Books (2)
1. F. Camastra, A. Vinciarelli, Machine Learning for Image, Video and Audio Analysis-Theory and Applications, Second Edition, Advanced Information and Knowledge Processing Series, Springer, ISBN 978-1-4471-6734-1, (2015)
2. F. Camastra, A. Vinciarelli, Machine Learning for Image, Video and Audio Analysis-Theory and Applications, Advanced Information and Knowledge Processing Series, Springer, ISBN 978-1-84800-006-3, December 2007, (2007) (Scholar Google: 293 citations).
Chapter 2: Audio acquisition, representation and storage (Scopus: 2 citations, Scholar Google: 2 citations)
Chapter 3: Image and video acquisition, representation and storage (Scopus: 1 citation, Scholar Google: 1 citation)
Chapter 4: Machine Learning (Scopus: 6 citations)
Chapter 6: Clustering (Scopus: 13 citations; Scholar Google: 16 citations)
Chapter 10: Markovian Models for Sequential Data (Scopus: 31 citations; Scholar Google: 21 citations).
Chapter11: Feature Extraction Methods and Manifold Learning Methods (Scopus: 85 citations; Scholar Google: 12 citations)
Chapter 12: Speech and Handwriting Recognition (Scholar Google: 3 citations)
Chapter 13: Automatic Face Recognition (Scopus: 3 citations; Scholar Google: 5 citation)
Chapter 14: Video Segmentation and Keyframe Extraction (Scopus: 4 citations; Scholar Google: 7 citations)
Chapter 15: Speech and Handwriting Recognition (Scopus: 1 citaion; Scholar Google: 1 citation)
Chapter 16: Automatic Personality Perception (Scopus: 1 citation; Scholar Google: 1 citation)
International Journals (29)
3. A. Casolaro, V. Capone, F. Camastra, "Predicting ground-level nitrogen dioxide concentration using the BaYesian attention-based deep neural network", Ecological Informatics, July 2025 (2025)
4. F.Camastra, A. Ciaramella, G. Salvi, S. Sposato, A. Staiano, "On the interpretability of fuzzy knowledge base systems", PeerJ Computer Science, 10, 2558, (2024)
5. A. Casolaro, V. Capone, G. Iannuzzo, F. Camastra, "Deep Learning for Time Series Forecasting: Advances and Open Problems" , Information, 14, 598 (2023) (Scopus: 44 citation; Scholar Google: 74 citations)
6. F. Camastra, A. Casolaro, G. Iannuzzo, Manifold Learning by a Deep Gaussian Process Autoencoder, Neural Computing and Application, 35(21), 15573-15582, (2023) (Scopus: 5 citations; Scholar Google: 6 citations)
7. F. Camastra, V. Capone, A. Ciaramella, A. Riccio, A. Staiano, Prediction of Environmental Missing Data Time Series Prediction by Support Vector Machine Regression and Correlation Dimension Estimation, Environmental Modeling and Software, April 2022 (Scopus: 44 citations; Scholar Google: 54 citations).
8. A. Lanzoni, S. Bosi, V. Bregola, F. Camastra, A. Ciaramella, A. Staiano, G. Dinelli, G. Burgio, "Assessing the effects of Bt Maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints", Bulletin of Entomological Research, 112(1), 29-43, 5 February 2022, Cambridge University Press, (2022) (Scopus: 1 citation; Scholar Google: 2 citations).
9. E. Chianese, F. Camastra, A. Ciaramella, T.C. Landi, A. Staiano, A. Riccio, "Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron", Ecological Informatics (IF 2017=2.310), 49, January 2019, 54-61, Elsevier (2019). (Scopus: 27 citations; Scholar Google: 37 citations, WOS: 12 citations).
10. F. Camastra, F. Esposito, A. Staiano, "Linear SVM-based Recognition of Elementary Juggling Movements using Correlation Dimension of Euler Angles of a Single Arm, Neural Computing and Applications (IF 2018=4.664), 29(11), 1005-1013, June 2018, Springer, (2018) (Scopus: 9 citations; Scholar Google: 9 citations; WOS: 4 citations).
11. H. Fu, Y. Wei, F. Camastra, P. Arico, H. Sheng, Advances in Eye Tracking Technology: Theory, Algorithms and Applications, Editorial, Computational Intelligence and Neuroscience (IF 2016=1.215), Article ID 7831469, 1-2, Volume 2016, Hindawi, (2016) (Scopus: 13 citations; Scholar Google: 23 citations).
12. F. Camastra, A. Staiano, Intrinsic Dimension Estimation: Advances and Open Problems, Information Sciences (IF 2016=4.832), 328, 20 January 2016, 26-41, Elsevier, (2016) (Scopus: 128 citations; Scholar Google: 242 citations; WOS: 76 citations ).
13. F. Camastra, R. Amato, M.D. Di Taranto, A. Staiano, Advances in Computational Methods for Genetic Diseases, Editorial, Computational and Mathematical Methods for Medicine (IF 2015=0.887), Article ID 645649, 1-2, Volume 2015, Hindawi, (2015) (Scopus: 1 citation; Scholar Google: 1 citation)
14. F. Camastra, M.D. Di Taranto, A. Staiano Computational and Statistical Methods for Genetic Diseases: an Overview, Computational and Mathematical Methods for Medicine (IF 2015=0.887), Article ID 954598, 1-8, Volume 2015, Hindawi, (2015), (Scopus: 20 citations; Scholar Google: 27 citations; WOS: 11 citations).
15. 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 System with Applications (IF 2015=2.981), 42(3), 16 February 2015, 1710-1716, ISSN: 0957-4174, Elsevier, (2015) ( Scopus: 93 citations; Scholar Google: 133 citations; WOS: 68 citations).
16. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, TERA: A Tool for the Environmental Risk Assessment of Genetically Modified Plant, Ecological Informatics (IF 2014=1.727), 24, 186-193, November 2014, ISSN: 1574-9541, Elsevier, (2014) ( Scopus: 3 citations; Scholar Google: 4 citations; WOS: 3 citations).
17. F. Camastra, A. Ciaramella, A. Staiano, A note on some mathematical models of exposure to Bt-maize pollen, Ecological and Environmental Statistics (IF 2014= 0.925), 21(3), 477-485, 15 August 2014, ISSN: 1352-8505, Springer (2014) (Scopus: 3 citations; Scholar Google: 4 citations; WOS: 4 citations).
18. F. Camastra, A. Ciaramella, A. Staiano, Machine Learning and Soft Computing for ICT Security: an Overview of Current Trends, Journal of Ambient Intelligence and Humanized Computing, 4(2), 235-247, April 2013, ISSN: 1868-5137, Springer (2013) ( Scopus: 27 citations; Scholar Google: 37 citations,; WOS: 21 citations).
19. L. Lamberti, F. Camastra, Handy: A Real-time Color Glove-based Gesture Recognizer with Learning Vector Quantization, Expert Systems with Applications (IF 2012= 1.854), 36(12), 10489-10494, 15 September 2012,ISSN: 0957-4174, Elsevier (2012) (Scopus: 27 citations; Scholar Google: 44 citations; WOS: 26 citations).
20. F. Camastra, M. Filippone, A Comparative Evaluation of Nonlinear Dynamics Methods for Time Series Prediction, Neural Computing and Applications (IF 2009= 0.812), ISSN: 0941-0643, 18(8), 1021-1029, November 2009, Springer (2009) ( Scopus: 27 citations; Scholar Google: 34 citations; WOS: 23 citations).
21. F. Camastra, A SVM Greek Character Recogniser, International Journal of Intelligent Defence Support Systems, ISSN: 1872-4981, 1(4), 290-299, InderScience, 2008, (2008) (Scholar Google: 2 citations).
22. M. Filippone, F. Camastra, F. Masulli, S. Rovetta. A survey on spectral and kernel methods for clustering, Pattern Recognition (IF 2008= 3.279), ISSN: 0031-3203, 41(1), 176-190, January 2008, Pergamon, (2008) (Scopus: 697 citations; Scholar Google: 1130 citations; WOS: 567 citations) (The paper was awarded with PR award 2008 that selects the best manuscript published on Pattern Recognition in the year 2008).
23. F. Camastra, A SVM-based cursive character recognizer, Pattern Recognition (IF 2007= 2.019), ISSN: 0031-3203, 40(12), 3721-3727, December 2007, Pergamon, (2007) (Scopus: 76 citations; Scholar Google: 123 citations; WOS: 61 citations).
24. F. Camastra, A. Verri, A Novel Kernel Method for Clustering, IEEE Transaction on Pattern Analysis and Machine Intelligence (IF 2005= 3.810), ISSN: 0162-8828, 27(5), 801-805, May 2005, IEEE Computer Society, (2005) (Scopus: 300 citations; Scholar Google: 426 citations; WOS: 242 citations).
25. F. Camastra, Data Dimensionality Estimation Methods: A Survey, Pattern Recognition (IF 2003= 1.611), ISSN: 0031-3203, 36(12), 2945-2954, December 2003, Pergamon, (2003) (Scopus: 231 citations; Scholar Google: 384 citations; WOS: 191 citations).
26. F. Camastra, A. Vinciarelli, Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition, Neurocomputing (IF 2003= 0.592), ISSN: 0925-2312, 51C, 147-159, April 2003, Elsevier, (2003) (Scopus: 36 citations; Scholar Google: 51 citations; WOS-ISI: 28 citations).
27. F. Camastra, A. Vinciarelli, Estimating Intrinsic Dimension of Data with a Fractal-Based Method, IEEE Transaction on Pattern Analysis and Machine Intelligence (IF 2002= 2.923), ISSN: 0162-8828, 24(10), 1404-1407, October 2002, IEEE Computer Society, (2002) (Scopus: 198 citations; Scholar Google: 332 citations; WOS-ISI: 149 citations).
28. F. Camastra, A. Vinciarelli, Intrinsic Dimension Estimation of data: An approach based on Grassberger-Procaccia Algorithm, Neural Processing Letters (IF 2001= 0.379), ISSN: 1370-4621, 14(1), 27-34, August 2001, Springer Netherlands, (2001) (Scopus: 36 citations; Scholar Google: 67 citations; WOS: 27 citations).
29. F. Camastra, A. Vinciarelli, Cursive Character Recognition by Learning Vector Quantization, Pattern Recognition Letters (IF 2001= 0.552), ISSN: 0167-8655, 22(6-7), 625-629, April 2001, Elsevier (2001) (Scopus: 38 citations; Scholar Google: 57 citations; WOS: 32 citations).
30. F. Camastra, A. Vinciarelli, Isolated Cursive Character Recognition based on Neural Nets, Kunstliche Intelligenz, ISSN: 0933-1875, 13(2), 17-19, June 1999, (1999) (Scholar Google: 6 citations)
31. F. Camastra, A.M. Colla, Neural short-term prediction based on dynamics reconstruction, Neural Processing Letters (IF 2000= 0.365), ISSN: 1370-4621, 9(1), 45-52, February 1999, Springer Netherlands, (1999) (Scopus: 21 citations; Scholar Google: 26 citations; WOS: 15 citations).
National Journals (2)
32. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, S. D'imporzano, D. Laudato, A. Mella, Applicazione della reti neurali per il controllo avanzato on-line su impianto (in Italian), Automazione e Strumentazione, ISSN: 0005-1284, 97-102, February 1996, (1996).
33. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Stima Neurale dello Stato di una linea A.P. di Preriscaldo (in Italian), Automazione e Strumentazione, ISSN: 0005-1284, 97-103, May 1995, (1995).
Book Reviews (4)
34. F.Camastra, Book Review: Image Processing: Principles and Application by Tinku Acharaya, Ajoy K. Ray, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 18(2), 610-610, March 2007, (2007) (Scholar Google: 7 citations).
35. F. Camastra, Book Review: Nonlinear Predictive Control Theory and Practice by B. Kouvaritakis and M. Cannon, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 17(2), 535-535, March 2006, (2006) (Scopus: 1 citation).
36. F. Camastra, Book Review: Differential Neural Networks for Robust Nonlinear Control by A.S. Poznyak, E.N. Sanchez and Wen Yu, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 15(1), 226-227, January 2004, (2004).
37. F. Camastra, Book Review: Information dynamics: foundations and applications by G. Deco and B. Schurmann, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 13(5), 1251-1252, September 2002, (2002).
Springer LNCS/LNAI Series (12)
38. F. Camastra, V. Capone, A. Ciaramella, T.C. Landi, A. Riccio, A. Staiano, Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction, in Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani (eds.) ICPR 2020 Workshops and Challenges, Lecture Notes In Computer Science vol. 12666, 26-33, Springer. (Scopus: 1 citation; Scholar Google: 1 citation)
39. F. Camastra, A. Ciaramella, L. H. Son,A. Riccio, A. Staiano, Fuzzy Similarity based Hierarchical Clustering for Atmospheric Pollutants Prediction in (R. Fuller et eds.) WILF 2018, Genova, September, 6-7, 2018, Lectures Notes on Artificial Intelligence Series 11291, 123.133, Springer, doi:10.1007/978-3-030-12544-8 10, (2019). ( Scopus: 5 citations; Scholar Google: 5 citations;WOS: 2 citations)
40. F. Camastra, A. Ciaramella, A. Staiano, On the estimation of pollen density on non-target Lepidoptera food plant leaves in Bt-maize exposure models: Open Problems and Possible Solutions, in A. Lintas, S. Rovetta, P.F.M.J. Verschure, A.E.P. Villa (eds.), Artificial Neural Networks and Machine Learning , ICANN 2017, proc. 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Lecture Notes In Computer Science vol. 10613, 407-414, Springer, ISBN: 978-3-319-68599-1, doi:10.1007/978-3-319-68600-4 47.
41. F. Camastra, Dimensionality Estimation: Achievements and Challanges, in F. Masulli, A. Petrosino, S. Rovetta, Clustering High-Dimensional Data, International Workshop on Clustering High-Dimensional Data (CHDD12), May 15th 2012, Naples, Italy, Lectures Notes on Artificial Intelligence Series 7627, 87-101, (2015).
42. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, S. Sposato, A. Staiano, G. Staiano, A. Starace, Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs, in F. Masulli, G. Pasi, R. Yager (eds.), WILF 2013, Genova, November, 19-21, 2013, Lectures Notes on Artificial Intelligence Series 8256, 226-233, Springer, (2013), (Scopus: 1 citation; Scholar Google: 2 citations ).
43. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System, in A. Petrosino, L. Maddalena, P. Pala (eds.), New Trends in Image Analysis and Processing- ICIAP 2013, Lectures Notes on Computer Science Series 8158, 428-435, Springer, ISBN: 978-3-642-41189-2 , (2013), (Scholar Google: 1 citation).
44. L. Lamberti, F. Camastra, Real-time Hand Gesture Recognition using a Color Glove in G. Maino and G. L. Foresti (eds.) Image Analysis and Processing - ICIAP 2011, 16th International Conference, Ravenna, Italy, September 14-16 2011, PART I, Lectures Notes on Computer Science Series 6978, 365-373, Springer, ISBN: 978-3-642-24084-3, (2011) ( Scopus: 72 citations,; Scholar Google: 150 citations;WOS: 28 citations).
45. F. Camastra, A. Petrosino, Kernel Methods for Graphs: A comprehensive Approach in I. Lovrek, R.J. Howlett, L. Jain (eds.) KES 2008, PART II, Lecture Notes on Artificial Intelligence Series 5178, 662-668, Springer, ISBN: 978-3-540-85564-4 (2008) (Scholar Google: 12 citations; Scopus: 7 citations; WOS-ISI: 5 citations).
46. F. Camastra, Handwritten Greek Character Recognizer with Learning Vector Quantization, in B. Apolloni, R.J. Howlett, L. Jain (eds.) KES 2007/WIRN 2007, PART III, Lecture Notes on Artificial Intelligence Series no. 4694, 267-274, Springer, ISBN: 978-3-540-74828-1, (2007) (Scopus: 1 citation; Scholar Google: 2 citations).
47. F. Camastra, M. Filippone, SVM-based Time Series Prediction using Nonlinear Dynamics Methods, in B. Apolloni, R.J. Howlett, L. Jain (eds.) KES 2007/WIRN 2007, PART III, Lecture Notes on Artificial Intelligence Series no. 4694, 300-307, Springer, ISBN: 978-3-540-74828-1, (2007) ( Scopus: 6 citations; Scholar Google: 10 citations; WOS: 4 citations).
48. F.Camastra, Kernel Methods for Clustering, in B. Apolloni, M. Marinaro, G. Nicosia and R. Tagliaferri (eds.) Proceedings of 16th Workshop of Italian Neural Network Society (WIRN05), pp. 1-9, June 8-10 2005, Vietri sul mare, Italy, Lectures Notes on Computer Science Series no. 3931, Springer (invited paper, as recipient of Eduardo R. Caianiello Award 2005), ISBN: 3-540-33183-2, (2006) (Scopus: 7 citations; Scholar Google: 21 citations; WOS-ISI: 4 citations).
49. F. Camastra, A.M. Colla, Short-term Load Forecasting based on Correlation Dimension Estimation and Neural Nets, in W. Gerstner, A. Germond, M. Hasler and J.D. Nicoud (eds.) proc. of 7th International Conference on Artificial Neural Network (ICANN 97), 1035-1040, Lausanne, Switzerland, October 8th-10th 1997, Lectures Notes on Computer Science Series no. 1327, Springer, ISBN: 3-540-63631-5, (1997) ( Scopus: 1 citation; Scholar Google: 4 citations;).
Book Chapters (22)
50. A. Staiano, A.J. Spoleto, G. Hauber, M. Lettiero, P. Barra, F. Camastra, Deep learning-based robust head pose estimation, to be published on WIRN 2024 proceedings, (2025).
51. V. Capone, A. Casolaro, G. Iannuzzo, F. Camastra, Are Transformers Always Necessary for Statistical Language Modelling, to be published on WIRN 2024, (2025).
52. A. Casolaro, V. Capone, G. Iannuzzo, F. Camastra, Iterated Transformer Encoder-based Time Series Prediction, to be published on WIRN 2024, (2025).
53. G. Iannuzzo, A. Casolaro, V. Capone, A. Ciaramella, F. Camastra, M. Di Capua, Smart Traffic Lights System with Multi-agent Reinforcement Learning for Road Congestions, to be published on WIRN 2024, (2025).
54. F. Camastra, A. Casolaro, G. Iannuzzo, Time Series prediction with missing data by an Iterated Deep Gaussian Process, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds.) Applications of Articial Intelligence and Neural Systems to Data Science. WIRN 2022. Smart Innovation, Systems and Technologies (to appear) (2025)
55. F. Camastra, A. Casolaro, G. Iannuzzo, Manifold Learning by a Deep Gaussian Process Variational Autoencoder, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds.) Applications of Artificial Intelligence and Neural Systems to Data Science. WIRN 2022. Smart Innovation, Systems and Technologies 360, 29-36 (2023)
56. D. Davino, F. Camastra, A. Ciaramella, A. Staiano, Spam Detection by Machine Learning-based Content Analysis, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds.) Progresses in Artificial Intelligence and Neural Systems. WIRN 2019. Smart Innovation, Systems and Technologies, vol 184, 415-422, doi: 10.1007/978-981-15-5093-5 37 (2021) (Scopus: 4 citations; Scholar Google: 4 citations)
57. V. M. Scarrica, F. Camastra, G. Diodati, V. Quaranta, Fault Detection in a Blower by Machine Learning-based Vibrational Analysis, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds.) Progresses in Artificial Intelligence and Neural Systems. WIRN 2019. Smart Innovation, Systems and Technologies, vol 184, 383-391, doi: 10.1007/978-981-15-5093-5 34 (2021)
58. F. Camastra, G. Razi, Lemmatization-based Categorization of Italian newpaper articles with Support Vector Machines, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds.) Neural Approaches to Dynamics of Signal Exchanges. WIRN 2018. Smart Innovation, Systems and Technologies, vol 151, 47-54, doi:10.1007/978-981-13-8950-4 5 (2020) (Scopus: 14 citations; Scholar Google: 20 citations)
59. F. Camastra, A. Ciaramella, A. Maratea, L.H. Son, A. Staiano, Semantic Maps for Knowledge Management of Web and Social Information in G. Acampora, W. Pedrycz, A.V. Vasilakos, A. Vitiello (eds.) Studies in Computational Intelligence, 837, 39-51, Springer (2020) (Scopus: 6 citations; Scholar Google: 8 citations)
60. D. De Felice, F. Camastra, Kendon Model-based Gesture Recognition using Hidden Markov Model and Learning Vector Quantization, in Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds) Quantifying and Processing Biomedical and Behavioral Signals. WIRN 2017. Smart Innovation, Systems and Technologies, vol 103, 163-171, Springer, ISBN: 978-3-319-95094-5, doi:10.1007/978-3-319-95095-2 16 (Scholar Google: 2 citations: Scopus: 1 citation).
61. F. Camastra, A. Esposito, A. Staiano, Correlation Dimension-based Recognition of Simple Juggling Movements, in A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero (ed.), Multisciplinary approaches to neural computing, proc. of 26th Italian Workshop on Neural Networks, May 18-20, Vietri sul Mare, Italy, Smart Innovation, System and Technologies, 77-84, Springer, ISBN: 978-3-319-56903-1, doi:10.1007/978-3-319-56904-8 8 (2017) (Scholar Google: 1 citation).
62. D. De Felice, F. Camastra, Depth-based Hand Pose Recognizer using Learning Vector Quantization, in A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero (ed.), Multisciplinary approaches to neural computing, proc. of 26th Italian Workshop on Neural Networks, May 18-20, Vietri sul Mare, Italy, Smart Innovation, System and Technologies, 69-75, Springer, ISBN: 978-3-319-56903-1, doi: 10.1007/978-3-319-56904-8 7 (2017). (Scopus: 1 citation; Scholar Google: 2 citations)
63. N. Brancati, F. Camastra, Analysis of similarity measurements in CBIR using clustered Tamura features for biomedical images, Intelligent Interactive Multimedia Systems and Services 2016, Smart Innovation, System and Technologies, 55, 1-10, 2016. (Scopus: 1 citation; Scholar Google: 2 citations; WOS: 1 citation).
64. F. Camastra, A. Ciaramella, A. Placitelli, A. Staiano, Machine Learning-based Web Pages Categorization by Semantic Graphs, in S. Bassis, A. Esposito, F. C. Morabito (eds.), Advances in Neural Networks: Computational and Theoretical Issues proc. of 25th Workshop of Italian Neural Network Society (WIRN 2014), May 15-16 2014, Vietri sul Mare, Salerno, Italy, Smart Innovation, System and Technologies, 27, 75-82, Springer, ISBN: 978-3-319-18163-9 (2015) (Scholar Google: 9 citations, Scopus: 5 citations).
65. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms, in S. Bassis, A. Esposito, F. C. Morabito (eds.), Recent Advances of Neural Network Models and Applications, proc. of 24th Workshop of Italian Neural Network Society (WIRN 2013), May 23-25 2013, Vietri sul Mare, Salerno, Italy, Smart Innovation, System and Technologies, 26, 241-249, Springer, ISBN: 978-3-319-04128-5 (2014) (Scholar Google: 4 citations; Scopus: 1 citation).
66. F. Camastra, L. De Felice, A LVQ-based Hand Gesture Recognizer using a Data Glove, in B. Apolloni, S. Bassis, A. Esposito, F.C. Morabito (eds.), Neural Nets and Surroundings, Proc. of 23rd Workshop of Italian Neural Network Society, WIRN12, May 17-19, Vietri sul Mare, Salerno, Italy, Smart Innovation, System and Technologies, 19, 159-168, Springer, ISBN: 978-3-642-35466-3, (Scholar Google: 48 citations, Scopus: 28 citations), (2013).
67. F.Camastra, A.Verri, A Novel Kernel Method for Clustering, in B. Apolloni, M. Marinaro and R. Tagliaferri (eds.) Biological and Artificial Intelligence Environments. Proc. of 15th Workshop of Italian Neural Network Society WIRN04, September 14th-17th 2004, Perugia, Italy, Springer, pp. 245-250, ISBN: 1402034318, (2005) (short version of [18]). (WOS: 1 citation).
68. F. Camastra, A. Vinciarelli, A Neural Cursive Character Recognizer, in M. Marinaro and R. Tagliaferri (eds.) proc. of 12th Workshop of Italian Neural Network Society (WIRN01), May 17th-19th 2001, Vietri sul Mare, Italy, 172-177, Perspectives in Neural Computing Series, Springer, ISBN:1-85233-505-X, (2001) (Scholar Google: 1 citation, WOS: 1 citation)
69 F. Camastra, E. Cepollina, A.M. Colla, Word Recognition by MLP-based Character Spotting and Dynamic Programming, in M. Marinaro and R. Tagliaferri (eds.) proc. of 9th Workshop of Italian Neural Network Society (WIRN97), May 22nd - 24th 1997, Vietri sul Mare, Italy, pp. 183-188, Perspectives in Neural Computing Series, Springer, ISBN: 3-540-76157-8, (1997) (Scholar Google: 4 citations).
70. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, Neural Nets for hybrid on-line plant in M. Marinaro and R. Tagliaferri (eds.) proc. of 8th Workshop of Italian Neural Network Society (WIRN96), May 23rd -25th 1996, Vietri sul mare, Italy, 239-244, Perspectives in Neural Computing Series, Springer, ISBN: 3-540-76099-7, (1996).
71. S. Bruzzo, F. Camastra, A.M. Colla, M. Barabino, N. Bonavita, Neural-based Forecasting of Physical Measures in a Power Plant, in M. Marinaro and R. Tagliaferri (eds.) proc. of 7th Workshop of Italian Neural Network Society (WIRN95), Vietri sul Mare, Italy, May 18th - 20th 1995, World Scientific Publishing, ISBN: 981-02-2603-9, (1995).
International Refereed Conferences (17)
72. F.Camastra, A. Ciaramella, A. Casolaro, P. De Trino, A. Ferone, G. Hauber, G. Iannuzzo, V.M. Scarrica, A. Spoleto, A. Staiano, M.C. Vitale, An Integrated intelligent surveillance System for Industrial areas, proc. ofITAL-IA 2024, CEUR Workshop Proceedings Vo. 3762, 206-211, 2024.
73. P. Barra, F.Camastra, A. Ciaramella, C.G. De Vita, E. Di Nardo, R.Montella, G. Mellone V.M. Scarrica, A. Staiano, Safeguarding the Marine and Coastal environment with Artificial Intelligence, proc. of ITAL-IA 2024, CEUR Workshop Proceedings Vo. 3762, 510-515, 2024.
74. F. Camastra, A. Ciaramella, E. Di Nardo, A. Ferone, A. Maratea, R. Montella, A. Staiano AI-based Monitoring of Coastal and Marine Environment, CEUR Workshop Proceedings, 3486, 575-579, 2023 (Scopus: 2 citations: Scholar Google: 1 citation)
75. J.H. Giraldo Zuluaga, V. Scarrica, A. Staiano, F. Camastra, T. Bouwmans, Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation, Proceedings of 29th IEEE International Conference on Image Processing ICIP 2022, 16-20. (Scopus: 20 citations; Scholar Google: 27 citations) (2022).
76. F. Camastra, A. Ciaramella, S. Sposato and A. Staiano, A Fuzzy Rule Base Minimization Perspective in XAI, proc. of The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), 1-6. CEUR Workshop Proceedings Vol. 3074.
77. G. Diodati, A. Netti, V. Quaranta, F. Camastra, CIRA Acoustic Antenna Real-Time FPGA Beamforming Algorithm Validation, proc. of 7th Berlin Beamforming Conference, March 5-6 2018, Berlin, Germany.
78. G. Diodati, V. Quaranta, F. Tarallo, F. Camastra, V. Fiorillo, Pass-By-Noise Tests by means of CIRA Acoustic Antennas System, in proc. of 24th International Conference on Sound and Vibration (ICSV24), 23-27 July 2017, London (UK). (Scholar Google: 1 citation)
79. G. Diodati, V. Quaranta, F. Tarallo, F. Camastra, Acoustic Antenna Characterization for Pass-By-Noise Tests, in proc. of 23rd International Conference on Sound and Vibration (ICSV23), 10-14 July 2016, Athens (Greece). (Scopus: 1 citation)
80. A. Netti, G. Diodati, F. Camastra, V. Quaranta, A FPGA implementation of a real-time lter and sum Beamformer for Acoustic Antenna, in NTER-NOISE and NOISE-CON Congress and Conference Proceedings, August 9-12 2015, San Francisco, USA, 250(3), 3458-3469, Institute of Noise Control Engineering, (2015). (Scopus: 5 citations; Scholar Google: 10 citations)
81. F. Camastra, M. Spinetti, A. Vinciarelli, Cursive Character Challange: A New Benchmark for Machine Learning and Pattern Recognition Algorithms, Proc. of. 18th International Conference on Pattern Recognition (ICPR06), Vol. II, pp. 913-916, IEEE Press, ISBN: 0-7695-2521-0, (2006) ( Scopus: 43 citations; Scholar Google: 58 citations,WOS: 44 citations).
82. C. Scagliola, G. Nicchiotti, F. Camastra, Enhancing cursive word recognition performance by the integration of all the available information, in L.R. Schoemaker and S. Impedovo (eds.) proc. of 7th International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), 363-372, Amsterdam, September 11th-13th, 2000 (2000) (Scholar Google: 11 citations).
83. S. Bruzzo, F. Camastra, A.M. Colla, M. Rosso, M. Mazzotti, M. Morbidelli, A. Beltramini, Simulation and Neural Estimation of Desalination Process in proc. of 27th International Conference AUTOMATION96, November 26th-28th 1996, Milan, Italy (1996).
84. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, Neural hybrid on-line controllers in proc. of IEEE Mediterrean Symposium on New Direction on Control and Automation (MSCA'96), 11-16, June 10th-13th 1996, Maleme, Krete, Greece (1996).
85. S. Bruzzo, F. Camastra, A.M. Colla, Estimation of unmeasurable variables in a dynamical system by Resource Allocating Network, in proc. of the IEEE Symposium on Circuits and Systems (ISCAS 95), 1712-1715, Seattle, USA, April 29th - May 3rd 1995, IEEE, ISBN: 0-7803-2570-2, (1995) (Scholar Google: 3 citations).
86. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Neural State Estimators in a Power Plant in proc. of AMCA/IEEE International Workshop on Neural Networks Applied to Control and Image Processing (NNACIP94), Mexico-City, Mexico, November 7th- 11th 1994 (1994). (Scholar Google: 2 citations)
87. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Neural Networks for State Estimation in a H.P. Feedwater Line in proc. of 38th conference of the Italian Association for the Automation (ANIPLA94), October 1994, Perugia, Italy (1994).
88. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, T. Parisini, R. Zoppoli, Continuous Process State Estimation by Neural Nets: A case study in a power plant, in M. Marinaro and P.G. Morasso (eds.) proc. of the International Conference on Articial Neural Networks (ICANN'94), Sorrento, Italy, May 26th - 29th 1994, 1231-1234, Springer, ISBN: 0-387-19887-3, (1994).
89. F. Camastra, M. Del Canto, P. Piano, D. Sciarra, Cohesistence of opposite reasoning paradigms in the shell CIP in proc. of 2nd conference ofAIIA (Italian Association of Articial Intelligence), October 1991, Palermo, Italy, (1991).
90. F. Camastra, A. Della Ventura, P. Mussio, A. Rampini, Object's Location and Description in Natural Images in V. Cappellini and R. Marconi (eds.), in proc. of International Conference Advances in Image Processing and Pattern Recognition, December 10th -12th 1985, Pisa, Italy, Elsevier, ISBN: 0-444-70068-4, (1985).