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BEATRICE LAZZERINI

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Professore Ordinario presso Dipartimento di Ingegneria dell' Informazione: Elettronica, Informatica, Telecomunicazioni
Membro della Facolta' di Ingegneria
Settore scientifico disciplinare ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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Articolo in rivista
1. B. Lazzerini, F. Marcelloni, L.M. Reyneri,Beatrix: a self-learning system for off-line recognition of handwritten texts, PATTERN RECOGNITION LETTERS,vol. 18,num. 6,pp 583,tot.pag 11,1997
2. G. Frosini, B. Lazzerini, F. Marcelloni,Performing automatic exams, COMPUTERS & EDUCATION,vol. 31,num. 3,pp 281,tot.pag 19,1998
3. 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. 28,num. 1,pp 55,tot.pag 19,1998
4. D. Dumitrescu, B. Lazzerini, A. Lehene,A genetic algorithm for symbolic data clustering, Studia Universitatis Babes-Bolyai, Informatica,vol. 43,num. 1,pp 61-74,tot.pag 14,1998
5. 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,num. 3,pp 164,tot.pag 14,1998
6. B. Lazzerini, A. Maggiore, L.M. Reyneri,Hybrid intelligent control: implementation and application, INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS,vol. 2,num. 2,pp 102,tot.pag 9,1998
7. D. Dumitrescu, L. Hui, B. Lazzerini,Hierarchical data structure detection using evolutionary algorithms, Studia Universitatis Babes-Bolyai, Informatica,vol. 43,num. 2,pp 3-12,tot.pag 10,1998
8. D. Dumitrescu, D. Avram, B. Lazzerini,Evolutionary programming: An application to clustering, Studia Universitatis Babes-Bolyai, Informatica,vol. 43,num. 1,pp 47-60,tot.pag 14,1998
9. B. Lazzerini, A. Maggiore, F. Marcelloni,Classification of odour samples from a multisensor array using a new linguistic fuzzy method, ELECTRONICS LETTERS,vol. 34,num. 23,pp 2229,tot.pag 0,1998
10. U. Halici, L.C. Jain, K. Leblebicioglu, B. Lazzerini, L.I. Kuncheva,Parabolic evolutionary algorithms, ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY,vol. 1,num. 3,pp 217,tot.pag 13,1998
11. G. Dini, F. Failli, B. Lazzerini, F. Marcelloni,Generation of optimized assembly sequences using genetic algorithms, ANNALS OF THE CIRP,vol. 48,num. 1,pp 17,tot.pag 4,1999
12. B. Lazzerini, F. Marcelloni,Assembly planning based on genetic algorithms, INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS,vol. 3,num. 4,pp 200,tot.pag 5,1999
13. B. Lazzerini, L.M. Reyneri, M. Chiaberge,A neuro-fuzzy approach to hybrid intelligent control, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS,vol. 35,num. 2,pp 413,tot.pag 13,1999
14. B. Lazzerini, F. Marcelloni,A linguistic fuzzy recogniser of off-line handwritten characters, PATTERN RECOGNITION LETTERS,vol. 21,num. 4,pp 319,tot.pag 8,2000
15. D. Dumitrescu, B. Lazzerini, F. Marcelloni,A fuzzy hierarchical classification system for olfactory signals, PATTERN ANALYSIS AND APPLICATIONS,vol. 3,num. 4,pp 325,tot.pag 9,2000
16. B. Lazzerini, F. Marcelloni,Reducing computation overhead in MISO fuzzy systems, FUZZY SETS AND SYSTEMS,vol. 113,num. 3,pp 485,tot.pag 11,2000
17. B. Lazzerini, F. Marcelloni,Some considerations on input and output partitions to produce meaningful conclusions in fuzzy inference, FUZZY SETS AND SYSTEMS,vol. 113,num. 2,pp 221,tot.pag 14,2000
18. B. Lazzerini, F. Marcelloni,A genetic algorithm for generating optimal assembly plans, ARTIFICIAL INTELLIGENCE IN ENGINEERING,vol. 14,num. 4,pp 319,tot.pag 10,2000
19. B. Lazzerini, F. Marcelloni,Counteracting drift of olfactory sensors by appropriately selecting features, ELECTRONICS LETTERS,vol. 36,num. 6,pp 509,tot.pag 2,2000
20. B. Lazzerini, A. Maggiore, F. Marcelloni,FROS: a fuzzy logic-based recogniser of olfactory signals, PATTERN RECOGNITION,vol. 34,num. 11,pp 2215-2226,tot.pag 12,2001
21. B. Lazzerini, F. Marcelloni,A fuzzy approach to 2-D shape recognition, IEEE TRANSACTIONS ON FUZZY SYSTEMS,vol. 9,num. 1,pp 5-16,tot.pag 12,2001
22. Lazzerini B., Marcelloni F.,Feature Selection based on Similarity, ELECTRONICS LETTERS,vol. 38,num. 3,pp 121-122,tot.pag 2,2002
23. B. Lazzerini, F. Marcelloni,Classification based on Neural Similarity, ELECTRONICS LETTERS,vol. 38,num. 15,pp 810-812,tot.pag 3,2002
24. B. Lazzerini, F. Marcelloni, G. Marola,Calibration of positron emission tomograph detector modules using new neural method, ELECTRONICS LETTERS,vol. 40,num. 6,pp 360-361,tot.pag 2,2004
25. 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,num. 3,pp 1360-1373,tot.pag 14,2004
26. 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,num. 1,pp 775-782,tot.pag 13,2004
27. P. Corsini, B. Lazzerini, F. Marcelloni,A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm, SOFT COMPUTING,vol. 9,num. 6,pp 439-447,tot.pag 9,2005
28. P. Corsini, B. Lazzerini, F. Marcelloni,Combining supervised and unsupervised learning for data clustering, NEURAL COMPUTING & APPLICATIONS,num. 3-4,pp 289-297,tot.pag 9,2006
29. 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,vol. 39,num. 11,pp 2077-2091,tot.pag 15,2006
30. M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni,A Pareto-based Multi-Objective Evolutionary Approach to the Identification of Mamdani Fuzzy Systems, SOFT COMPUTING,vol. 11,pp 1013-1031,2007
31. 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,pp 2846-2860,2007
32. B. Lazzerini, F. Marcelloni,A hierarchical fuzzy clustering-based system to create user profiles, SOFT COMPUTING,vol. 11,num. 2,pp 157-168,tot.pag 12,2007
33. Botta Alessio, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Context adaptation of Mamdani fuzzy rule-based systems, INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,vol. 23,pp 397,tot.pag 21,2008
34. COCOCCIONI MARCO, CORSINI GIOVANNI, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,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,pp 339,tot.pag 17,2008
35. CIMINO MARIO GIOVANNI COSIMO ANTONIO, Pedrycz Witold, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Using Multilayer Perceptrons as Receptive Fields in the Design of Neural Networks, NEUROCOMPUTING,vol. 72,pp 2536,tot.pag 13,2009
36. Alcala' Rafael, DUCANGE PIETRO, Herrera Francisco, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A Multi-objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-based Systems, I E E E TRANSACTIONS ON FUZZY SYSTEMS,vol. 17,pp 1106,tot.pag 16,2009
37. Alessio Botta, LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Dan Stefanescu,Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index, SOFT COMPUTING,vol. 13/5,pp 437,tot.pag 13,2009
38. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Learning Concurrently Partition Granularities and Rule Bases of Mamdani Fuzzy Systems in a Multi-Objective Evolutionary Framework, INTERNATIONAL JOURNAL OF APPROXIMATE REASONING,vol. 50,pp 1066,tot.pag 15,2009
39. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Multi-objective Evolutionary Learning of Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Systems, EVOLUTIONARY INTELLIGENCE,vol. 2,pp 21,tot.pag 17,2009
40. LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Vecchio Massimo,A Multi-Objective Evolutionary Approach to Image Quality/Compression Trade-Off in JPEG Baseline Algorithm, APPLIED SOFT COMPUTING,vol. 10,pp 548,tot.pag 14,2010
41. Ciaramella Alessandro, CIMINO MARIO GIOVANNI COSIMO ANTONIO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A Situation-Aware Resource Recommender based on Fuzzy and Semantic Web Rules, INTERNATIONAL JOURNAL OF UNCERTAINTY, FUZZINESS AND KNOWLEDGE-BASED SYSTEMS,pp 411,tot.pag 20,2010
42. DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Multi-objective Genetic Fuzzy Classifiers for Imbalanced and Cost-sensitive Datasets, SOFT COMPUTING: A FUSION OF FOUNDATIONS, METHODOLOGIES AND APPLICATIONS,pp 713,tot.pag 16,2010
43. LAZZERINI BEATRICE, VOLPI SARA LIOBA,Classifier ensembles to improve the robustness to noise of bearing fault diagnosis, PATTERN ANALYSIS AND APPLICATIONS,pp 1,tot.pag 17,tot. autori 2,2011
44. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,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,pp 1,tot.pag 18,2011
45. COCOCCIONI MARCO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,On Reducing Computational Overhead in Multi-Objective Genetic Takagi-Sugeno Fuzzy Systems, APPLIED SOFT COMPUTING,vol. 11/1,pp 675,tot.pag 14,2011
46. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,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,pp 1,tot.pag 20,2011
47. Antonelli Michela, COCOCCIONI MARCO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Computer-Aided Detection of Lung Nodules based on Decision Fusion Techniques, PATTERN ANALYSIS AND APPLICATIONS,vol. 14/3,pp 295,tot.pag 16,2011
48. LAZZERINI BEATRICE, Mkrtchyan Lusine,Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps, IEEE SYSTEMS JOURNAL,pp 288,tot.pag 10,2011
49. Bombara G., COCOCCIONI MARCO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,S-NNLS: an Efficient Non-Negative Least Squares Algorithm for Sequential Data, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING,vol. 27,pp 770,tot.pag 4,2011
Articolo su rivista scientifica Index Medicus, Science Citation Index
1. F. Di Francesco, B. Lazzerini, F. Marcelloni, G. Pioggia,An electronic nose for odour annoyance assessment, ATMOSPHERIC ENVIRONMENT,vol. 35,pp 1225-1234,tot.pag 10,2001
Libro divulgativo
1. G. Frosini, B. Lazzerini,Calcolatori Elettronici - Volume IV - Aspetti Architetturali Avanzati e Nucleo di Sistema Operativo,tot.pag. 165,edizione Edizioni ETS,2002
Libro, manuale o trattato
1. P. Corsini, G. Frosini, B. Lazzerini,Architettura dei calcolatori,tot.pag. 433,1997
2. D. Dumitrescu, B. Lazzerini, L.C. Jain,Fuzzy sets and their application to clustering and training,tot.pag. 622,2000
3. D. Dorbol�, G. Frosini, B. Lazzerini,Programmazione a oggetti con riferimento al C++,tot.pag. 304,2000
4. D. Dumitrescu, B. Lazzerini, L.C. Jain, A. Dumitrescu,Evolutionary computation,tot.pag. 386,2000
Capitolo, parte o articolo in libro
1. 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,,pp 167, CRC Press,tot.pag. 23,1999
2. L.C. Jain, B. Lazzerini,An introduction to handwritten character and word recognition in Knowledge-Based Intelligent Techniques in Character Recognition,,pp 3, CRC Press,tot.pag. 14,1999
3. 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,pp 199, Transworld Research Network,tot.pag. 0,2000
4. CIMINO MARIO GIOVANNI COSIMO ANTONIO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Fuzzy clustering based on dissimilarity relations extracted from data in Fuzzy clustering and its applications,pp 265, 283, John Wiley and Sons,tot. autori 3,2007
5. COCOCCIONI MARCO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems in Computational Intelligence in Expensive Optimization Problems,pp 1, 20,2009
Articolo in atti di congresso
1. S. Zickenheiner, F. Henritzi, K. Waldschmidt, E. Rossi, L.Schiuma, L.M. Reyneri, B. Lazzerini,Accelerating neural based recognition of handwritten sentences by dataflow computation, Neural Networks and their Applications, pp 243, Marseilles (F),vol. 1,1996
2. B. Lazzerini, F. Marcelloni,Reasonable conclusions in fuzzy reasoning, 8th IEEE International Conference on Tools with Artificial Intelligence, pp 440, Toulouse (F),vol. 1,1996
3. G. Di Bene, B. Lazzerini, L.M. Reyneri, L. Sensi,Improving non-linear system control performance by means of embedded neuro-fuzzy controllers, 27th International Symposium on Industrial Robots, pp 811, Milano,vol. 1,1996
4. M. Chiaberge, G. Di Bene, S. Di Pascoli, B. Lazzerini, A. Maggiore, L.M. Reyneri,On the design and implementation of hybrid intelligent controllers, Neural Networks and their Applications, pp 179, Marseilles (F),vol. 1,1996
5. B. Lazzerini, F. Marcelloni,Improving performance of MISO fuzzy systems, Second International Symposium on Fuzzy Logic and Applications, pp 82, Zurich (CH),vol. 1,1997
6. L.M. Reyneri, F. Gregoretti, B. Lazzerini, R. Passerone,A 32-neurons slice for high speed handwriting recognition, MICRONEURO 97, Int'l Conf. on Microelectronics for Neural Networks and Fuzzy Systems, pp 40, Dresden (D),vol. 1,1997
7. B. Lazzerini, A. Maggiore,A method to build fuzzy models from recorded data, Second International Symposium on Fuzzy Logic and Applications, pp 64, Zurich (CH),vol. 1,1997
8. G. Frosini, B. Lazzerini, A. Maggiore, F. Marcelloni,A fuzzy classification based system for handwritten character recognition, Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp 61, Adelaide (Australia),vol. 3,1998
9. B. Lazzerini, A. Maggiore,Linguistic fuzzy classification of olfactive signals, FUZZ-IEEE '98, IEEE World Congress on Computational Intelligence, pp 1518, Anchorage (Alaska),vol. 2,1998
10. B. Lazzerini, A. Maggiore,Linguistic modelling based on experimental data, Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp 46, Adelaide (Australia),vol. 2,1998
11. F. Di Francesco, B. Lazzerini, A. Maggiore, F. Marcelloni, D. De Rossi,Electronic nose based on linguistic fuzzy classification, EUFIT�98, 6th European Congress on Intelligent Techniques & Soft Computing, pp 1211, Aachen (D),vol. 2,1998
12. D. Dumitrescu, B. Lazzerini, F. Marcelloni,A fuzzy hierarchical approach to odor classification, VI-DYNN�98, Workshop on Virtual Intelligence - Dynamic Neural Networks, pp 384, Stockholm (S),vol. 1,1998
13. D. Dumitrescu, B. Lazzerini, L. Bodrogi,Genetic chromodynamics � A new concept in evolutionary computing, Informatics and its Applications, pp 61, Cluj-Napoca (Romania),vol. 1,1998
14. B. Lazzerini, F. Marcelloni, G. Dini, F. Failli,Assembly planning based on genetic algorithms, NAFIPS�99, 18th International Conference of the North American Fuzzy Information Processing Society, pp 482, New York,vol. 1,1999
15. B. Lazzerini, A. Maggiore, F. Marcelloni,A new linguistic fuzzy approach to recognition of olfactory signals, 1999 International Joint Conference on Neural Networks, pp 3225, Washington D.C.,vol. 3,1999
16. B. Lazzerini. F. Marcelloni,Fuzzy classification of handwritten characters, NAFIPS�99, 18th International Conference of the North American Fuzzy Information Processing Society, pp 566, New York,vol. 1,1999
17. F. Di Francesco, B. Lazzerini, F. Marcelloni, G. Pioggia,,Sniffer: An electronic nose, KES'99, Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, pp 195, Adelaide (Australia),vol. 1,1999
18. D. Dumitrescu, B. Lazzerini, F. Marcelloni,Olfactory signal classification based on evolutionary programming, 1999 International Joint Conference on Neural Networks, pp 313, Washington D.C.,vol. 1,1999
19. G. Bargagna, B. Lazzerini, A. Partridge,Fuzzy logic based classification of olive oils, ISOEN 2000, 7th International Symposium on Olfaction & Electronic Nose, pp 133, Brighton, UK,vol. 1,2000
20. 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, pp 94, Brighton, UK,vol. 1,2000
21. B. Lazzerini, F. Marcelloni, L.M. Reyneri,Neuro-fuzzy off-line recognition of handwritten sentences, KES�2000, Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, pp 440, Brighton, UK,vol. 1,2000
22. G. Frosini, B. Lazzerini, F. Marcelloni,A modified fuzzy C-means algorithm for feature selection, NAFIPS�2000, 19th International Conference of the North American Fuzzy Information Processing Society, pp 148, Atlanta, U.S.A.,vol. 1,2000
Atto di convegno internazionale con revisori articolo in extenso
1. B. Lazzerini, F. Marcelloni, V. La Rosa,Combining context, statistics and fuzzy modelling for automatic recognition of handwritten sentences, KES'2001Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp 1595-1599, Osaka, Japan,vol. 2,2001
2. P. Corsini, B. Lazzerini, F. Marcelloni,Clustering based on a dissimilarity measure derived from data, KES 2002, pp 885-889, Crema,vol. 2,2002
3. M. Cococcioni, G. Frosini, B. Lazzerini, F. Marcelloni,A new approach to combining outputs of multiple classifiers, NAFIPS 2002, pp 400-405, New Orleans,vol. 1,2002
4. 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, pp 546-551, New Orleans,vol. 1,2002
5. B. Lazzerini, F. Marcelloni,,k-NN algorithm based on Neural Similarity, IEEE International Conference on Artificial Intelligence Systems, pp 67-70, Gelendgik (Russia),vol. 1,2002
6. 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, pp 725-729, Zittau,vol. 1,2003
7. 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, pp 3194-3199,vol. 1,2003
8. B. Lazzerini, F. Marcelloni, M. Cococcioni,A system based on hierarchical fuzzy clustering for web users profiling, IEEE SMC 2003, pp 1995-2000, Washington,vol. 1,2003
9. M. Cococcioni, B. Lazzerini, F. Marcelloni,An artificial olfactory system for qualit� and geographical discrimination of olive oils, KES 2003, pp 647-653, Oxford,vol. 1,2003
10. P. Corsini, L. De Dosso, B. Lazzerini, F. Marcelloni,Relational clustering starting from non-Euclidean dissimilarity relations, 10th International Fuzzy Systems Association Worlds Congress 2003, pp 212-215, Istanbul,vol. 1,2003
11. 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, pp 208-211, Istanbul,vol. 1,2003
12. M.G.C.A. Cimino, B. Lazzerini, F. Marcelloni,A Novel Approach to Robust Fuzzy Clustering of Relational Data, NAFIPS 2004, pp 90-94, Banff (CANADA),vol. 1,2004
13. M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni,Lung nodule detection in CT scans, International Conference On Computational Intelligence, pp 365-368, Istanbul,vol. 1,2004
14. B. Lazzerini, F. Marcelloni, G. Marola, S. Galigani,Neural network-based calibration of positron emission tomograph detector modules, ESANN'2004, pp 269-274, Bruges,vol. 1,2004
15. M. Cococcioni, B. Lazzerini, F. Marcelloni,A TSK Fuzzy Model for Combining Outputs of Multiple Classifiers, NAFIPS 2004, pp 871-875, Banff (CANADA),vol. 1,2004
16. 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, pp 361-364, Istanbul,vol. 1,2004
17. 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, pp 172-177,vol. LNAI 3849,2005
18. 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, pp 37-42, Munich, Germany,,vol. 1,2005
19. 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, pp 90-98, Munich, Germany,,vol. 1,2005
20. M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni,Automated Detection of Pulmonary Nodules in CT Scans, CIMCA 2005, pp 799-803, Vienna,vol. 1,2005
21. M. Antonelli, B. Lazzerini, F. Marcelloni,,Segmentation and reconstruction of the lung volume in CT images, 20th Annual ACM Symposium on Applied Computing, pp 255-259, Santa Fe, New Mexico,,vol. 1,2005
22. 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, pp 1-10, Milano,vol. 1,2005
23. Vecchio Enrica, LAZZERINI BEATRICE, Foley Steve, Donati Alessandro,Spacecraft fault analysis using data mining techniques, ISAIRAS 2005, 8th Int. Symp. on Artificial Intelligence, Robotics and Automation in Space, pp 100-107, Munich, Germany,vol. 1, tot. autori 4,2005
24. 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, pp 366-369,vol. 1,2005
25. M. Cococcioni, P. Ducange, B. Lazzerini and F. Marcelloni,A Comparison of Multi-Objective Evolutionary Algorithms in Fuzzy Rule-Based Systems Generation, NAFIPS 2006, pp 463-468, Montreal,vol. 1,2006
26. 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, pp 7832-7839, Vancouver,vol. 1,2006
27. Antonelli Michela, FROSINI GRAZIANO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A CAD system for lung nodule detection based on an anatomical model and a fuzzy neural network, NAFIPS 2006, pp 469-474, MONTREAL,vol. 1, tot. autori 4,2006
28. A. Botta, B. Lazzerini, F. Marcelloni,,New Operators for Context Adaptation of Mamdani Fuzzy Systems, FLINS Conference on Applied Artificial Intelligence, pp 35-42, Genova,vol. 1,2006
29. Beatrice Lazzerini, Francesco Marcelloni, Massimo Vecchio, Silvio Croce, Emmanuele Monaldi,,A Fuzzy Approach to Data Aggregation to Reduce Power Consumption in Wireless Sensor Networks, NAFIPS 2006, pp 457-462, Montreal,vol. 1,2006
30. Botta Alessio, LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Stefanescu Dan,A Survey of Approaches to Context Adaptation of Fuzzy Systems, The 10th IASTED International Conference on Intelligent Systems and Control ISC 2007, pp 1-6, Cambridge, Massachusetts, USA,2007
31. Botta Alessio, LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Stefanescu Dan,Exploiting fuzzy ordering relations to preserve interpretability in context adaptation of fuzzy systems, FUZZ-IEEE 2007, pp 1137-1142, London,2007
32. ANTONELLI MICHELA, COCOCCIONI MARCO, FROSINI GRAZIANO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans, KES 2007, pp 303-310, Vietri sul Mare,vol. LNAI 4692,2007
33. COCOCCIONI MARCO, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Evolutionary multi-objective optimization of fuzzy rule-based classifiers in the ROC space, Fuzzy-IEEE, pp 782-787, London,2007
34. COCOCCIONI MARCO, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A New Multi-Objective Evolutionary Algorithm based on Convex Hull for Binary Classifier Optimization, IEEE Congress on Evolutionary Computation, pp 3150-3156, Singapore, tot. autori 4,2007
35. Cococcioni Marco, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification, 8th International Conference on Hybrid Intelligent Systems, pp 272-277,2008
36. Botta Alessio, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A multi-objective cooperative coevolutionary approach to Mamdani fuzzy system generation, IPMU 2008, pp 1143-1150, Malaga (Spain),2008
37. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,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
38. Cococcioni Marco, Foschini L, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Complexity Reduction of Mamdani Fuzzy Systems through Multi-valued Logic Minimization, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), pp 1782-1787,2008
39. DUCANGE PIETRO, Alcal� Rafael, Herrrera Francisco, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework, 3rd International Workshop of Hybrid Artificial Intelligent Systems, pp 747-754, Burgos (Spain),2008
40. LAZZERINI BEATRICE, Mkrtchyan Lusine,Ranking of generalized fuzzy numbers and its application to risk analysis, Conference on Computational Intelligence and Industrial Applications, pp 249-252, Wuhan, China,2009
41. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-based Systems, ISDA 2009, pp 115-120, PISA,2009
42. COCOCCIONI MARCO, CORUCCI LINDA, LAZZERINI BEATRICE,Issues and preliminary results in oil spill detection using optical remotely sensed images, OCEANS�09-IEEE, pp 1-4, Bremen,2009
43. VOLPI SARA LIOBA, LAZZERINI BEATRICE, Stefanescu Dan,Time Evolution analysis of bearing faults, IASTED Int. Conf. on Intelligent Systems and Control (ISC'09), pp 131-137, Cambridge, Massachusetts, U.S.,vol. 1,2009
44. Cococcioni Marco, LAZZERINI BEATRICE, VOLPI SARA LIOBA,Rolling element bearing fault classification using soft computing techniques, IEEE International Conference on Systems, Man, and Cybernetics, pp 4926-4931, San Antonio, Texas, USA,vol. 1,2009
45. Cococcioni Marco, LAZZERINI BEATRICE, Volpi Sara lioba,Bearing condition monitoring using classifier fusion, ASC 2009, Int. Conf. on Artificial Intelligence and Soft Comoputing, pp 131-137, Palma de Mallorca, Spain,vol. 1,2009
46. Antonelli Michela, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems, 4th International Conference on Hybrid Artificial Intelligence Systems, pp 613-620, Salamanca,vol. 5572,2009
47. Ciaramella Alessandro, CIMINO MARIO GIOVANNI COSIMO ANTONIO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Using BPMN and Tracing for Rapid Business Process Prototyping Environments, International Conference on Enterprise Information Systems, pp 206-212, Milan,vol. III, tot. autori 4,2009
48. Ciaramella Alessandro, CIMINO MARIO GIOVANNI COSIMO ANTONIO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web, ISDA'09, pp 1037-1042,2009
49. LAZZERINI BEATRICE, VOLPI SARA LIOBA, COCOCCIONI MARCO,Automatic diagnosis of defects of rolling element bearings based on computational intelligence techniques, IEEE Int. Conf. on Intelligent Systems Design and Applications (ISDA'09), pp 970-975, Pisa, Italy,vol. 1,2009
50. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems, IFSA/EUSFLAT 2009, pp 1033-1038, Lisbon,2009
51. VOLPI SARA LIOBA, ANTONELLI MICHELA, LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Stefanescu Dan,Segmentation and reconstruction of the lung and the mediastinum volumes in CT images, IEEE Int. Symp. on Applied Sciences in Biomedical and Communication Technologies (ISABEL'09), pp ---, Bratislava, Slovak Republic,vol. 1,2009
52. ANTONELLI MICHELA, DUCANGE PIETRO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Exploiting a Three-Objective Evolutionary Algorithm for Generating Mamdani Fuzzy Rule-Based Systems, WCCI 2010, pp 1-8, Barcellona,2010
53. LAZZERINI BEATRICE, VOLPI SARA LIOBA,Noise assessment in the diagnosis of rolling element bearings, Int. Conf. on Intelligent Computing and Cognitive Informatics (ICICCI'10), pp 227-230, Kuala Lumpur, Malaysia,vol. 1, tot. autori 2,2010
54. VOLPI SARA LIOBA, LAZZERINI BEATRICE, Stefanescu Dan, COCOCCIONI MARCO,Rolling element bearing diagnosis using convex hull, IEEE World Congress on Computational Intelligence (WCCI'10), pp 1-8, Barcelona, Spain,vol. 1, tot. autori 4,2010
55. LAZZERINI BEATRICE, D'ANDREA ELEONORA, VOLPI SARA LIOBA, COCOCCIONI MARCO,Short-time forecasting of renewable production energy in solar photovoltaic installations, Int. Conf. on Competitive and Sustainable Manufacturing, Products and Services (APMS'10), pp 1-8, Como, Italy,vol. 1,2010
56. COCOCCIONI MARCO, D'ANDREA ELEONORA, LAZZERINI BEATRICE,Providing PRTools with fuzzy rule-based classifiers, 2010 IEEE International Conference on Fuzzy Systems (WCCI '10), pp 1-8, Barcelona, Spain, tot. autori 3,2010
57. LAZZERINI BEATRICE, Mkrtchyan Lusine,Risk Analysis Using Extended Fuzzy Cognitive Maps, International Conference on Intelligent Computing and Cognitive Informatics, pp 179-182, Kuala Lampur, Malaysia,2010
58. LAZZERINI BEATRICE, Mkrtchyan Lusine,Pessimistic evaluation of risks using ranking of generalized fuzzy numbers, IEEE International Systems Conference, pp 143-148, San Diego, CA, USA,2010
59. Ciaramella Alessandro, CIMINO MARIO GIOVANNI COSIMO ANTONIO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Using Context History to Personalize a Resource Recommender via a Genetic Algorithm, ISDA'10, pp 965-970,2010
Atto di convegno internazionale con revisori articolo breve / poster
1. 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. IGARSS '02., pp 98-101, Toronto - Canada,vol. 1,2002
2. ANTONELLI MICHELA, COCOCCIONI MARCO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO, Stefanescu Dan,A multi-classifier system for pulmonary nodule classification, The 21th IEEE International Symposium on Computer-Based Medical Systems, pp 587-589, Jyv�skyl�, Finland,2008
Rapporto finale di ricerca pubblicato
1. DUCANGE PIETRO, Fazzolari Michela, FROSINI GRAZIANO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Progetto DAFNE - Analisi dei Risultati, Regione Toscana,2010
2. DUCANGE PIETRO, Fazzolari Michela, FROSINI GRAZIANO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Progetto DAFNE - Progetto e Realizzazione del Sistema di Rilevazione e Diagnosi dei Guasti, Regione Toscana,2010
3. DUCANGE PIETRO, Fazzolari Michela, FROSINI GRAZIANO, LAZZERINI BEATRICE, MARCELLONI FRANCESCO,Progetto DAFNE - Analisi dello Stato dell�Arte, Regione Toscana,2010