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Alfredo Petrosino - Publications

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Books

[1] "New Trends in Fuzzy Logic", Bonarini A., Mancini A., Masulli F., Petrosino A. Ed.s, (1996), World Scientific Publishing, Singapore.

[2] "New Trends in Fuzzy Logic II", Castellano M., Blonda P., Petrosino A. Ed.s, (1998), World Scientific Publishing, Singapore.

[3] "Visual Atention Mechanisms", Cantoni V., Marinaro M., Petrosino A., Ed.s, (2002), Kluwer/Plenum Press, New York.

[4] "Fuzzy Logic and Applications", Di Gesù V., Masulli F., Petrosino A., Ed.s, (2005), Lecture Notes in Computer Science vol. 2955, Springer-Verlag.

[5] "Fuzzy Logic and Applications", Bloch I., Petrosino A., Tettamanzi A., Ed.s, (2006), Lecture Notes in Computer Science vol. 3849, Springer-Verlag.

[6] "Fuzzy Logic and Applications", Di Gesù V., Petrosino A., Pal Kumar S., Ed.s, (2009), Lecture Notes in Computer Science vol. 5591, Springer-Verlag.

[7] "Fuzzy Logic and Applications", Petrosino, A., Fanelli, A. M., Pedrycz, W., Eds, (2011), Lecture Notes in Computer Science vol. 6857, Springer-Verlag. 

[8] "Clustering High-Dimensional Data",  Masulli, F., Petrosino, A., Rovetta, S. (Eds.), Lecture Notes in Computer Science vol. 7627, Springer-Verlag. 

[9]  "Progress in Image Analysis and Processing - Part I", Petrosino A. (Ed.), Lecture Notes in Computer Science vol. 8156, Springer-Verlag.  

[10] "Progress in Image Analysis and Processing - Part II", Petrosino A. (Ed.), Lecture Notes in Computer Science vol. 8157, Springer-Verlag. 

[11] "Fuzzy Logic and Soft Computing Applications", Petrosino, A., Loia, V., Pedrycz, W. (Eds.), Lecture Notes in Computer Science vol. 10147, Springer-Verlag. 

[12] "Sistemi Operativi: un approccio basato su concetti", Petrosino A. (Italian author), McGraw Hill, 2008-9.


International Journals

[1] Caianiello E.R., Petrosino A., Tagliaferri R., De Benedictis A. (1992), `Neural Associative Memories with Minimum Connectivity', Neural Networks, vol. 5, no. 3, pp. 433-439.

[2] Ceccarelli M., Petrosino A., Vaccaro R. (1993), `Competitive Neural Networks on Message Passing Parallel Computers', Concurrency: practice and experience, vol. 5, no. 6, pp. 449-470.

[3] d' Acierno A., Ceccarelli M., Farina A., Petrosino A., Timmoneri L. (1994), `Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications', IEICE Trans. on Communications, E77-B, no. 10, pp. 1264-1271.

[4] Ceccarelli M., Farina A., Petrosino A., Vaccaro R., Vinelli F. (1994), `SAR Image Segmentation Using
Textural Information and Neural Classifiers', L' Onde Electrique, vol. 74, no. 3, pp. 24-33.

[5] Ceccarelli M., Petrosino A. (1997), `Multi-Feature Adaptive Classifiers for SAR Image Segmentation', Neurocomputing: an International Journal, vol. 14, pp. 345-363.

[6] Petrosino A., Tarantino E. (1998) `Parallel Image Understanding Algorithms on MIMD Multicomputers', Computing: An International Journal, vol. 60, pp. 120-135, Springer-Verlag, Wien/New York.

[7] Petrosino A., Salvi G. (1999), `A Two Subcycle Thinning Algorithm and its Parallel Implementation on SIMD Machines', IEEE Transactions on Image Processing, vol. 9, no. 2, pp. 277-283, Febbraio 2000.

[8] Funaro M., Marinaro M., Petrosino A., Scarpetta S., (2002), `Finding hidden events in astrophysical data using PCA and Mixture of Gaussians clustering', Pattern Analysis and Applications, vol. 5, no. 1, pp. 15-22, Springer-Verlag.

[9] Cantoni V., Petrosino A. (2002), `Neural Recognition in a Pyramidal Structure', IEEE Transactions on Neural Networks, vol. 13, n. 2, pp. 472-480, IEEE Computer Society Press.

[10] Ceccarelli M., Petrosino A. (2002), `A Parallel Fuzzy Scale-Space Approach to the Unsupervised Texture
Separation', Pattern Recognition Letters, vol. 23, pp. 557-567, Elsevier Science.

[11] Gori M., Petrosino A. (2003), `Encoding Nondeterministic Fuzzy Tree Automata into Recursive
Neural Networks', IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1435-1449, IEEE Computer Society Press.

[12] A. Petrosino, G. Salvi, (2006), `Rough fuzzy set based scale space transforms and their use in image analysis', International Journal of Approximate Reasoning, vol 41, no. 2, pp. 212-228, February 2006.

[13] F. Masulli, A. Petrosino, (2006), `Advances in fuzzy sets and rough sets', International Journal of Approximate Reasoning, vol. 41, no. 2, pp. 75-76, 2006.

[14] M. Ceccarelli, F. Musacchia, A. Petrosino (2006), `Content Based Image Retrieval by a Fuzzy Scale-Space Approach', International Journal of Pattern Recognition and Artificial Intellingence, vol. 20, no. 6, pp. 849-868.

[15] L. Lombardi, A. Petrosino, (2007), `Distributed recursive learning for shape recognition through multiscale trees', Image and Vision Computing, vol. 25, no. 2, pp. 240--247, Elsevier Science Publisher, 2007.

[16] L. Maddalena, A. Petrosino (2008) `A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications, IEEE Transactions on Image Processing, vol. 17, no. 7, pp. 1168-1177, 2008.

[17] L. Maddalena, A. Petrosino (2008), `Restoration of blue scratches in digital image sequences', Image and Vision Computing, Elsevier Science, vol. 26, no. 10, pp. 1314-1326, 2008.

[18] A. Petrosino, A. Staiano (2008), `Fuzzy modeling for data cleaning in sensor networks', International Journal of Hybrid Intelligent Systems, vol. 5, no. 3, pp. 143-151, ISSN: 1448-5869.

[19] L. Maddalena, A. Petrosino, A. Ferone (2008), `Object Motion Detection And Tracking by An Artificial Intelligence Approach', International Journal of Pattern Recognition and Artificial Intelligence, vol. 22, no. 5, pp. 915-928, 2008.

[20] A. Merigot, A. Petrosino (2008), `Present and future trends in parallel processing for IP and vision", Parallel Computing, vol. 34, no. 12, pp. 694-699, ISSN: 0167-8191, 2008.

[21] A. Petrosino, A. Ferone (2009), `Rough fuzzy image compression', Fuzzy Sets and Systems, Elsevier Science, vol. 160, no. 10, pp. 1485-1506, 2009.

[22] L. Maddalena, A. Petrosino (2009), `A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection', Neural Computing and Application, Springer Verlag, pp..

[23] L. Maddalena, A. Petrosino, G. Laccetti (2009), `A Fusion-based Approach to Digital Movie Restoration', Pattern Recognition, Elsevier, vol. 42, no. 7 pp. 1485-1495, 2009.


Books and Conference Proceedings


[1] L. Lombardi, A. Petrosino (2005), `Object Recognition by Recursive Learning of Multiscale Trees',
Lecture Notes in Computer Science vol. 2955, pp. 255-262, Springer Verlag.

[2] M. Ceccarelli, F. Musacchia, A. Petrosino (2005), `A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval', Lecture Notes in Computer Science vol. 3704, pp. 377-385, Springer Verlag, 2005.

[3] G. Laccetti, L. Maddalena, A. Petrosino (2005), `Removing Line Scratches in Digital Image Sequences by Fusion Techniques', Lecture Notes in Computer Science vol. 3617, pp. 695-702, Springer Verlag.

[4] G. Laccetti, L. Maddalena, A. Petrosino (2005), `P-LSR: A Parallel Algorithm for Line Scratch Restoration',
Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception (CAMP2005), IEEE Computer Society, pp. 225-230.

[5] I. Bloch, G. Martino, A. Petrosino (2006), `A Fuzzy Mathematical Morphology Approach to Multiseeded Image Segmentation', Lecture Notes in Computer Science, vol. 3849, pp. 362-368, Springer Verlag.

[6] M. Ceccarelli, A. Petrosino (2006), `Unsupervised Change Detection in Multispectral Images based on Independent Component Analysis', Proceedings of the 2006 IEEE International Workshop on Imaging Systems and Techniques, pp. 54 - 59, IEEE Computer Society.

[7] F. Di Donna, L. Maddalena, A. Petrosino (2007), `About the embedding of color uncertainty in CBIR systems', Lecture Notes in Computer Science vol. 4578, pp. 394-403, Springer-Verlag, 2007.

[8] L. Maddalena, A. Petrosino (2007), `Moving Object Detection for Real-Time Applications', in Proceedings of 14th International Conference on Image Analysis and Processing (ICIAP07), , DOI 10.1109/ICIAP.2007.89, pp. 542-547, IEEE Computer Society.

[9] L. Maddalena, A. Petrosino (2007), `A Self-Organizing Approach to Detection of Moving Patterns for Real-Time Applications', Lecture Notes in Computer Science vol. 4729, pp. 181-190, Springer Verlag.

[10] A. Petrosino, A. Staiano (2007), `A Neuro-fuzzy Approach for Sensor Network Data Cleaning', Lecture Notes in Computer Science, vol. 4694, vol. 3, pp. 140-147, Springer Verlag, 2007.

[11] L. Maddalena, A. Petrosino, `A Self-organizing Neural System for Background and Foreground Modeling', Lecture Notes in Computer Science, vol. 5163, pp. 652-66, 2008.

[12] L. Maddalena, A. Petrosino, `Neural Model-Based Segmentation of Image Motion', Lecture Notes in Computer Science, vol. 5177, pp. 57-64, 2008.

[13] F. Camastra, A. Petrosino, `Kernel Methods for Graphs: A Comprehensive Approach', Lecture Notes in Computer Science, vol. 5177, pp. 662-669, 2008.

[14] A. Ferone, A. Petrosino, `A Neuro Fuzzy Approach for Handling Structured Data', Lecture Notes in Computer Science, vol. 5291, pp.189-200, 2008.

[15] L. Maddalena, A. Petrosino (2009), `Multivalued Background/Foreground Separation for Moving Object Detection', Lecture Notes in Computer Science, vol. 5571, pp. 263-270, Springer Verlag, 2009.

[16] A. Ciaramella, W. Pedrycz, A. Petrosino, `Uninorm Based Fuzzy Network for Tree Data Structures', Lecture Notes in Computer Science, vol. 5571, pp. 77-84, Springer Verlag, 2009.

 

Events & Announcements


 

Main events

VISMAC2018
IAPR Summer School on Machine and Vision Intelligence

CVPL2018
1° Convegno dell'Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning 

WILF2016
The Eleventh International Workshop on Fuzzy Logic and Applications
FLA2016
Workshop on Formal Language and Automata
 ICIAP 2013 
17th International Conference on Image Analysis and Processing September 11-13, 2013 Naples, Italy
PhD Studentship 2017 
in Machine Learning for Computer Vision