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<p>Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values, A. Ciaramella, D. Nardone, A. Staiano, Lecture Notes in Bioinformatics, “Computational Intelligence Methods for Bioinformatics and Biostatistics”, ISBN 978-3-030-34585-3;</p>
<p>Semantic Maps for Knowledge Management of Web and Social Information, Camastra, F., Ciaramella, A., Maratea, A., Son, L.H., Staiano, A. (2020) Studies in Computational Intelligence, 837, pp. 39-51</p>
<p>Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario, A. Ciaramella, D. Nardone, A. Staiano (2020) . In: Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore;</p>
<p>Fuzzy Similarity-based Hierarchical Clustering for Atmospheric Pollutants Prediction, F. Camastra, A. Ciaramella, A. Riccio, S. Le Hoang, A. Staiano, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11291 LNAI, pp. 123-133, 2019;</p>
<p>Content-based music agglomeration by sparse modeling and convolved independent component analysis, M. Iannicelli, D. Nardone, A. Ciaramella, A. Staiano, (2019) Smart Innovation, Systems and Technologies, 103, pp. 87-96;</p>
<p>Fuzzy clustering of structured data: Some preliminary results, G. Vettigli, A. Ciaramella, IEEE International Conference on Fuzzy Systems, art. no. 8015648, 2017;</p>
<p>On the estimation of pollen density on non-target lepidoptera food plant leaves in bt-maize exposure models: Open problems and possible neural network-based solutions, F. Camastra, A. Ciaramella, A. Staiano, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10613 LNCS, pp.407-414, 2017;</p>
<p>Semantic maps of Twitter conversations, A. Ciaramella, A. Maratea, E. Spagnoli, Smart Innovation, Systems and Technologies, 69, pp. 327-338, 2017;</p>
<p>A bayesian-based neural network model for solar photovoltaic power forecasting, A. Ciaramella, A. Staiano, G. Cervone, S. Alessandrini, Smart Innovation, Systems and Technologies, 54, pp. 169-177, ISSN: 21903018, doi: 10.1007/978-3-319-33747-0_17, 2016;</p>
<p>A Fuzzy Decision Support System for the Environmental Risk Assessment of genetically modified organisms, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace,Smart Innovation, Systems and Technologies, 26,pp. 241-249, ISSN: 21903018, doi: 10.1007/978-3-319-04129-2_24, 2014;</p>
<p>Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, LNCS, vol. 8158, p. 428-435, ISBN: 978-3-642-41189-2, ISSN:0302-9743, doi: 10.1007/978-3-642-41190-846, 2013;</p>
<p>Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, LNAI, vol. 8256, p. 226-233, ISBN: 978-3-319-03199-6, ISSN:0302-9743, doi: 10.1007/978-3-319-03200-923, 2013;</p>
<p>Comparison of Dispersion Models by Using Fuzzy Similarity Relations, A. Ciaramella, A. Riccio, S. Galmarini, G. Giunta, S. Potempski, LNCS, vol. 6934; p. 57-67, ISSN: 0302-9743, doi:10.1007/978-3-642-23954-0_8, 2011;</p>
<p>Uninorm Based Fuzzy Network for Tree Data Structures, A. Ciaramella, W. Pedrycz, A. Petrosino, LNAI 5571, pp. 77-84, ISSN: 0302-9743, doi: 10.1007/978-3-642-02282-1_10, 2009;</p>
<p>Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification, A. Ciaramella, A. Riccio, F. Angelini, G. P. Gobbi, T. C. Landi, LNAI 5853, pp. 375-384, ISSN: 0302-9743, doi:10.1007/978-3-642-10291-2_38, 2009;</p>
<p>Independent Data Model Selection for Ensemble Dispersion Forecasting, A. Ciaramella, G. Giunta, A. Riccio, S. Galmarini, Book: Applications of Supervised and Unsupervised Ensemble Methods Series: Studies in Computational Intelligence, Vol. 245, pp. 213-231, ISSN: 1860-949X, doi: 10.1007/978-3-642-03999-7_12, 2009;</p>
<p>Single Channel Polyphonic Music Transcription, A. Ciaramella,Frontiers in Artificial Intelligence and Applications (IOS), vol. 193, pp. 99-108, ISSN: 0922-6389, doi:10.3233/978-1-58603-984-4-99, 2009</p>
<p>The Genetic Development of Uninorm-Based Neurons, A. Ciaramella, W. Pedrycz and R. Tagliaferri, LNAI 4578, pp. 69-76, ISSN: 0302-9743, 2007;</p>
<p>Clustering, Assessment and Validation: an application to gene expression data, A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA,August 12-17, 2007, pp. 1419-1425, ISSN: 10987576, doi: 10.1109/IJCNN.2007.4371199, 2007;</p>
<p>NEC for Gene Expression Analysis, R. Amato, A. Ciaramella, N. Deniskina, et al., LNAI 3849 , pp. 246-251, ISSN: 03029743, doi:10.1007/11676935_30, 2006;</p>
<p>OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms, A. Ciaramella, W. Pedrycz, R. Tagliaferri, LNAI 3849, pp. 188-194, ISSN:0302-9743, doi: 10.1007/11676935_23, 2006;</p>
<p>NEC: a Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information, A. Ciaramella, G. Longo, A. Staiano, R. Tagliaferri, LNCS 3931, pp. 49-56, ISSN: 03029743, doi: 10.1007/11731177_8, 2006;</p>
<p>Fuzzy Relational Neural Network for Data Analysis, A. Ciaramella, W. Pedrycz, R. Tagliaferri, A. Di Nola, LNAI 2955, pp. 103 - 109, ISSN: 0302-9743, 2006;</p>
<p>BSS Toolbox for Delayed and Convolved Mixtures, A. Ciaramella, F. Iorio, R. Tagliaferri, Proceedings of IEEE International Joint Conference on Neural Networks 2005 (IJCNN05), vol. 2, pp. 1245 - 1250,ISBN: 0780390482;978-078039048-5, doi: 10.1109 /IJCNN.2005.1556032,2005;</p>
<p>Data Visualization Methodologies for Data Mining Systems in Bioinformatics, A. Ciaramella, A. Staiano, R. Tagliaferri et al., Proceedings of IEEE International Joint Conference on Neural Networks 2005 (IJCNN05), vol. 1, pp. 143 - 148, ISBN: 0780390482;978-078039048-5, doi:10.1109 /IJCNN.2005.1555820, 2005;</p>
<p>Visualization, Clustering and Classification of Multidimensional Astronomical Data, A. Ciaramella, A. Staiano, R. Tagliaferri et al., Proceedings of IEEE International Workshop onComputer Architecture for Machine Perception (CAMP05 ), pp. 141 - 146, 2005;</p>
<p>Inference Systems by Using Ordinal Sums and Genetic Algorithms, A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of NAFIPS 2004, IEEE Annual Meeting of the Fuzzy Information, vol.2, pp. 629 - 634, 2004;</p>
<p>Fuzzy Neural Networks Based on Fuzzy Logic Algebras Valued Relations, R. Tagliaferri, A. Ciaramella, A. Di Nola, R. Belohlavek,“Fuzzy Partial Differential Equations and Relational Equations: Reservoir Characterization and Modeling”, M. Nikravesh,L.A. Zadeh, V. Korotnihk (Eds.), Springer-Verlag, ISBN: 978-3-540-20322-3, doi: 10.1007/978-3-540-39675-8_3, 2004;</p>
<p>Ordinal Sums by Using Genetic Algorithms , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of FUZZ-IEEE 2004, IEEE International Conference on Fuzzy Systems, vol. 2, pp. 641-646, ISSN: 10987584, doi: 10.1109 /FUZZY.2004.1375472, 2004;</p>
<p>ICA for Modelling and Generating Organ Pipes Self-sustained Tones, A. Ciaramella, E. De Lauro, S. De Martino, M. R. Falanga, R. Tagliaferri, Proceedings of IJCNN 2004, IEEE International Joint Conference on Neural Networks, pp. 261-266, ISSN: 10987576, 2004;</p>
<p>Probabilistic principal surfaces for yeast gene microarray data mining, A. Staiano, L. De Vinco, A. Ciaramella, G. Raiconi, R. Tagliaferri, R. Amato, G. Longo, C. Donalek, G. Miele, D.D. Bernardo, Proceedings of IEEE Conference on Data Mining, Brighton, UK, 1-4 Novembre, ISBN: 0769521428;978-076952142-8, doi: 10.1109/ICDM.2004.10088, 2004;</p>
<p>Amplitude and Permutation Indeterminacies in Frequency Domain Convolved ICA, A. Ciaramella, R. Tagliaferri, Proceedings of the IEEE International Joint Conference on Neural Networks 2003, vol. 1, pp. 708-713, 2003;</p>
<p>Fuzzy Similarities in Stars/Galaxies Classification , S. Sessa , R. Tagliaferri, G. Longo, A. Ciaramella, A. Staiano, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 2 , pp. 494-496, ISSN: 08843627, 2002;</p>
<p>Fuzzy relations neural network: Some preliminary results, A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 469-472, 2001;</p>
<p>Two-layer Fuzzy Relational Networks: some preliminary results, A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems & Thecnology (CBGI) 2001, pp. 82-86, ISBN: 0970789009, 2001;</p>
<p>Advanced Data Mining Tools for Exploring Large Astronomical Data Bases, G. Longo, R. Tagliaferri, S. Sessa, P. Ortiz, M. Capaccioli, A. Ciaramella, C. Donalek, G. Raiconi, A. Staiano, A. Volpicelli, SPIE’s 46th Annual Meeting International Symposium on Optical Scienceand Technology, pp. 61-75, ISSN: 0277786X, doi: 10.1117/12.447191, 2001;</p>
<p>Hybrid Neural Networks for Frequency Estimation of Unevenly Sampled Data, F. Barone, A. Ciaramella, L. Milano, R. Tagliaferri, G. Longo, Proceedings of the International JointConference on Neural Networks (IJCNN), vol. II, pp. 975-979, 2000;</p>
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