Marco Ramoni

Paola Sebastiani, Marco Ramoni: Decision Theoretic Foundations of Graphical Model Selection. CoRR abs/1301.7410 (2013)

Marco Ramoni, Paola Sebastiani: Learning Bayesian Networks from Incomplete Databases. CoRR abs/1302.1565 (2013)

Marco Ramoni, Alberto Riva: Belief Maintenance in Bayesian Networks. CoRR abs/1302.6841 (2013)

Hsun-Hsien Chang, Kelly Soderberg, Jason A. Skinner, Jacques Banchereau, Damien Chaussabel, Barton F. Haynes, Marco Ramoni, Norman L. Letvin: Transcriptional network predicts viral set point during acute HIV-1 infection. JAMIA 19(6): 1103-1109 (2012)

Fulvia Ferrazzi, Felix B. Engel, Erxi Wu, Annie P. Moseman, Isaac S. Kohane, Riccardo Bellazzi, Marco Ramoni: Inferring cell cycle feedback regulation from gene expression data. Journal of Biomedical Informatics 44(4): 565-575 (2011)

Hsun-Hsien Chang, Marco Ramoni: Inferring Nonstationary Gene Networks from Longitudinal Gene Expression Microarrays. Signal Processing Systems 65(2): 261-273 (2011)

Gil Alterovitz, Silvio Cavalcanti, Taro Muso, Marco Ramoni, May Wang: Session Introduction. Pacific Symposium on Biocomputing 2011: 300-301

Gil Alterovitz, Taro Muso, Marco Ramoni: The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms. Briefings in Bioinformatics 11(1): 80-95 (2010)

Hsun-Hsien Chang, Michael McGeachie, Gil Alterovitz, Marco Ramoni: Mapping transcription mechanisms from multimodal genomic data. BMC Bioinformatics 11(S-9): S2 (2010)

Olgica Milenkovic, Gil Alterovitz, Gerard Battail, Todd P. Coleman, Joachim Hagenauer, Sean P. Meyn, Nathan D. Price, Marco Ramoni, Ilya Shmulevich, Wojciech Szpankowski: Introduction to the special issue on information theory in molecular biology and neuroscience. IEEE Transactions on Information Theory 56(2): 649-652 (2010)

Gil Alterovitz, Silvio Cavalcanti, Taro Muso, Marco Ramoni, May Wang: Session Introduction. Pacific Symposium on Biocomputing 2010: 383-384

Paola Sebastiani, María M. Abad-Grau, Marco Ramoni: Bayesian Networks. Data Mining and Knowledge Discovery Handbook 2010: 175-208

Atul J. Butte, Indra Neil Sarkar, Marco Ramoni, Yves A. Lussier, Olga G. Troyanskaya: Selected proceedings of the First Summit on Translational Bioinformatics 2008. BMC Bioinformatics 10(S-2) (2009)

Hsun-Hsien Chang, Marco Ramoni: Transcriptional network classifiers. BMC Bioinformatics 10(S-9): 1 (2009)

Blanca E. Himes, Yi Dai, Isaac S. Kohane, Scott T. Weiss, Marco Ramoni: Research Paper: Prediction of Chronic Obstructive Pulmonary Disease (COPD) in Asthma Patients Using Electronic Medical Records. JAMIA 16(3): 371-379 (2009)

Sangeeta B. English, Shou-Ching Shih, Marco Ramoni, Lois E. Smith, Atul J. Butte: Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR. Journal of Biomedical Informatics 42(2): 287-295 (2009)

Hsun-Hsien Chang, Marco Ramoni: Robust cross-race gene expression analysis. ICASSP 2009: 505-508

Gil Alterovitz, Judith A. Blake, Jonathan M. Dreyfuss, Drew Endy, Marco Ramoni: Session Introduction. Pacific Symposium on Biocomputing 2009: 1-3

Marco Ramoni, Paola Sebastiani: Learning Bayesian Networks. Encyclopedia of Data Warehousing and Mining 2009: 1124-1128

Gil Alterovitz, Adnaan Jiwaji, Marco Ramoni: Automated programming for bioinformatics algorithm deployment. Bioinformatics 24(3): 450-451 (2008)

Gil Alterovitz, Michael Xiang, Jonathan Liu, Amelia Chang, Marco Ramoni: System-Wide Peripheral Biomarker Discovery Using Information Theory. Pacific Symposium on Biocomputing 2008: 231-242

Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, Riccardo Bellazzi: Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks. BMC Bioinformatics 8(S-5) (2007)

Gil Alterovitz, Michael Xiang, Mamta Mohan, Marco Ramoni: GO PaD: the Gene Ontology Partition Database. Nucleic Acids Research 35(Database-Issue): 322-327 (2007)

Gil Alterovitz, Eugenia Lyashenko, Michael Xiang, Marco Ramoni: Linking Protein Mass with Function via Organismal Massome Networks. BIBE 2007: 59-65

Gil Alterovitz, Taro Muso, Paresh Malalur, Marco Ramoni: A Systematic Approach to Quantifying Evolutionary Functional Trends Across the Universal Tree of Life. BIBE 2007: 374-378

Marco Ramoni: Statistical Mechanics of Biological Networks. UAI 2007: 482-483

Fulvia Ferrazzi, Paola Sebastiani, Isaac S. Kohane, Marco Ramoni, Riccardo Bellazzi: Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data. CBMS 2006: 544-549

Ling Wang, Marco Ramoni, Paola Sebastiani: Clustering Short Gene Expression Profiles. RECOMB 2006: 60-68

Ling Wang, Marco Ramoni, Kenneth D. Mandl, Paola Sebastiani: Factors affecting automated syndromic surveillance. Artificial Intelligence in Medicine 34(3): 269-278 (2005)

Paola Sebastiani, María M. Abad-Grau, Marco Ramoni: Bayesian Networks. The Data Mining and Knowledge Discovery Handbook 2005: 193-230

Paola Sebastiani, Isaac S. Kohane, Marco Ramoni: Editorial: Methods in Functional Genomics. Machine Learning 52(1-2): 5-9 (2003)

Marco Ramoni, Paola Sebastiani, Paul R. Cohen: Bayesian Clustering by Dynamics. Machine Learning 47(1): 91-121 (2002)

Marco Ramoni, Paola Sebastiani: Robust Bayes classifiers. Artif. Intell. 125(1-2): 209-226 (2001)

Marco Ramoni, Paola Sebastiani: Robust Learning with Missing Data. Machine Learning 45(2): 147-170 (2001)

Paola Sebastiani, Marco Ramoni: Clustering Continuous Time Series. ICML 2001: 497-504

Paola Sebastiani, Marco Ramoni, Paul R. Cohen: Sequence Learning via Bayesian Clustering by Dynamics. Sequence Learning 2001: 11-34

Paola Sebastiani, Marco Ramoni, Alexander Crea: Profiling your Customers using Bayesian Networks. SIGKDD Explorations 1(2): 91-96 (2000)

Marco Ramoni, Paola Sebastiani, Paul R. Cohen: Multivariate Clustering by Dynamics. AAAI/IAAI 2000: 633-638

Marco Ramoni, Paola Sebastiani, Paul R. Cohen: Unsupervised clustering of robot activities: a Bayesian approach. Agents 2000: 134-135

Paola Sebastiani, Marco Ramoni, Paul R. Cohen, John Warwick, James Davis: Discovering Dynamics Using Bayesian Clustering. IDA 1999: 199-210

Marco Ramoni, Paola Sebastiani: Parameter Estimation in Bayesian Networks from Incomplete Databases. Intell. Data Anal. 2(1-4): 139-160 (1998)

Paola Sebastiani, Marco Ramoni: Decision Theoretic Foundations of Graphical Model Selection. UAI 1998: 464-471

Marco Ramoni, Paola Sebastiani: The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases. IDA 1997: 537-548

Marco Ramoni, Paola Sebastiani: Learning Bayesian Networks from Incomplete Databases. UAI 1997: 401-408

Alberto Riva, Marco Ramoni: LispWeb: A Specialized HTTP Server for Distributed AI Applications. Computer Networks 28(7-11): 953-961 (1996)

Marco Ramoni, Alberto Riva, Mario Stefanelli, Vimla L. Patel: An ignorant belief network to forecast glucose concentration from clinical databases. Artificial Intelligence in Medicine 7(6): 541-559 (1995)

Marco Ramoni, Alberto Riva, Mario Stefanelli, Vimla L. Patel: Medical Decision Making Using Ignorant Influence Diagrams. AIME 1995: 139-150

Marco Ramoni: Ignorant Influence Diagrams. IJCAI 1995: 1869-1877

Marco Ramoni, Alberto Riva: Belief Maintenance in Bayesian Networks. UAI 1994: 498-505

Marco Ramoni, Mario Stefanelli, Lorenzo Magnani, Giovanni Barosi: An epistemological framework for medical knowledge-based systems. IEEE Transactions on Systems, Man, and Cybernetics 22(6): 1361-1375 (1992)