Christian NAPOLI

Ricercatore di INFORMATICA [INF/01]
Ufficio: 325
Email: napoli@dmi.unict.it
Telefono: 095 7337233
Sito web: www.dmi.unict.it/napoli


Journals
[J1] Capizzi, G.; Lo Sciuto, G.; Napoli, C. & Woźniak, M. (2018), 'A novel training method to preserve
generalization of RBPNN classifiers applied to ECG signals diagnosis', Neural Networks, in press.
[J2] Capizzi, G.; Coco, S.; Lo Sciuto, G.& Napoli, C. (2018), 'A New Iterative FIR Filter Design Approach using
a Gaussian Approximation', IEEE Signal Processing Letters, online & in press.
[J3] Beritelli, F.; Capizzi, G.; Lo Sciuto, G.; Napoli, C. & Scaglione, F. (2018), ‘Rainfall Estimation Based on the
Intensity of the Received Signal in a LTE/4G Mobile Terminal by using a Probabilistic Neural Network’,
IEEE Access, online & in press.
[J4] Capizzi, G.; Sciuto, G. L.; Napoli, C. & Tramontana, E. (2017), 'Advanced and Adaptive Dispatch for Smart
Grids by means of Predictive Models', IEEE Transactions on Smart Grid, online & in press.
[J5] Capizzi, G.; Sciuto, G. L.; Napoli, C.; Shikler, R. & Woźniak, M. (2018), 'Optimizing Organic Solar Cells
Manufacturing Process by Means of AFM Measurements and Neural Networks’, Energies 11 (5), 1221.
[J6] Capizzi, G.; Sciuto, G. L.; Napoli, C.; & Tramontana, E. (2018), ' An advanced neural network based solution
to enforce dispatch continuity in smart grids’, Applied Soft Computing 62, 768--775
[J7] Beritelli, F.; Capizzi, G.; Lo Sciuto, G.; Napoli, C. & Scaglione, F. (2017), 'Automatic heart activity
diagnosis based on Gram polynomials and probabilistic neural networks', Biomedical Engineering Letters,
8 (1), 77--85.
[J8] Damasevicius, R.; Napoli, C.; Sidekerskien.e, T. & Woźniak, M. (2017), 'IMF mode demixing in EMD for
jitter analysis', Journal of Computational Science, 22, 240--252.
[J9] Woźniak, M.; Połap, D.; Napoli, C. & Tramontana, E. (2017), 'Application of Bio-Inspired Methods in
Distributed Gaming Systems', Information Technology And Control 46(1), 150--164.
[J10] Capizzi, G.; Sciuto, G. L.; Napoli, C.; Tramontana, E. & Woźniak, M. (2016), 'A Novel Neural Networks-
Based Texture Image Processing Algorithm For Orange Defects Classification', International Journal of
Computer Science & Applications 13(2), 45--60.
[J11] Capizzi, G.; Lo Sciuto, G.; Napoli, C. & Tramontana, E. (2016), 'A multithread nested neural network
architecture to model surface plasmon polaritons propagation', Micromachines 7(7), 110.
[J12] Napoli, C.; Pappalardo, G. & Tramontana, E. (2016), 'A Mathematical Model For File Fragment Diffusion
And A Neural Predictor To Manage Priority Queues Over Bittorrent', International Journal of Applied
Mathematics and Computer Science 26(1), 157--160.
[J13] Napoli, C. & Tramontana, E. (2016), 'Massively parallel WRNN reconstructors for spectrum recovery in
astronomical photometrical surveys', Neural Networks 83, 42--50.
[J14] Napoli, C.; Pappalardo, G.; Tina, G. M. & Tramontana, E. (2016), 'Cooperative Strategy for Optimal
Management of Smart Grids by Wavelet RNNs and Cloud Computing', IEEE Transactions on Neural
Networks and Learning Systems 27(8), 1672--1685.
[J15] Napoli, C.; Pappalardo, G.; Tramontana, E. & Zappalа, G. (2016), 'A Cloud-Distributed GPU Architecture
for Pattern Identification in Segmented Detectors Big-Data Surveys', The Computer Journal 59(3), 338-352.
[J16] Woźniak, M.; Połap, D.; Napoli, C. & Tramontana, E. (2016), 'Graphic object feature extraction system
based on Cuckoo Search Algorithm', Expert Systems with Applications 66, 20--31.
[J17] Borowik, G.; Woźniak, M.; Fornaia, A.; Giunta, R.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015), 'A
software architecture assisting workflow executions on cloud resources', International Journal of Electronics
and Telecommunications 61(1), 17-23.
[J18] Capizzi, G.; Sciuto, G. L.; Monforte, P. & Napoli, C. (2015), 'Cascade feed forward neural network-based
model for air pollutants evaluation of single monitoring stations in urban areas', International Journal of
Electronics and Telecommunications 61(4), 327--332.
[J19] Cicciarella, S.; Napoli, C. & Tramontana, E. (2015), 'Searching Design Patterns Fast by Using Tree
Traversals', International Journal of Electronics and Telecommunications 61(4), 321--326.
[J20] Fornaia, A.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015), 'An AOP-RBPNN approach to infer user
interests and mine contents on social media', Intelligenza Artificiale 9(2), 209--219.
[J21] Połap, D.; Wozniak, M.; Napoli, C. & Tramontana, E. (2015), 'Real-Time Cloud-based Game Management
System via Cuckoo Search Algorithm', International Journal of Electronics and Telecommunications 61(4),
333--338.
[J22] Polap, D.; Wozniak, M.; Napoli, C. & Tramontana, E. (2015), 'Is swarm intelligence able to create mazes?',
International Journal of Electronics and Telecommunications 61(4), 305--310.
[J23] Arlot, J.-E. & others (2014), 'The PHEMU09 catalogue and astrometric results of the observations of the
mutual occultations and eclipses of the Galilean satellites of Jupiter made in 2009', Astronomy &
Astrophysics 572(A120), 1--9.
[J24] Bonanno, F.; Capizzi, G.; Graditi, G.; Napoli, C. & Tina, G. (2012), 'A radial basis function neural network
based approach for the electrical characteristics estimation of a photovoltaic module', Applied Energy 97,
956--961.
[J25] Capizzi, G.; Napoli, C. & Bonanno, F. (2012), 'Innovative Second-Generation Wavelets Construction With
Recurrent Neural Networks for Solar Radiation Forecasting', IEEE Transactions on Neural Networks and
Learning Systems 23(11), 1805--1815

Proceedings
[P1] Lo Sciuto, G.; Capizzi, G.; Napoli, C.; Shikler, R.; Połap, D. & Woźniak, M. (2018): Exploiting OSC
Models by Using Neural Networks with an Innovative Pruning Algorithm, in L. Rutkowski; M.
Korytkowski; R. Scherer; R. Tadeusiewicz; L. Zadeh & J. Zurada, ed., 'International Conference on Artificial
Intelligence and Soft Computing', Springer, Zakopane, Poland, pp. 711-722.
[P2] Battiato, S.; Farinella, G. M.; Napoli, C.; Nicotra, G. & Riccobene, S. (2017), Recognizing Context for
Privacy Preserving of First Person Vision Image Sequences, in '19th International Conference on Image
Analysis and Processing', Springer, Catania, Italy, pp. 580–590.
[P3] Kapuściński, T.; Nowicki, R. K. & Napoli, C. (2017), Comparison of Effectiveness of Multi-objective
Genetic Algorithms in Optimization of Invertible S-Boxes, in L. Rutkowski; M. Korytkowski; R. Scherer; R.
Tadeusiewicz; L. Zadeh & J. Zurada, ed., 'International Conference on Artificial Intelligence and Soft
Computing', Springer, Zakopane, Poland, pp. 466–476.
[P4] Venckauskas, A.; Karpavicius, A.; Damaševičius, R.; Marcinkevičius, R.; Kapočiūte-Dzikiené, J. & Napoli,
C. (2017), Open class authorship attribution of Lithuanian Internet comments using one-class classifier, in
Federated Conference on Computer Science and Information Systems (FedCSIS), IEEE, Prague, Czech
Republic, pp. 373--382.
[P5] Wróbel, M.; Starczewski, J. T. & Napoli, C. (2017), Handwriting Recognition with Extraction of Letter
Fragments, in L. Rutkowski; M. Korytkowski; R. Scherer; R. Tadeusiewicz; L. Zadeh & J. Zurada, ed.,
'International Conference on Artificial Intelligence and Soft Computing', Springer, Zakopane, Poland, pp.
183--192.
[P6] Damasevicius, R.; Napoli, C.; Sidekerskien.e, T. & Woźniak, M. (2016), IMF remixing for mode demixing in
EMD and application for jitter analysis, in 'IEEE Symposium on Computers and Communication (ISCC)',
pp. 50--55.
[P7] Fornaia, A.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2016), Enhancing City Transportation Services
Using Cloud Support, in Damasevicius R. Dregvaite G., ed., 'International Conference on Information and
Software Technologies', Springer International Publishing, Druskininkai, Lithuania, pp. 695--708.
[P8] Gotleyb, D.; Sciuto, G. L.; Napoli, C.; Shikler, R.; Tramontana, E. & Woźniak, M. (2016), Characterisation
and modeling of organic solar cells by using radial basis neural networks, in Scherer R. Tadeusiewicz R.
Zadeh L. Zurada J. Rutkowski L., Korytkowski M., ed., 'International Conference on Artificial Intelligence
and Soft Computing', Springer International Publishing, Zakopane, Poland, pp. 91--103.
[P9] Kapuściński, T.; Nowicki, R. K. & Napoli, C. (2016), Application of Genetic Algorithms in the Construction
of Invertible Substitution Boxes, in Scherer R. Tadeusiewicz R. Zadeh L. Zurada J. Rutkowski L.,
Korytkowski M., ed., 'International Conference on Artificial Intelligence and Soft Computing', Springer
International Publishing, Zakopane, Poland, pp. 380--391.
[P10] Napoli, C. & Tramontana, E. (2016), A Cloud Oriented Support for Motion Detection in Video Surveillance
Systems Using Computational Intelligence, in Damasevicius R. Dregvaite G., ed., 'International Conference
on Information and Software Technologies', Springer International Publishing, Druskininkai, Lithuania, pp.
453--463.
[P11] Napoli, C.; Tramontana, E. & Verga, G. (2016), Extracting location names from unstructured italian texts
using grammar rules and mapreduce, in Damasevicius R. Dregvaite G., ed., 'International Conference on
Information and Software Technologies', Springer International Publishing, Druskininkai, Lithuania, pp.
593--601.
[P12] Starczewski, J. T.; Pabiasz, S.; Vladymyrska, N.; Marvuglia, A.; Napoli, C. & Woźniak, M. (2016), Self
organizing maps for 3D face understanding, in Springer International Publishing, ed., 'Lecture Notes in
Computer Science', Springer International Publishing, Zakopane, Poland, pp. 210--217.
[P13] Beritelli, F.; Capizzi, G.; Lo Sciuto, G.; Napoli, C.; Tramontana, E. & Woźniak, M. (2015), Reducing
interferences in wireless communication systems by mobile agents with recurrent neural networks-based
adaptive channel equalization, in 'SPIE proceedings'.
[P14] Bonanno, F.; Capizzi, G.; Sciuto, G. L. & Napoli, C. (2015), Wavelet recurrent neural network with semi-
parametric input data preprocessing for micro-wind power forecasting in integrated generation Systems, in
'Clean Electrical Power (ICCEP), 2015 International Conference on', pp. 602--609.
[P15] Capizzi, G.; Lo Sciuto, G.; Napoli, C.; Tramontana, E. & Wozniak, M. (2015), Automatic classification of
fruit defects based on co-occurrence matrix and neural networks, in 'Computer Science and Information
Systems (FedCSIS), 2015 Federated Conference on', pp. 861--867.
[P16] Fornaia, A.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015), An AO system for OO-GPU programming,
in '16th Workshop “From Object to Agents” (WOA15)', pp. 24-31.
[P17] Fornaia, A.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015), Using AOP neural networks to infer user
behaviours and interests, in '16th Workshop “From Object to Agents” (WOA15)', pp. 46-52.
[P18] Marszałek, Z.; Woźniak, M. Borowik, G.; Wazirali, R.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015),
Benchmark Tests on Improved Merge for Big Data Processing, in 'Asia-Pacific Conference on Computer
Aided System Engineering (APCASE)', IEEE, 14-16 July, Quito, Ecuador, pp. 96--101.
[P19] Napoli, C. & Tramontana, E. (2015), An Object-Oriented Neural Network Toolbox Based on Design
Patterns, in Giedre Dregvaite & Robertas Damasevicius, ed., 'Information and Software Technologies',
Springer International Publishing, , pp. 388-399.
[P20] Napoli, C.; Tramontana, E.; Lo Sciuto, G.; Woźniak, M.; Damasevicius, R. & Borowik, G. (2015),
Authorship Semantical Identification using Holomorphic Chebyshev Projectors, in 'Asia-Pacific Conference
on Computer Aided System Engineering (APCASE)', IEEE, 14-16 July, Quito, Ecuador, pp. 232--237.
[P21] Napoli, C.; Tramontana, E. & Wozniak, M. (2015), Enhancing Environmental Surveillance Against
Organised Crime with Radial Basis Neural Networks, in 'IEEE Symposium Series on Computational
Intelligence', pp. 1476--1483.
[P22] Napoli, C.; Pappalardo, G.; Tramontana, E.; Nowicki, R.; Starczewski, J. & Woźniak, M. (2015), Toward
Work Groups Classification Based on Probabilistic Neural Network Approach, in 'Artificial Intelligence and
Soft Computing', Springer International Publishing, , pp. 79-89.
[P23] Napoli, C.; Pappalardo, G.; Tramontana, E.; Borowik, G.; Połap, D. & Woźniak, M. (2015), Toward 2D
Image Classifier Based on Firefly Algorithm with Simplified Sobel Filter, in 'Asia-Pacific Conference on
Computer Aided System Engineering (APCASE)', pp. 185--189.
[P24] Nowak, B.; Nowicki, R.; Woźniak, M. & Napoli, C. (2015), Multi-class Nearest Neighbour Classifier for
Incomplete Data Handling, in 'Artificial Intelligence and Soft Computing', Springer International
Publishing, , pp. 469-480.
[P25] Połap, D.; Woźniak, M.; Napoli, C.; Tramontana, E. & Damaševičius, R. (2015), Is the Colony of Ants Able
to Recognize Graphic Objects?, in Giedre Dregvaite & Robertas Damasevicius, ed., 'Information and
Software Technologies', Springer International Publishing, , pp. 376-387.
[P26] Woźniak, M.; Połap, D.; Borowik, G. & Napoli, C. (2015), A First Attempt to Cloud-Based User Verification
in Distributed System, in 'Asia-Pacific Conference on Computer Aided System Engineering (APCASE)',
IEEE, 14-16 July, Quito, Ecuador, pp. 226--231.
[P27] Woźniak, M.; Połap, D.; Kosmider, L.; Napoli, C. & Tramontana, E. (2015), A Novel Approach Toward X–
RAY Images Classifier, in 'IEEE Symposium Series on Computational Intelligence', pp. 1635--1641.
[P28] Woźniak, M.; Połap, D.; Gabryel, M.; Nowicki, R.; Napoli, C. & Tramontana, E. (2015), Can We Process 2D
Images Using Artificial Bee Colony?, in 'Artificial Intelligence and Soft Computing', Springer International
Publishing, , pp. 660-671.
[P29] Wozniak, M.; Napoli, C.; Tramontana, E. & Capizzi, G. (2015), A multiscale image compressor with RBFNN
and Discrete Wavelet decomposition, in 'International Joint Conference on Neural Networks (IJCNN)', pp.
1219--1225.
[P30] Wozniak, M.; Polap, D.; Nowicki, R. K.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2015), Novel
approach toward medical signals classifier, in 'International Joint Conference on Neural Networks (IJCNN)',
pp. 1924--1930.
[P31] Bonanno, F.; Capizzi, G.; Sciuto, G.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2014), A Cascade Neural
Network Architecture Investigating Surface Plasmon Polaritons Propagation for Thin Metals in OpenMP, in
Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; LotfiA. Zadeh & JacekM.
Zurada, ed., 'Artificial Intelligence and Soft Computing', Springer International Publishing, , pp. 22-33.
[P32] Bonanno, F.; Capizzi, G.; Lo Sciuto, G.; Napoli, C.; Pappalardo, G. & Tramontana, E. (2014), A novel cloud-
distributed toolbox for optimal energy dispatch management from renewables in igss by using wrnn
predictors and gpu parallel solutions, in 'International Symposium on Power Electronics, Electrical Drives,
Automation and Motion (SPEEDAM)', pp. 1077--1084.
[P33] Bonanno, F.; Capizzi, G.; Coco, S.; Napoli, C.; Laudani, A. & Lo Sciuto, G. (2014), Optimal thicknesses
determination in a multilayer structure to improve the SPP efficiency for photovoltaic devices by an hybrid
FEM–Cascade Neural Network based approach, in 'Proceedings of IEEE International Symposium on Power
Electronics, Electrical Drives, Automation and Motion (SPEEDAM)', pp. 355-362.
[P34] Napoli, C.; Pappalardo, G. & Tramontana, E. (2014), An agent-driven semantical identifier using radial basis
neural networks and reinforcement learning, in 'XV Workshop "Dagli Oggetti agli Agenti"'.
[P35] Napoli, C.; Pappalardo, G. & Tramontana, E. (2014), Improving files availability for BitTorrent using a
diffusion model, in '23rd IEEE International WETICE Conference', pp. 191--196.
[P36] Napoli, C.; Pappalardo, G.; Tramontana, E.; Marszałek, Z.; Połap, D. & Woźniak, M. (2014), Simplified
firefly algorithm for 2D image key-points search, in 'Symposium on Computational Intelligence for Human-
like Intelligence (CHILI)', IEEE, , pp. 118--125.
[P37] Napoli, C.; Pappalardo, G. & Tramontana, E. (2013), A hybrid neuro–wavelet predictor for qos control and
stability, in 'AI*IA 2013: Advances in Artificial Intelligence', Springer International Publishing, , pp. 527-
538.
[P38] Napoli, C.; Pappalardo, G. & Tramontana, E. (2013), Using modularity metrics to assist move method
refactoring of large systems, in 'International Conference on Complex, Intelligent, and Software Intensive
Systems (CISIS)', pp. 529--534.
[P39] Bonanno, F.; Capizzi, G.; Gagliano, A. & Napoli, C. (2012), Optimal management of various renewable
energy sources by a new forecasting method, in 'Proceedings of IEEE International Symposium on Power
Electronics, Electrical Drives, Automation and Motion (SPEEDAM)', pp. 934-940.
[P40] Bonanno, F.; Capizzi, G. & Napoli, C. (2012), Some remarks on the application of RNN and PRNN for the
charge-discharge simulation of advanced Lithium-ions battery energy storage, in 'Proceedings of IEEE
International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)', pp.
941-945.
[P41] Capizzi, G.; Napoli, C. & Paternт, L. (2012), An innovative hybrid neuro-wavelet method for reconstruction
of missing data in astronomical photometric surveys, in 'Artificial Intelligence and Soft Computing', Springer
Berlin Heidelberg, , pp. 21--29.
[P42] Bonanno, F.; Capizzi, G. & Napoli, C. (2011), Hybrid neural networks architectures for SOC and voltage
prediction of new generation batteries storage, in 'Proceedings of IEEE international conference on clean
electrical power (ICCEP)', pp. 341-344.
[P43] Capizzi, G.; Bonanno, F. & Napoli, C. (2011), Recurrent neural network-based control strategy for battery
energy storage in generation systems with intermittent renewable energy sources, in 'IEEE international
conference on clean electrical power (ICCEP)', pp. 336--340.
[P44] Capizzi, G.; Bonanno, F. & Napoli, C. (2010), A new approach for Lead-Acid batteries modeling by local
cosine, in 'Proceedings of IEEE International Symposium on Power Electronics Electrical Drives Automation
and Motion (SPEEDAM)', pp. 1074-1079.
[P45] Capizzi, G.; Bonanno, F. & Napoli, C. (2010), A wavelet based prediction of wind and solar energy for long-
term simulation of integrated generation systems, in 'Power Electronics Electrical Drives Automation and
Motion (SPEEDAM), 2010 International Symposium on', pp. 586--592.
[P46] Napoli, C.; Bonanno, F. & Capizzi, G. (2010), Exploiting solar wind time series correlation with
magnetospheric response by using an hybrid neuro-wavelet approach, in 'IAU Symposium 274', Cambridge
University Press, , pp. 156–158.
[P47] Napoli, C.; Bonanno, F. & Capizzi, G. (2010), An hybrid neuro-wavelet approach for long-term prediction of
solar wind, in 'IAU Symposium 274', pp. 247–249.

Editorships
[E1] Capizzi, G.; Damaševičius, R.; Lopata, A.; Krilavičius, T; Napoli, C. & Woźniak, M., ed., (2018),
International Conference for Young Researchers in Informatics, Mathematics and Engineering, Vol. 2152,
CEUR-WS, Kaunas, Lithuania.
[E2] Capizzi, G.; Damaševičius, R.; Lopata, A.; Krilavičius, T; Napoli, C. & Woźniak, M., ed., (2018),
International Conference on Information Technologies, Vol. 2145, CEUR-WS, Kaunas, Lithuania.
[E3] Capizzi, G.; Damaševičius, R.; Lopata, A.; Krilavičius, T; Napoli, C. & Woźniak, M., ed., (2018),
Symposium for Young Scientists in Technology, Engineering and Mathematics, Vol. 2147, CEUR-WS,
Gliwice, Poland.
[E4] Napoli, C.; Tramontana, E. & Woźniak, M., ed., (2017), International Conference for Young Researchers in
Informatics, Mathematics and Engineering, Vol. 1852, CEUR-WS, Kaunas, Lithuania.
[E5] Krilavičius, T.; Lopata, A.; Napoli, C. & Woźniak, M., ed., (2017), IVUS International Conference on
Information Technology, Vol. 1856, CEUR-WS, Kaunas, Lithuania.
[E6] Damaševičius, R.; Napoli, C.; Tramontana, E. & Woźniak, M., ed., (2017), Symposium for Young Scientists
in Technology, Engineering and Mathematics, Vol. 1853, CEUR-WS, Kaunas, Lithuania.
[E7] Damaševičius, R.; Napoli, C.; Tramontana, E. & Woźniak, M., ed., (2016), International Conference for
Young Researchers in Informatics, Mathematics and Engineering, Vol. 1712, CEUR-WS, Catania, Italy.
[E8] Damaševičius, R.; Napoli, C.; Tramontana, E. & Woźniak, M., ed., (2016), Symposium for Young Scientists
in Technology, Engineering and Mathematics, Vol. 1730, CEUR-WS, Gliwice, Poland.
[E9] Damaševičius, R.; Napoli, C.; Tramontana, E. & Woźniak, M., ed., (2015), Symposium for Young Scientists
in Technology, Engineering and Mathematics, Vol. 1543, CEUR-WS, Catania, Italy.

Anno accademico  

Wavelet Analisys: 

Data analysis and compression, noise reduction,
Wigner-Ville kernels, time-frequency analysis, feature extraction

Neural Networks:  Model extraction, predictions and forecast, time series analysis,
decision support systems, classification, predictive analytics
Artificial Intelligence:  Machine learning, dynamical systems and mathematical simulations,
genetic and evolutionary algorithms, feature analysis
High Performances:  High Performance Computing, GPU computing, Cloud Computing,
Distributed Systems, computer aided numerical analysis
Networking:  Ad hoc networks, emergecy network deployment and management,
automatic routing protocols, network as a service
Bioinformatics:  Computational biological models, cognitive analysis,
brain and neural models, nanodrugs and micromachines
17/09/2019
SPOSTAMENTO PROVA SCRITTA ARCHITETTURA DEGLI ELABORATORI

Si avvisano gli studenti del corso di Architettura degli Elaboratori (canale M-Z) che per cause di forza maggiore la prova scritta per il secondo appello di settembre è stata rinviata a venerdì 27 settembre 2019 in aula 22.