Home Publications

Journal Papers:


Alessio Ferone, Antonio Maratea: Integrating rough set principles in the graded possibilistic clustering. Information Sciences. 477: 148-160 (2019)

Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio: Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecological Informatics 49: 54-61 (2019) 

Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio: A hand-based biometric system in visible light for mobile environments. Information Sciences. 479: 472-485 (2019)

Battistone, Francesco, Alfredo Petrosino: TGLSTM: A time based graph deep learning approach to gait recognition. Pattern Recognition Letters (in press).

Freire-Obregón, D., Narducci, F., Barra, S., Castrillón-Santana, M.: Deep learning for source camera identification on mobile devices. Pattern Recognition Letters (in press)

L. Maddalena and A. Petrosino, Self-Organizing Background Subtraction Using Color and Depth Data, Multimedia Tools and Applications, Springer, (in press). 


Lucia Maddalena, Alfredo Petrosino, Background Subtraction for Moving Object Detection in RGBD Data: A Survey. J. Imaging 4(5): 71 (2018)

Francesco Battistone, Alfredo Petrosino, Vincenzo Santopietro, Watch Out: Embedded Video Tracking with BST for Unmanned Aerial Vehicles. Signal Processing Systems 90(6): 891-900 (2018)

Francesco Camastra, Francesco Esposito, Antonino Staiano: Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. Neural Computing and Applications 29(11): 1005-1013 (2018) 

Alessio Ferone: Feature selection based on composition of rough sets induced by feature granulation. Internatioanl Journal Approximate Reasoning 101: 276-292 (2018)

Silvio Barra, Kim-Kwang Raymond Choo, Michele Nappi, Arcangelo Castiglione, Fabio Narducci, Rajiv Ranjan: Biometrics-as-a-Service: Cloud-Based Technology, Systems, and Applications. IEEE Cloud Computing 5(4): 33-37 (2018)

Maria De Marsico, Michele Nappi, Fabio Narducci, Hugo Proença: Insights into the results of MICHE I - Mobile Iris CHallenge Evaluation. Pattern Recognition 74: 286-304 (2018) 


Antonio Maratea, Alfredo Petrosino, Mario Manzo: User Click Modeling on a Learning Management System. IJHCITP 8(4): 38-49 (2017)

Alfredo Petrosino, Lucia Maddalena, Thierry Bouwmans: Editorial-Scene background modeling and initialization. Pattern Recognition Letters 96: 1-2 (2017)

Thierry Bouwmans, Lucia Maddalena, Alfredo Petrosino: Scene background initialization: A taxonomy. Pattern Recognition Letters 96: 3-11 (2017)

Jodoin P-M, Maddalena L., Petrosino A., Wang Y., Extensive Benchmark and Survey of Background Modeling Methods. IEEE Transactions on Image Processing 26 (11) : 5244-5256 (2017) 

Aniello Castiglione, Kim-Kwang Raymond Choo, Michele Nappi, Fabio Narducci: Biometrics in the Cloud: Challenges and Research Opportunities. IEEE Cloud Computing 4(4): 12-17 (2017)

Andrea F. Abate, Silvio Barra, Luigi Gallo, Fabio Narducci: Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices. Pattern Recognition Letters 91: 37-43 (2017)


H. Fu, Y. Wei, F. Camastra, P. Aricò, H. Sheng, Advances in Eye Tracking Technology: Theory, Algorithms, and Applications. Comp. Int. and Neurosc. 2016: 7831469:1-7831469:2 (2016)

F. Camastra, A. Staiano, Intrinsic dimension estimation: Advances and open problems. Information Sciences. 328: 26-41 (2016) 

M. De Marsico, A. Petrosino, S. Ricciardi, Iris recognition through machine learning techniques: A survey. Pattern Recognition Letters 82: 106-115 (2016)

Angelo Ciaramella, Giulio Giunta: Packet loss recovery in audio multimedia streaming by using compressive sensing. IET Communications 10(4): 387-392 (2016)

Angelo Ciaramella, Marco Gianfico, Giulio Giunta: Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming. Multimedia Tools Appl. 75(24): 17375-17392 (2016) 

João C. Neves, Fabio Narducci, Silvio Barra, Hugo Proença: Biometric recognition in surveillance scenarios: a survey. Artificial Intelligence Review 46(4): 515-541 (2016)

Fabio Narducci, Stefano Ricciardi, Raffaele Vertucci: Enabling consistent hand-based interaction in mixed reality by occlusions handling. Multimedia Tools Appl. 75(16): 9549-9562 (2016) 


S. Iodice, A. Petrosino, Salient feature based graph matching for person re-identification. Pattern Recognition 48(4): 1074-1085 (2015)

A. Petrosino, Special Section: ICIAP 2013 Awards. Pattern Recognition Letters 55: 34 (2015)  

F. Camastra, R. Amato, M. D. Di Taranto, A. Staiano, Advances in Computational Methods for Genetic Diseases. Comp. Math. Methods in Medicine 2015: 645649:1-645649:2 (2015)

F. Camastra, M. D. Di Taranto, A. Staiano, Statistical and Computational Methods for Genetic Diseases: An Overview. Comp. Math. Methods in Medicine 2015: 954598:1-954598:8 (2015)

F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. 42(3): 1710-1716 (2015) 

 Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace: A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. 42(3): 1710-1716 (2015)

Silvio Barra, Andrea Casanova, Fabio Narducci, Stefano Ricciardi: Ubiquitous iris recognition by means of mobile devices. Pattern Recognition Letters 57: 66-73 (2015) 


A. Ferone, L. Maddalena, Neural Background Subtraction for Pan-Tilt-Zoom Cameras. IEEE Trans. Systems, Man, and Cybernetics: Systems 44(5): 571-579 (2014) 

L. Maddalena, A. Petrosino, The 3dSOBS+ algorithm for moving object detection. Computer Vision and Image Understanding 122: 65-73 (2014)

A. Maratea, A. Petrosino, M. Manzo, Adjusted F-measure and kernel scaling for imbalanced data learning. Informaiton Sciences 257: 331-341 (2014)

L. Maddalena, A. Petrosino, F. Russo, People counting by learning their appearance in a multi-view camera environment. Pattern Recognition Letters 36: 125-134 (2014)

A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection. IEEE Trans. Knowl. Data Eng. 26(1): 194-207 (2014)

A. Petrosino, S. K. Pal, Guest Editorial on Decision Making in Human and Machine Vision. IEEE Trans. Systems, Man, and Cybernetics: Systems 44(5): 521-522 (2014)

Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace: TÉRA: A tool for the environmental risk assessment of genetically modified plants. Ecological Informatics 24: 186-193 (2014) 


V. Cantoni, A. Ferone, O. Ozbudak, A. Petrosino, Protein motifs retrieval by SS terns occurrences, Pattern Recognition Letters 34(5): 559-563 (2013) - PDF - BibTeX 

R. Melfi, S. Kondra, A. Petrosino, Human activity modeling by spatio temporal textural appearance. Pattern Recognition Letters 34(15): 1990-1994 (2013)

L. Maddalena, A. Petrosino, Stopped Object Detection by Learning Foreground Model in Videos. IEEE Trans. Neural Netw. Learning Syst. 24(5): 723-735 (2013) 

F. Camastra, A. Ciaramella, A. Staiano, Machine learning and soft computing for ICT security: an overview of current trends. J. Ambient Intelligence and Humanized Computing 4(2): 235-247 (2013) 

L. Lamberti, F. Camastra, Handy: A real-time three color glove-based gesture recognizer with learning vector quantization, Expert Syst. Appl. 39(12): 10489-10494 (2012) - PDF - BibTex
A. Ferone, L. Maddalena, Neural Background Subtraction for PTZ Cameras, IEEE Transactions on Systems, Man, and Cybernetics: Systems, accepted - PDF - BibTeX
A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set and Spatio-Temporal Outlier Detection, IEEE Transactions on Knowledge and Data Engineering(99): 1 (2012) - PDF - BibTeX
A. Petrosino, M. Miralto, A. Ferone, A real-time streaming server in the RTLinux environment using VideoLanClient, J. Real-Time Image Processing 6(4): 247-256 (2011) - PDF - BibTeX
A. Ciaramella, E. De Lauro, S. De Martino, M. Falanga, R. Tagliaferri: Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA. J. Signal and Information Processing 2(3): 141-151 (2011) - PDF - BibTeX
L. Maddalena, A. Petrosino, A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection, Neural Computing and Applications 19(2): 179-186 (2010) - PDF - BibTeX
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) - PDF - BibTeX
L. Maddalena, A. Petrosino, "A Fuzzy Spatial Coherence-based Approach to Background/ Foreground Separation for Moving Object Detection", Neural Computing and Applications19(2):179-186, (2010) - PDF - BibTeX
I. Bloch, A. Petrosino, A. Tettamanzi, Fuzzy sets in interdisciplinary perception and intelligence, Fuzzy Sets and Systems 160(10), pp. 1339-1340, (2009)
A. Petrosino, A. Ferone, Rough fuzzy set-based image compression, Fuzzy Sets and Systems 160(10), pp. 1485-1506, (2009) - PDF - BibTeX
L. Maddalena, A. Petrosino, G. Laccetti, A fusion-based approach to digital movie restoration, Pattern Recognition 42(7), pp. 1485-1495, (2009) - PDF - BibTeX
Michele Ceccarelli, Antonio Maratea, Concordance indices for comparing fuzzy, possibilistic, rough and grey partitions. IJKESDP 1(4): 331-344 (2009)
Michele Ceccarelli, Antonio Maratea, Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans, Artificial Intelligence in Medicine 45(2-3): 109-115 (2009) - PDF - BibTeX
F. Camastra, A. Vinciarelli, Jie Yu, Machine Learning for Audio, Image and Video Analysis, J. Electronic Imaging 18(2): 029901 (2009)
F. Camastra, M. Filippone, A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Computing and Applications 18(8): 1021-1029 (2009 - PDF - BibTeX
A. Ciaramella, G. Giunta, A. Riccio, S. Galmarini, Independent Data Model Selection for Ensemble Dispersion Forecasting. Applications of Supervised and Unsupervised Ensemble Methods, 213-231, (2009) - PDF - BibTeX
M. Ceccarelli, A. Maratea, Improving fuzzy clustering of biological data by metric learning with side information, International Journal on Approximate Reasoning, vol. 47, no. 1, pp. 45-57 - PDF - BibTeX
L. Maddalena, A. Petrosino, A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications", IEEE Transactions on Image Processing 17(7), pp. 1168-1177 - PDF - BibTeX
L. Maddalena, A. Petrosino, A. Ferone, Object Motion Detection and Tracking by an Artificial Intelligence Approach, International Journal of Pattern Recognition and Artificial Intelligence(5), pp. 915-928.
L. Maddalena, A. Petrosino, Restoration of blue scratches in digital image sequences, Image Vision Comput. 26(10), pp. 1314-1326 - PDF - BibTeX
A. Petrosino, A. Staiano, Fuzzy modeling for data cleaning in sensor networks, Int. J. Hybrid Intell. Syst. 5(3), pp. 143-151
A. Mérigot, A. Petrosino, Parallel processing for image and video processing: Issues and challenges, Parallel Computing 34(12), pp. 694-699 - PDF - BibTeX
 F. Camastra, A SVM Greek character recogniser. IJIDSS 1(4): 290-299 (2008)
M. Filippone, F. Camastra, F. Masulli, S. Rovetta: A survey of kernel and spectral methods for clustering. Pattern Recognition 41(1): 176-190 (2008)
F. Napolitano, G. Raiconi, R. Tagliaferri, A. Ciaramella, A. Staiano, G. Miele, Clustering and visualization approaches for human cell cycle gene expression data analysis. Int. J. Approx. Reasoning 47(1): 70-84 (2008)
A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri, Interactive data analysis and clustering of genomic data. Neural Networks 21(2-3): 368-378 (2008)
L. Lombardi, A. Petrosino, Distributed recursive learning for shape recognition through multiscale trees, Image and Vision Computing, vol. 25, no. 2, pp. 240-247 - PDF - BibTeX
F. Camastra: A SVM-based cursive character recognizer. Pattern Recognition 40(12): 3721-3727 (2007)
F. Camastra: Image Processing: Principles and Applications [book review]. IEEE Transactions on Neural Networks 18(2): 610 (2007)
M. Ceccarelli, F. Musacchia, A. Petrosino, Content Based Image Retrieval by a Fuzzy Scale-Space Approach, International Journal of Pattern Recognition and Artificial Intelligence, vol. 20, no. 6, pp. 849-868 - PDF - BibTeX

A. Petrosino, G. Salvi, 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 - PDF - BibTeX


M. Gori, A. Petrosino, Encoding Nondeterministic Fuzzy Tree Automata into Recursive Neural Networks, IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1435-1449 - PDF - BibTeX


M. Ceccarelli, A. Petrosino, A Parallel Fuzzy Scale-Space Approach to the Unsupervised Texture Separation, Pattern Recognition Letters, vol.23, pp.557-567 - PDF - BibTeX

V. Cantoni, A. Petrosino, Neural Recognition in a Pyramidal Structure, IEEE Transactions on Neural Networks, vol. 13, no. 2, pp. 472-480 - PDF - BibTeX

M. Funaro, M. Marinaro, A. Petrosino, S. Scarpetta, Finding hidden events in astrophysical data using PCA and Mixture of Gaussians clustering, Pattern Analysis and Applications, vol. 5, no. 1, pp. 15-22 - PDF - BibTeX


Events & Announcements


Main events

IAPR Summer School on Machine and Vision Intelligence

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

The Eleventh International Workshop on Fuzzy Logic and Applications
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