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Francesco Marcelloni: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Georgios Tselentis, Francesco Marcelloni, Trevor P. Martin, Luca Sensi
    Odour Classification based on Computational Intelligence Techniques. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:383-399 [Conf]
  2. Mehmet Aksit, Francesco Marcelloni, Bedir Tekinerdogan, Klaas van den Berg, Pim van den Broek
    Active Software Artifacts. [Citation Graph (0, 0)][DBLP]
    ECOOP Workshops, 1997, pp:307-310 [Conf]
  3. Francesco Marcelloni, Mehmet Aksit
    Applying Fuzzy Logic Techniques in Object-Oriented Software Development. [Citation Graph (0, 0)][DBLP]
    ECOOP Workshops, 1997, pp:295-298 [Conf]
  4. 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]
  5. Beatrice Lazzerini, Francesco Marcelloni
    Reasonable Conclusions in Fuzzy Reasoning. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:440-442 [Conf]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. Mehmet Aksit, Francesco Marcelloni
    Deferring elimination of design alternatives in object-oriented methods. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2001, v:13, n:14, pp:1247-1279 [Journal]
  17. Mehmet Aksit, Francesco Marcelloni, Bedir Tekinerdogan
    Developing object-oriented framworks using domain models. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2000, v:32, n:1es, pp:11- [Journal]
  18. Francesco Marcelloni, Mehmet Aksit
    Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:1, pp:57-80 [Journal]
  19. Francesco Marcelloni, Mehmet Aksit
    Leaving inconsistency using fuzzy logic. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 2001, v:43, n:12, pp:725-741 [Journal]
  20. Francesco Marcelloni
    Feature selection based on a modified fuzzy C-means algorithm with supervision. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:151, n:, pp:201-226 [Journal]
  21. Paolo Corsini, Francesco Marcelloni
    A fuzzy system for profiling web portal users from web access log. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:5, pp:503-516 [Journal]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. Francesco Marcelloni
    Recognition of olfactory signals based on supervised fuzzy C-means and k-NN algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:9, pp:1007-1019 [Journal]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]

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


  35. Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


  42. A Multi-objective Evolutionary Approach to Data Compression in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


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


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


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


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


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


  54. Reducing Power Consumption in Wireless Sensor Networks Using a Novel Approach to Data Aggregation. [Citation Graph (, )][DBLP]


  55. An Efficient Lossless Compression Algorithm for Tiny Nodes of Monitoring Wireless Sensor Networks. [Citation Graph (, )][DBLP]


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