André V. Carreiro
Orcid: 0000-0002-4234-5336Affiliations:
- 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 20 papers
between 2011 and 2024.
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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
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
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
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
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