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Prediction of pipe failures in water supply networks for longer time periods through multi-label classification
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Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata
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- Conference Paper
- C3
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Rapid and non destructive prediction of pork microbial quality using volatolome based artificial neural networks
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Hybrid differential equations : integrating mechanistic and data-driven techniques for modelling of water systems
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Identification of phage receptor-binding protein sequences with hidden Markov models and an extreme gradient boosting classifier
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- Conference Paper
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Two novel approaches to identify phage receptor-binding protein sequences
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Improved wood species identification based on multi-view imagery of the three anatomical planes
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Incorporating unmodeled dynamics into first-principles models through machine learning
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A comparative study of machine learning methods for ordinal classification with absolute and relative information
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- Journal Article
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Cold-start problems in data-driven prediction of drug-drug interaction effects