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ORCIDStefano Merler
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2020 – today
- 2022
[j24]Pier Francesco Caruso
, Giovanni Angelotti, Massimiliano Greco, Giorgio Guzzetta, Danilo Cereda, Stefano Merler, Maurizio Cecconi:
Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach. Int. J. Medical Informatics 162: 104755 (2022)- 2021
- [j23]Barbara Benigni, Monica Dallabona, Elena Bravi, Stefano Merler, Manlio De Domenico:
Navigating Concepts in the Human Mind Unravels the Latent Geometry of Its Semantic Space. Complex. 2021: 6398407:1-6398407:13 (2021) - [j22]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, Kaiyuan Sun, Xinyue Xiong, Ira M. Longini Jr., M. Elizabeth Halloran, Cécile Viboud, Alessandro Vespignani:
Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. Nat. 600(7887): 127-132 (2021) - 2020
- [j21]Silvio Sarubbo, Matthew C. Tate, Alessandro De Benedictis, Stefano Merler, Sylvie Moritz-Gasser, Guillaume Herbet, Hugues Duffau:
Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain. NeuroImage 205 (2020) - [j20]Quanhui Liu, Ana I. Bento, Kexin Yang, Hang Zhang, Xiaohan Yang, Stefano Merler, Alessandro Vespignani, Jiancheng Lv, Hongjie Yu, Wei Zhang, Tao Zhou, Marco Ajelli:
The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. PLoS Comput. Biol. 16(12) (2020) - [i5]Paolo Cintia, Daniele Fadda, Fosca Giannotti, Luca Pappalardo, Giulio Rossetti, Dino Pedreschi, Salvo Rinzivillo, Pietro Bonato, Francesco Fabbri, Francesco Penone, Marcello Savarese, Daniele Checchi, Francesca Chiaromonte, Paolo Vineis, Giorgio Guzzetta, Flavia Riccardo, Valentina Marziano, Piero Poletti, Filippo Trentini, Antonino Bella, Xanthi Andrianou, Martina Del Manso, Massimo Fabiani, Stefania Bellino, Stefano Boros, Alberto Mateo Urdiales, Maria Fenicia Vescio, Silvio Brusaferro, Giovanni Rezza, Patrizio Pezzotti, Marco Ajelli, Stefano Merler:
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. CoRR abs/2006.03141 (2020)
2010 – 2019
- 2019
- [j19]Giovanni Marini, Giorgio Guzzetta, Cecilia Marques-Toledo, Mauro Teixeira, Roberto Rosà, Stefano Merler:
Effectiveness of Ultra-Low Volume insecticide spraying to prevent dengue in a non-endemic metropolitan area of Brazil. PLoS Comput. Biol. 15(3) (2019) - [i4]Paolo Bosetti, Piero Poletti, Massimo Stella, Bruno Lepri, Stefano Merler, Manlio De Domenico:
Reducing measles risk in Turkey through social integration of Syrian refugees. CoRR abs/1901.04214 (2019) - 2018
- [j18]Valentina Marziano, Piero Poletti, Guillaume Béraud, Pierre-Yves Boëlle, Stefano Merler, Vittoria Colizza:
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. 14(8) (2018) - 2016
- [j17]Laura Fumanelli, Marco Ajelli, Stefano Merler, Neil M. Ferguson, Simon Cauchemez:
Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics. PLoS Comput. Biol. 12(1) (2016) - 2012
- [j16]Laura Fumanelli, Marco Ajelli, Piero Manfredi, Alessandro Vespignani, Stefano Merler:
Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread. PLoS Comput. Biol. 8(9) (2012) - [i3]Davide Albanese, Roberto Visintainer, Stefano Merler, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello:
mlpy: Machine Learning Python. CoRR abs/1202.6548 (2012) - [i2]Stefano Merler, Giuseppe Jurman:
A combinatorial model of malware diffusion via Bluetooth connections. CoRR abs/1204.6248 (2012) - 2011
- [j15]Stefano Merler, Marco Ajelli, Andrea Pugliese, Neil M. Ferguson:
Determinants of the Spatiotemporal Dynamics of the 2009 H1N1 Pandemic in Europe: Implications for Real-Time Modelling. PLoS Comput. Biol. 7(9) (2011) - 2010
- [j14]Fabrizio Iozzi, Francesco Trusiano, Matteo Chinazzi, Francesco C. Billari, Emilio Zagheni, Stefano Merler, Marco Ajelli, Emanuele Del Fava, Piero Manfredi:
Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data. PLoS Comput. Biol. 6(12) (2010) - [c10]Stefano Merler, Marco Ajelli:
Human mobility and population heterogeneity in the spread of an epidemic. ICCS 2010: 2237-2244
2000 – 2009
- 2008
- [j13]Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello:
Machine learning methods for predictive proteomics. Briefings Bioinform. 9(2): 119-128 (2008) - [j12]Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello:
Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. 24(2): 258-264 (2008) - [j11]Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello:
Integrating gene expression profiling and clinical data. Int. J. Approx. Reason. 47(1): 58-69 (2008) - 2007
- [j10]Stefano Merler, Bruno Caprile, Cesare Furlanello:
Parallelizing AdaBoost by weights dynamics. Comput. Stat. Data Anal. 51(5): 2487-2498 (2007) - [j9]Samantha Riccadonna, Giuseppe Jurman, Stefano Merler, Silvano Paoli, Alessandro Quattrone, Cesare Furlanello:
Supervised classification of combined copy number and gene expression data. J. Integr. Bioinform. 4(3) (2007) - [c9]Stefano Merler, Giuseppe Jurman, Cesare Furlanello:
Deriving the Kernel from Training Data. MCS 2007: 32-41 - 2006
- [j8]Stefano Merler, Giuseppe Jurman:
Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. Neural Networks 19(10): 1597-1611 (2006) - [j7]Cesare Furlanello, Stefano Merler, Giuseppe Jurman:
Combining feature selection and DTW for time-varying functional genomics. IEEE Trans. Signal Process. 54(6-2): 2436-2443 (2006) - [c8]Stefano Merler, Giuseppe Jurman, Cesare Furlanello, Caterina Rizzo, Antonino Bella, Marco Massari, Marta Luisa Ciofi degli Atti:
Strategies for containing an influenza pandemic: the case of Italy. BIONETICS 2006: 11 - [c7]Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello:
Proteome Profiling without Selection Bias. CBMS 2006: 941-946 - 2005
- [j6]Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman:
Semisupervised Learning for Molecular Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. 2(2): 110-118 (2005) - [c6]Stefano Merler, Cesare Furlanello, Giuseppe Jurman:
Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. ICIAP 2005: 735-742 - [c5]Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello:
Semisupervised Profiling of Gene Expressions and Clinical Data. WILF 2005: 284-289 - 2004
- [j5]Stefano Merler, Bruno Caprile, Cesare Furlanello:
Bias-Variance Control Via Hard Points Shaving. Int. J. Pattern Recognit. Artif. Intell. 18(5): 891-903 (2004) - [c4]Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman:
Exact Bagging with k-Nearest Neighbour Classifiers. Multiple Classifier Systems 2004: 72-81 - 2003
- [j4]Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman:
Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinform. 4: 54 (2003) - [j3]Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner:
Automatic model selection in cost-sensitive boosting. Inf. Fusion 4(1): 3-10 (2003) - [j2]Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman:
An accelerated procedure for recursive feature ranking on microarray data. Neural Networks 16(5-6): 641-648 (2003) - 2002
- [c3]Bruno Caprile, Cesare Furlanello, Stefano Merler:
Highlighting Hard Patterns via AdaBoost Weights Evolution. Multiple Classifier Systems 2002: 72-80 - [i1]Bruno Caprile, Cesare Furlanello, Stefano Merler:
The Dynamics of AdaBoost Weights Tells You What's Hard to Classify. CoRR cs.LG/0201014 (2002) - 2001
- [c2]Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner:
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis. Multiple Classifier Systems 2001: 32-42 - 2000
- [c1]Cesare Furlanello, Stefano Merler:
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. Multiple Classifier Systems 2000: 220-229
1990 – 1999
- 1997
- [j1]Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler:
Speaker Normalization and Model Selection of Combined Neural Networks. Connect. Sci. 9(1): 31-50 (1997)
Coauthor Index
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