comparing Machine Learning Approaches for Fall Risk Assessment. BIOSIGNALS 2017: 223-230
[c14]
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Ana Pereira, Vânia Guimarães, Inês Sousa:
Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study. PervasiveHealth 2017: 146-154
2016
[j4]
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  - journals/neuroimage/PintoJSVF16
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Joana Pinto, João Jorge, Inês Sousa, Pedro Vilela, Patrícia Figueiredo:
Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility. NeuroImage 135: 223-231 (2016)
[j3]
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Raquel Menezes, Helena Piairo, Pilar García-Soidán, Inês Sousa:
Spatial-temporal modellization of the NO₂ concentration data through geostatistical tools. Stat. Methods Appl. 25(1): 107-124 (2016)
[c13]
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  - conf/centeris/AlvesGFVTSPD16
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Anabela C. Alves, Arminda Manuela Gonçalves, José Moniz Fernandes, Ismael Vaz, Senhorinha Teixeira, Inês Sousa, J. Jorge Pereira, Sónia Dória-Nóbrega:
Combined Tools for Surgical Case Packages Contents and Cost Optimization: A Preliminary Study. CENTERIS/ProjMAN/HCist 2016: 393-398
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  - conf/healthyIoT/CostaSS16
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João Costa, Inês Sousa, Filipe Soares:
Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening. HealthyIoT 2016: 83-88
[c11]
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  - conf/memea/SilvaS16
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Joana Silva, Inês Sousa:
Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors. MeMeA 2016: 1-6
[c10]
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  - conf/rehab/CarneiroSMMGSS16
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Susana Carneiro, Joana Silva, João Madureira, Dinis Moreira, Vânia Guimarães, António Santos, Inês Sousa:
Inertial sensors for assessment of joint angles. REHAB 2016: 9-12
2015
[c9]
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  - conf/cicsyn/FerreiraMS15
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Carlos Ferreira, João Madureira, Inês Sousa:
Protocol for Simulation of Falls in Watersports Activities. CICSyN 2015: 109-112
[c8]
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  - conf/memea/CarneiroSARSMR15
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Susana Carneiro, Joana Silva, Bruno Aguiar, Tiago Rocha, Inês Sousa, Tiago Montanha, José Carlos Ribeiro:
Accelerometer-based methods for energy expenditure using the smartphone. MeMeA 2015: 151-156
[c7]
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  - conf/ph/SantosGMC0S15
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António Santos, Vânia Guimarães, Nuno Matos, João Cevada, Carlos Ferreira, Inês Sousa:
Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. PervasiveHealth 2015: 65-71
2014
[j2]
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  - journals/neuroimage/SousaVF14
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Inês Sousa, Pedro Vilela, Patrícia Figueiredo:
Reproducibility of hypocapnic cerebrovascular reactivity measurements using BOLD fMRI in combination with a paced deep breathing task. NeuroImage 98: 31-41 (2014)
[c6]
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  - conf/bhi/AguiarSRCS14
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Bruno Aguiar, Joana Silva, Tiago Rocha, Susana Carneiro, Inês Sousa:
Monitoring physical activity and energy expenditure with smartphones. BHI 2014: 664-667
[c5]
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  - conf/memea/GuimaraesRRS14
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Vânia Guimarães, David Ribeiro, Luís Rosado, Inês Sousa:
A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. MeMeA 2014: 358-363
[c4]
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Bruno Aguiar, Tiago Rocha, Joana Silva, Inês Sousa:
Accelerometer-based fall detection for smartphones. MeMeA 2014: 480-485
[c3]
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  - conf/ph/FerreiraGSS14
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Carlos Ferreira, Vânia Guimarães, António Santos, Inês Sousa:
Gamification of stroke rehabilitation exercises using a smartphone. PervasiveHealth 2014: 282-285
2011
[j1]
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  - journals/tbe/SantosSSF11
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Nuno Santos, João Miguel Sanches, Inês Sousa, Patrícia Figueiredo:
Optimal Sampling and Estimation in PASL Perfusion Imaging. IEEE Trans. Biomed. Eng. 58(11): 3165-3174 (2011)
[c2]
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  - conf/isspit/MirandaSSJS11
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Catarina Runa Miranda, Filipe Soares, Inês Sousa, Filipe Janela, Mário Forjaz Secca:
Multifractal analysis of blood oxygen level dependent functional magnetic resonance imaging. ISSPIT 2011: 270-275
2010
[c1]
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  - conf/isbi/SanchesSF10
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João M. Sanches, Inês Sousa, Patrícia Figueiredo:
Bayesian fisher information criterion for sampling optimization in ASL-MRI. ISBI 2010: 880-883

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