Marco Ramoni

According to our database1, Marco Ramoni authored at least 55 papers between 1992 and 2012.

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Bibliography

2012
Transcriptional network predicts viral set point during acute HIV-1 infection.
J. Am. Medical Informatics Assoc., 2012

2011
Inferring Nonstationary Gene Networks from Longitudinal Gene Expression Microarrays.
J. Signal Process. Syst., 2011

Inferring cell cycle feedback regulation from gene expression data.
J. Biomed. Informatics, 2011

Is the reduction of dimensionality to a small number of features always necessary in constructing predictive models for analysis of complex diseases or behaviours?
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Bayesian Networks.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Introduction to the special issue on information theory in molecular biology and neuroscience.
IEEE Trans. Inf. Theory, 2010

Mapping transcription mechanisms from multimodal genomic data.
BMC Bioinform., 2010

The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms.
Briefings Bioinform., 2010

Session Introduction.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2009
Learning Bayesian Networks.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR.
J. Biomed. Informatics, 2009

Research Paper: Prediction of Chronic Obstructive Pulmonary Disease (COPD) in Asthma Patients Using Electronic Medical Records.
J. Am. Medical Informatics Assoc., 2009

Transcriptional network classifiers.
BMC Bioinform., 2009

Selected proceedings of the First Summit on Translational Bioinformatics 2008.
BMC Bioinform., 2009

Session Introduction.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Robust cross-race gene expression analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Automated programming for bioinformatics algorithm deployment.
Bioinform., 2008

System-Wide Peripheral Biomarker Discovery Using Information Theory.
Proceedings of the Biocomputing 2008, 2008

Characterization of Patients who Suffer Asthma Exacerbations using Data Extracted from Electronic Medical Records.
Proceedings of the AMIA 2008, 2008

2007
Erratum to "Bioinformatics and Proteomics: An Engineering Problem Solving-Based Approach".
IEEE Trans. Educ., 2007

Bioinformatics and Proteomics: An Engineering Problem Solving-Based Approach.
IEEE Trans. Educ., 2007

GO PaD: the Gene Ontology Partition Database.
Nucleic Acids Res., 2007

Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks.
BMC Bioinform., 2007

Statistical Mechanics of Biological Networks.
Proceedings of the UAI 2007, 2007

A Systematic Approach to Quantifying Evolutionary Functional Trends Across the Universal Tree of Life.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Linking Protein Mass with Function via Organismal Massome Networks.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Gene Lethality Detection and Characterization via Topological Analysis of Regulatory Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

Clustering Short Gene Expression Profiles.
Proceedings of the Research in Computational Molecular Biology, 2006

Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Discovering Biological Guilds through Topological Abstraction.
Proceedings of the AMIA 2006, 2006

2005
Factors affecting automated syndromic surveillance.
Artif. Intell. Medicine, 2005

Bayesian Networks.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2003
Editorial: Methods in Functional Genomics.
Mach. Learn., 2003

2002
Bayesian Clustering by Dynamics.
Mach. Learn., 2002

2001
Robust Learning with Missing Data.
Mach. Learn., 2001

Robust Bayes classifiers.
Artif. Intell., 2001

Sequence Learning via Bayesian Clustering by Dynamics.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Clustering Continuous Time Series.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
Profiling your Customers using Bayesian Networks.
SIGKDD Explor., 2000

Unsupervised clustering of robot activities: a Bayesian approach.
Proceedings of the Fourth International Conference on Autonomous Agents, 2000

Multivariate Clustering by Dynamics.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Discovering Dynamics Using Bayesian Clustering.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Model folding for data subject to nonresponse.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Learning conditional probabilities from incomplete databases - An experimental comparison.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Parameter Estimation in Bayesian Networks from Incomplete Databases.
Intell. Data Anal., 1998

Decision Theoretic Foundations of Graphical Model Selection.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Induction of Graphical Models from Incomplete Samples.
Proceedings of the COMPSTAT 1998, 1998

1997
Learning Bayesian Networks from Incomplete Databases.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases.
Proceedings of the Advances in Intelligent Data Analysis, 1997

1996
LispWeb: A Specialized HTTP Server for Distributed AI Applications.
Comput. Networks, 1996

1995
An ignorant belief network to forecast glucose concentration from clinical databases.
Artif. Intell. Medicine, 1995

Ignorant Influence Diagrams.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Medical Decision Making Using Ignorant Influence Diagrams.
Proceedings of the Artificial Intelligence Medicine, 1995

1994
Belief Maintenance in Bayesian Networks.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1992
An epistemological framework for medical knowledge-based systems.
IEEE Trans. Syst. Man Cybern., 1992


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