Marco Ramoni

发表

Decision Theoretic Foundations of Graphical Model Selection

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1998, UAI.

Erratum to "Bioinformatics and Proteomics: An Engineering Problem Solving-Based Approach"

Gil Alterovitz, Marco Ramoni, 2007, IEEE Trans. Educ..

Bayesian Clustering by Dynamics Contents 1 Introduction 1 2 Clustering Markov Chains 2

Paul R. Cohen, Paola Sebastiani, Marco Ramoni, 2022 .

Innovation in tunnel support systems: deformable linings

Georg Anagnostou, Marco Ramoni, Florence Mezger, 2017 .

Learning Bayesian Networks from Incomplete Databases pdf

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1997, UAI.

Forecasting Glucose Concentration in Diabetic Patients using Ignorant Belief Networks

Vimla L. Patel, Mario Stefanelli, Marco Ramoni, 1994 .

Discovering Dynamics Using Bayesian Clustering

Paul R. Cohen, Paola Sebastiani, Marco Ramoni, 1999, IDA.

Session Introduction

Gil Alterovitz, Judith A. Blake, Jonathan M. Dreyfuss, 2003, Pacific Symposium on Biocomputing.

c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Robust Learning with Missing Data

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 2022 .

LispWeb: A Specialized HTTP Server for Distributed AI Applications

Alberto Riva, Marco Ramoni, 1996, Comput. Networks.

Inferring Nonstationary Gene Networks from Longitudinal Gene Expression Microarrays

Marco Ramoni, Hsun-Hsien Chang, 2011, J. Signal Process. Syst..

Ignorant Influence Diagrams

Marco Ramoni, M. Ramoni, 1995, IJCAI.

Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records.

Scott T. Weiss, Isaac S. Kohane, Yi Dai, 2009, Journal of the American Medical Informatics Association : JAMIA.

Editorial: Methods in Functional Genomics

Paola Sebastiani, Isaac S. Kohane, Marco Ramoni, 2003, Machine Learning.

Clustering Continuous Time Series

Paola Sebastiani, Marco Ramoni, 2001, ICML.

Unsupervised clustering of robot activities: a Bayesian approach

Paul R. Cohen, Paola Sebastiani, Marco Ramoni, 2000, AGENTS '00.

Discovering Biological Guilds through Topological Abstraction

Gil Alterovitz, Marco Ramoni, M. Ramoni, 2006, AMIA.

Learning Bayesian Networks

Paola Sebastiani, Marco Ramoni, D. Heckerman, 2009, Encyclopedia of Data Warehousing and Mining.

Statistical Mechanics of Biological Networks

Marco Ramoni, M. Ramoni, 2007, UAI.

GO PaD: the Gene Ontology Partition Database

Gil Alterovitz, Marco Ramoni, Michael Xiang, 2006, Nucleic Acids Res..

Gene Lethality Detection and Characterization via Topological Analysis of Regulatory Networks

Gil Alterovitz, Marco Ramoni, Vinayak Muralidhar, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR

Atul J. Butte, Marco Ramoni, Sangeeta B. English, 2009, J. Biomed. Informatics.

Clustering Short Gene Expression Profiles

Paola Sebastiani, Ling Wang, Marco Ramoni, 2006, RECOMB.

Basic Science in Medical Reasoning: An Artificial Intelligence Approach

Alberto Riva, Marco Ramoni, 1997, Advances in health sciences education : theory and practice.

Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks

Riccardo Bellazzi, Paola Sebastiani, Marco Ramoni, 2007, BMC Bioinformatics.

Multivariate Clustering by Dynamics

Paul R. Cohen, Paola Sebastiani, Marco Ramoni, 2000, AAAI/IAAI.

Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data

Riccardo Bellazzi, Paola Sebastiani, Isaac S. Kohane, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Parameter Estimation in Bayesian Networks from Incomplete Databases

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1998, Intell. Data Anal..

Characterization of Patients who Suffer Asthma Exacerbations using Data Extracted from Electronic Medical Records

Scott T. Weiss, Isaac S. Kohane, Marco Ramoni, 2008, AMIA.

Selected proceedings of the First Summit on Translational Bioinformatics 2008

Atul J. Butte, Olga G. Troyanskaya, Yves A. Lussier, 2009, BMC Bioinformatics.

Robust Bayes classifiers

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 2001, Artif. Intell..

Robust cross-race gene expression analysis

Marco Ramoni, Hsun-Hsien Chang, M. Ramoni, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

System-Wide Peripheral Biomarker Discovery Using Information Theory

Gil Alterovitz, Jonathan Liu, Marco Ramoni, 2007, Pacific Symposium on Biocomputing.

Linking Protein Mass with Function via Organismal Massome Networks

Gil Alterovitz, Eugenia Lyashenko, Marco Ramoni, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Medical Decision Making Using Ignorant Influence Diagrams

Vimla L. Patel, Alberto Riva, Mario Stefanelli, 1995, AIME.

Belief Maintenance in Bayesian Networks pdf

Alberto Riva, Marco Ramoni, M. Ramoni, 1994, UAI.

Is the reduction of dimensionality to a small number of features always necessary in constructing predictive models for analysis of complex diseases or behaviours?

Gil Alterovitz, Amin Zollanvari, Laura J. Bierut, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Transcriptional network classifiers

Marco Ramoni, Hsun-Hsien Chang, M. Ramoni, 2009, BMC Bioinformatics.

Automated programming for bioinformatics algorithm deployment

Gil Alterovitz, Marco Ramoni, Adnaan Jiwaji, 2008, Bioinform..

Model folding for data subject to nonresponse

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1999, AISTATS.

The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1997, IDA.

Learning conditional probabilities from incomplete databases - An experimental comparison

Paola Sebastiani, Marco Ramoni, P. Sebastiani, 1999, AISTATS.

An ignorant belief network to forecast glucose concentration from clinical databases

Vimla L. Patel, Alberto Riva, Mario Stefanelli, 1995, Artif. Intell. Medicine.

Bayesian Networks

Paola Sebastiani, María M. Abad-Grau, Marco Ramoni, 2005, Data Mining and Knowledge Discovery Handbook.

Transcriptional network predicts viral set point during acute HIV-1 infection

Marco Ramoni, Hsun-Hsien Chang, Norman L. Letvin, 2012, J. Am. Medical Informatics Assoc..

Mapping transcription mechanisms from multimodal genomic data

Gil Alterovitz, Marco Ramoni, Hsun-Hsien Chang, 2010, BMC Bioinformatics.

Profiling your customers using Bayesian networks

Paola Sebastiani, Marco Ramoni, Alexander Crea, 2000, SKDD.

The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms

Gil Alterovitz, Marco Ramoni, Taro Muso, 2010, Briefings Bioinform..

Inferring cell cycle feedback regulation from gene expression data

Riccardo Bellazzi, Isaac S. Kohane, Marco Ramoni, 2011, J. Biomed. Informatics.

Bioinformatics and Proteomics: An Engineering Problem Solving-Based Approach

Gil Alterovitz, Marco Ramoni, 2007, IEEE Transactions on Education.

Sequence Learning via Bayesian Clustering by Dynamics

Paul R. Cohen, Paola Sebastiani, Marco Ramoni, 2001, Sequence Learning.

The effect of advance rate on shield loading in squeezing ground

Marco Ramoni, M. Ramoni, G. Anagnostou, 2007 .

Urban tunnelling in soft ground using TBMs

Marco Ramoni, Kalman Kovári, 2006 .

Cognitive models of directional inference in expert medical reasoning

Vimla L. Patel, Marco Ramoni, V. Patel, 1997 .

TBM drives in squeezing ground: Shield-rock interaction

Marco Ramoni, Georg Anagnostou, 2008 .

Face Stability Assessment for the Lake Mead Intake No 3 Tunnel

Marco Ramoni, Linard Cantieni, M. Ramoni, 2010 .

LEARNING FOR PROTEOMICS

Gil Alterovitz, Marco Ramoni, Ehsan Afkhami, 2005 .

Numerical Analysis of the Development of Squeezing Pressure During TBM Standstills

Georgios Anagnostou, Marco Ramoni, M. Ramoni, 2007 .