Nicola Lazzarini - researchr alias

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Viewing Publication 1 - 7 from 7

2017

Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics DataSimon Baron, Nicola Lazzarini, Jaume Bacardit. evoW 2017: 125-141 [doi]

Knowledge extraction from biomedical data using machine learningNicola Lazzarini. PhD thesis, Newcastle University, Newcastle upon Tyne, UK, 2017. [doi]

RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkersNicola Lazzarini, Jaume Bacardit. bmcbi, 18(1):322, 2017. [doi]

2016

Functional networks inference from rule-based machine learning modelsNicola Lazzarini, Pawel Widera, Stuart Williamson, Rakesh Heer, Natalio Krasnogor, Jaume Bacardit. biodatamining, 9:28, 2016. [doi]

2015

Heterogeneous machine learning system for improving the diagnosis of primary aldosteronismNicola Lazzarini, Loris Nanni, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Teresa Maria Seccia, Gian Paolo Rossi. prl, 65:124-130, 2015. [doi]

Coupling different methods for overcoming the class imbalance problemLoris Nanni, Carlo Fantozzi, Nicola Lazzarini. ijon, 158:48-61, 2015. [doi]

2014

Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an ExampleJaume Bacardit, Pawel Widera, Nicola Lazzarini, Natalio Krasnogor. bigdata, 2(3):164-176, 2014. [doi]

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