According to our database1, Stefano Merler authored at least 30 papers between 1997 and 2016.
Legend:Book In proceedings Article PhD thesis Other
Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics.
PLoS Computational Biology, 2016
Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread.
PLoS Computational Biology, 2012
A combinatorial model of malware diffusion via Bluetooth connections
mlpy: Machine Learning Python
Determinants of the Spatiotemporal Dynamics of the 2009 H1N1 Pandemic in Europe: Implications for Real-Time Modelling.
PLoS Computational Biology, 2011
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 Computational Biology, 2010
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reasoning, 2008
Algebraic stability indicators for ranked lists in molecular profiling.
Machine learning methods for predictive proteomics.
Briefings in Bioinformatics, 2008
Supervised classification of combined copy number and gene expression data.
J. Integrative Bioinformatics, 2007
Parallelizing AdaBoost by weights dynamics.
Computational Statistics & Data Analysis, 2007
Deriving the Kernel from Training Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
Combining feature selection and DTW for time-varying functional genomics.
IEEE Trans. Signal Processing, 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
Semisupervised Learning for Molecular Profiling.
IEEE/ACM Trans. Comput. Biology 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
Bias-Variance Control Via Hard Points Shaving.
Exact Bagging with k-Nearest Neighbour Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004
An accelerated procedure for recursive feature ranking on microarray data.
Neural Networks, 2003
Automatic model selection in cost-sensitive boosting.
Information Fusion, 2003
Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinformatics, 2003
The Dynamics of AdaBoost Weights Tells You What's Hard to Classify
Highlighting Hard Patterns via AdaBoost Weights Evolution.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
Speaker Normalization and Model Selection of Combined Neural Networks.
Connect. Sci., 1997