Search Results - "Carreiro, Andre V."

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors by Nunes, Maria Lua, Folgado, Duarte, Fujao, Carlos, Silva, Luis, Rodrigues, Joao, Matias, Pedro, Barandas, Marilia, Carreiro, Andre V., Madeira, Sara, Gamboa, Hugo

“…Musculoskeletal disorders (MSD) are a highly prevalent work-related health problem. Biomechanical exposure to hazardous postures during work is a risk factor…”
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Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline by Matias, Pedro, Costa, Joao, Carreiro, Andre V., Gamboa, Hugo, Sousa, Ines, Gomez, Pedro, Sousa, Joana, Neuparth, Nuno, Carreiro-Martins, Pedro, Soares, Filipe

“…As long as the COVID-19 pandemic is still active in most countries worldwide, rapid diagnostic continues to be crucial to mitigate the impact of seasonal…”
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Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches by Narotamo, Hemaxi, Dias, Mariana, Santos, Ricardo, Carreiro, André V., Gamboa, Hugo, Silveira, Margarida

“…The improved diagnosis of cardiovascular diseases (CVD) from electrocardiograms (ECG) may help prevent their severity. Since Deep Learning (DL) became popular,…”
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Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition by Bento, Nuno, Rebelo, Joana, Carreiro, André V, Ravache, François, Barandas, Marília

“…The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently…”
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Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition by Bento, Nuno, Rebelo, Joana, Barandas, Marília, Carreiro, André V., Campagner, Andrea, Cabitza, Federico, Gamboa, Hugo

“…Human Activity Recognition (HAR) has been studied extensively, yet current approaches are not capable of generalizing across different domains (i.e., subjects,…”
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Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources by Santos, Ricardo, Ribeiro, Bruno, Sousa, Inês, Santos, Jorge, Guede-Fernández, Federico, Dias, Pedro, Carreiro, André V, Gamboa, Hugo, Coelho, Pedro, Fragata, José, Londral, Ana

“…Cardiac surgery patients are highly prone to severe complications post-discharge. Close follow-up through remote patient monitoring can help detect adverse…”
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Quantifying the Displacement of Data Matrix Code Modules: A Comparative Study of Different Approximation Approaches for Predictive Maintenance of Drop-on-Demand Printing Systems by Bischoff, Peter, Carreiro, André V, Schuster, Christiane, Härtling, Thomas

“…Drop-on-demand printing using colloidal or pigmented inks is prone to the clogging of printing nozzles, which can lead to positional deviations and…”
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Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis by Carreiro, André V., Amaral, Pedro M.T., Pinto, Susana, Tomás, Pedro, de Carvalho, Mamede, Madeira, Sara C.

“…[Display omitted] •New strategy for creating patient snapshots based on hierarchical clustering.•Approach based on time windows to predict respiratory failure…”
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Integrative biomarker discovery in neurodegenerative diseases by Carreiro, André V., Mendonça, Alexandre, de Carvalho, Mamede, Madeira, Sara C.

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Integrative biomarker discovery in neurodegenerative diseases by Carreiro, André V., Mendonça, Alexandre, de Carvalho, Mamede, Madeira, Sara C.

“…Data mining has been widely applied in biomarker discovery resulting in significant findings of different clinical and biological biomarkers. With developments…”
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Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series by Carreiro, André V., Anunciação, Orlando, Carriço, João A., Madeira, Sara C.

“…The constant drive towards a more personalized medicine led to an increasing interest in temporal gene expression analyzes. It is now broadly accepted that…”
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Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series by Carreiro, André V., Ferreira, Artur J., Figueiredo, Mário A. T., Madeira, Sara C.

“…Biclustering has been recognized as a remarkably effective method for discovering local temporal expression patterns and unraveling potential regulatory…”
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Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series by Carreiro, André V., Ferreira, Artur J., Figueiredo, Mário A. T., Madeira, Sara C.

“…Biclustering has been recognized as a remarkably effective method for discovering local temporal expression patterns and unraveling potential regulatory…”
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En route to automated maintenance of industrial printing systems: digital quantification of print-quality factors based on induced printing failure by Bischoff, Peter, Carreiro, André V, Kroh, Christoph, Schuster, Christiane, Härtling, Thomas

“…Tracking and tracing are a key technology for production process optimization and subsequent cost reduction. However, several industrial environments (e.g…”
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Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series by Carreiro, André V., Anunciação, Orlando, Carriço, João A., Madeira, Sara C.

“…The constant drive towards a more personalized medicine led to an increasing interest in temporal gene expression analyzes. It is now broadly accepted that…”
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Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline by Matias, Pedro, Costa, Joao, Carreiro, Andre V, Gamboa, Hugo, Sousa, Ines, Gomez, Pedro, Sousa, Joana, Neuparth, Nuno, Carreiro-Martins, Pedro, Soares, Filipe

“…As long as the COVID-19 pandemic is still active in most countries worldwide, rapid diagnostic continues to be crucial to mitigate the impact of seasonal…”
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Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study by Pissarra, David, Curioso, Isabel, Alveira, João, Pereira, Duarte, Ribeiro, Bruno, Souper, Tomás, Gomes, Vasco, Carreiro, André V, Rolla, Vitor

“…Automated clinical text anonymization has the potential to unlock the widespread sharing of textual health data for secondary usage while assuring patient…”
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