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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.

 

ICIAP 2013

17th International Conference on
Image Analysis and Processing
September 11-13, 2013 Naples, Italy
 

PhD Studentship in Machine Learning for Computer Vision

 

 

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