Selected recent publications

BOOKS

• D. Dorbolò, G. Frosini, B. Lazzerini, “Programmazione a oggetti con riferimento al C++”, Franco Angeli, 1999.



• D. Dumitrescu, B. Lazzerini, L.C. Jain, “Fuzzy sets and their application to clustering and training”, CRC Press, Florida, U.S.A., 2000.



• D. Dumitrescu, B. Lazzerini, L.C. Jain, A. Dumitrescu, “Evolutionary Computation”, CRC Press, Florida, U.S.A., 2000.



• G. Frosini, B. Lazzerini, “Calcolatori Elettronici”, Edizioni ETS, Pisa, 2002.





BOOK CHAPTERS

• L.C. Jain, B. Lazzerini, “An introduction to handwritten character and word recognition”, in Knowledge-Based Intelligent Techniques in Character Recognition, L.C. Jain and B. Lazzerini eds, CRC Press, Florida, U.S.A., April 1999, pp. 3-16.



• B. Lazzerini, L.M. Reyneri, F. Gregoretti, A. Mariani, “High-speed recognition of handwritten amounts on Italian checks”, in Knowledge-Based Intelligent Techniques in Character Recognition, L.C. Jain and B. Lazzerini eds, CRC Press, Florida, April 1999, pp. 167-189.



• 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.



• 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, ETS, Pisa, 2004, pp. 89-107.



• M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “Fuzzy clustering based on dissimilarity relations extracted from data”, in Advances in Fuzzy Clustering and Its Applications, John Wiley and Sons, 2007, pp. 265-283.
  
  
  

  INTERNATIONAL JOURNALS

• B. Lazzerini, A. Maggiore, L.M. Reyneri, “Hybrid intelligent control: implementation and application”, International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 2, n. 2 (April 1998), pp. 102-110.



• U. Halici, L.C. Jain, K. Leblebicioglu, B. Lazzerini, L.I. Kuncheva, “Parabolic evolutionary algorithms”, Romanian Journal of Information Science and Technology, Romanian Academy, vol. 1, n. 3 (1998), pp. 217-229.



• B. Lazzerini, L.M. Reyneri, F. Gregoretti, A. Mariani, “Mixing neural networks and contextual analysis in a high-speed handwriting recognizer”, International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 2, n. 3 (July 1998), pp. 164-177.



• G. Frosini, B. Lazzerini, F. Marcelloni, “Performing automatic exams”, Computers & Education, Pergamon, vol. 31, n. 3 (October 1998), pp. 281-300.



• B. Lazzerini, A. Maggiore, F. Marcelloni, “Classification of odour samples from a multisensor array using new linguistic fuzzy method”, IEE Electronics Letters, vol. 34, n. 23 (November 1998), pp. 2229- 2231.



• B. Lazzerini, L.M. Reyneri, M. Chiaberge, “A neuro-fuzzy approach to hybrid intelligent control”, IEEE Transactions on Industry Applications, vol. 35, n. 2, (March/April 1999), pp. 413-425.



• G. Dini, F. Failli, B. Lazzerini, F. Marcelloni, “Generation of optimized assembly sequences using genetic algorithms”, Annals of the CIRP, International Institution for Production Engineering Research, vol. 48, n. 1 (1999), pp. 17-20.



• B. Lazzerini, F. Marcelloni, “Assembly planning based on genetic algorithms”, International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 3, n. 4 (October 1999), pp. 200-204.



• 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.



• B. Lazzerini, F. Marcelloni, “Reducing computation overhead in MISO fuzzy systems, Fuzzy Sets And Systems, Elsevier, vol. 113, n. 3 (2000) pp. 485-496.



• 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.



• B. Lazzerini, F. Marcelloni, “Counteracting drift of olfactory sensors by appropriately selecting features”, IEE Electronics Letters, vol. 36, n. 6, 2000, pp. 509-510.



• D. Dumitrescu, B. Lazzerini, F. Marcelloni, “A fuzzy hierarchical classification system for olfactory signals”, Pattern Analysis and Applications, Springer, vol. 3, n. 4, 2000, pp. 325-334.



• B. Lazzerini, F. Marcelloni, “A genetic algorithm for generating optimal assembly plans”, Artificial Intelligence in Engineering, Elsevier, vol. 14, n. 4 (October 2000), pp. 319-329.



• B. Lazzerini, F. Marcelloni, “A fuzzy approach to 2-D shape recognition”, IEEE Transactions on Fuzzy Systems, vol. 9, n. 1 (February 2001), pp. 5-16.



• 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.



• 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.



• B. Lazzerini, F. Marcelloni, “Feature selection based on similarity”, IEE Electronics Letters, vol. 38, n. 3, 2002, pp. 121-122.



• B. Lazzerini, F. Marcelloni, “Classification based on neural similarity”, IEE Electronics Letters, vol. 38, n. 15, 2002, pp. 810-812.



• 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: Cybernetics, vol. 34, n. 1, (February 2004), pp. 775-782.



• 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: Cybernetics, vol. 34, n. 3, (June 2004), pp. 1360-1373.



• B. Lazzerini, F. Marcelloni, G. Marola, “Calibration of positron emission tomograph detector modules using new neural method,” Electronics Letters, vol. 40, n. 6, (March 2004), pp.360-361.



• P. Corsini, B. Lazzerini, F. Marcelloni, “A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm”, Soft Computing, Springer-Verlag, vol. 9, n. 6 (2005), pp. 439-447.



• P. Corsini, B. Lazzerini, F. Marcelloni, “Combining supervised and unsupervised learning for data clustering”, Neural Computing & Applications, Springer-Verlag, vol. 15, n. 3-4 (2006), pp. 289-297.



• 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.



• B. Lazzerini, F. Marcelloni, “A hierarchical fuzzy clustering-based system to create user profiles”, Soft Computing, Springer, Vol. 11, n. 2, 2007, pp. 157-168.



• 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.



• M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni, “A Pareto-based Multi-Objective Evolutionary Approach to the Identification of Mamdani Fuzzy Systems,” Soft Computing, Springer, Vol. 11, n. 11, 2007, pp. 1013-1031.





INTERNATIONAL CONFERENCES

• B. Lazzerini, A. Maggiore, “Linguistic modelling based on experimental data”, in Proc. of Second Int’l Conference on Knowledge-Based Intelligent Electronic Systems, Adelaide (Australia), IEEE Press, April 1998, Vol. 2, pp. 46-51.



• G. Frosini, B. Lazzerini, A. Maggiore, F. Marcelloni, “A fuzzy classification based system for handwritten character recognition”, in Proc. of Second Int’l Conference on Knowledge-Based Intelligent Electronic Systems, IEEE Press, Adelaide (Australia), April 1998, Vol. 3, pp. 61-65.



• B. Lazzerini, A. Maggiore, “Linguistic fuzzy classification of olfactive signals”, in Proc. of FUZZ-IEEE '98, IEEE World Congress on Computational Intelligence, IEEE Press, Anchorage (Alaska), May 1998, pp. 1518-1523.



• D. Dumitrescu, B. Lazzerini, L. Bodrogi, “Genetic chromodynamics – A new concept in evolutionary computing”, in Proc. of Informatics and its Applications, Cluj-Napoca (Romania), June 1998.



• D. Dumitrescu, B. Lazzerini, F. Marcelloni, “A fuzzy hierarchical approach to odor classification”, in Proc. of VI-DYNN’98, Workshop on Virtual Intelligence - Dynamic Neural Networks, Stockholm (S), June 1998, pp. 384-395. Invited paper.



• F. Di Francesco, B. Lazzerini, A. Maggiore, F. Marcelloni, D. De Rossi, “Electronic nose based on linguistic fuzzy classification”, in Proc. of EUFIT’98, 6th European Congress on Intelligent Techniques & Soft Computing, Aachen (D), September 1998, pp. 1211-1215.



• B. Lazzerini, F. Marcelloni, G. Dini, F. Failli, “Assembly planning based on genetic algorithms”, in Proc. of NAFIPS’99, 18th Int.l Conf. of the North American Fuzzy Information Processing Society, New York, June 1999, pp. 482-486.



• B. Lazzerini, F. Marcelloni, “Fuzzy classification of handwritten characters”, in Proc. of NAFIPS’99, 18th Int.l Conf. of the North American Fuzzy Information Processing Society, IEEE Press, New York, June 1999, pp. 566-570.



• B. Lazzerini, A. Maggiore, F. Marcelloni, “A new linguistic fuzzy approach to recognition of olfactory signals”, Proc. of IJCNN’99, 1999 Int. Joint Conf. of Neural Networks, Washington, DC, July 1999, pp. 3225-3229.



• D. Dumitrescu, B. Lazzerini, F. Marcelloni, “Olfactory signal classification based on evolutionary computation”, Proc. of IJCNN’99, 1999 Int. Joint Conf. of Neural Networks, Washington, DC, July 1999, pp. 313-316.



• F. Di Francesco, B. Lazzerini, F. Marcelloni, G. Pioggia, “Sniffer: an electronic nose”, in Proc. of Third Int’l Conference on Knowledge-Based Intelligent Information Engineering Systems, IEEE Press, Adelaide (Australia), 31 August-1 September 1999, Vol. 3, pp. 195-198.



• A. Cremoncini, F. Di Francesco, B. Lazzerini, F. Marcelloni, T. Martin, S.A. McCoy, L. Sensi, “Electronic noses using "intelligent" processing techniques”, ISOEN 2000, 7th International Symposium on Olfaction & Electronic Nose, Brighton, UK, July 2000, pp. 94-99.



• G. Bargagna, B. Lazzerini, A. Partridge, “Fuzzy logic based classification of olive oils”, ISOEN 2000, 7th International Symposium on Olfaction & Electronic Nose, Brighton, UK, July 2000, pp. 133-138.



• G. Frosini, B. Lazzerini, F. Marcelloni, “A modified fuzzy C-means algorithm for feature selection”, Proc. of NAFIPS’2000, 19th Int.l Conf. of the North American Fuzzy Information Processing Society, IEEE Press, Atlanta, GA, July 2000, pp. 148-152.



• B. Lazzerini, F. Marcelloni, L.M. Reyneri, “Neuro-fuzzy off-line recognition of handwritten sentences”, in Proc. of Fourth Int’l Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, IEEE Press, Brighton, GB, 30 August-1 September 2000, pp. 440-443.



• B. Lazzerini, F. Marcelloni, V. La Rosa, “Combining context, statistics and fuzzy modelling for automatic recognition of handwritten sentences”, in Proc. of KES'2001, Osaka, Japan, September 2001, pp. 1595-1599.



• M. Cococcioni, G. Frosini, B. Lazzerini, F. Marcelloni, “A new approach to combining outputs of multiple classifiers ”, in Proc. of NAFIPS'2002, IEEE Press, New Orleans, July 2002, pp. 400-405.



• 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 ”, in Proc. of NAFIPS'2002, IEEE Press, New Orleans, July 2002, pp. 546-551.



• 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 ”, IEEE International Geoscience and Remote Sensing Symposium, 2002, Vol. 1, pp. 98-100.



• P. Corsini, B. Lazzerini, F. Marcelloni, “Clustering based on a dissimilarity measure derived from data”, in Proc. of KES'2002, IOS Press, September 2002, Crema, Italy, pp. 885-889.



• B. Lazzerini, F. Marcelloni, “k-NN algorithm based on neural similarity”, IEEE International Conference on Artificial Intelligence Systems, Gelendgik, Black Sea Coast, Russia, September 2002, pp. 67-70.



• P. Corsini, L. De Dosso, B. Lazzerini, F. Marcelloni, “Relational clustering starting from non-Euclidean dissimilarity relations”, 10th International Fuzzy Systems Association Worlds Congress (IFSA 2003), Istanbul, Turkey, June-July 2003, pp. 212-215.



• M. Cococcioni, B. Lazzerini, F. Marcelloni, “Second-order Takagi-Sugeno model to identify sea water optically active constituent concentrations from Meris data”, 10th International Fuzzy Systems Association Worlds Congress 2003, Istanbul, Turkey, June-July 2003, pp. 208-211.



• M. Cococcioni, B. Lazzerini, F. Marcelloni, “An artificial olfactory system for quality and geographical discrimination of olive oils”, KES 2003, Oxford, Great Britain, September 2003, pp. 647-653.



• 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, September 2003, pp. 725-729.



• B. Lazzerini, F. Marcelloni, M. Cococcioni, “A system based on hierarchical fuzzy clustering for web users profiling”, IEEE SMC 2003, Washington D.C., USA, October 2003, pp. 1995-2000.



• 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, IEEE press, Washington D.C., USA, October 2003, pp. 3194-3199.



• B. Lazzerini, F. Marcelloni, G. Marola, S. Galigani, “Neural network-based calibration of positron emission tomograph detector modules”, ESANN’2004, Bruges, Belgium, April 2004, pp. 269-274.



• M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “A novel approach to robust fuzzy clustering of relational data”, NAFIPS 2004, Banff, IEEE Press, June 2004, pp. 90-94.



• M. Cococcioni, B. Lazzerini, F. Marcelloni, “A TSK fuzzy model for combining outputs of multiple classifiers”, NAFIPS 2004, Banff, Canada, IEEE Press, June 2004, pp. 871-875.



• M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni, “Lung nodule detection in CT scans”, International Conference on Computational Intelligence, December 2004, Istanbul, pp. 365-368.



• 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, December 2004, Istanbul, Turkey, pp. 361-364.



• 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, January 31-February 4, 2005, Trento, Italy, pp. 366-369.



• 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, March 2005, pp. 255-259.



• M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, A. Tomasi, “Cerere: an information system supporting traceability in the food supply chain”, First IEEE International Workshop on Service Oriented Solutions for Cooperative Organizations (SoS4CO '05), IEEE CEC 2005, Munich, Germany, July 19, 2005, pp. 90-98.



• A. Botta, B. Lazzerini, F. Marcelloni, “Integrating service-oriented technologies to support business processes”, First IEEE International Workshop on Service oriented Solutions for Cooperative Organizations (SoS4CO '05), IEEE CEC 2005, Munich, Germany, July 19, 2005, pp. 37-42.



• 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, Milano, September 20, 2005, pp. 1-10.



• 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.



• M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni, “Automated Detection of Pulmonary Nodules in CT Scans”, CIMCA 2005, Vienna, Austria, IEEE, November 2005, vol. 2, pp. 799-803.



• A. Botta, B. Lazzerini, F. Marcelloni, “New Operators for Context Adaptation of Mamdani Fuzzy Systems”, 7th International FLINS Conference on Applied Artificial Intelligence, World Scientific, Genova, 2006, pp. 35-42.



• 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, 2006, pp. 7832-7839.



• 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, pp. 469-474.



• 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, Canada, pp. 463-468.



• 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, pp. 457-462.



• 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.



• 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.



• 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, Springer-Verlag, Vietri sul Mare, Italy, 12-14 September 2007.



• 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, September 25-28, 2007.