André V. Carreiro

Orcid: 0000-0002-4234-5336

Affiliations:
  • Fraunhofer Portugal, Lisbon, Portugal
  • University of Lisbon, Instituto Superior Técnico / INESC-ID, Portugal (PhD 2016)


According to our database1, André V. Carreiro authored at least 22 papers between 2011 and 2024.

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

Timeline

Legend:

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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

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study.
CoRR, 2024

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

2023
Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition.
Sensors, July, 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

Quantifying the Displacement of Data Matrix Code Modules: A Comparative Study of Different Approximation Approaches for Predictive Maintenance of Drop-on-Demand Printing Systems.
J. Imaging, 2023

A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography.
Biomed. Signal Process. Control., 2023

ZEBRA: Explaining rare cases through outlying interpretable concepts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition.
Sensors, 2022

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors.
IEEE Access, 2022

Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline.
IEEE Access, 2022

Impact of Generative Modeling for Fundus Image Augmentation With Improved and Degraded Quality in the Classification of Glaucoma.
IEEE Access, 2022

2021
Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

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

Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models.
Proceedings of the Working Notes of CLEF 2020, 2020

2018
Screening diabetes mellitus 2 based on electronic health records using temporal features.
Health Informatics J., 2018

2015
Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2015

2012
Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series.
J. Integr. Bioinform., 2012

Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012

2011
Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series.
J. Integr. Bioinform., 2011

Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011


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