Nicola Lazzarini

Publication Activity (10 Years)

Years Active: 2014-2017
Publications (10 Years): 5

Top Topics

Machine Learning

Class Imbalance

Mass Spectrometry

Top Venues

EvoApplications (1)

Pattern Recognit. Lett.

Publications

Nicola Lazzarini, Jaume Bacardit
RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers. BMC Bioinform. 18 (1) (2017)
Simon Baron, Nicola Lazzarini, Jaume Bacardit
Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data. EvoApplications (1) (2017)
Nicola Lazzarini, Pawel Widera, Stuart Williamson, Rakesh Heer, Natalio Krasnogor, Jaume Bacardit
Functional networks inference from rule-based machine learning models. BioData Min. 9 (2016)
Loris Nanni, Carlo Fantozzi, Nicola Lazzarini
Coupling different methods for overcoming the class imbalance problem. Neurocomputing 158 (2015)
Nicola Lazzarini, Loris Nanni, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Teresa Maria Seccia, Gian Paolo Rossi
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism. Pattern Recognit. Lett. 65 (2015)
Jaume Bacardit, Pawel Widera, Nicola Lazzarini, Natalio Krasnogor
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example. Big Data 2 (3) (2014)