Speaker Normalization and Model Selection of Combined Neural Networks. - Cesare Furlanello; Diego Giuliani; Edmondo Trentin; Stefano Merler (Connect. Sci., 1997)

Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. - Cesare Furlanello; Stefano Merler (Multiple Classifier Systems, 2000)

Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis. - Stefano Merler; Cesare Furlanello; Barbara Larcher; Andrea Sboner (Multiple Classifier Systems, 2001)

Highlighting Hard Patterns via AdaBoost Weights Evolution. - Bruno Caprile; Cesare Furlanello; Stefano Merler (Multiple Classifier Systems, 2002)

The Dynamics of AdaBoost Weights Tells You What's Hard to Classify - Bruno Caprile; Cesare Furlanello; Stefano Merler (CoRR, 2002)

Gene selection and classification by entropy-based recursive feature elimination. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (IJCNN, 2003)

Entropy-based gene ranking without selection bias for the predictive classification of microarray data. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (BMC Bioinform., 2003)

Automatic model selection in cost-sensitive boosting. - Stefano Merler; Cesare Furlanello; Barbara Larcher; Andrea Sboner (Inf. Fusion, 2003)

An accelerated procedure for recursive feature ranking on microarray data. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (Neural Networks, 2003)

Exact Bagging with k-Nearest Neighbour Classifiers. - Bruno Caprile; Stefano Merler; Cesare Furlanello; Giuseppe Jurman (Multiple Classifier Systems, 2004)

Bias-Variance Control Via Hard Points Shaving. - Stefano Merler; Bruno Caprile; Cesare Furlanello (Int. J. Pattern Recognit. Artif. Intell., 2004)

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. - Stefano Merler; Cesare Furlanello; Giuseppe Jurman (ICIAP, 2005)

Semisupervised Profiling of Gene Expressions and Clinical Data. - Silvano Paoli; Giuseppe Jurman; Davide Albanese; Stefano Merler; Cesare Furlanello (WILF, 2005)

Semisupervised Learning for Molecular Profiling. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Strategies for containing an influenza pandemic: the case of Italy. - Stefano Merler; Giuseppe Jurman; Cesare Furlanello; Caterina Rizzo; Antonino Bella; Marco Massari; Marta Luisa Ciofi degli Atti (BIONETICS, 2006)

Proteome Profiling without Selection Bias. - Annalisa Barla; Bettina Irler; Stefano Merler; Giuseppe Jurman; Silvano Paoli; Cesare Furlanello (CBMS, 2006)

Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. - Stefano Merler; Giuseppe Jurman (Neural Networks, 2006)

Combining feature selection and DTW for time-varying functional genomics. - Cesare Furlanello; Stefano Merler; Giuseppe Jurman (IEEE Trans. Signal Process., 2006)

Deriving the Kernel from Training Data. - Stefano Merler; Giuseppe Jurman; Cesare Furlanello (MCS, 2007)

Parallelizing AdaBoost by weights dynamics. - Stefano Merler; Bruno Caprile; Cesare Furlanello (Comput. Stat. Data Anal., 2007)

Supervised classification of combined copy number and gene expression data. - Samantha Riccadonna; Giuseppe Jurman; Stefano Merler; Silvano Paoli; Alessandro Quattrone; Cesare Furlanello (J. Integr. Bioinform., 2007)

Machine learning methods for predictive proteomics. - Annalisa Barla; Giuseppe Jurman; Samantha Riccadonna; Stefano Merler; Marco Chierici; Cesare Furlanello (Briefings Bioinform., 2008)

Algebraic stability indicators for ranked lists in molecular profiling. - Giuseppe Jurman; Stefano Merler; Annalisa Barla; Silvano Paoli; Antonio Galea; Cesare Furlanello (Bioinform., 2008)

Integrating gene expression profiling and clinical data. - Silvano Paoli; Giuseppe Jurman; Davide Albanese; Stefano Merler; Cesare Furlanello (Int. J. Approx. Reason., 2008)

Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data. - Fabrizio Iozzi; Francesco Trusiano; Matteo Chinazzi; Francesco C. Billari; Emilio Zagheni; Stefano Merler; Marco Ajelli; Emanuele Del Fava; Piero Manfredi (PLoS Comput. Biol., 2010)

Human mobility and population heterogeneity in the spread of an epidemic. - Stefano Merler; Marco Ajelli (ICCS, 2010)

Determinants of the Spatiotemporal Dynamics of the 2009 H1N1 Pandemic in Europe: Implications for Real-Time Modelling. - Stefano Merler; Marco Ajelli; Andrea Pugliese 003; Neil M. Ferguson (PLoS Comput. Biol., 2011)

mlpy: Machine Learning Python - Davide Albanese; Roberto Visintainer; Stefano Merler; Samantha Riccadonna; Giuseppe Jurman; Cesare Furlanello (CoRR, 2012)

A combinatorial model of malware diffusion via Bluetooth connections - Stefano Merler; Giuseppe Jurman (CoRR, 2012)

Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread. - Laura Fumanelli; Marco Ajelli; Piero Manfredi; Alessandro Vespignani; Stefano Merler (PLoS Comput. Biol., 2012)

Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics. - Laura Fumanelli; Marco Ajelli; Stefano Merler; Neil M. Ferguson; Simon Cauchemez (PLoS Comput. Biol., 2016)

Modeling the impact of changes in day-care contact patterns on the dynamics of varicella transmission in France between 1991 and 2015. - Valentina Marziano; Piero Poletti; Guillaume Béraud; Pierre-Yves Boëlle; Stefano Merler; Vittoria Colizza (PLoS Comput. Biol., 2018)

Reducing measles risk in Turkey through social integration of Syrian refugees. - Paolo Bosetti; Piero Poletti; Massimo Stella; Bruno Lepri; Stefano Merler; Manlio De Domenico (CoRR, 2019)

Effectiveness of Ultra-Low Volume insecticide spraying to prevent dengue in a non-endemic metropolitan area of Brazil. - Giovanni Marini; Giorgio Guzzetta; Cecilia Marques-Toledo; Mauro Teixeira; Roberto Rosà; Stefano Merler (PLoS Comput. Biol., 2019)

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. - Paolo Cintia; Daniele Fadda; Fosca Giannotti; Luca Pappalardo; Giulio Rossetti; Dino Pedreschi; Salvo Rinzivillo; Pietro Bonato; Francesco Fabbri; Francesco Penone; Marcello Savarese; Daniele Checchi; et al. (CoRR, 2020)

Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain. - Silvio Sarubbo; Matthew C. Tate; Alessandro De Benedictis; Stefano Merler; Sylvie Moritz-Gasser; Guillaume Herbet; Hugues Duffau (NeuroImage, 2020)

The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. - Quanhui Liu; Ana I. Bento; Kexin Yang 002; Hang Zhang 029; Xiaohan Yang; Stefano Merler; Alessandro Vespignani; Jiancheng Lv 001; Hongjie Yu; Wei Zhang; Tao Zhou 001; Marco Ajelli (PLoS Comput. Biol., 2020)

Navigating Concepts in the Human Mind Unravels the Latent Geometry of Its Semantic Space. - Barbara Benigni; Monica Dallabona; Elena Bravi; Stefano Merler; Manlio De Domenico (Complex., 2021)

Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. - Jessica T. Davis; Matteo Chinazzi; Nicola Perra; Kunpeng Mu; Ana L. Pastore y Piontti; Marco Ajelli; Natalie E. Dean; Corrado Gioannini; Maria Litvinova; Stefano Merler; Luca Rossi 010; Kaiyuan Sun; et al. (Nat., 2021)

Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach. - Pier Francesco Caruso; Giovanni Angelotti; Massimiliano Greco; Giorgio Guzzetta; Danilo Cereda; Stefano Merler; Maurizio Cecconi (Int. J. Medical Informatics, 2022)

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance. - Lorenzo Lucchini; Valentina Marziano; Filippo Trentini; Chiara Chiavenna; Elena D'Agnese; Vittoria Offeddu; Mattia Manica; Piero Poletti; Duilio Balsamo; Giorgio Guzzetta; Marco Aielli; Alessia Melegaro; et al. (CoRR, 2024)