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Logo Ateneo
   
Giordani Ilaria
Ilaria Giordani

Ciclo: XXII

Indirizzo Mail: ilaria.giordani <AT> disco <DOT> unimib <DOT> it

Telefono:  02 64487918

Stanza: 1002

Titolo ricerca: Relational Clustering for Knowledge Discovery in Life Sciences

 

 

Ilaria Giordani received the Master Degree in Computer Science (2006) at the University of Milano-Bicocca, with the thesis:“Structural analysis for web page classification”.

She received her PhD at the University of Milano-Bicocca, with a thesis on “Relational Clustering For Knowledge discovery in Life Sciences”. Her research focus on machine learning, in particular on relational clustering and genetic programming, applied in Bioinformatic and computational biology’s domain.

More information at my personal page of  MIND (Models in decision making and data @nalysis ) group.

 

 PUBBLICATIONS

Journal Papers

[A1] F. Archetti, I.Giordani, L. Vanneschi, “Genetic Programming for Anticancer Therapeutic Response Prediction using the NCI-60 Dataset”, Computers & Operations Research, Vol. 37, No. 8, Operations Research and Data Mining in Biological Systems, August 2010, Pages 1395-1405, ISSN 0305-0548, DOI: 10.1016/j.cor.2009.02.015.

[A2] F. Archetti, I.Giordani, L. Vanneschi, “Genetic Programming for QSAR Investigation”, Applied Soft Computing, Volume 10, Issue 1, January 2010, pp. 170-182, ISSN 1568-4946, DOI: 10.1016/j.asoc.2009.06.013.

[A3] L. Vanneschi, F. Archetti, M. Castelli, and I. Giordani, “Classification of Oncologic Data with Genetic Programming,” Journal of Artificial Evolution and Applications, vol. 2009, Article ID 848532, 13 pages, 2009. doi:10.1155/2009/848532 (in press)

 
International Conference Proceedings (and Book Chapters)

[C1] I. Giordani, L. Vanneschi, E. Fersini. “Modelling the Relationship between the Microarray Data of the NCI-60 Anticancer Dataset with Therapeutic Responses by Genetic Programming”. SysBioHealth Symposium (ISBN: 978-88-903154-0-4), 2007.

[C2] Archetti F., Giordani I., Mauri G., Messina E., A new clustering approach for learning transcriptional regulatory networks, Proceedings of BITS 2009, Sixth Annual Meeting Bioinformatic Italian Society, 18-20 March 2009 Genoa, Italy, ISBN 978-88-7388-255-1, pages:  76-77, 2009

[C3] E. Fersini, I. Giordani, E. Messina, F. Archetti, "Relational clustering and Bayesian networks for linking gene expression profiles and drug activity patterns," Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on , pp.20-25, 1-4 Nov. 2009

[C4] Archetti, F.; Giordani, I.; Messina, E.; Ogliari, G.; Mari, D., "A comparison of data mining approaches in the categorization of oral anticoagulation patients," Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on , pp.8-13, 1-4 Nov. 2009

[C5] F. Archetti, I. Giordani, D. Mari, E. Messina, G. Ogliari, “Use of pharmacogenetics and clinical factors to analyze the dynamic of warfarin based anticoagulation treatment”, Sysbiohealth Symposium, Milano, November 2009


National Conference Proceedings
[N1]  F. Archetti, P. Fantucci, I. Giordani, L. Vanneschi. “Docking Energy Assessment by Multi-Criteria Genetic Programming”. AIRO 2007,Proceedings of XXXVIII Annual Conference of the Italian Operations Research Society, September, 2007
[N2]  F. Archetti, M. Castelli, I. Giordani, L. Vanneschi. “Classification of colon tumor tissues using genetic programming” Proceedings of the Annual Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2008), September, 2008
[N3]  F.Archetti, I.Giordani, G.Mauri, E.Messina. “Learning gene’s transcriptional regulatory networks”. AIRO 2008, Proceedings of the XXXIX Annual Conference of the Italian Operations Research Society, September, 2008
[N4]  F. Archetti, E. Fersini, I.Giordani, G.Mauri, E.Messina, “Relational clustering in the inference of genetic regulatory networks”. Mini EURO Conference on Computational Biology, Bioinformatics and Medicine, September, 2008
 
Technical Reports
[R1] E. Fersini, I. Giordani, E. Messina, F. Archetti. “Web Page Classification using Semantic Image-Blocks”. Report n.2, 2007.

 

 

Ø[Archetti et al., 2009] F. Archetti, I.Giordani, L. Vanneschi, “Genetic Programming for Anticancer Therapeutic Response Prediction using the NCI-60 Dataset”, Computers & Operations Research, doi:10.1016/j.cor.2009.02.015 ( in press)
Ø[Archetti et al., 2009a] F. Archetti, I.Giordani, L. Vanneschi, Genetic Programming for QSAR Investigation”, issn:"1568-4946”, DOI: 10.1016/j.asoc.2009.06.013” (in press)
Ø[Vanneschi et al., 2009]L. Vanneschi, F. Archetti, M. Castelli, and I. Giordani, “Classification of Oncologic Data with Genetic Programming,” Journal of Artificial Evolution and Applications, vol. 2009, Article ID 848532, 13 pages, 2009. doi:10.1155/2009/848532 (in press)
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