Publications
Publications
Volumes
[V1] Abraham,
J. M. Benitez Sánchez, F. Herrera, V. Loia, F. Marcelloni, S. Senatore, Proceedings
of ISDA’09, IEEE Computer Society Press, Pisa, ITALY, 2009.
[V2] A.E.
Hassanien, A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli, T-P Hong, Proceedings
of ISDA’10, IEEE Press, Cairo, Egypt, 2010.
[V3] S.
Ventura, A. Abraham, K. Cios, C. Romero, F. Marcelloni, J.M. Benítez, E.
Gibaja, Proceedings of ISDA’11, IEEE Press, Cordoba, Spain, 2011.
Special Issues
[S1] F.
Herrera, F. Marcelloni, V. Loia, Special Issue on Intelligent Systems Design
and Applications (ISDA 2009), International Journal of Uncertainty,
Fuzziness and Knowledge-Based Systems, World Scientific, Guest Editors’ Introduction,
Vol 18, N. 4, 2010, pp. v-vi.
[S2] José
Manuel Benítez, Vincenzo Loia, Francesco Marcelloni, Special Issue on Advances
in Intelligent Systems, International Journal of Hybrid Intelligent Systems,
IOS Press, Guest Editors’ Introduction, vol. 7, N. 4, 2010, p. 237.
[S3] K.
J. Cios, C. Romero, J.M. Benitez, F. Marcelloni, Special Issue on Intelligent
Systems Design and Applications (ISDA 2011), Integrated Computer-Aided Engineering, IOS Press, vol. 20, N. 3,
2013, pp. 199.
[S4] F.
Marcelloni, D. Puccinelli, A. Vecchio, Special Issue on “Sensing and Mobility
in Pervasive Computing”, Journal of
Ambient Intelligence and Humanized Computing, Springer, vol. 5, N. 3, pp.
263-264.
International Journals
[J1]
B. Lazzerini, F. Marcelloni, L.M. Reyneri, “Beatrix: a
self-learning system for off-line recognition of handwritten texts”, Pattern Recognition Letters, vol. 18, n.
6, Elsevier, 1997, pp. 583-594.
[J2]
G.
Frosini, B. Lazzerini, F. Marcelloni, “Performing automatic exams”, Computers & Education, vol. 31, n.
3, Pergamon, 1998, pp. 281-300.
[J3]
B. Lazzerini, A. Maggiore, F. Marcelloni,
“Classification of odour samples from a multisensor array using a new
linguistic fuzzy method”, IEE Electronics
Letters, vol. 34, n. 23, IEE, 1998, pp. 2229-2231.
[J4]
G. Dini, F. Failli, B. Lazzerini, F. Marcelloni,
“Generation of optimized assembly sequences using genetic algorithms”, Annals
of the CIRP – Manufacturing Technology, Hallwag Publ Ltd, Berne, Switzerland,
downloadable from Elsevier, vol. 48, n. 1,
1999, pp. 17-20.
[J5]
B. Lazzerini, F. Marcelloni,
“Assembly planning based on genetic algorithms”, International Journal of Knowledge-Based Intelligent Engineering
Systems, IOS Press, vol. 3, n. 4, 1999, pp. 200-204.
[J6]
B. Lazzerini, F. Marcelloni, “Some considerations on
input and output partitions to produce meaningful conclusions in fuzzy
inference”, Fuzzy Sets and Systems,
Elsevier, vol. 113, n. 2, 2000, pp. 221-235.
[J7]
B. Lazzerini, F. Marcelloni, “Reducing computation
overhead in MISO fuzzy systems”, Fuzzy
Sets and Systems, vol. 113, n. 3, Elsevier, 2000, pp. 485-496.
[J8]
B. Lazzerini, F. Marcelloni, “A
linguistic fuzzy recogniser of off-line handwritten characters”, Pattern Recognition Letters, Elsevier,
vol. 21, n. 4,
2000, pp. 319-327.
[J9]
B. Lazzerini, F. Marcelloni,
“Counteracting drift of olfactory sensors by appropriately selecting features”,
IEE Electronics Letters, vol.
36, n. 6, IEE, 2000, pp. 509-510.
[J10]
M. Aksit, F. Marcelloni, B. Tekinerdogan, “Developing
object-oriented frameworks using domain models”, ACM Computing Surveys, vol. 32, n. 1es, ACM, 2000, pp. 1-5.
[J11]
B. Lazzerini, F. Marcelloni, “A
genetic algorithm for generating optimal assembly plans”, Artificial Intelligence in Engineering, Elsevier, vol. 14, n. 4, 2000, pp. 319-329.
[J12]
D. Dumitrescu, B. Lazzerini, F.
Marcelloni, “A fuzzy hierarchical classification system for olfactory signals”,
Pattern Analysis and Applications,
Springer-Verlag, vol. 3, n. 4, 2000, pp. 325-334.
[J13]
F. Marcelloni, M. Aksit,
“Improving object-oriented methods by using fuzzy logic”, ACM Applied
Computing Review, vol. 8, n. 2, 2000, pp. 14-23.
[J14]
M. Aksit, F. Marcelloni,
“Deferring elimination of design alternatives in object-oriented methods”, Concurrency and Computation – Practice and
Experience, John Wiley & Sons, Inc., vol. 13, n. 14, 2001, pp.
1247-1279.
[J15]
B. Lazzerini, F. Marcelloni, “A
fuzzy approach to 2-D shape recognition”, IEEE
Transactions on Fuzzy Systems, vol. 9, n. 1, 2001, pp. 5-16.
[J16]
F. Di Francesco, B. Lazzerini,
F. Marcelloni, G. Pioggia, “An electronic nose for odour annoyance assessment”,
Atmospheric Environment, Pergamon, vol. 35, n. 7, 2001, pp. 1225-1234.
[J17]
B. Lazzerini, A. Maggiore, F.
Marcelloni, “FROS: a fuzzy logic-based recogniser of olfactory signals”, Pattern
Recognition, Pergamon, vol. 34, n. 11, 2001, pp. 2215-2226.
[J18]
F. Marcelloni, “Recognition of olfactory signals based
on supervised fuzzy c-means and k-NN algorithms”, Pattern Recognition
Letters, Elsevier, vol. 22, n. 9, 2001, pp. 1007-1019.
[J19]
F. Marcelloni, M. Aksit,
“Leaving inconsistency using fuzzy logic”, Information and Software
Technology, Elsevier, vol. 43, n. 12, 2001, pp.725-741.
[J20]
B. Lazzerini, F. Marcelloni,
“Feature selection based on similarity”, IEE Electronics Letters, vol.
38, n. 3, 2002, pp. 121-122.
[J21]
B. Lazzerini, F. Marcelloni,
“Classification based on neural similarity”, IEE Electronics Letters,
vol. 38, n. 15, 2002, pp. 810-812.
[J22]
F. Marcelloni, “Feature selection based on a modified
fuzzy C-means algorithm with supervision”, Information Sciences,
Elsevier, vol. 151, 2003, pp. 201-226.
[J23]
F. Marcelloni, M. Aksit, “Fuzzy logic-based
object-oriented methods to reduce quantization error and contextual bias
problems in software development”, Fuzzy Sets and Systems, Elsevier,
vol. 145, n. 1, 2004, pp. 57-80.
[J24]
P. Corsini, B. Lazzerini, F. Marcelloni, “A fuzzy
relational clustering algorithm based on a dissimilarity measure extracted from
data,” IEEE Transactions on Systems, Man and Cybernetics Part B, vol.
34, n. 1, 2004, pp. 775-782.
[J25]
M. Cococcioni, G. Corsini, B. Lazzerini, F.
Marcelloni, “Approaching the ocean color problem using fuzzy rules”, IEEE
Transactions on Systems, Man and Cybernetics Part B, vol. 34, n. 3, 2004,
pp. 1360-1373.
[J26]
B. Lazzerini, F. Marcelloni, G. Marola, “Calibration
of positron emission tomograph detector modules using a new neural method,” IEE
Electronics Letters, vol. 40, n. 6, 2004, pp.360-361.
[J27]
P. Corsini, B. Lazzerini, F. Marcelloni, “A new fuzzy
relational clustering algorithm based on the fuzzy C-means algorithm”, Soft Computing - A Fusion of Foundations,
Methodologies and Applications,
Springer, vol. 9, n. 6, 2005, pp. 439-447.
[J28]
P. Corsini, B. Lazzerini, F. Marcelloni, “Combining
supervised and unsupervised learning for data clustering,” Neural Computing
and Applications, Springer Verlag, vol. 15, n. 3-4, 2006, pp. 289-297.
[J29]
P. Corsini, F. Marcelloni, “A
fuzzy system for profiling Web portal users from Web access log”, Journal
of Intelligent & Fuzzy Systems,
IOS Press, Vol.
17, n. 5, 2006, pp 503-516.
[J30]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “A novel
approach to fuzzy clustering based on a dissimilarity relation extracted from
data using a TS System”, Pattern Recognition, Elsevier, Vol. 39, n. 11,
2006, pp. 2077-2091.
[J31]
B. Lazzerini, F. Marcelloni, “A hierarchical fuzzy
clustering-based system to create user profiles”, Soft Computing - A Fusion
of Foundations, Methodologies and Applications, Springer Verlag, Vol. 11,
n. 2, 2007, pp. 157-168.
[J32]
M. Cococcioni, B. Lazzerini, F. Marcelloni,
“Estimating the concentration of optically active constituents of sea water by
Takagi-Sugeno models with quadratic rule consequents”, Pattern Recognition,
Elsevier, Vol. 40, n. 10, 2007, pp. 2846-2860.
[J33]
M. Cococcioni, P. Ducange, B. Lazzerini, F.
Marcelloni, “A Pareto-based multi-objective evolutionary approach to the
identification of Mamdani fuzzy systems,” Soft Computing - A Fusion of
Foundations, Methodologies and Applications, Springer Verlag, Vol. 11, n.
11, 2007,
pp. 1013-1031.
[J34]
A. Bechini, M.G.C.A Cimino, F. Marcelloni, A. Tomasi,
“Patterns and technologies for enabling supply chain traceability through
collaborative e-business,” Information and Software Technology,
Elsevier, Vol. 50, n. 4, 2008, 342-359.
[J35]
S. Croce, F. Marcelloni, M. Vecchio, “Reducing power
consumption in wireless sensor networks using a novel approach to data
aggregation,” The Computer Journal, Oxford University Press, Vol. 51, n.
2, 2008, pp. 227-239.
[J36]
A. Botta, B. Lazzerini, F. Marcelloni, “Context
adaptation of Mamdani fuzzy rule-based systems”, International Journal of
Intelligent Systems, Wiley, Vol. 23, No. 4, 2008, pp. 397-418.
[J37]
F. Marcelloni, M. Vecchio, “A simple algorithm for
data compression in wireless sensor networks”, IEEE Communications Letters,
IEEE, Vol. 12, n. 6, 2008, pp. 411-413.
[J38]
M. Cococcioni, G. Corsini, B. Lazzerini, F.
Marcelloni, “Solving the ocean color inverse problem by using evolutionary
multi-objective optimization of neuro-fuzzy systems”, International Journal
of Knowledge-Based and Intelligent Engineering Systems, IOS Press, Vol. 12,
N. 5-6, 2008, pp. 339-355.
[J39]
A. Botta, B. Lazzerini, F. Marcelloni, D. Stefanescu,
“Context adaptation of fuzzy systems through a multi-objective evolutionary
approach based on a novel interpretability index”, Soft Computing - A Fusion
of Foundations, Methodologies and Applications, Springer Verlag, Vol. 13,
N. 5, 2009, pp. 437-449.
[J40]
M.G.C.A. Cimino, W. Pedrycz, B. Lazzerini, F.
Marcelloni, “Using multilayer perceptrons as receptive fields in the design of
neural networks”, Neurocomputing, Elsevier, Vol. 72, 2009, pp.
2536-2548.
[J41]
F. Marcelloni, Germano Resconi, Pietro Ducange,
“Morphogenetic approach to system identification”, International Journal of
Intelligent Systems, Wiley, Vol. 24, 2009, pp. 955-975.
[J42]
F. Marcelloni, M. Vecchio, “An efficient lossless
compression algorithm for tiny nodes of monitoring wireless sensor networks”, The
Computer Journal,
Oxford University Press, Vol. 52, N. 8, 2009, pp.
969-987.
[J43]
R. Alcalà, P. Ducange, F. Herrera, B. Lazzerini and F.
Marcelloni, “A
multi-objective evolutionary approach to concurrently learn rule and data bases
of linguistic fuzzy rule-based systems”, IEEE Transactions on Fuzzy Systems, Vol. 17, No. 5, 2009, pp.
1106-1122.
[J44]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Learning Concurrently Partition Granularities and Rule Bases of Mamdani Fuzzy
Systems in a Multi-Objective
Evolutionary Framework”, International Journal of Approximate Reasoning,
Elservier, Vol. 50, No. 7, 2009, pp. 1066-1080.
[J45]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Multi-objective Evolutionary Learning of Granularity, Membership Function
Parameters and Rules of Mamdani Fuzzy Systems”, Evolutionary Intelligence,
Springer, vol. 2, N. 1-2, 2009, pp. 21-37.
[J46]
P. Ducange, B. Lazzerini, F. Marcelloni,
“Multi-objective Genetic Fuzzy Classifiers for Imbalanced and Cost-sensitive
Datasets”, Soft Computing - A Fusion of Foundations, Methodologies and
Applications, Springer, vol. 14, N. 10, 2010, pp. 713-728.
[J47]
B. Lazzerini, F. Marcelloni, M. Vecchio, “A
Multi-Objective Evolutionary Approach to Image Quality/Compression Trade-Off in
JPEG Baseline Algorithm”, Applied Soft Computing, Elsevier, vol. 10,
2010, pp. 548-561.
[J48]
F. Marcelloni, M. Vecchio, “Enabling Energy-Efficient
and Lossy-Aware Data Compression in Wireless Sensor Networks By Multi-Objective
Evolutionary Optimization”, Information Sciences, vol. 180, pp.
1924-1941, 2010.
[J49]
A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini and F.
Marcelloni, “A Situation-Aware Resource Recommender based on Fuzzy and Semantic
Web Rules,” International Journal of Uncertainty, Fuzziness and
Knowledge-Based Systems, World Scientific, Vol. 18, N. 4, 2010, pp.
411-430.
[J50]
F. Marcelloni, M. Vecchio, “A Two-Objective
Evolutionary Approach to Design Lossy Compression Algorithms for Tiny Nodes of
Wireless Sensor Networks”, Evolutionary Intelligence, Springer, Vol. 3,
N. 3-4, 2010, pp. 137-153.
[J51]
G. Bombara, M. Cococcioni, B. Lazzerini, F.
Marcelloni, “S-NNLS:
an Efficient Non-Negative Least Squares Algorithm for Sequential Data”, International
Journal for Numerical Methods in Biomedical Engineering, Wiley, vol. 27, N.
5, 2011, pp. 770-773.
[J52]
M. Cococcioni, B. Lazzerini, F. Marcelloni, “On
Reducing Computational Overhead in Multi-Objective Genetic Takagi-Sugeno Fuzzy
Systems”, Applied Soft Computing, Elsevier, Vol. 11, N. 1, 2011, pp.
675-688.
[J53]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Learning Concurrently Data and Rule Bases of Mamdani Fuzzy Rule-based Systems
by Exploiting a Novel Interpretability Index,” Soft Computing - A Fusion of
Foundations, Methodologies and Applications, Springer, Vol.
15, 2011, pp. 1981-1998.
[J54]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Learning Knowledge Bases of Multi-Objective Evolutionary Fuzzy Systems by
Simultaneously Optimizing Accuracy, Complexity and Partition Integrity”, Soft
Computing - A Fusion of Foundations, Methodologies and Applications,
Springer, Vol. 15, N. 12, 2011, pp. 2335-2354.
[J55]
M.G.C.A. Cimino, F. Marcelloni, “Autonomic Tracing of
Production Processes with Mobile and Agent-based Computing”, Information
Sciences, Elsevier, Vol. 181, 2011, pp. 935-953.
[J56]
M. Antonelli, M. Cococcioni, B. Lazzerini, F.
Marcelloni, “Computer-Aided Detection of Lung Nodules based on Decision Fusion
Techniques,” Pattern Analysis and Applications, Vol. 14, 2011, pp.
295-310.
[J57]
M. Vecchio, R. López Valcarce, F. Marcelloni, “A
Two-Objective Evolutionary Approach based on Topological Constraints for Node
Localization in Wireless Sensor Networks”, Applied Soft Computing,
Elsevier, Vol. 12, N. 7, 2012, pp. 1891-1901.
[J58]
M. Antonelli, P. Ducange, F. Marcelloni, “Genetic
Training Instance Selection in Multi-Objective Evolutionary Fuzzy Systems: A
Co-evolutionary Approach,” IEEE Transactions on Fuzzy Systems, Vol.
20, N. 2, 2012, pp. 276-290.
[J59]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, A.
Ciaramella, “An Adaptive Rule-Based Approach for Managing Situation-Awareness,”
Expert Systems with Applications, Elsevier, Vol. 39, N. 12, 2012, pp.
10796-10811.
[J60]
M.G.C.A. Cimino, F. Marcelloni, “An Efficient
Model-Based Methodology for Developing Device-Independent Mobile Applications,”
Journal of Systems Architecture, Elsevier, Vol. 58, 2012, pp. 286-304.
[J61]
G. Castellano, M.G.C.A. Cimino, A.M. Fanelli, B.
Lazzerini, F. Marcelloni, M.A. Torsello, “A Collaborative Situation-Aware
Scheme based on an Emergent Paradigm for Mobile Resource Recommenders,” Journal
of Ambient Intelligence and Humanized Computing, Springer, Vol. 4, N. 4,
2013, pp. 421-437, DOI: 10.1007/s12652-012-0126-y.
[J62]
M. Antonelli, P. Ducange, F. Marcelloni, "An
Efficient Multi-Objective Evolutionary Fuzzy System for Regression
Problems", International Journal of
Approximate Reasoning, Elsevier, Vol. 54, N. 9, 2013, pp. 1434-1451.
[J63]
M. Fazzolari, B. Giglio, R. Alcalà, F. Marcelloni, F.
Herrera, “A study on the Application of Instance Selection Techniques in
Genetic Fuzzy Rule-Based Classification Systems: Accuracy-Complexity
Trade-Off”, Knowledge-Based Systems,
Vol. 54, 2013, pp. 32-41.
[J64]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, W.
Pedrycz, “Genetic Interval Neural Networks for Granular Data Regression”, Information
Sciences, Vol. 257, 2014, pp. 313-330.
[J65]
G. Castellano, M.G.C.A. Cimino, A.M. Fanelli, B.
Lazzerini, F. Marcelloni, M.A. Torsello, "A Multi-agent System for
Enabling Collaborative Situation Awareness via Position-based Stigmergy and
Neuro-fuzzy Learning", Neurocomputing,
Elsevier, Vol. 135, 2014, pp. 86-97.
[J66]
M. Vecchio, R. Giaffreda, F. Marcelloni, “Adaptive
Lossless Entropy Compressors for Tiny IoT Devices”, IEEE Transactions on Wireless Communications, Vol. 13, N. 2, 2014,
pp. 1088-1100.
[J67]
P. Ducange, F. Marcelloni, M. Antonelli, “A Novel
Approach based on Finite State Machines with Fuzzy Transitions for
Non-Intrusive Home Appliance Monitoring,” IEEE
Transactions on Industrial Informatics, Vol. 10, N. 2, 2014, pp. 1185-1197.
[J68]
M. Antonelli, P. Ducange, F. Marcelloni, “An
Experimental Study on Evolutionary Fuzzy Classifiers Designed for Managing
Imbalanced Datasets,” Neurocomputing,
Elsevier, Vol. 146, pp. 125-136.
[J69]
M. Antonelli, P. Ducange, F. Marcelloni, “A Fast and
Efficient Multi-Objective Evolutionary Learning Scheme for Fuzzy Rule-based
Classifiers,” Information Sciences, Elsevier,
Vol. 283, pp. 36-54.
[J70]
G. Anastasi, P. Bruschi, F. Marcelloni, “‘U-Sense’, A
Cooperative Sensing System for Monitoring Air Quality in Urban Areas”, ERCIM News, ISSN 0926-4981, July 2014,
No. 98, pp.34-35.
[J71]
M. Antonelli, P. Ducange, F. Marcelloni, A. Segatori,
“A Novel Associative Classification Model based on a Fuzzy Frequent Pattern
Mining Algorithm,” Expert Systems with Applications, Elsevier, Vol. 42, 2015, pp. 2086-2097.
[J72]
E. D’Andrea, P. Ducange, B. Lazzerini, F. Marcelloni,
“Real-Time Detection of Traffic from Twitter Stream Analysis,” IEEE Transactions on Intelligent
Transportation Systems, Vol. 16, No. 4, 2015, DOI 10.1109/TITS.2015.2404431,
pp. 2269-2283.
[J73]
M. Antonelli, P. Ducange, F. Marcelloni, A. Segatori,
“On the Influence of Feature Selection in Fuzzy Rule-based Regression Model Generation,”
Information Sciences, Elsevier,
Vol. 329, 2016, DOI:10.1016/j.ins.2015.09.045, pp. 649-669.
[J74]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Multi-Objective Evolutionary Design of Granular Rule-based Classifiers,” Granular Computing, Elsevier,
accepted for publication.
[J75]
A. Bechini, F. Marcelloni, A. Segatori, “A MapReduce
Solution for Associative Classification of Big Data,” Information Sciences, Elsevier,
Vol. 332, 2016, DOI: 10.1016/j.ins.2015.10.041, pp. 33-55.
[J76]
M. Antonelli, D. Bernardo, H. Hagras, F. Marcelloni,
“Multi-Objective Evolutionary Optimization of Type-2 Fuzzy Rule-based Systems
for Financial Data Classification,” IEEE Transactions on Fuzzy Systems, accepted with minor revision.
Book chapters
[BC1]
M. Aksit, B. Tekinerdogan, F. Marcelloni, L. Bergmans,
“Deriving frameworks from domain knowledge”, in: Building Application Frameworks: Object-Oriented Foundations of
Framework Design, M. E. Fayad, D. C. Schmidt e R E. Johnson, Eds., John
Wiley & Sons, Inc., 1999, pp. 169-198.
[BC2]
B. Lazzerini, F. Marcelloni, L.M. Reyneri, “A
neuro-fuzzy system for off-line recognition of handwritten texts”, in: Recent Research Developments in Pattern
Recognition, Vol. 1, Transworld Research Network, Kerala, India, 2000, pp.
199-218.
[BC3]
G. Tselentis, F. Marcelloni, T. Martin, L.Sensi,
“Odour Classification based on Computational Intelligence Techniques”, in:
Advances in Computational Intelligence and Learning, Methods and Applications,
H-J. Zimmermann, G. Tselentis, M. van Someren, G. Dounias, Eds., International
Series in Intelligent Technologies, Kluwer Academic Publishers, pp. 383-399,
2002.
[BC4]
F. Marcelloni, M.Aksit, “Automating Software
Development Process Using Fuzzy Logic”, in: Soft Computing in Software
Engineering, E. Damiani, L. Jain, M. Madravio (Eds), Springer-Verlag, Collana: Studies in Fuzziness and Soft Computing, Vo. 159, pp. 97-124, 2004.
[BC5]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “Fuzzy
clustering based on dissimilarity relations extracted from data”, J. V. de
Oliveira, W. Pedrycz (Eds), Advances in Fuzzy Clustering and Its
Applications, John Wiley and Sons, Chichester, England, 2007, pp. 265-283.
[BC6]
M. Cococcioni, B. Lazzerini, F. Marcelloni, “Towards
Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High
Dimensional Problems”, Computational Intelligence in Expensive Optimization
Problems, Springer Series Studies in Evolutionary Learning and Optimization (ELO),
Springer-Verlag, 2010, pp. 397-422.
[BC7]
F. Marcelloni, M. Vecchio, “Enabling compression in
tiny wireless sensor nodes”, Wireless Sensor Networks, Suraiya Tarannum (Ed.),
ISBN: 978-953-307-325-5, I-Tech Education and Publishing KG, Kirchengasse 43/3,
1070 Vienna, Austria, EU, 2011, pp. 1-20.
[BC8]
M.G.C.A. Cimino, F. Marcelloni, “Enabling traceability
in the wine supply chain”, Methodologies and Technologies for Networked
Enterprises, Springer Service Science series,
New York, NY, vol. 7200, 2012, pp. 433-449.
[BC9]
F. Marcelloni, M. Vecchio, “Exploiting Multi-Objective
Evolutionary Algorithms for Designing Energy-efficient Solutions to Data
Compression and Node Localization in Wireless Sensor Networks,” in Evolutionary
based solutions for green computing, Studies in Computational Intelligence,
Springer, New York, NY, Vol. 432, 2013, pp. 227-255.
[BC10] A.
Bechini, F. Marcelloni, A. Segatori, “Low-Effort Support to Efficient Urban
Parking in a Smarty City Perspective”, in Advances
onto the Internet of Things, Advances in Intelligent Systems and Computing
Series, Springer, Vol. 260, 2014, pp 233-252.
[BC11] M.
Antonelli, P. Ducange, F. Marcelloni, “Multi-objective Evolutionary Design of
Fuzzy Rule-based Systems”, Handbook on Computational Intelligence, Edited by P.
Angelov, World Scientific, 2016, pp. 627-662.
National Journals
[NJ1] G. Frosini, B. Lazzerini, F.
Marcelloni, “Un sistema esperto per la gestione degli allarmi”, Rivista di Informatica, Vol. XXIV,
N. 1, January-March 1994, pp. 43-60.
[NJ2]
B. Lazzerini, F. Marcelloni, L.M.
Reyneri, “Integrazione di tecniche neuronali e di analisi del contesto per il
riconoscimento automatico del testo manoscritto”, Rivista di Informatica, Vol. XXVIII,
N. 1, January-April, 1998, pp. 55-73.
Books
[B1] G. Frosini, F. Marcelloni, Regole di corrispondenza Assembler-C++,
ETS, 1999.
[B2]
G.
Frosini, F. Marcelloni, Calcolatori Elettronici - Volume III - Regole di
Corrispondenza tra C e Assembler,
2002.
Chapters in National Books
[CLI1] M.
Cococcioni, G. Corsini, B. Lazzerini, F. Marcelloni, “On the use of neural
networks and fuzzy rules in the ocean colour analysis”, in Analysis and
Classification of Remotely Sensed Hyperspectral Images, pp. 89-107, ETS,
Pisa, 2004.
Monographs
[M1]
F.
Marcelloni, Guida all’uso di Advisor-2,
Servizio Editoriale Universitario di Pisa, Pisa, Gennaio 1995.
[M2]
P.
Corsini, L. De Dosso, B. Lazzerini, F. Marcelloni, “Note sugli insiemi Fuzzy e
sugli algoritmi di Clustering”, Servizio
Editoriale Universitario di Pisa, Pisa, Gennaio 2003.
[M3]
M.G.C.A. Cimino, F. Marcelloni,
"INNO.PRO.MODA: innovazione progettazione qualità e tracciabilità per il
sistema moda", ed. Pacini, Pisa 2008.
[M4]
M.G.C.A.
Cimino, F. Consigli, C. Di Sacco, R. Giannotti, P. Lanari, F. Marcelloni,
"TRA.S.P: tracce sulla pelle", ed. La Lastra, Firenze 2009.
International Conferences
[C1]
G. Frosini, B. Lazzerini, F. Marcelloni, “A tool for
building expert systems which carry out academic exams”, Proceedings of AI-ED 93 World Conference on Artificial Intelligence in
Education, Edinburgh, Scotland, 23-27 August 1993, pp. 298-305.
[C2] G.
Frosini, B. Lazzerini, F. Marcelloni, “Processing alarms with a rule-based
expert system”, Proceedings of EWAIC '93
East-West Conference on Artificial Intelligence, Moscow, Russia, 7-9
September 1993, pp. 268-272.
[C3] A.
Belkhelladi, B. Lazzerini, F. Marcelloni, “A new approach to modularization of
large object-oriented systems”, Proceeding
of Joint Modular Languages Conference, Ulm, Germany, 28-30 September 1994,
pp. 421-430.
[C4] F.
Marcelloni, A. Maggiore, “The
molecule-oriented language MOL”, Proceeding
of Gronics ‘95, Groningen, Netherlands, 24 February 1995, pp. 11-18.
[C5] A.
Belkhelladi, B. Lazzerini, A. Maggiore, F. Marcelloni, “Improving reusability
in object-oriented programming: The Molecole”, Proceedings of Thirteenth IASTED Int. Conf. on Applied Informatics,
Innsbruck, Austria, 21-23 February 1995, pp. 421-424.
[C6] A. Belkhelladi, B. Lazzerini, A. Maggiore, F.
Marcelloni, “Molecule-oriented design”, in: New
Computing Techniques in Physics Research IV, World Scientific, Proceedings of
the Fourth International Workshop on Software Engineering Artificial
Intelligence and Expert Systems for High Energy and Nuclear Physics, Pisa,
Italy, 3-8 April, 1995, pp. 95-100.
[C7] A.
Belkhelladi, B. Lazzerini, A. Maggiore, F. Marcelloni, “Molecules as buiding
blocks”, Proceedings of EUROMICRO 95,
Como, Italy, 4-7 September 1995, IEEE Press, pp. 564-571.
[C8] F. Marcelloni, “On inferring reasonable conclusions
for fuzzy reasoning with multiple rules”, IPMU
‘96 - Information Processing and Management of Uncertainty in Knowledge-Based
Systems, Granada, Spain, 1-5 July, 1996, pp. 1351-1356.
[C9] B.
Lazzerini, F. Marcelloni, “Reasonable conclusions in fuzzy reasoning”, IEEE Eighth International Conference on
Tools for Artificial Intelligence, Toulouse, France, 16-19 November 1996,
IEEE Press, pp. 440-442.
[C10] B. Lazzerini, F. Marcelloni, “Improving performance of
MISO fuzzy systems”, Second International
ICSC Symposium on fuzzy logic and applications ISFL'97, 12-14 February, 1997,
pp. 82-88.
[C11]
F. Marcelloni, M. Aksit, “Applying fuzzy logic
techniques in object-oriented software development”, Jyväskylä, Finland, 9 – 13
June, 1997, in: ECOOP’97 Workshop Reader,
Lecture Notes in Computer Science 1357, Springer Verlag, pp. 295-298.
[C12]
M. Aksit, F. Marcelloni, B. Tekinerdogan, K. van den
Berg, P. van den Broek, “Active software artifacts”, Jyväskylä, Finland, 9 – 13
June, 1997, in: ECOOP’97 Workshop Reader,
Lecture Notes in Computer Science 1357, Springer Verlag, pp. 307-310.
[C13]
G. Frosini, B. Lazzerini, A. Maggiore, F. Marcelloni,
“A fuzzy classification based system for handwritten character recognition”, KES’98, Adelaide, Australia, IEEE Press,
21-23 April, 1998, pp. 61-65.
[C14] F. Di Francesco, B. Lazzerini, A.
Maggiore, F. Marcelloni, D. De Rossi, “Electronic nose based on linguistic
fuzzy classification”, EUFIT’98,
Aachen, Germany, 7-10 September, 1998, pp. 1211-1215.
[C15]
D.
Dumitrescu, B. Lazzerini, F. Marcelloni, “A fuzzy hierarchical approach to
odour classification”, Workshop on
Virtual Intelligence - Dynamic Neural Networks, KTH Stockholm, Sweden, SPIE
Proceedings Series, Vol. 3728, 22-26 June, 1998, pp. 384-395.
[C16]
B. Lazzerini, F. Marcelloni, G. Dini, F. Failli,
“Assembly planning based on genetic algorithms”, NAFIPS’99, New York, USA, IEEE Press, 10-12 June, 1999, pp.
482-486.
[C17]
B. Lazzerini, F. Marcelloni, “Fuzzy classification of
handwritten characters”, NAFIPS’99,
New York, USA, IEEE Press, 10-12 June, 1999, pp. 566-570.
[C18]
F. Marcelloni, M. Aksit, “Reducing quantization error
and contextual bias problems in software development processes by applying
fuzzy logic”, NAFIPS’99, New York,
USA, IEEE Press, 10-12 June, 1999, pp. 268-272.
[C19]
B. Lazzerini, A. Maggiore, F. Marcelloni, “A new
linguistic fuzzy approach to recognition of olfactory signals”, 1999 International Joint Conference on
Neural Networks, Washington, USA, IEEE Press, 10-16 July, 1999, pp.
3225-3229.
[C20]
D. Dumitrescu, B. Lazzerini, F. Marcelloni, “Olfactory
signal classification based on evolutionary programming”, 1999 International Joint Conference on Neural Networks, Washington,
USA, IEEE Press, 10-16 July, 1999, pp. 313-316.
[C21]
F. Di Francesco, B. Lazzerini, F. Marcelloni, G.
Pioggia, “Sniffer: An electronic nose”, KES’99,
Adelaide, Australia, IEEE Press, 31 August – 1 September, 1999, pp. 195-198.
[C22] G.
Tselentis, F. Marcelloni, T. P. Martin, L. Sensi, “Odour classification based
on computational intelligence techniques”, COIL’2000 – Symposium on
Computational Intelligence and Learning, Chios, Greece, 22-23 June, 2000,
pp. 178-189.
[C23]
G. Frosini, B. Lazzerini, F. Marcelloni, “A modified
fuzzy C-means algorithm for feature selection”, NAFIPS’2000, Atlanta, USA, IEEE Press, 13-15 July, 2000, pp.
148-152.
[C24] B.
Lazzerini, F. Marcelloni, L.M. Reyneri, “Neuro-fuzzy off-line recognition of
handwritten sentences”, KES’2000,
Brighton, UK, IEEE Press, 30 August – 1 September, 2000, pp. 440-443.
[C25]
A. Cremoncini, F. Di Francesco, B. Lazzerini, F.
Marcelloni, T. Martin, S.A.McCoy, L. Sensi, G. Tselentis, “Electronic noses
using "intelligent" processing techniques”, ISOEN 2000, 7th
International Symposium on Olfaction & Electronic Nose, Brighton, UK, 20-24
July 2000, pp. 94-99.
[C26]
F. Marcelloni, “Delaying Inconsistency Resolution
Using Fuzzy Logic”, Workshop on Softcomputing applied to Software Engineering (SCASE-01),
Enschede, The Netherlands, 8-9 February, 2001, pp.1-8.
[C27]
B. Lazzerini, F. Marcelloni, V. La Rosa, “Combining
Context, Statistics and Fuzzy Modelling for Automatic Recognition of
Handwritten Sentences”, KES 2001, Osaka, Japan, 6-8 September, 2001, pp.
1595-1599.
[C28]
M. Cococcioni, G. Frosini, B. Lazzerini, F. Marcelloni, “A new approach
to combining outputs of multiple classifiers”, NAFIPS 2002, New Orleans, USA, IEEE Press, 27-29 June, 2002, pp.
400 –405.
[C29]
M. Cococcioni, G. Corsini, M. Diani, R. Grasso, B. Lazzerini, F.
Marcelloni, “Automatic extraction of fuzzy rules from Meris data to identify sea
water optically active constituent concentration”, NAFIPS 2002, New Orleans, USA, IEEE Press,
27-29 June, 2002, pp. 546 –551.
[C30]
G. Corsini, M. Diani, R. Grasso, B.
Lazzerini, F. Marcelloni, M. Cococcioni, “A fuzzy model for the retrieval of
the sea water optically active constituents concentration from MERIS data”, IGARSS '02, Toronto, Canada, IEEE Press,
vol. 1, 24-28 June, 2002, pp. 98-100.
[C31]
P. Corsini, B. Lazzerini, F. Marcelloni,
“Clustering based on a dissimilarity measure derived from data”, KES 2002,
IOS Press, Crema, Italy, 16-18 September, 2002, pp. 885-889.
[C32]
B. Lazzerini, F. Marcelloni, “k-NN algorithm based on Neural Similarity”,
IEEE
International Conference on Artificial Intelligence Systems, Gelendgik, Black Sea Coast, Russia, IEEE Computer
Press, 5-10 September, 2002, pp. 67-70.
[C33]
M. Cococcioni, B. Lazzerini, F. Marcelloni,
“Second-order Takagi-Sugeno model to identify sea water optically active
constituent concentrations from Meris data”, International Fuzzy Systems
Association Worlds Congress (IFSA 2003), Istanbul, Turkey, 29 June – 2
July, 2003, pp. 208-211.
[C34]
P. Corsini, L. De Dosso, B. Lazzerini, F. Marcelloni,
“Relational clustering starting from non-Euclidean dissimilarity relations”, International
Fuzzy Systems Association Worlds Congress (IFSA 2003), Istanbul, Turkey, 29
June – 2 July, 2003, pp. 212-215.
[C35]
M. Cococcioni, B. Lazzerini, F. Marcelloni, “An
artificial olfactory system for quality and geographical discrimination of
olive oils”, KES 2003, Springer Verlag, University of Oxford, UK, 3-5
September, 2003, LNAI 2774, pp. 647-653.
[C36]
P. Corsini, L. De Dosso, B. Lazzerini, F. Marcelloni,
“A system based on a modified version of the FCM algorithm for profiling Web
users from access log”, EUSFLAT 2003, Zittau, Germany, 10-12 September, 2003,
pp. 725-729.
[C37]
B. Lazzerini, F. Marcelloni, M. Cococcioni, “A system
based on hierarchical fuzzy clustering for web users profiling”, IEEE SMC
2003 Proceedings, IEEE, Washington, USA, 5-8 October, 2003, pp. 1995-2000.
[C38]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni,
“Relational clustering based on a dissimilarity relation extracted from data by
a TS model”, IEEE SMC 2003 Proceedings, IEEE, Washington, USA, 5-8
October, 2003, pp. 3194-3199.
[C39]
B. Lazzerini, F. Marcelloni, G. Marola, S. Galigani,
“Neural network-based calibration of positron emission tomograph detector
modules”, ESANN’2004, Bruges, Belgium, 28-30 April, 2004, pp. 269-274.
[C40]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “A Novel
Approach to Robust Fuzzy Clustering of Relational Data”, NAFIPS 2004,
Banff, Canada, IEEE Press, 27-30 June, 2004, pp. 90-94.
[C41]
M. Cococcioni, B. Lazzerini, F. Marcelloni, “A TSK
Fuzzy Model for Combining Outputs of Multiple Classifiers”, NAFIPS 2004,
Banff, Canada, IEEE Press, 27-30 June, 2004, pp. 871-875.
[C42]
M.G.C.A. Cimino, G. Frosini, B. Lazzerini, F.
Marcelloni, “On the noise distance in robust fuzzy C-means”, International
Conference On Computational Intelligence, Istanbul, Turkey, 17-19 December
2004, pp. 361-364.
[C43] M.
Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni, “Lung nodule detection in
CT scans”, International Conference On Computational Intelligence,
Istanbul, Turkey, 17-19 December 2004, pp. 365-368.
[C44]
A. Bechini, M.G.C.A. Cimino, B. Lazzerini, F.
Marcelloni, A. Tomasi, “A general framework for food traceability", The
2005 International Symposium on Applications and the Internet, IEEE Press,
Trento, Italy, 31 January – 4 February, 2005, pp. 366-369.
[C45]
M. Antonelli, B. Lazzerini, F. Marcelloni,
“Segmentation and reconstruction of the lung volume in CT images”, 20th Annual ACM Symposium on Applied
Computing, ACM Press, Santa Fe, New Mexico, 13 –17 March, 2005, pp.
255-259.
[C46]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, A.
Tomasi, “Cerere: an information system supporting traceability in the food
supply chain”, The First IEEE International Workshop on Service oriented
Solutions for Cooperative Organizations (SoS4CO '05), IEEE CEC 2005,
Munich, Germany, 19 July, 2005, pp. 90-98.
[C47]
A. Botta, B. Lazzerini, F. Marcelloni, “Integrating
service-oriented technologies to support business processes”, The First IEEE
International Workshop on Service oriented Solutions for Cooperative
Organizations (SoS4CO '05), IEEE CEC 2005, Munich, Germany, 19 July, 2005,
pp. 37-42.
[C48]
M. Cococcioni, P. Ducange, B. Lazzerini, F.
Marcelloni, M. Vecchio, “Identification of Mamdani Fuzzy Systems based on a
Multi-Objective Genetic Algorithm”, AI*IA 2005 Workshop on Evolutionary
Computation, Milan, Italy, 20 September, 2005, pp. 1-10.
[C49]
M. Cococcioni, P. Guasqui, B. Lazzerini, F.
Marcelloni, “Identification of Takagi-Sugeno Fuzzy Systems based on
Multi-Objective Genetic Algorithms”, International Workshop on Fuzzy Logic
and Applications, Crema, Italy, 15-17 September 2005, Lecture Notes in
Artificial Intelligence 3849, Springer, pp. 172-177.
[C50]
M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni
“Automated Detection of Pulmonary Nodules in CT Scans”, CIMCA 2005,
Vienna, Austria, 28-30 November 2005, IEEE, vol. 2, pp. 799-803.
[C51]
A. Botta, B. Lazzerini, F. Marcelloni, “New Operators
for Context Adaptation of Mamdani Fuzzy Systems”, 7th International FLINS
Conference on Applied Artificial Intelligence, Applied Artificial
Intelligence, World Scientific, Genoa, Italy, 29-31 August, 2006, pp.
35-42.
[C52]
A. Botta, B. Lazzerini, F. Marcelloni, “Context
Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic
Algorithm”, IEEE World Congress on Computation Intelligence, IEEE,
Vancouver, Canada, 16-21 July, 2006, pp. 7832-7839.
[C53]
M. Antonelli, G. Frosini, B. Lazzerini and F.
Marcelloni, “A CAD System for Lung Nodule Detection based on an Anatomical
Model and a Fuzzy Neural Network”, NAFIPS 2006, IEEE, Montreal, Canada,
3-6 June, 2006, pp. 469-474.
[C54]
M. Cococcioni, P. Ducange, B. Lazzerini and F.
Marcelloni, “A Comparison of Multi-Objective Evolutionary Algorithms in Fuzzy
Rule-Based Systems Generation”, NAFIPS 2006, IEEE, Montreal, 3-6 June,
Canada, 2006, pp. 463-468.
[C55]
B.
Lazzerini, F. Marcelloni, M. Vecchio, S. Croce, E. Monaldi, “A Fuzzy Approach to Data Aggregation to Reduce Power
Consumption in Wireless Sensor Networks”, NAFIPS 2006, IEEE, Montreal,
Canada, 3-6 June, 2006, pp. 457-462.
[C56]
A. Botta, B. Lazzerini, F. Marcelloni, D. Stefanescu,
“Exploiting fuzzy ordering relations to preserve interpretability in context
adaptation of fuzzy systems”, FUZZ-IEEE 2007, IEEE, London, Imperial
College, London, UK, 23-26 July, 2007, pp. 1137-1142.
[C57]
M. Cococcioni, P. Ducange, B. Lazzerini, F.
Marcelloni, “Evolutionary multi-objective optimization of fuzzy rule-based
classifiers in the ROC space”, FUZZ-IEEE 2007, IEEE, London, Imperial
College, London, UK, 23-26 July, 2007, pp. 782-787.
[C58]
M. Antonelli, M. Cococcioni, G. Frosini, B. Lazzerini,
F. Marcelloni, “Modelling a Team of Radiologists for Lung Nodule Detection in
CT Scans”, KES 2007, Lecture Notes in AI 4692, Springer-Verlag, Vietri
sul Mare, Italy, 12-14 September, 2007, pp. 303-310.
[C59]
M. Cococcioni, P. Ducange, B. Lazzerini and F.
Marcelloni, “A New Multi-Objective Evolutionary Algorithm based on Convex Hull
for Binary Classifier Optimization”, IEEE Congress on Computational
Intelligence (CEC), IEEE, Singapore, 25-28 September, 2007, pp. 3150-3156.
[C60]
A. Botta, B. Lazzerini, F. Marcelloni and D.
Stefanescu, “A Survey of Approaches to Context Adaptation of Fuzzy Systems”, The
10th IASTED International Conference on Intelligent Systems and Control ISC
2007, Cambridge, Massachusetts, USA, 19 – 21 November, 2007.
[C61]
M. Antonelli, M. Cococcioni, B. Lazzerini, F.
Marcelloni, D. Stefanescu, “A multi-classifier system for pulmonary nodule
classification”, The 21th IEEE International Symposium on Computer-Based
Medical Systems, IEEE, Jyväskylä, Finland, 17-19 June, 2008, pp.
587-589.
[C62]
A. Botta, P. Ducange, B. Lazzerini, F. Marcelloni, “A
Multi-Objective Cooperative Coevolutionary Approach to Mamdani Fuzzy System
Generation”, IPMU 2008, Malaga, Spain, 22-27 June, 2008,
pp. 1143-1150.
[C63]
P. Ducange, R. Alcalà, F. Herrera, B. Lazzerini and F.
Marcelloni, “Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in
a Multi-objective Evolutionary Framework”, The 3rd International Workshop on
Hybrid Artificial Intelligence Systems, Springer, Lecture notes in Computer
Science, vol. 5271, Burgos, Spain, 24-26 September, 2008, pp. 747-754.
[C64]
M. Cococcioni, L. Foschini, B. Lazzerini, F.
Marcelloni, “Complexity Reduction of Mamdani Fuzzy Systems through Multi-valued
Logic Minimization”, IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2008), Singapore, IEEE press, 12-15 October, 2008,
pp. 1782-1787.
[C65]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“A Multi-objective Genetic Approach to Concurrently Learn Partition Granularity
and Rule Bases of Mamdani Fuzzy Systems”, 8th International Conference on
Hybrid Intelligent Systems, Barcelona, Spain, IEEE press, 10-12 September,
2008, pp. 278-283.
[C66]
M. Cococcioni, B. Lazzerini, F. Marcelloni, “Fast
Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems
Identification”, 8th International Conference on Hybrid Intelligent Systems,
Barcelona, Spain, IEEE press, 10-12 September, 2008, pp. 272-277.
[C67]
A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini, F.
Marcelloni, “Using BPMN and Tracing for Rapid Business Process Prototyping
Environments”, 11th International Conference on Enterprise
Information Systems (ICEIS 2009), Milan, Italy, 6-10 May, 2009, accepted for
publication.
[C68]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based
Systems”, 4th International Conference on Hybrid Artificial Intelligence
Systems, Salamanca, Spain, 10-12 June, 2009, Lectures Notes in Computer
Science, accepted for publication.
[C69]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Learning Concurrently Granularity, Membership Function Parameters and Rules of
Mamdani Fuzzy Rule-based Systems”, IFSA-EUSFLAT 2009, Lisbon, Portugal,
2009, pp. 1033-1038.
[C70]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Exploiting a New Interpretability Index in the Multi-Objective Evolutionary
Learning of Mamdani Fuzzy Rule-Based Systems”, ISDA’09, IEEE, Pisa,
Italy, 30 November – 2 December, 2009, pp. 115-120.
[C71]
F. Marcelloni, M. Vecchio, “A Multi-objective
Evolutionary Approach to Data Compression in Wireless Sensor Networks”, ISDA’09,
IEEE, Pisa, Italy, 30 November – 2 December, 2009, pp. 402-407.
[C72]
A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini, F.
Marcelloni, “Situation-Aware Mobile Service Recommendation with Fuzzy Logic and
Semantic Web”, ISDA’09, IEEE, Pisa, Italy, 30 November – 2 December,
2009, pp. 1037-1042.
[C73]
S. Lioba Volpi, M. Antonelli, B. Lazzerini, F.
Marcelloni, D.C. Stefanescu, “Segmentation and reconstruction of the lung and
the mediastinum volumes in CT images”, IEEE 2nd International
Symposium on Applied Sciences in Biomedical and Communication Technologies
(ISABEL), Bratislava, Slovak Republic, November 24 - 27, 2009, pp. 1-6.
[C74]
M. Antonelli, P. Ducange and F. Marcelloni,
“Exploiting a coevolutionary approach to concurrently select training instances
and learn rule bases of Mamdani fuzzy systems”, 2010 IEEE International
Conference on Fuzzy Systems, Barcellona (Spagna), 18-23 July, 2010.
[C75]
M. Antonelli, P. Ducange, B. Lazzerini and F.
Marcelloni, “Exploiting a Three-Objective Evolutionary Algorithm for Generating
Mamdani Fuzzy Rule-Based Systems”, 2010 IEEE International Conference on
Fuzzy Systems, Barcellona (Spagna), 18-23 July, 2010.
[C76]
A. Ciaramella, M.G.C.A. Cimino, F. Marcelloni, U.
Straccia, “Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness
in Service Recommendation,” 21st International Conference on Database and
Expert Systems Applications (DEXA’10), Lecture Notes in Computer Science
6261, 30 Agosto – 3 Settembre, 2010, pp. 31-45.
[C77] A. Ciaramella, M.G.C.A. Cimino, B.
Lazzerini, F. Marcelloni, “Using Context History to Personalize a Resource
Recommender via a Genetic Algorithm”, ISDA’10, IEEE, Cairo, Egypt, 29
Novembre – 1 Dicembre, 2010, pp. 965-970.
[C78]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“Multi-objective Evolutionary Generation of Mamdani Fuzzy Rule-Based Systems
based on Rule and Condition Selection,” 5th IEEE International Workshop on
Genetic and Evolutionary Fuzzy Systems, Parigi, Francia, 12-15 Aprile,
2011, pp. 47-53.
[C79]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, W.
Pedrycz, “Granular Data Regression with Neural Networks,” 9th International
Workshop on Fuzzy Logic and Applications, Trani, Italia, 29-31 Agosto,
Lecture Notes in Computer Science, Vol. 6857, 2011, pp. 172-179.
[C80]
P. Ducange, F. Marcelloni, “Multi-objective
Evolutionary Fuzzy Systems,” 9th International Workshop on Fuzzy Logic and
Applications, Trani, Italia, 29-31 Agosto, Lecture Notes in Computer
Science, Vol. 6857, 2011, pp. 83-90.
[C81]
M. Antonelli, P. Ducange, F. Marcelloni, “A New
Approach to Handle High Dimensional and Large Datasets in Multi-objective Evolutionary
Fuzzy Systems,” 2011 IEEE International Conference on Fuzzy Systems,
Taipei, Taiwan, 27-30 Giugno, 2011, pp. 1286-1293.
[C82]
F. Corucci, G. Anastasi, F. Marcelloni, “A WSN-based
Testbed for Energy Efficiency in Buildings”, IEEE Symposium on Computers and
Communications, Kerkyra, Corfu, Greece, 2011, pp. 990-993.
[C83]
M. Vecchio, R.
López Valcarce, F. Marcelloni, “An
Effective Metaheuristic Approach to Node Localization in Wireless Sensor
Networks,” 8th IEEE International Conference on Mobile Ad-hoc and Sensor
Systems (IEEE MASS 2011), Valencia, Spain, Ottobre 17-22, 2011, pp.
143-145.
[C84]
M. Vecchio, R. Lopez-Valcarce, and F. Marcelloni,
“Solving the node localization problem in WSNs by a two-objective evolutionary
algorithm and gradient descent,” 3rd World Congress on Nature and
Biologically Inspired Computing (NaBIC2011), IEEE, Salamanca, Spain,
Ottobre 19-21, 2011, pp. 143-148.
[C85]
Anastasi, F. Corucci, F. Marcelloni, “An Intelligent
System for Electrical Energy Management in Buildings,” 11th International
Conference on Intelligent Systems Design and Applications, IEEE, Cordoba,
Spain, November 22-24, 2011, pp. 702-707.
[C86]
M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, G.
Castellano, A.M. Fanelli, M.A. Torsello, “A collaborative situation-aware
scheme for mobile service recommendation,” 11th International Conference on
Intelligent Systems Design and Applications, IEEE, Cordoba, Spain, November
22-24, 2011, pp. 130-135.
[C87]
M. Vecchio, R. Lopez-Valcarce, and F. Marcelloni, “A
study on the application of different two-objective evolutionary algorithms to
the node localization problem in wireless sensor networks,” 11th
International Conference on Intelligent Systems Design and Applications,
IEEE, Cordoba, Spain, November 22-24, 2011, pp. 1008-1013.
[C88]
P. Ducange, M. Fazzolari, F. Marcelloni, B. Lazzerini,
“An intelligent system for detecting faults in photovoltaic fields,” 11th
International Conference on Intelligent Systems Design and Applications,
IEEE, Cordoba, Spain, November 22-24, 2011, pp. 1341-1346.
[C89]
M. Antonelli, P. Ducange, F. Marcelloni,
“Multi-objective evolutionary rule and condition selection for designing fuzzy
rule-based classifiers,” 2012 IEEE
International Conference on Fuzzy Systems, Brisbane, Australia, June 10-15, 2012, pp. 794-800.
[C90]
B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcala, F.
Herrera, “A case study on the application of instance selection techniques for
genetic fuzzy rule-based classifiers,” 2012 IEEE International Conference on Fuzzy Systems, Brisbane, Australia, June 10-15, 2012, pp. 920-927.
[C91]
P. Ducange, F. Marcelloni, D. Marinari, “An algorithm
based on finite state machines with fuzzy transitions for non-intrusive load
disaggregation,” Second IFIP Conference on Sustainable Internet and ICT for
Sustainability, Pisa, Italia, October 4-5, 2012, ISBN: 978-3-901882-46-3,
pp. 1-5.
[C92]
M. Antonelli, P. Ducange, F. Marcelloni, A. Segatori,
“Evolutionary Fuzzy Classifiers for Imbalanced Datasets: An Experimental
Comparison”, 2013 IFSA World Congress and NAFIPS Annual Meeting, Edmonton,
Canada, June 24-28, 2013, pp. 13-18.
[C93]
M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni,
“A CAD System for Detecting Lung Nodules in CT Scans based on Multi-Objective
Evolutionary Fuzzy Classifiers”, Medical Imaging Using Bio-inspired Soft
Computing, Brussels, Belgium, 2013.
[C94]
M. Vecchio, S. Sasidharan, F. Marcelloni, R.
Giaffreda, “Reconfiguration of Environmental Data Compression Parameters
through Cognitive IoT Technologies”, Workshop on Internet of Things
Communications and Technologies (IoT 2013) within the 9th IEEE International
Conference on Wireless and Mobile Computing, Networking and Communications,
Lyon, France, October 7-9, 2013, pp. 141-146.
[C95]
A. Bechini, F. Marcelloni, A. Segatori, “A Mobile
Application Leveraging QR-Codes to Support Efficient Urban Parking”, The Third
IFIP Conference on Sustainable Internet and ICT for Sustainability, Palermo,
Italy, October 30-31, 2013 (demo paper).
[C96]
G. Anastasi, M. Antonelli, A. Bechini, S. Brienza, E.
D’Andrea, D. De Guglielmo, P. Ducange, B. Lazzerini, F. Marcelloni, A. Segatori
“Urban and Social Sensing for Sustainable Mobility in Smart Cities”, The Third
IFIP Conference on Sustainable Internet and ICT for Sustainability, Palermo,
Italy, October 30-31, 2013 (WIP paper).
[C97]
M. Antonelli, P. Ducange, F. Marcelloni, “Feature
Selection based on Fuzzy Mutual Information”, 10th International
Workshop on Fuzzy Logic and Applications, WILF 2013, Genoa, Italy, 19-23
November, 2013, Lecture notes in Computer Science, Vol. 8256, pp. 36-43.
[C98]
A. D. De Matteis, F. Marcelloni and A. Segatori, “A
New Approach to Fuzzy Random Forest Generation,” 2015 IEEE International
Conference on Fuzzy Systems, Istanbul, Turkey, 3-6 July, 2015, pp. 1-8.
[C99]
P. Ducange, F. Marcelloni and A. Segatori, “A
MapReduce-based Fuzzy Associative Classifier for Big Data”, 2015 IEEE International
Conference on Fuzzy Systems, Istanbul, Turkey, 3-6 July, 2015, pp. 1-8.
[C100]
G. Ciavarrini, F. Marcelloni, A. Vecchio, “Improving
Wi-Fi based localization using external constraints”, 9th International
Conference on Next Generation Mobile Applications, Services and Technologies
2015, Cambridge, 9-11 September 2015.
[C101] M.
Cococcioni, B. Lazzerini, F. Marcelloni, F. Pistolesi, “Solving the
Environmental Economic Dispatch Problem with Prohibited Operating Zones in
Microgrids using NSGA-II and TOPSIS”, ACM SAC 2016, Pisa, 4-8 April, 2016.
National Conferences
[NC1]
G.
Frosini, B. Lazzerini, F. Marcelloni, “Un sistema esperto per condurre gli
esami di profitto”, Atti di Didamatica
'93, Genova, 14-16 April 1993, pp. 65-79.
[NC2]
B.
Lazzerini, F. Marcelloni, L.M. Reyneri, E. Rossi, L. Schiuma, “Il Sistema
BEATRIX per il riconoscimento automatico di testi manoscritti”, Atti Congresso Annuale AICA, Palermo
21-23 September 1994, pp. 1303-1318.
PhD Thesis
[TD1]
F. Marcelloni,
“Molecule-oriented models and fuzzy logic-based methods in software
development”.