Selected recent publications (since 2000)

BOOKS

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



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



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





BOOK CHAPTERS

• M. Cococcioni, B. Lazzerini, F. Marcelloni, “Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems” in Computational Intelligence in Expensive Optimization Problems, Springer-Verlag, vol. 2, pp. 397-422, 2010.



• 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, pp. 265-283, 2007.



• 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, pp. 89-107, 2004.



• 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, pp. 199-218, 2000.
  
  
  

  INTERNATIONAL JOURNALS

• Mario G.C.A. Cimino, B. Lazzerini, F. Marcelloni, W. Pedrycz, “Genetic Interval Neural Networks for Granular Data Regression”, Information Sciences, DOI: 10.1016/j.ins.2012.12.049, 2013.



• M. Cococcioni, B. Lazzerini, S.L. Volpi, “Robust diagnosis of rolling element bearings based on classification techniques”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2012.2231084, 2013.



• E. D’andrea, B. Lazzerini, “A hierarchical approach to multi-class fuzzy classifiers”, Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2012.12.097, 2013.



• B. Lazzerini, F. Pistolesi, “Profiling risk sensibility through association rules”, Expert Systems with Applications, vol. 40, n. 5, pp. 1484–1490, 2013.



• M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, A. Ciaramella "An Adaptive Rule-Based Approach for Managing Situation-Awareness", Expert Systems with Applications, vol. 39, n. 12, pp. 10796-10811, 2012.



• 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, DOI 10.1007/s12652-012-0126-y, 2012.



• M. Cococcioni, E. D’Andrea, B. Lazzerini, “One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study”, Intelligent Decision Technologies, vol. 6, pp. 197-210, 2012.



• M. Cococcioni, B. Lazzerini, F. Marcelloni, “On Reducing Computational Overhead in Multi-Objective Genetic Takagi-Sugeno Fuzzy Systems”, Applied Soft Computing, vol. 11, n. 1, pp. 675-688, 2011.



• 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, vol. 15, n. 12, pp. 2335-2354, 2011.



• 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, vol. 15, n. 10, pp. 1981-1998, 2011.



• B. Lazzerini, L. Mkrtchyan, “Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps”, IEEE Systems Journal, vol. 5, n. 2, pp. 288-297, 2011.



• B. Lazzerini, S.L. Volpi, “Classifier ensembles to improve the robustness to noise of bearing fault diagnosis”, Pattern Analysis and Applications, 2011.



• 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, n. 3, pp. 295-310, 2011.



• 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, pp. 770-773, 2011.



• 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. 7, pp. 713-728, 2010.



• B. Lazzerini, F. Marcelloni, M. Vecchio, “A Multi-Objective Evolutionary Approach to Image Quality/Compression Trade-Off in JPEG Baseline Algorithm”, Applied Soft Computing, vol. 10, n. 2, pp. 548-561, 2010.



• A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “A Situation-Aware Resource Recommender based on Fuzzy and Semantic Web Rules”, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 18, n. 4, pp. 411-430, 2010.



• 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, Springer, vol. 13, n. 5, pp. 437-449, 2009.



• 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, n. 10-12, pp. 2536-2548, 2009.



• 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, n. 7, pp. 1066-1080, 2009.



• R. Alcalà, P. Ducange, F. Herrera, B. Lazzerini and F. Marcelloni, “A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-based Systems”, IEEE Transactions on Fuzzy Systems, vol. 17, n. 5, pp. 1106-1122, 2009.



• 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, vol. 2, n. 1-2, pp. 21-37, 2009.



• A. Botta, B. Lazzerini, F. Marcelloni, “Context Adaptation of Mamdani Fuzzy Rule-Based Systems”, International Journal of Intelligent Systems, vol. 23, n. 4, pp. 397-417, 2008.



• 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, vol. 12, n. 5/6, pp. 339-355, 2008.



• B. Lazzerini, F. Marcelloni, “A hierarchical fuzzy clustering-based system to create user profiles”, Soft Computing - A Fusion of Foundations, Methodologies and Applications, Springer, vol. 11, n. 2, pp. 157-168, 2007.



• 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, vol. 40, n. 10, pp. 2846-2860, 2007.



• 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, pp. 1013-1031, 2007.



• 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, pp. 289-297, 2006.



• 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, pp. 2077-2091, 2006.



• 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, pp. 439-447, 2005.



• 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, pp. 775-782, 2004.



• 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, pp. 1360-1373, 2004.



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



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



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



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



• F. Di Francesco, B. Lazzerini, F. Marcelloni, G. Pioggia, “An electronic nose for odour annoyance assessment”, Atmospheric Environment, Pergamon, vol. 35, n. 7, pp. 1225-1234, 2001.



• B. Lazzerini, A. Maggiore, F. Marcelloni, “FROS: a fuzzy logic-based recogniser of olfactory signals”, Pattern Recognition, Pergamon, vol. 34, n. 11, pp. 2215-2226, 2001.



• 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, pp. 221-235, 2000.



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



• B. Lazzerini, F. Marcelloni, “A linguistic fuzzy recogniser of off-line handwritten characters”, Pattern Recognition Letters, Elsevier, vol. 21, n. 4, pp. 319-327, 2000.



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



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



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





INTERNATIONAL CONFERENCES

• E. D’Andrea, B. Lazzerini, “Fuzzy forecasting of energy production in solar photovoltaic installations”, IEEE International Conference on Fuzzy Systems, Brisbane, Australia, pp. 693-700, 2012.



• E. D’Andrea, B. Lazzerini, S. Leon del Rosario, “Neural network-based forecasting of energy consumption due to electric lighting in office buildings”, Second IFIP Conference on Sustainable Internet and ICT for Sustainability, Pisa, 2012.



• E. D’Andrea, B. Lazzerini, “Computational Intelligence techniques for solar photovoltaic system applications”, Second IFIP Conference on Sustainable Internet and ICT for Sustainability, Pisa, 2012.



• M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni, “Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection”, IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris, pp. 47-53, 2011.



• M. Cococcioni, E. D’Andrea, B. Lazzerini, “24-hour-ahead forecasting of energy production in solar PV systems”, 11th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Córdoba, Spain, pp. 1276-1281, 2011.



• P. Ducange, M. Fazzolari, B. Lazzerini, F. Marcelloni, “An Intelligent System for Detecting Faults in Photovoltaic Fields”, 11th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Córdoba, Spain, pp. 1341-1346, 2011.



• G. Castellano, M.G.C.A. Cimino, A. Fanelli, B. Lazzerini, F. Marcelloni, M.A. Torsello, “A Collaborative Situation-Aware Scheme for Mobile Service Recommendation”, 11th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Córdoba, Spain, pp. 130-135, 2011.



• B. Lazzerini, L. Mkrtchyan, “Pessimistic evaluation of risks using ranking of generalized fuzzy numbers”, IEEE International Systems Conference 2010, San Diego, CA, USA, pp. 143-148, 2010.



• B. Lazzerini, L. Mkrtchyan, “Risk Analysis Using Extended Fuzzy Cognitive Maps”, Proceedings of 2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010), IEEE, Kuala Lampur, Malaysia, pp. 179-182, 2010.



• M. Cococcioni, E. D’Andrea, B. Lazzerini, S.L. Volpi, “Short-time forecasting of renewable production energy in solar photovoltaic installations”, Int. Conf. on Competitive and Sustainable Manufacturing, Products and Services (APMS'10), Como, Italy, pp 1-8, 2010.



• M. Cococcioni, E. D’Andrea, B. Lazzerini, “Providing PRTools with fuzzy rule-based classifiers”, 2010 IEEE International Conference on Fuzzy Systems, pp 1-8, Barcelona, Spain, 2010.



• S.L. Volpi, M. Cococcioni, B. Lazzerini, D. Stefanescu, “Rolling element bearing diagnosis using convex hull”, The 2010 IEEE International Joint Conference on Neural Networks (IJCNN), pp 1-8, Barcelona, Spain, 2010.



• B. Lazzerini, S.L. Volpi, “Noise assessment in the diagnosis of rolling element bearings”, Int. Conf. on Intelligent Computing and Cognitive Informatics (ICICCI'10), Kuala Lumpur, Malaysia, vol. 1, pp. 227-230, 2010.



• M. Antonelli, P. Ducange, B. Lazzerini, F. Marcelloni, “Exploiting a Three-Objective Evolutionary Algorithm for Generating Mamdani Fuzzy Rule-Based Systems”, 2010 IEEE International Conference on Fuzzy Systems (FUZZ), Barcelona, Spain, 2010.



• A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “Using Context History to Personalize a Resource Recommender via a Genetic Algorithm”, 10th Int. Conf. on Intelligent Systems Design and Applications (ISDA'10), pp 965-970, 2010.



• 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, pp. 206-212, 2009.



• 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, Spagna, Lectures Notes in Artificial Intelligence, vol. 5572, pp. 613-620, 2009.



• 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, pp. 1033-1038, 2009.



• M. Cococcioni, B. Lazzerini, S.L. Volpi, “Bearing condition monitoring using classifier fusion”, Artificial Intelligence and Soft Computing, Palma de Mallorca, Spain, 2009.



• M. Cococcioni, B. Lazzerini, S.L. Volpi, “Rolling element bearing fault classification using soft computing techniques”, IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, pp. 4926-4931, 2009.



• M. Cococcioni, L. Corucci, B. Lazzerini, “Issues and preliminary results in oil spill detection using optical remotely sensed images”, OCEANS’09, IEEE, pp 1-4, Bremen, 2009.



• B. Lazzerini, L. Mkrtchyan, “Ranking of generalized fuzzy numbers and its application to risk analysis”, 2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA 2009), IEEE, Wuhan, China, pp. 249-252, 2009.



• S.L. Volpi, M. Antonelli, B. Lazzerini, F. Marcelloni, D. Stefanescu, “Segmentation and reconstruction of the lung and the mediastinum volumes in CT images”, ISABEL 2009. 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, Bratislava, Slovak Republic, 2009.



• A. Ciaramella, M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, “Situation-aware mobile service recommendation with fuzzy logic and semantic web”, 9th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Pisa, Italy, pp. 1037-1042, 2009.



• S.L. Volpi, B. Lazzerini, D. Stefanescu, “Time Evolution analysis of bearing faults”, Intelligent Systems and Control (ISC 2009), Cambridge, Massachusetts, U.S., 2009.



• 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”, 9th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Pisa, Italy, pp. 115-120, 2009.



• M. Cococcioni, B. Lazzerini, S.L. Volpi, “Automatic diagnosis of defects of rolling element bearings based on computational intelligence techniques”, 9th Int. Conf. on Intelligent Systems Design and Applications, IEEE, Pisa, Italy, pp. 970-975, 2009.



• M. Antonelli, M. Cococcioni, B. Lazzerini, F. Marcelloni, D. Stefanescu, “A multi-classifier system for pulmonary nodule classification”, IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, pp. 587-589, 2008.



• 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 (HIS 2008), pp. 278-283, 2008.



• A. Botta, P. Ducange, B. Lazzerini, F. Marcelloni, “A Multi-Objective Cooperative Coevolutionary Approach to Mamdani Fuzzy System Generation”, IPMU 2008, Malaga (Spain), pp. 1143-1150, 2008.



• P. Ducange, R. Alcalà, F. Herrera, B. Lazzerini, F. Marcelloni, “Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-Objective Evolutionary Framework”, 3rd International Workshop of Hybrid Artificial Intelligent Systems, Burgos (Spain), pp 747-754, 2008.



• 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), IEEE, Singapore, 12-15 October, pp. 1782-1787, 2008.



• 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, IEEE, Barcelona, Spain, 10-12 September, pp. 272-277, 2008.



• 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, UK, pp. 1137-1142, 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, UK, pp. 782-787, 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, pp. 303-310, 2007.



• M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni, “A New Multi-Objective Evolutionary Algorithm based on Convex Hull for Binary Classifier Optimization”, IEEE Congress on Evolutionary Computation (CEC), IEEE, Singapore, September 25-28, pp. 3150-3156, 2007.



• A. Botta, B. Lazzerini, F. Marcelloni, 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 November, pp. 19-21, 2007.



• 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, pp. 35-42, 2006.



• A. Botta, B. Lazzerini, F. Marcelloni, “Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm”, 2006 IEEE International Conference on Fuzzy Systems, Vancouver, Canada, pp. 1641-1648, 2006.



• 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, 2006.



• 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, 2006.



• 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, 2006.



• 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, Trento, Italy, pp. 366-369, 2005.



• M. Antonelli, B. Lazzerini, F. Marcelloni, “Segmentation and reconstruction of the lung volume in CT images”, 20th Annual ACM Symposium on Applied Computing, Santa Fe, New Mexico, pp. 255-259, 2005.



• M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni, A. Tomasi, “Cerere: an information system supporting traceability in the food supply chain”, Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005, Munich, Germany, July 19, pp. 90-98, 2005.



• A. Botta, B. Lazzerini, F. Marcelloni, “Integrating service-oriented technologies to support business processes”, Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005, Munich, Germany, July 19, pp. 37-42, 2005.



• E. Vecchio, B. Lazzerini, S. Foley, A. Donati, “Spacecraft fault analysis using data mining techniques”, 8-th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Monaco (D), 2005.



• 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, 2005.



• 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, Lecture Notes in Artificial Intelligence 3849, Springer, pp. 172-177 2005.



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



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



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



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



• M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni, “Lung nodule detection in CT scans”, ICCI 2004, Istanbul, Turkey, p.365-368, 2004.



• M.G.C.A. Cimino, G. Frosini, B. Lazzerini, F. Marcelloni, “On the noise distance in robust fuzzy C-means”, ICCI 2004, December 2004, Istanbul, Turkey, p. 361-364, 2004.



• 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, pp. 212-215, 2003.



• 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, pp. 208-211, 2003.



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



• 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, pp. 725-729, 2003.



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



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



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



• 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, IEEE, New Orleans, pp. 546 –551, 2002.



• 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, IEEE, Toronto, Canada, pp. 98-101, 2002.



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



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



• B. Lazzerini, F. Marcelloni, V. La Rosa, “Combining Context, Statistics and Fuzzy Modelling for Automatic Recognition of Handwritten Sentences”, KES’2001, September, Osaka, Japan, pp. 1595-1599, 2001.



• G. Frosini, B. Lazzerini, F. Marcelloni, “A modified fuzzy C-means algorithm for feature selection”, NAFIPS’2000, IEEE, Atlanta, pp. 148-152, 2000.



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



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