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Beatrice Lazzerini: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Beatrice Lazzerini, Francesco Marcelloni, Giovanni Marola, Simone Galigani
    Neural network-based calibration of positron emission tomograph detector modules. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:269-274 [Conf]
  2. Beatrice Lazzerini, Francesco Marcelloni
    Reasonable Conclusions in Fuzzy Reasoning. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:440-442 [Conf]
  3. Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
    Lung Nodule Detection in CT Scans. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:365-368 [Conf]
  4. Mario G. C. A. Cimino, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
    On the Noise Distance in Robust Fuzzy C-Means. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:361-364 [Conf]
  5. Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. Lambert, Beatrice Lazzerini, Adriana Maggiore, Leonardo Maria Reyneri
    EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:666-672 [Conf]
  6. Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
    An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:647-653 [Conf]
  7. Michela Antonelli, Beatrice Lazzerini, Francesco Marcelloni
    Segmentation and reconstruction of the lung volume in CT images. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:255-259 [Conf]
  8. Alessio Bechini, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi
    A General Framework for Food Traceability. [Citation Graph (0, 0)][DBLP]
    SAINT Workshops, 2005, pp:366-369 [Conf]
  9. Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi
    Cerere: an information system supporting traceability in the food supply chain. [Citation Graph (0, 0)][DBLP]
    CEC Workshops, 2005, pp:90-98 [Conf]
  10. A. Botta, Beatrice Lazzerini, Francesco Marcelloni
    Integrating service-oriented technologies to support business processes. [Citation Graph (0, 0)][DBLP]
    CEC Workshops, 2005, pp:37-42 [Conf]
  11. Marco Cococcioni, Pierluigi Guasqui, Beatrice Lazzerini, Francesco Marcelloni
    Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:172-177 [Conf]
  12. Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
    Automated Detection of Pulmonary Nodules in CT Scans. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:799-803 [Conf]
  13. Beatrice Lazzerini, Francesco Marcelloni
    A genetic algorithm for generating optimal assembly plans. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 2000, v:14, n:4, pp:319-329 [Journal]
  14. Paolo Corsini, Beatrice Lazzerini, Francesco Marcelloni
    Combining supervised and unsupervised learning for data clustering. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:3-4, pp:289-297 [Journal]
  15. D. Dumitrescu, Beatrice Lazzerini, Francesco Marcelloni
    A Fuzzy Hierarchical Classification System for Olfactory Signals. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2000, v:3, n:4, pp:325-334 [Journal]
  16. Beatrice Lazzerini, Adriana Maggiore, Francesco Marcelloni
    FROS: a fuzzy logic-based recogniser of olfactory signals. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:11, pp:2215-2226 [Journal]
  17. Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni
    A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:11, pp:2077-2091 [Journal]
  18. Beatrice Lazzerini, Francesco Marcelloni
    A linguistic fuzzy recogniser of off-line handwritten characters. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:4, pp:319-327 [Journal]
  19. Beatrice Lazzerini, Francesco Marcelloni, Leonardo Maria Reyneri
    Beatrix: A self-learning system for off-line recognition of handwritten texts. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:6, pp:583-594 [Journal]
  20. Paolo Corsini, Beatrice Lazzerini, Francesco Marcelloni
    A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:6, pp:439-447 [Journal]
  21. Beatrice Lazzerini, Francesco Marcelloni
    A Hierarchical Fuzzy Clustering-based System to Create User Profiles. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:2, pp:157-168 [Journal]
  22. Paolo Ancilotti, Beatrice Lazzerini, Cosimo Antonio Prete, Maurizio Sacchi
    A Distributed Commit Protocol for a Multicomputer System. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1990, v:39, n:5, pp:718-724 [Journal]
  23. Beatrice Lazzerini, Lanfranco Lopriore
    Abstraction Mechanisms for Event Control in Program Debugging. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 1989, v:15, n:7, pp:890-901 [Journal]
  24. Marco Cococcioni, Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni
    Approaching the ocean color problem using fuzzy rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:3, pp:1360-1373 [Journal]
  25. Michela Antonelli, Marco Cococcioni, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
    Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. [Citation Graph (0, 0)][DBLP]
    KES (1), 2007, pp:303-310 [Conf]
  26. Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
    Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:10, pp:2846-2860 [Journal]

  27. A Multi-Classifier System for Pulmonary Nodule Classification. [Citation Graph (, )][DBLP]


  28. Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. [Citation Graph (, )][DBLP]


  29. Exploiting Fuzzy Ordering Relations to Preserve Interpretability in Context Adaptation of Fuzzy Systems. [Citation Graph (, )][DBLP]


  30. Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification. [Citation Graph (, )][DBLP]


  31. A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. [Citation Graph (, )][DBLP]


  32. Using BPMN and Tracing for Rapid Business Process Prototyping Environments. [Citation Graph (, )][DBLP]


  33. Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. [Citation Graph (, )][DBLP]


  34. Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques. [Citation Graph (, )][DBLP]


  35. Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web. [Citation Graph (, )][DBLP]


  36. SNIFFER: an electronic nose. [Citation Graph (, )][DBLP]


  37. Neuro-fuzzy off-line recognition of handwritten sentences. [Citation Graph (, )][DBLP]


  38. A fuzzy classification based system for handwritten character recognition. [Citation Graph (, )][DBLP]


  39. Linguistic modelling based on experimental data. [Citation Graph (, )][DBLP]


  40. Rolling Element Bearing Fault Classification Using Soft Computing Techniques. [Citation Graph (, )][DBLP]


  41. A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. [Citation Graph (, )][DBLP]


  42. A system based on a modified version of the FCM algorithm for profiling web users from access log. [Citation Graph (, )][DBLP]


  43. Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. [Citation Graph (, )][DBLP]


  44. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. [Citation Graph (, )][DBLP]


  45. A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. [Citation Graph (, )][DBLP]


  46. A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm. [Citation Graph (, )][DBLP]


  47. On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems. [Citation Graph (, )][DBLP]


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