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    <title>Publications | CVPR Lab</title>
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      <title>Publications</title>
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      <title>Books</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;&lt;a href=&#34;https://www.springer.com/gp/book/9781447167341&#34;&gt;Machine Learning for Audio, Image and Video Analysis&lt;/a&gt;&lt;br&gt;
Camastra Francesco, Vinciarelli Alessandro&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://www.crcpress.com/Handbook-on-Soft-Computing-for-Video-Surveillance/Pal-Petrosino-Maddalena/p/book/9781439856840&#34;&gt;Handbook on Soft Computing for Video Surveillance&lt;/a&gt;&lt;br&gt;
S.K. Pal, A. Petrosino, L. Maddalena (Eds), Chapman &amp;amp; Hall/CRC&lt;br&gt;
ISBN: 9781439856840, 2012.\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://www.springer.com/gp/book/9783642237126&#34;&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 6857&lt;/a&gt;&lt;br&gt;
Anna Maria Fanelli, Witold Pedrycz, Alfredo Petrosino (Eds.), Springer 2011, isbn 978-3-642-23712-6\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://www.springer.com/it/book/9783540325291&#34;&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 3849&lt;/a&gt;&lt;br&gt;
Bloch, Isabelle; Petrosino, Alfredo; Tettamanzi, Andrea G.B. (Eds.), Springer-Verlag, 2006, ISBN: 3-540-32529-8\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://www.springer.com/it/book/9783540310198&#34;&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 2955&lt;/a&gt;&lt;br&gt;
Di Gesù, Vito; Masulli, Francesco; Petrosino, Alfredo (Eds.), 2005&lt;br&gt;
ISBN: 3-540-31019-3.\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;http://kluwer.m0.net/m/s.asp?HB6920827412X1557354X127314Xjo%40plenum.co.uk&#34;&gt;Visual Attention Mechanisms&lt;/a&gt;&lt;br&gt;
Cantoni V., Marinaro M., Petrosino A., Ed.s, Kluwer, 2002.\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;http://cvprlab.uniparthenope.it/publications/new_trends_in_fuzzy_logic_ii_files/papers.htm&#34;&gt;New Trends in Fuzzy Logic II&lt;/a&gt;&lt;br&gt;
Castellano M., Blonda P., Petrosino A. Ed.s, World Scientific Publishing, Singapore,1998.\&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;http://cvprlab.uniparthenope.it/publications/new_trends_in_fuzzy_logic_files/papers.htm&#34;&gt;New Trends in Fuzzy Logic&lt;/a&gt;&lt;br&gt;
Bonarini A., Mancini A., Masulli F., Petrosino A. Ed.s, World Scientific Publishing, Singapore, 1996\&lt;/p&gt;
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      <title>Conference Papers</title>
      <link>/publications/conference/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>/publications/conference/</guid>
      <description>&lt;p&gt;&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;Handbook on Soft Computing for Video Surveillance&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;, S.K. Pal, A. Petrosino, L. Maddalena (Eds), , Chapman &amp;amp; Hall/CRC, ISBN: 9781439856840, 2012.\&lt;/p&gt;
&lt;p&gt;&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 6857&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;, Anna Maria Fanelli, Witold Pedrycz, Alfredo Petrosino (Eds.), Springer 2011, isbn 978-3-642-23712-6\&lt;/p&gt;
&lt;p&gt;&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 3849&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;, Bloch, Isabelle; Petrosino, Alfredo; Tettamanzi, Andrea G.B. (Eds.), Springer-Verlag, 2006, ISBN: 3-540-32529-8\&lt;/p&gt;
&lt;p&gt;&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;Fuzzy Logic and Applications, Lecture Notes in Computer Science, vol. 2955&lt;!-- raw HTML omitted --&gt;&lt;!-- raw HTML omitted --&gt;, Di Gesù, Vito; Masulli, Francesco; Petrosino, Alfredo (Eds.), 2005, ISBN: 3-540-31019-3.\&lt;/p&gt;
&lt;p&gt;Visual Attention Mechanisms, Cantoni V., Marinaro M., Petrosino A., Ed.s, Kluwer, 2002.\&lt;/p&gt;
&lt;p&gt;New Trends in Fuzzy Logic II, Castellano M., Blonda P., Petrosino A. Ed.s, World Scientific Publishing, Singapore,1998.\&lt;/p&gt;
&lt;p&gt;New Trends in Fuzzy Logic, Bonarini A., Mancini A., Masulli F., Petrosino A. Ed.s, World Scientific Publishing, Singapore, 1996\&lt;/p&gt;
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      <title>Journal Papers</title>
      <link>/publications/journal/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>/publications/journal/</guid>
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&lt;p&gt;Alessio Ferone, Antonio Maratea: Integrating rough set principles in the graded possibilistic clustering. &lt;strong&gt;Information Sciences&lt;/strong&gt;. 477: 148-160 (2019)&lt;/p&gt;
&lt;p&gt;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. &lt;strong&gt;Ecological Informatics&lt;/strong&gt; 49: 54-61 (2019)&lt;/p&gt;
&lt;p&gt;Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio: A hand-based biometric system in visible light for mobile environments. &lt;strong&gt;Information Sciences&lt;/strong&gt;. 479: 472-485 (2019)&lt;/p&gt;
&lt;p&gt;Battistone, Francesco, Alfredo Petrosino: TGLSTM: A time based graph deep learning approach to gait recognition. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; (in press).&lt;/p&gt;
&lt;p&gt;Freire-Obregón, D., Narducci, F., Barra, S., Castrillón-Santana, M.: Deep learning for source camera identification on mobile devices. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; (in press)&lt;/p&gt;
&lt;p&gt;L. Maddalena and A. Petrosino, Self-Organizing Background Subtraction Using Color and Depth Data, &lt;strong&gt;Multimedia Tools and Applications&lt;/strong&gt;, Springer, (in press).&lt;/p&gt;
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&lt;p&gt;Francesco Battistone, Alfredo Petrosino, Vincenzo Santopietro, Watch Out: Embedded Video Tracking with BST for Unmanned Aerial Vehicles. &lt;strong&gt;Signal Processing Systems&lt;/strong&gt; 90(6): 891-900 (2018)&lt;/p&gt;
&lt;p&gt;Francesco Camastra, Francesco Esposito, Antonino Staiano: Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. &lt;strong&gt;Neural Computing and Applications&lt;/strong&gt; 29(11): 1005-1013 (2018)&lt;/p&gt;
&lt;p&gt;Alessio Ferone: Feature selection based on composition of rough sets induced by feature granulation. &lt;strong&gt;Internatioanl Journal Approximate Reasoning&lt;/strong&gt; 101: 276-292 (2018)&lt;/p&gt;
&lt;p&gt;Silvio Barra, Kim-Kwang Raymond Choo, Michele Nappi, Arcangelo Castiglione, Fabio Narducci, Rajiv Ranjan: Biometrics-as-a-Service: Cloud-Based Technology, Systems, and Applications. &lt;strong&gt;IEEE Cloud Computing&lt;/strong&gt; 5(4): 33-37 (2018)&lt;/p&gt;
&lt;p&gt;Maria De Marsico, Michele Nappi, Fabio Narducci, Hugo Proença: Insights into the results of MICHE I - Mobile Iris CHallenge Evaluation. &lt;strong&gt;Pattern Recognition&lt;/strong&gt; 74: 286-304 (2018)&lt;/p&gt;
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&lt;p&gt;Alfredo Petrosino, Lucia Maddalena, Thierry Bouwmans: Editorial-Scene background modeling and initialization. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 96: 1-2 (2017)&lt;/p&gt;
&lt;p&gt;Thierry Bouwmans, Lucia Maddalena, Alfredo Petrosino: Scene background initialization: A taxonomy. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 96: 3-11 (2017)&lt;/p&gt;
&lt;p&gt;Jodoin P-M, Maddalena L., Petrosino A., Wang Y., Extensive Benchmark and Survey of Background Modeling Methods. &lt;strong&gt;IEEE Transactions on Image Processing&lt;/strong&gt; 26 (11) : 5244-5256 (2017)&lt;/p&gt;
&lt;p&gt;Aniello Castiglione, Kim-Kwang Raymond Choo, Michele Nappi, Fabio Narducci: Biometrics in the Cloud: Challenges and Research Opportunities. &lt;strong&gt;IEEE Cloud Computing&lt;/strong&gt; 4(4): 12-17 (2017)&lt;/p&gt;
&lt;p&gt;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. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 91: 37-43 (2017)&lt;/p&gt;
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&lt;p&gt;F. Camastra, A. Staiano, Intrinsic dimension estimation: Advances and open problems. &lt;strong&gt;Information Sciences&lt;/strong&gt;. 328: 26-41 (2016)&lt;/p&gt;
&lt;p&gt;M. De Marsico, A. Petrosino, S. Ricciardi, Iris recognition through machine learning techniques: A survey. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 82: 106-115 (2016)&lt;/p&gt;
&lt;p&gt;Angelo Ciaramella, Giulio Giunta: Packet loss recovery in audio multimedia streaming by using compressive sensing. &lt;strong&gt;IET Communications&lt;/strong&gt; 10(4): 387-392 (2016)&lt;/p&gt;
&lt;p&gt;Angelo Ciaramella, Marco Gianfico, Giulio Giunta: Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming. &lt;strong&gt;Multimedia Tools Appl.&lt;/strong&gt; 75(24): 17375-17392 (2016)&lt;/p&gt;
&lt;p&gt;João C. Neves, Fabio Narducci, Silvio Barra, Hugo Proença: Biometric recognition in surveillance scenarios: a survey. &lt;strong&gt;Artificial Intelligence Review&lt;/strong&gt; 46(4): 515-541 (2016)&lt;/p&gt;
&lt;p&gt;Fabio Narducci, Stefano Ricciardi, Raffaele Vertucci: Enabling consistent hand-based interaction in mixed reality by occlusions handling. &lt;strong&gt;Multimedia Tools Appl.&lt;/strong&gt; 75(16): 9549-9562 (2016)&lt;/p&gt;
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&lt;p&gt;A. Petrosino, Special Section: ICIAP 2013 Awards. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 55: 34 (2015)&lt;/p&gt;
&lt;p&gt;F. Camastra, R. Amato, M. D. Di Taranto, A. Staiano, Advances in Computational Methods for Genetic Diseases. &lt;strong&gt;Comp. Math. Methods in Medicine&lt;/strong&gt; 2015: 645649:1-645649:2 (2015)&lt;/p&gt;
&lt;p&gt;F. Camastra, M. D. Di Taranto, A. Staiano, Statistical and Computational Methods for Genetic Diseases: An Overview. &lt;strong&gt;Comp. Math. Methods in Medicine&lt;/strong&gt; 2015: 954598:1-954598:8 (2015)&lt;/p&gt;
&lt;p&gt;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. &lt;strong&gt;Expert Syst. Appl.&lt;/strong&gt; 42(3): 1710-1716 (2015)&lt;/p&gt;
&lt;p&gt;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. &lt;strong&gt;Expert Syst. Appl.&lt;/strong&gt; 42(3): 1710-1716 (2015)&lt;/p&gt;
&lt;p&gt;Silvio Barra, Andrea Casanova, Fabio Narducci, Stefano Ricciardi: Ubiquitous iris recognition by means of mobile devices. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 57: 66-73 (2015)&lt;/p&gt;
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&lt;p&gt;L. Maddalena, A. Petrosino, The 3dSOBS+ algorithm for moving object detection. &lt;strong&gt;Computer Vision and Image Understanding&lt;/strong&gt; 122: 65-73 (2014)&lt;/p&gt;
&lt;p&gt;A. Maratea, A. Petrosino, M. Manzo, Adjusted F-measure and kernel scaling for imbalanced data learning. &lt;strong&gt;Informaiton Sciences&lt;/strong&gt; 257: 331-341 (2014)&lt;/p&gt;
&lt;p&gt;L. Maddalena, A. Petrosino, F. Russo, People counting by learning their appearance in a multi-view camera environment. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 36: 125-134 (2014)&lt;/p&gt;
&lt;p&gt;A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection. &lt;strong&gt;IEEE Trans. Knowl. Data Eng.&lt;/strong&gt; 26(1): 194-207 (2014)&lt;/p&gt;
&lt;p&gt;A. Petrosino, S. K. Pal, Guest Editorial on Decision Making in Human and Machine Vision. &lt;strong&gt;IEEE Trans. Systems, Man, and Cybernetics: Systems&lt;/strong&gt; 44(5): 521-522 (2014)&lt;/p&gt;
&lt;p&gt;&lt;!-- raw HTML omitted --&gt;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. &lt;strong&gt;Ecological Informatics&lt;/strong&gt; 24: 186-193 (2014)&lt;!-- raw HTML omitted --&gt;&lt;/p&gt;
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&lt;p&gt;R. Melfi, S. Kondra, A. Petrosino, Human activity modeling by spatio temporal textural appearance. &lt;strong&gt;Pattern Recognition Letters&lt;/strong&gt; 34(15): 1990-1994 (2013)&lt;/p&gt;
&lt;p&gt;L. Maddalena, A. Petrosino, Stopped Object Detection by Learning Foreground Model in Videos. &lt;strong&gt;IEEE Trans. Neural Netw. Learning Syst.&lt;/strong&gt; 24(5): 723-735 (2013)&lt;/p&gt;
&lt;p&gt;F. Camastra, A. Ciaramella, A. Staiano, Machine learning and soft computing for ICT security: an overview of current trends. &lt;strong&gt;J. Ambient Intelligence and Humanized Computing&lt;/strong&gt; 4(2): 235-247 (2013)&lt;/p&gt;
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&lt;p&gt;A. Ferone, L. Maddalena, Neural Background Subtraction for PTZ Cameras, &lt;strong&gt;IEEE Transactions on Systems, Man, and Cybernetics: Systems&lt;/strong&gt;, accepted - [PDF](/pdf/Neural Background Subtraction for PTZ Cameras.pdf) - BibTeX&lt;/p&gt;
&lt;p&gt;A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set and Spatio-Temporal Outlier Detection, &lt;strong&gt;IEEE Transactions on Knowledge and Data Engineering(99)&lt;/strong&gt;: 1 (2012) - [PDF](/pdf/Rough Sets, Kernel Set and Spatio-Temporal Outlier Detection.pdf) - [BibTeX](/bib/Rough Sets, Kernel Set and Spatio-Temporal Outlier Detection.bib)&lt;/p&gt;
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&lt;p&gt;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) - &lt;a href=&#34;JSIP20110300017_53298522.pdf&#34;&gt;PDF&lt;/a&gt; - &lt;a href=&#34;/bib/JSIP20110300017_53298522.bib&#34;&gt;BibTeX&lt;/a&gt;&lt;/p&gt;
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&lt;p&gt;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) - &lt;a href=&#34;/pdf/2010_therapy.pdf&#34;&gt;PDF&lt;/a&gt; - &lt;a href=&#34;/bib/2010_therapy.bib&#34;&gt;BibTeX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;L. Maddalena, A. Petrosino, &amp;ldquo;A Fuzzy Spatial Coherence-based Approach to Background/ Foreground Separation for Moving Object Detection&amp;rdquo;, Neural Computing and Applications19(2):179-186, (2010) - PDF - BibTeX&lt;/p&gt;
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