Stefano Merler

According to our database1, Stefano Merler authored at least 38 papers between 1997 and 2022.

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Bibliography

2022
Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach.
Int. J. Medical Informatics, 2022

2021
Navigating Concepts in the Human Mind Unravels the Latent Geometry of Its Semantic Space.
Complex., 2021

2020
The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
PLoS Comput. Biol., 2020

Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain.
NeuroImage, 2020

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy.
CoRR, 2020

2019
Effectiveness of Ultra-Low Volume insecticide spraying to prevent dengue in a non-endemic metropolitan area of Brazil.
PLoS Comput. Biol., 2019

Reducing measles risk in Turkey through social integration of Syrian refugees.
CoRR, 2019

2018
Modeling the impact of changes in day-care contact patterns on the dynamics of varicella transmission in France between 1991 and 2015.
PLoS Comput. Biol., 2018

2016
Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics.
PLoS Comput. Biol., 2016

2012
Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread.
PLoS Comput. Biol., 2012

A combinatorial model of malware diffusion via Bluetooth connections
CoRR, 2012

mlpy: Machine Learning Python
CoRR, 2012

2011
Determinants of the Spatiotemporal Dynamics of the 2009 H1N1 Pandemic in Europe: Implications for Real-Time Modelling.
PLoS Comput. Biol., 2011

2010
Human mobility and population heterogeneity in the spread of an epidemic.
Proceedings of the International Conference on Computational Science, 2010

Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data.
PLoS Comput. Biol., 2010

2008
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reason., 2008

Algebraic stability indicators for ranked lists in molecular profiling.
Bioinform., 2008

Machine learning methods for predictive proteomics.
Briefings Bioinform., 2008

2007
Supervised classification of combined copy number and gene expression data.
J. Integr. Bioinform., 2007

Parallelizing AdaBoost by weights dynamics.
Comput. Stat. Data Anal., 2007

Deriving the Kernel from Training Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006
Combining feature selection and DTW for time-varying functional genomics.
IEEE Trans. Signal Process., 2006

Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel.
Neural Networks, 2006

Proteome Profiling without Selection Bias.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Strategies for containing an influenza pandemic: the case of Italy.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006

2005
Semisupervised Learning for Molecular Profiling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Semisupervised Profiling of Gene Expressions and Clinical Data.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs.
Proceedings of the Image Analysis and Processing, 2005

2004
Bias-Variance Control Via Hard Points Shaving.
Int. J. Pattern Recognit. Artif. Intell., 2004

Exact Bagging with k-Nearest Neighbour Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003
An accelerated procedure for recursive feature ranking on microarray data.
Neural Networks, 2003

Automatic model selection in cost-sensitive boosting.
Inf. Fusion, 2003

Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinform., 2003

2002
The Dynamics of AdaBoost Weights Tells You What's Hard to Classify
CoRR, 2002

Highlighting Hard Patterns via AdaBoost Weights Evolution.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

1997
Speaker Normalization and Model Selection of Combined Neural Networks.
Connect. Sci., 1997


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