Nicola Lazzarini
Nicola Lazzarini
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Coupling different methods for overcoming the class imbalance problem
L Nanni, C Fantozzi, N Lazzarini
Neurocomputing 158, 48-61, 2015
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women
N Lazzarini, J Runhaar, AC Bay-Jensen, CS Thudium, ...
Osteoarthritis and cartilage 25 (12), 2014-2021, 2017
RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers
N Lazzarini, J Bacardit
BMC bioinformatics 18 (1), 1-22, 2017
Functional networks inference from rule-based machine learning models
N Lazzarini, P Widera, S Williamson, R Heer, N Krasnogor, J Bacardit
BioData mining 9 (1), 1-23, 2016
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example
J Bacardit, P Widera, N Lazzarini, N Krasnogor
Big Data 2 (3), 164--176, 2014
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism
N Lazzarini, L Nanni, C Fantozzi, A Pietracaprina, G Pucci, TM Seccia, ...
Pattern Recognition Letters 65, 124-130, 2015
Heterogeneous Ensembles for the Missing Feature Problem
L Nanni, S Brahnam, C Fantozzi, N Lazzarini
2013 Annual Meeting of the Northeast Decision Sciences Institute,New York, 2013
Characterising the influence of rule-based knowledge representations in biological knowledge extraction from transcriptomics data
S Baron, N Lazzarini, J Bacardit
European Conference on the Applications of Evolutionary Computation, 125-141, 2017
Identification of CNGB1 as a Predictor of Response to Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer
AC Hepburn, N Lazzarini, R Veeratterapillay, L Wilson, J Bacardit, R Heer
Cancers 13 (15), 3903, 2021
Tecniche di apprendimento automatico per l'identificazione dell'iperaldosteronismo primario
N Lazzarini
A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients
N Lazzarini, A Filippoupolitis, P Manzione, H Eleftherohorinou
PloS one 17 (7), e0271227, 2022
A machine learning pipeline for the identification of predictive biomarkers and its application to knee osteoarthritis
N Lazzarini, J Bacardit
F1000Research 6, 2017
Knowledge extraction from biomedical data using machine learning
N Lazzarini
Newcastle University, 2017
Heterogeneous Machine Learning System for Diagnosing Primary Aldosteronism
N Lazzarini, L Nanni, C Fantozzi, A Pietracaprina, G Pucci, MT Seccia, ...
Journal of Hypertension 31 (e-Supplement A), e409, 2013
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