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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)">
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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)
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<p>Alessio Ferone, Antonio Maratea: Integrating rough set principles in the graded possibilistic clustering. <strong>Information Sciences</strong>. 477: 148-160 (2019)</p>
<p>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. <strong>Ecological Informatics</strong> 49: 54-61 (2019)</p>
<p>Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio: A hand-based biometric system in visible light for mobile environments. <strong>Information Sciences</strong>. 479: 472-485 (2019)</p>
<p>Battistone, Francesco, Alfredo Petrosino: TGLSTM: A time based graph deep learning approach to gait recognition. <strong>Pattern Recognition Letters</strong> (in press).</p>
<p>Freire-Obregón, D., Narducci, F., Barra, S., Castrillón-Santana, M.: Deep learning for source camera identification on mobile devices. <strong>Pattern Recognition Letters</strong> (in press)</p>
<p>L. Maddalena and A. Petrosino, Self-Organizing Background Subtraction Using Color and Depth Data, <strong>Multimedia Tools and Applications</strong>, Springer, (in press).</p>
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<p>Francesco Battistone, Alfredo Petrosino, Vincenzo Santopietro, Watch Out: Embedded Video Tracking with BST for Unmanned Aerial Vehicles. <strong>Signal Processing Systems</strong> 90(6): 891-900 (2018)</p>
<p>Francesco Camastra, Francesco Esposito, Antonino Staiano: Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. <strong>Neural Computing and Applications</strong> 29(11): 1005-1013 (2018)</p>
<p>Alessio Ferone: Feature selection based on composition of rough sets induced by feature granulation. <strong>Internatioanl Journal Approximate Reasoning</strong> 101: 276-292 (2018)</p>
<p>Silvio Barra, Kim-Kwang Raymond Choo, Michele Nappi, Arcangelo Castiglione, Fabio Narducci, Rajiv Ranjan: Biometrics-as-a-Service: Cloud-Based Technology, Systems, and Applications. <strong>IEEE Cloud Computing</strong> 5(4): 33-37 (2018)</p>
<p>Maria De Marsico, Michele Nappi, Fabio Narducci, Hugo Proença: Insights into the results of MICHE I - Mobile Iris CHallenge Evaluation. <strong>Pattern Recognition</strong> 74: 286-304 (2018)</p>
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<p>Alfredo Petrosino, Lucia Maddalena, Thierry Bouwmans: Editorial-Scene background modeling and initialization. <strong>Pattern Recognition Letters</strong> 96: 1-2 (2017)</p>
<p>Thierry Bouwmans, Lucia Maddalena, Alfredo Petrosino: Scene background initialization: A taxonomy. <strong>Pattern Recognition Letters</strong> 96: 3-11 (2017)</p>
<p>Jodoin P-M, Maddalena L., Petrosino A., Wang Y., Extensive Benchmark and Survey of Background Modeling Methods. <strong>IEEE Transactions on Image Processing</strong> 26 (11) : 5244-5256 (2017)</p>
<p>Aniello Castiglione, Kim-Kwang Raymond Choo, Michele Nappi, Fabio Narducci: Biometrics in the Cloud: Challenges and Research Opportunities. <strong>IEEE Cloud Computing</strong> 4(4): 12-17 (2017)</p>
<p>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. <strong>Pattern Recognition Letters</strong> 91: 37-43 (2017)</p>
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<p>F. Camastra, A. Staiano, Intrinsic dimension estimation: Advances and open problems. <strong>Information Sciences</strong>. 328: 26-41 (2016)</p>
<p>M. De Marsico, A. Petrosino, S. Ricciardi, Iris recognition through machine learning techniques: A survey. <strong>Pattern Recognition Letters</strong> 82: 106-115 (2016)</p>
<p>Angelo Ciaramella, Giulio Giunta: Packet loss recovery in audio multimedia streaming by using compressive sensing. <strong>IET Communications</strong> 10(4): 387-392 (2016)</p>
<p>Angelo Ciaramella, Marco Gianfico, Giulio Giunta: Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming. <strong>Multimedia Tools Appl.</strong> 75(24): 17375-17392 (2016)</p>
<p>João C. Neves, Fabio Narducci, Silvio Barra, Hugo Proença: Biometric recognition in surveillance scenarios: a survey. <strong>Artificial Intelligence Review</strong> 46(4): 515-541 (2016)</p>
<p>Fabio Narducci, Stefano Ricciardi, Raffaele Vertucci: Enabling consistent hand-based interaction in mixed reality by occlusions handling. <strong>Multimedia Tools Appl.</strong> 75(16): 9549-9562 (2016)</p>
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<p>A. Petrosino, Special Section: ICIAP 2013 Awards. <strong>Pattern Recognition Letters</strong> 55: 34 (2015)</p>
<p>F. Camastra, R. Amato, M. D. Di Taranto, A. Staiano, Advances in Computational Methods for Genetic Diseases. <strong>Comp. Math. Methods in Medicine</strong> 2015: 645649:1-645649:2 (2015)</p>
<p>F. Camastra, M. D. Di Taranto, A. Staiano, Statistical and Computational Methods for Genetic Diseases: An Overview. <strong>Comp. Math. Methods in Medicine</strong> 2015: 954598:1-954598:8 (2015)</p>
<p>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. <strong>Expert Syst. Appl.</strong> 42(3): 1710-1716 (2015)</p>
<p>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. <strong>Expert Syst. Appl.</strong> 42(3): 1710-1716 (2015)</p>
<p>Silvio Barra, Andrea Casanova, Fabio Narducci, Stefano Ricciardi: Ubiquitous iris recognition by means of mobile devices. <strong>Pattern Recognition Letters</strong> 57: 66-73 (2015)</p>
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<p>L. Maddalena, A. Petrosino, The 3dSOBS+ algorithm for moving object detection. <strong>Computer Vision and Image Understanding</strong> 122: 65-73 (2014)</p>
<p>A. Maratea, A. Petrosino, M. Manzo, Adjusted F-measure and kernel scaling for imbalanced data learning. <strong>Informaiton Sciences</strong> 257: 331-341 (2014)</p>
<p>L. Maddalena, A. Petrosino, F. Russo, People counting by learning their appearance in a multi-view camera environment. <strong>Pattern Recognition Letters</strong> 36: 125-134 (2014)</p>
<p>A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection. <strong>IEEE Trans. Knowl. Data Eng.</strong> 26(1): 194-207 (2014)</p>
<p>A. Petrosino, S. K. Pal, Guest Editorial on Decision Making in Human and Machine Vision. <strong>IEEE Trans. Systems, Man, and Cybernetics: Systems</strong> 44(5): 521-522 (2014)</p>
<p><!-- raw HTML omitted -->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. <strong>Ecological Informatics</strong> 24: 186-193 (2014)<!-- raw HTML omitted --></p>
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<p>R. Melfi, S. Kondra, A. Petrosino, Human activity modeling by spatio temporal textural appearance. <strong>Pattern Recognition Letters</strong> 34(15): 1990-1994 (2013)</p>
<p>L. Maddalena, A. Petrosino, Stopped Object Detection by Learning Foreground Model in Videos. <strong>IEEE Trans. Neural Netw. Learning Syst.</strong> 24(5): 723-735 (2013)</p>
<p>F. Camastra, A. Ciaramella, A. Staiano, Machine learning and soft computing for ICT security: an overview of current trends. <strong>J. Ambient Intelligence and Humanized Computing</strong> 4(2): 235-247 (2013)</p>
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<p>A. Ferone, L. Maddalena, Neural Background Subtraction for PTZ Cameras, <strong>IEEE Transactions on Systems, Man, and Cybernetics: Systems</strong>, accepted - [PDF](/pdf/Neural Background Subtraction for PTZ Cameras.pdf) - BibTeX</p>
<p>A. Albanese, S. K. Pal, A. Petrosino, Rough Sets, Kernel Set and Spatio-Temporal Outlier Detection, <strong>IEEE Transactions on Knowledge and Data Engineering(99)</strong>: 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)</p>
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<p>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) - <a href="JSIP20110300017_53298522.pdf">PDF</a> - <a href="/bib/JSIP20110300017_53298522.bib">BibTeX</a></p>
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<p>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 href="/pdf/2010_therapy.pdf">PDF</a> - <a href="/bib/2010_therapy.bib">BibTeX</a></p>
<p>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</p>
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