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Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction
(Elsevier, 2023-04)
Article
Open AccessBacterial resistance to antibiotics has been rapidly increasing, resulting in a low antibiotic effectiveness even treating common infections. The presence of resistant pathogens in environments such as a hospital Intensive ... -
Evolution of ecological patterns of land use changes in European metropolitan areas
(2022-11-15)
Article
Open AccessThis paper aims to analyze the evolution of land-use patterns and the Eco-Environmental Quality Index (EQI) in major European metropolitan areas. To this end, nighttime remote sensing images will be used to delineate ten ... -
Interpretable prediction of mortality in liver transplant recipients based on machine learning
(Elsevier, 2022-12)
Article
Restricted access - publisher's policyBackground: Accurate prediction of the mortality of post-liver transplantation is an important but challenging task. It relates to optimizing organ allocation and estimating the risk of possible dysfunction. Existing risk ... -
Economic linear parameter varying model predictive control of the aeration system of a wastewater treatment plant
(2022-08-11)
Article
Open AccessThis work proposes an economic model predictive control (EMPC) strategy in the linear parameter varying (LPV) framework for the control of dissolved oxygen concentrations in the aerated reactors of a wastewater treatment ... -
Reward-penalty weighted ensemble for emotion state classification from multi-modal data streams
(World Scientific Publishing, 2022-09-21)
Article
Restricted access - publisher's policyResearchers have shown the limitations of using the single-modal data stream for emotion classification. Multi-modal data streams are therefore deemed necessary to improve the accuracy and performance of online emotion ... -
ICU-acquired pneumonia is associated with poor health post-COVID-19 syndrome
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-31)
Article
Open AccessSome patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to non-critically ... -
Scanflow: A multi-graph framework for machine learning workflow management, supervision, and debugging
(2022-09-15)
Article
Restricted access - publisher's policyMachine Learning (ML) is more than just training models, the whole workflow must be considered. Once deployed, a ML model needs to be watched and constantly supervised and debugged to guarantee its validity and robustness ... -
A federated learning method for real-time emotion state classification from multi-modal streaming
(Elsevier, 2022-08)
Article
Open AccessEmotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ... -
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms
(2022-07-15)
Article
Restricted access - publisher's policyThe management of sick leaves is a critical task that public and private health systems carry out. This enables the good care of sick workers and guarantees a safe return to their jobs. Most health systems enforce regulations ... -
Heuri: a Scrabble© playing engine using a probability-based heuristic
(2022-02-16)
Article
Open AccessThe game of Scrabble has been successfully tackled by two engines: Quackle and Maven. They attain the state-of-the-art in Computer Scrabble. These engines use simulation techniques and precalculated values to achieve ... -
Bootstrap–CURE: A novel clustering approach for sensor data: an application to 3D printing industry
(2022-02-19)
Article
Open AccessThe agenda of Industry 4.0 highlights smart manufacturing by making machines smart enough to make data-driven decisions. Large-scale 3D printers, being one of the important pillars in Industry 4.0, are equipped with smart ... -
Operational modes detection in industrial gas turbines using an ensemble of clustering methods
(2021-12-01)
Article
Open AccessOperational modes of a process are described by a number of relevant features that are indicative of the state of the process. Hundreds of sensors continuously collect data in industrial systems, which shows how the ...
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