Micheli Alessio - Publications

Publications - Alessio Micheli

Warning: Sorry, the list does NOT contain new papers and upgrades for 2006-2011 yet.
Please, contact: micheli@di.unipi.it or see my List of Publications on the University of Pisa web-site

This is the old page up to 2009:

Journals Articles and Book Chapters [up 2005 or selected after 2006, see Unimap for recent publications after 2006 and the new publications for years 2008-2011]

Selected recent (only up 2009) papers:

A. Micheli.
Neural Network for Graphs: A Contextual Constructive Approach.
IEEE Transactions on Neural Networks. Vol. 20, n. 3, Pages 498 - 511, March 2009. ISSN 1045-9227.

L. Nicotra, A. Micheli
Modeling Adaptive Kernels from Probabilistic Phylogenetic Trees.
Artificial Intelligence in Medicine (Journal). Vol. 45 (Issues 2-3),
Special Issue on Computational Intelligence and Machine Learning in Bioinformatics, (2009) Elsevier. ISSN 0933-3657.

F. Masulli, A. Micheli, A .Sperduti
BOOK: COMPUTATIONAL INTELLIGENCE AND BIOENGINEERING, Essays in Memory of Antonina Starita
Series: Frontiers in Artificial Intelligence and Applications - Knowledge-Based Intelligent Engineering Systems. .
Vol. 196, IOS Press , Netherlands (c) 2009. ISBN 978-1-60750-010-0 .

C. Bertinetto, C. Duce, A. Micheli, R. Solaro, A. Starita, M.R. Tine'
Evaluation of Hierarchical Structured Representations for QSPR Studies of Small Molecules and Polymers by Recursive Neural Networks.
Journal of Molecular Graphics and Modelling.. Vol. 27, n. 7, Pages 797-802, April 2009, (Impact Factor: 1.932) Elsevier. ISSN 1093-3263.

A. Micheli, A. Sperduti, A. Starita.
An Introduction to Recursive Neural Networks and Kernel Methods for Cheminformatics.
Curr. Pharm. Des.. Vol. 13, n. 14, Pages 1469-1495, 2007.
Special issue on "Ground-Breaking Mathematical Models for Basic and Applied Research", Executive Editors: A.O. Vassilev, H.E. Tibbles.
Bentham Science Publishers (Impact Factor: 5.270). ISSN 1381-6128.

B. Hammer, A. Micheli, A. Sperduti.
Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties.
CiB: "Perspectives of Neural-Symbolic Integration", pp. 67-94. Editors: B. Hammer, P. Hitzler, Series Ed.: J. Kacprzyk,
Springer series: "Studies in Computational Intelligence", Volume 77, November 2007, Springer Verlag (Berlin / Heidelberg).
ISSN 1860-949X. ISBN 978-3-540-73953-1

Selected [up 2005 or selected, see here for recent publications]

B. Hammer, A. Micheli, A. Sperduti.
Universal Approximation Capability of Cascade Correlation for Structures.
Neural Computation. Vol. 17, No. 5, Pages 1109-1159, (C) 2005 MIT press. ISSN 0899-7667.

F. Baronti, A. Micheli, A. Passaro, A. Starita.
Machine Learning Contribution to Solve Prognosis Medical Problems.
CiB: "Outcome Prediction in Cancer", pp. 261-283. Editors: A.F.G. Taktak and A.C. Fisher,
Imprint: Elsevier Science. Publication Date: November 2006. ISBN 0-444-52855-5.

A. Micheli, F. Portera, A. Sperduti.
A Preliminary Empirical Comparison of Recursive Neural Networks and Tree Kernel Methods on Regression Tasks for Tree Structured Domains.
Neurocomputing. Volume 64, March 2005, Pages 73-92. Web Release Date: January 2005, (c) 2005 Elsevier B.V

B. Hammer, A. Micheli, A. Sperduti, M. Strickert.
Recursive Self-organizing Network Models.
Neural Networks, Elsevier Science. Volume 17, Issues 8-9 , October-November 2004, Pages 1061-1085

A. Micheli, D. Sona, A. Sperduti,
Contextual Processing of Structured Data by Recursive Cascade Correlation.
IEEE Transactions on Neural Networks. Vol. 15, n. 6, Pages 1396- 1410, November 2004.

B. Hammer, A. Micheli, M. Strickert, A. Sperduti.
A General Framework for Unsupervised Processing of Structured Data,
Neurocomputing (Elsevier) Volume 57, Pages 3-35, March 2004.

A. Micheli, A. Sperduti, A. Starita, A.M. Bianucci.
A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures,
Chapter in Book : "Soft Computing Approaches in Chemistry", pp. 265-296, H. Cartwright, L. M. Sztandera, Eds., Springer-Verlag, Heidelberg, March 2003. ISBN 3-540-00245-6.

A. Micheli, A. Sperduti, A. Starita, A.M. Bianucci.
Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines,
Journal of Chemical Information and Computer Sciences (ACS Publications) , Vol. 41(1): 202-218, January 2001. Web Release Date: November 10, 2000.

A.M. Bianucci, A. Micheli, A. Sperduti, A. Starita.
Application of Cascade Correlation Networks for Structures to Chemistry,
Applied Intelligence Journal (Kluwer Academic Publishers), Special Issue on "Neural Networks and Structured Knowledge" Vol. 12 (1/2): 117-146, 2000.

Selected recent Cheminformatics papers:

L. Bernazzani, C. Duce, A. Micheli, V. Mollica, A. Sperduti, A. Starita, M. R. Tine'
Predicting Physical Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks.,
Journal of Chemical Information and Modeling (formerly Journal of Chemical Information and Computer Sciences),
ACS Publications, Washington, DC. Vol. 46(5): 2030 - 2042, September 2006. (ISI Impact Factor 3.423) ISSN: 1549-9596.

C. Duce, A. Micheli, A. Starita, M.R. Tine', R. Solaro.
Prediction of Polymer Properties from their Structure by Recursive Neural Networks.
Macromolecular Rapid Communications (Journal), Vol. 27(9): 711-715, May 2006. Wiley-VCH Verlag, Weinheim, Germany. (ISI Impact Factor 3.366). Online ISSN: 1521-3927, Print ISSN: 1022-1336.

C. Bertinetto, C. Duce, A. Micheli, R. Solaro, A. Starita, M. R. Tine'.
Prediction of the Glass Transition Temperature of (Meth)Acrylic Polymers Containing Phenyl Groups by Recursive Neural Network.,
Polymer (Journal), Vol. 48, Issue 24, Pages 7121-7129, 16 November 2007, Elsevier Ltd (Amsterdam, The Netherlands) (Impact factor 2.773). ISSN: 0032-3861

R. Bini, C. Chiappe, C. Duce, A. Micheli, R. Solaro, A. Starita, M. R. Tine'.
Ionic Liquids: Prediction of their Melting Points by a Recursive Neural Network Model.
Green Chemistry (Journal), RSC Publishing (impact factor 4.192). Vol. 10 Pages 306-309, 2008. ISSN 1463-9262

C. Duce, A. Micheli, R. Solaro, A. Starita, M. R. Tine'.
Recursive neural networks prediction of glass transition temperature from monomer structure. An application to acrylic and methacrylic polymers.
Journal of Mathematical Chemistry. Vol. 46, n. 3, Pages 729-755, 2009. Springer (Impact Factor: 1.435). ISSN 0259-9791.

PhD Thesis

A. Micheli, Recursive Processing of Structured Domains in Machine Learning.
PhD Thesis, Department of Computer Science, University of Pisa, TD-13/03 , December 2003. Servizio Editoriale Universitario di Pisa.

(Not) Recent Proceedings Articles (Selected)

A. Micheli, A. Sperduti.
Recursive Principal Component Analysis of Graphs,
Proceedings of ICANN 07 - International Conference on Artificial Neural Networks, 9-13 September 2007, Porto, Portugal.
LNCS- Lecture Notes in Computer Science, Vol. 4669/2007, pp. 826-835, Springer Berlin / Heidelberg 2007. ISBN 978-3-540-74693-5.

L. Nicotra, A. Micheli, S. Starita.
Generative Kernels for Gene Function Prediction through Probabilistic Tree Models of Evolution,
CIBB 2007 - Fourth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Portofino Vetta, Ruta di Camogli (Genova), Italy, July 7-10, 2007. In Book: Applications of Fuzzy Sets Theory. Proceedings of 7th International Workshop on Fuzzy Logic and Applications, WILF 2007. Editors F. Masulli, S. Mitra, G. Pasi.
LNCS - Lecture Notes in Computer Science , Vol. 4578/2007, pp. 512-519, Springer Berlin / Heidelberg 2007. ISSN 0302-9743. ISBN 978-3-540-73399-7.

D. Bacciu, A. Micheli, A. Starita.
Simultaneous clustering and feature ranking by competitive repetition suppression learning with application to gene data analysis,
Proceedings of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2007), 25-27 July 2007, University of Plymouth, Plymouth, U.K.

A. Micheli, A.S. Sestito.
Dealing with Graphs by Neural Networks,
ECML 2005 - 16th European Conference on Machine Learning (ECML) the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 3-7 October 2005 - Porto, Portugal. Proceedings of the Workshop on "Sub-symbolic paradigms for learning in structured domains" Editors M. Gori, P. Avesani. pp 66-75.

C. Duce, A. Micheli, R. Solaro, A. Starita, M.R. Tinè.
Recursive Neural Networks for Quantitative Structure-Property Relationship Analysis of Polymers,,
Selected papers from the International Conference of Computational Methods in Sciences and Engineering - ICCMSE 2005, Loutraki, Korinthos, Greece 21-26 October 2005,
published in Lecture Series on Computer and Computational Sciences (LSCCS) , Volume 4, 2005, pp. 1546-1549. Editors: T. Simos, G. Maroulis. Brill Academic Publishers, Leiden, The Netherlands. ISBN 90-6764-444-7.

A. Micheli, A.S. Sestito.
A New Neural Network Model for Contextual Processing of Graphs,,
WIRN `05 - XVI Italian Workshop On Neural Network IIASS "Eduardo R. Caianiello", Vietri sul Mare (SA) ITALIA, June 8-11, 2005.
LNCS (Lecture Notes in Computer Science - Springer-Verlag) , Vol. 3931, pp. 10-17. Mar 2006.

F. Baronti, V.Maggini, A. Micheli, A. Passaro, A.M. Rossi, A. Starita.
A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS,
CIBB 2004 - International Meeting On Computational Intelligence Methods For Bioinformatics And Biostatistics. Special session of WIRN 04 - XV Italian Workshop On Neural Networks. September 14-15, 2004, Perugia, ITALY. Atti della Conferenza Italiana sui Sistemi Intelligenti 2004, Perugia 14-17 September 2004, p. 102 A. Milani,ed., 2004 Morlacchi Editore, Perugia. ISBN 88-89422-09-2. To appear in Proceedings of WIRN 04, B. Apolloni, M. Marinaro, R. Tagliaferri Ed.s, Springer Verlag 2004.

C. Duce, R. Solaro, M.R. Tinè, A. Micheli, A. Sperduti, A. Starita.
Recursive Neural Networks Prediction of Polymer Glass Transition Temperature from Monomer Structure. An Application to Acrylic and Methacrylic Polymers,,
13th International Congress on Thermal Analysis and Calorimetry ICTAC 2004 Chia Laguna, Italia, September 12-19 2004, p. 52, Grafiche Sainas, September 2004.

L. Bernazzani, C. Duce, V. Mollica, M.R. Tinè, A. Micheli, A. Sperduti, A. Starita.
Recursive Neural Networks Prediction of Thermodynamic Properties from Molecular Structures. Application to Mono- and Poly-functional Linear Molecules,,
13th International Congress on Thermal Analysis and Calorimetry ICTAC 2004 Chia Laguna, Italia, September 12-19 2004, p.96, Grafiche Sainas, September 2004.

L. Nicotra, A. Micheli, A. Starita,
Fisher Kernel for Tree Structured Data,
Proceedings of IJCNN'2004 International Joint Conference on Neural Networks - Budapest, July 2004. (c) IEEE, Vol.3, pp. 1917-1922.

A. Micheli, F. Portera, A. Sperduti,
A Preliminary Experimental Comparison of Recursive Neural Networks and a Tree Kernel Method for QSAR/QSPR Regression Tasks,
ESANN'2004, 12th European Symposium on Artificial Neural Networks - Bruges (Belgium) 28-30 April 2004. Proceedings of ESANN'2004, pp. 293-298. D-side. ISBN 2-930307-04-8.

V. Maggini, A. Abbondandolo, R. Barale, F. Baronti, S. Bonatti, F. Canzian, G. Casartelli, L. Guidi, G. Margarino, P. Mereu, A. Micheli, A. Passaro, A.M. Rossi, A. Starita.
Computational Intelligence Methods for Data Analysis: A Case-control Study on Genetic Susceptibility in Squamous Cell Carcinoma of the Head and Neck (HNSCC), ,
46th Annual Meeting of the Italian Cancer Society, Pisa, 24-27 October 2004. Tumori, a Journal of Experimental and Clinical Oncology, I Supplementi, Vol. 4(2), p.72 March/April 2005 Il pensiero Scientifico Editore ISSN: 0300-8916

Proceedings Articles Before 2004

A.M. Bianucci, A. Micheli, A. Sperduti, A. Starita.
Quantitative Structure-Activity Relationships of Benzodiazepines by Recursive Cascade Correlation,
IEEE Proceedings of IJCNN'98- IEEE World Congress on Computational Intelligence, pp. 117-122, Anchorage, Alaska, May 1998.

A. Micheli, D. Sona, A. Sperduti.
Bi-causal Recurrent Cascade Correlation,
IJCNN'2000 - Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IEEE Computer Society Press), Volume: 3, 2000, pp. 3-8

M. Hagenbuchner, A. Micheli, A. C. Tsoi.
Building MLP Networks by Construction,
IJCNN'2000 - Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IEEE Computer Society Press), Volume: 4, 2000, pp. 549-554

A. Micheli, A. Sperduti, A. Starita, A.M. Bianucci.
Design of New Biologically Active Molecules by Recursive Neural Networks,
IJCNN'2001 - Proceedings of the INNS-IEEE International Joint Conference on Neural Networks, Vol. 4, pp 2732--2737, Washington, DC; July 2001. ISBN 07803-7044-9.

A. Micheli, D. Sona, A. Sperduti.
Recursive Cascade Correlation for Contextual Processing of Structured Data,
WCCI / IJCNN'2002 - Proceedings of the World Congress on Computational Intelligence / INNS-IEEE International Joint Conference on Neural Networks, pp. 268-273, 2002.

B. Hammer, A. Micheli, A. Sperduti.
A General Framework for Unsupervised Processing of Structured Data,
Proceedings of ESANN'2002, 10th European Symposium on Artificial Neural Networks, pp. 389-394. M. Verleysen, editor. April 2002.

L. Bernazzani, C. Duce, V. Mollica, M. R. Tinè, A. Micheli, A. Sperduti, A. Starita.
Predicting thermodynamic properties from molecular structures by recursive neural networks,
International Workshop on "Advanced Frontiers in Polymer Science", September 2002.

A. Micheli and D. Sona and A. Sperduti .
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks,
ICANN/ICONIP 2003 International Conference on Artificial Neural Networks/International Conference on Neural Information Processing, O. Kaynak and E. Alpaydin and E. Oja and L. Xu, editors. LNCS (Lecture Notes in Computer Science - Springer-Verlag), Vol. 2714, pp. 173-180. June 2003.

A. Micheli, F. Portera, A. Sperduti.
QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration.
Workshop on Bioinformatics and Biostatistics. Neural Nets, 14th WIRN Vietri 2003, LNCS (Lecture Notes in Computer Science - Springer-Verlag) , Vol. 2859 . Apolloni, B.; Marinaro, M.; Tagliaferri, R. (Eds.)

L. Bernazzani, C. Duce, V. Mollica, M.R. Tinè, A. Micheli, A. Sperduti, A. Starita,
Predicting thermodynamic properties from molecular structures by recursive neural networks. An extension to polyfunctional compounds.
XVI Convegno Italiano di scienza e tecnologia delle macromolecole, vol. 1, pp. 97-98, AIM, Pisa 2003.

Reports, Thesis, Works in Progress and Others

A. Micheli, Recursive Neural Networks for Processing of Chemical Structures.
Tesi di laurea (Degree Thesis), July 1998.

M. Hagenbuchner, A. Micheli, A. C. Tsoi. Performance Comparison between Multilayer Perceptrons and Cascade Correlation, as Application to Adaptive Processing of Data Structures, Technical report (1999).

M. Hagenbuchner, A. Micheli, A. C. Tsoi. Tree Structured Networks, Technical report (2000).

A. Micheli. QSAR and Drug Design by Neural Network for Structures,
Lecture Notes of "Artificial Intelligence and Heuristic Methods in Bioinformatics", A NATO Advanced Studies Institute, pp. 47--48, San Miniato, Italy, October 1-11, 2001.

B. Hammer, A. Micheli, A. Sperduti. A General Framework for Self-Organizing Structure Processing Neural Networks,
Università di Pisa, Dipartimento di Informatica, February 2003. TR-03-04.

A. Micheli, D. Sona, A. Sperduti. A Note on Formal Determination of Context in Contextual Recursive Cascade Correlation Networks,
Università di Pisa, Dipartimento di Informatica, January 2004. TR-04-04.

B. Hammer, P. Tino, A. Micheli, A Mathematical Characterization of the Architectural Bias of Recursive Models
Osnabrücker Schriften zur Mathematik, University of Osnabrück, Preprint no. 252 , 2004

D. Bacciu, A. Micheli, A. Starita. Feature-wise competitive repetition suppression learning for gene data clustering and feature ranking,
Technical Report TR-07-04 , Dipartimento di Informatica, University of Pisa, February 2007.

L. Nicotra, A. Micheli, A. Starita. A Comparative Study of Tree Generative Kernels for Gene Function Prediction,
Technical Report TR-07-15, Dipartimento di Informatica, University of Pisa, February 2007.

Alessio Micheli (Updated: May 2005)

E-mail: micheli@di.unipi.it
WWW: Home page.