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Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena


Oct 23, 2018
Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi


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Probabilistic Causal Analysis of Social Influence


Aug 29, 2018
Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti

* CIKM 18, October 22-26, 2018, Torino, Italy 

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Improved survival of cancer patients admitted to the ICU between 2002 and 2011 at a U.S. teaching hospital


Aug 06, 2018
Chris Sauer, Jinghui Dong, Leo Celi, Daniele Ramazzotti


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Withholding aggressive treatments may not accelerate time to death among dying ICU patients


Aug 04, 2018
Daniele Ramazzotti, Peter Clardy, Leo Anthony Celi, David J. Stone, Robert S. Rudin


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Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks


Aug 03, 2018
Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti


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Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes


Aug 03, 2018
Stefano Beretta, Mauro Castelli, Ivo Goncalves, Roberto Henriques, Daniele Ramazzotti


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Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks


Jul 05, 2018
Daniele Ramazzotti, Alex Graudenzi, Giulio Caravagna, Marco Antoniotti


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Causal Data Science for Financial Stress Testing


Apr 14, 2018
Gelin Gao, Bud Mishra, Daniele Ramazzotti


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SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning


Jan 18, 2018
Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou


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Learning mutational graphs of individual tumor evolution from multi-sample sequencing data


Sep 04, 2017
Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna


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On learning the structure of Bayesian Networks and submodular function maximization


Jun 07, 2017
Giulio Caravagna, Daniele Ramazzotti, Guido Sanguinetti


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Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks


Mar 08, 2017
Stefano Beretta, Mauro Castelli, Ivo Goncalves, Ivan Merelli, Daniele Ramazzotti


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Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models


Mar 08, 2017
Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti


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Exposing the Probabilistic Causal Structure of Discrimination


Mar 08, 2017
Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti


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A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution


Feb 15, 2016
Daniele Ramazzotti

* Doctoral thesis, University of Milan 

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Inference of Cancer Progression Models with Biological Noise


Aug 26, 2014
Ilya Korsunsky, Daniele Ramazzotti, Giulio Caravagna, Bud Mishra


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