Pagina Docenti

Lista Pubblicazioni: STAIANO Antonino

WORK IN PROGRESS

F. Camastra, A. Ciaramella, A. Staiano, Comment on Increased mortality is predicted of Inachis io larvae caused by Bt-maize pollen in European farmland, Ecologica Modelling, 2013, http://arxiv.org/abs/1308.6243
ENCYCLOPEDIAS AND HANDBOOKS

A. Staiano, L. De Vinco, G. Longo, R. Tagliaferri, Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces: application to astronomy and genetics, Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, J. Wang Ed., IGI, pp. 2067-2087, 2008
A. Staiano, L. De Vinco, G. Longo, R. Tagliaferri, Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces: application to astronomy and genetics, Mathematical Methods for Knowledge Discovery and Data Mining, G. Felici and C. Vercellis Eds., IGI Publishing, pp. 244-264, 2008.
JOURNALS

F. Camastra, A. Ciaramella, A. Staiano, A note on some mathematical models on the effects of Bt-maize exposure, to appear on Environmental and Ecological Statistics, Springer, ISSN: 1352-8505
F. Camastra, A. Ciaramella, A. Staiano, Machine Learning and Soft Computing for ICT Security: an Overview of Current Trends, Journal of Ambient Intelligence and Humanized Computing, Springer, Vol. 4, Issue 2, pp. 235-247, 2013.
G. Calcagno, A. Staiano, G. Fortunato, V. Brescia-Morra, E. SAlvatore, R. Liguori, S. Capone, A. Filla, G. Longo, L. Sacchetti, A multilayer perceptron neural network-based approach for the identification of responsiveness of interferon therapy in multiple sclerosis patients, Information Sciences, Vol. 180, Issue 21, pp. 4153-4163, 2010
A. Petrosino, A. Staiano, Fuzzy Modelingfor Data Cleaning in Sensor Networks, International Jourmal of Hybrid Intelligent Systems, IOS Press, Vol. 5, N. 3, pp. 143-151, 2008
F. Napolitano, G. Raiconi, R. Tagliaferri, A. Ciaramella, A. Staiano, G. Miele, Clustering and Visualization Approaches for Human Cell Cycle Gene Expression Analysis, International Journal of Approximate Reasoning, Vol. 47, Issue 1, pp. 70-84, 2008. R. D'Abrusco, A. Staiano, G. Longo, E. De Filippis, M. Brescia, M. Paolillo, Mining the SDSS archive. I. Photometric redshift in the nearby universe, ApJ, 663, 752, 2007.
R. D'Abrusco, A. Staiano, G. Longo, E. De Filippis, M. Brescia, M. Paolillo, Steps towards a map of the nearby universe, Nuclear Physics B - Proceedings Supplements, Volume 168, June 2007, Pages 299-301 ( Proceedings of the Neutrino Oscillation Workshop)
A. Staiano, R. Tagliaferri, W. Pedrycz, Improving RBF Networks Performance in Regression Tasks by Means of a Supervised Fuzzy Clustering, Neurocomputing, Vol. 69, Issues 13-15, pp. 1570-1581, 2006.
A. Staiano, R. Amato, A. Ciaramella, R. Tagliaferri et al., A multi-step approach to time series analysis and gene expression clustering, Bioinformatics Vol. 22, N. 5, pp. 589-596, 2006.
A. Staiano, R. Tagliaferri, G. Longo et al., Novel Techniques for Microarray Data Analysis: Probabilistic Principal Surfaces and Competitive Evolution on Data, Journal of Computational and Theoretical Nanoscience, Special Issue on Computational Intelligence for Molecular Biology and Bioinformatics, Volume 2, N. 4, pp. 514-523, 2005.
R. Tagliaferri R., G. Longo, A. Staiano et al., Applications of Neural Networks in Astronomy and Astroparticle Physics, invited review in "Recent Research Developments in Astronomy and Astrophysics", 2 (2005), pp.27-58, by Research Signpost. R. Tagliaferri R., G. Longo, A. Staiano A. et al., Neural Networks in Astronomy, in Neural Networks. Special Issue su Neural networks for analysis of complex scientific data: Astronomy and Geosciences, R. Tagliaferri, G. Longo, D'Argenio B. (Eds.), vol. 16 (3- 4), 2003.
A. Di Nola, V. Loia, A. Staiano, An Evolutionary Approach to Spatial Fuzzy Clustering, Fuzzy Optimization and Decision Making, 1, 195-219, 2002.
V. Loia, S. Sessa, A. Staiano, R. Tagliaferri, Merging Fuzzy Logic, Neural Networks and Genetic Computation in the Design of a Decision-Support System, International Journal of Intelligent Systems, Vol. 15, 575-594 (2000), John Wiley and Sons, Inc.
CONFERENCE PROCEEDINGS
F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, S. Sposato, A. Staiano, G. Staiano, A. Starace, Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF 2013. In F. Masulli, G. Pasi, R. Yager Eds., LNAI 8256, pp. 226-233, 2013
F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops 2013: 428-435, 2013
A. Staiano, M. D. Di Taranto, E. Bloise, M. N. D’Agostino, A. D’Angelo, G. Marotta, M. Gentile, F. Jossa, A. Iannuzzi, P. Rubba, G. Fortunato, Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests, Neural Nets and Surroundings, Smart Innovation, Systems and Technologies, Springer, Volume 19, pp 169-178, 2013
A. Petrosino, A. Staiano, A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns, Frontiers in Artificial Intelligence and Applications - New Directions in Neural Networks, Apolloni, Bassis, Marinaro (Eds), Vol. 193, pp. 3-11, 2009
A. Petrosino, A. Staiano, A Neuro-Fuzzy Approach for Sensor Network Data Cleaning, in Apolloni et al. (Eds): KES-WIRN 2007, LNAI 4694, pp. 140-147, Springer-Verlag, 2007.
R. D'Abrusco, G. Longo, M. Brescia, E. De Filippis, M. Paolillo, A. Staiano, R. Tagliaferri, Mining the Structure of the Nearby Universe, Modeling and Simulation in Science: 6th International Workshop on Data Analysis in Astronomy, Di Gesù, Lo Bosco, Maccarone Eds., World Sceintific, 2007
A. Ciaramella, F. Iorio, F. Napolitano, G. Raiconi, G. Miele, A. Staiano, R. Tagliaferri, Data Visualization and Clustering: an application to gene expression data, Modeling and Simulation in Science: 6th International Workshop on Data Analysis in Astronomy, Di Gesù, Lo Bosco, Maccarone Eds., World Sceintific, 2007
R. Amato, A. Ciaramella, A. Staiano, R. Tagliaferri, G. Longo, et al., NEC for Gene Expression Analysis, LNCS Vol. 3849/2006, pp. 246-251. Fuzzy Logic and Applications: 6th International Workshop, WILF 2005.
A. Ciaramella, A. Staiano, R. Tagliaferri, G. Longo, NEC: an Hierarchical Agglomerative Clustering based on Fischer and Negentropy Information, LNCS Vol. 3931/2006, pp. 49-56. WIRN-NAIS 2005.
A. Staiano, A. Ciaramella, R. Tagliaferri et al., Visualization, Clustering and Classification of Multidimensional Astronomical Data, IEEE Seventh International Workshop on Computer Architecture for Machine Perception (CAMP), pp. 141-146, 2005.
A. Staiano, A. Ciaramella, G. Raiconi, R. Tagliaferri et al., Data Visualization Methodologies for Data Mining Systems in Bioinformatics, IJCNN 2005, special session on Neural Networks Applications in Bioinformatics (IEEE Press), Montreal, 2005.
A. Staiano, L. De Vinco, R. Tagliaferri, G. Longo et al., Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining, Fourth IEEE International Conference on Data Mining: ICDM 2004. IEEE ISBN 0-7695-2142-8, pp. 202-209, Brighton, UK, 2004
A. Staiano, R. Tagliaferri, G. Longo, Committee of Spherical Probabilistic Principal Surfaces, International Joint Conference on Neural Networks, IEEE Press, Budapest, 2004.
A. Staiano, L. De Vinco, R. Tagliaferri, G. Longo, High-D Data Visualization Methods via Probabilistic Principal Surfaces for Data Mining Applications, Multimedia Database and Image Communication, Series on Software Engineering and Knowledge Engineering - World Scientific - Series, vol. 17, pp. 63-74, 2005.
A. Staiano, R. Tagliaferri, L. De Vinco, et al., Ensembles of Probabilistic Principal Surfaces and Competitive Evolution on Data: two different approaches to data classification, Astronomical Data Analysis III, Electronic Workshops in Computing, The British Computer Society, 2004.
A. Staiano, R. Tagliaferri, W. Pedrycz, Linear regression model-guided clustering for training RBF Neural Networks for regression problems, LNCS Vol. 2955/2006, pp. 127-132. Fuzzy Logic and Applications: 5th International Workshop, WILF 2003.
S.Sessa, G. Longo, R. Tagliaferri, A. Ciaramella, A. Staiano, Fuzzy Similarities in Stars/Galaxies Classification, IEEE Conference on System Man and Cybernetics, Tunisia, 2002.
R. Tagliaferri R., G. Longo, A. Staiano A. et al., Data mining of large astronomical databases with neural tools, SPIE 2002 Waikoloa Hawai, vol. 4847-49, pp. 265-276, 2002
A. Staiano et al., Artificial Intelligence Tools for Visualization and data Mining in Large Astronomical Databases, ESO/ESA/NASA/NSF Astronomy Conference, Garching, Germany (2002), Springer-Verlag, Vol 15/2004,pp. 202-213, 2004.
G. Longo, R. Tagliaferri, A. Staiano et al., Advanced Data Mining Tools for Exploring Large Astronomical Databases, SPIE's 46th Annual Meeting International Symposium on Optical Science and Technology, San Diego, CA, USA, 2001.
R. Tagliaferri, A. Staiano, D. Scala, A Supervised Fuzzy Clustering Algorithm for training Radial Basis Function Neural Networks, IFSA/NAFIPS 2001, IEEE Press, Vancouver, Canada.
A. Di Nola, V. Loia, A. Staiano, Genetic-based Spatial Clustering, FUZZ - IEEE 2000, May 7-10, S. Antonio, Texas, U.S.A.
V. Loia, S. Sessa, A. Staiano, R. Tagliaferri, An Evolutionary Hybrid Approach to the Design of a Decision-Support System, ACM SAC 2000, 2000.
Tutorials
A. Staiano and R. Tagliaferri, Visualization of High Dimensional Scientific Data, IJCNN 2005, Montreal, Canada (http://ewh.ieee.org/cmte/cis/mtsc/ieeecis/tutorial.htm)