Paola Sebastiani

According to our database1, Paola Sebastiani authored at least 37 papers between 1996 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A comparison of genetic imputation methods using Long Life Family Study genotypes and sequence data with the 1000 Genome reference panel.
Int. J. Bioinform. Res. Appl., 2020

2019
PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects.
Bioinform., 2019

2013
PleioGRiP: genetic risk prediction with pleiotropy.
Bioinform., 2013

2012
Comparing Bowtie and BWA to Align Short Reads from a RNA-Seq Experiment.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012

Intelligent Data Analysis of Human Genetic Data.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

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

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

2008
Evolution and challenges in the design of computational systems for triage assistance.
J. Biomed. Informatics, 2008

Conditional clustering of temporal expression profiles.
BMC Bioinform., 2008

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

Multivariate Imputation of Genotype Data Using Short and Long Range Disequilibrium.
Proceedings of the Computer Aided Systems Theory, 2007

2006
Building chromosome-wide LD maps.
Bioinform., 2006

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

Bayesian Correction for SNP Ascertainment Bias.
Proceedings of the Modeling Decisions for Artificial Intelligence, 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

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

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

2004
Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience.
J. Am. Medical Informatics Assoc., 2004

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

Automated Detection of Influenza Epidemics with Hidden Markov Models.
Proceedings of the Advances in Intelligent Data Analysis V, 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
On the Derivatives of Matrix Powers.
SIAM J. Matrix Anal. Appl., 1996


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