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Giuseppe Mastronardi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Francesco Introna Jr., Giuseppe Mastronardi
    Compactness Descriptors for Human Face: 2D-Morphometric Analysis. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 1994, pp:239-240 [Conf]
  2. G. De Ruvo, P. De Ruvo, Francescomaria Marino, Giuseppe Mastronardi, Pier Luigi Mazzeo, Ettore Stella
    A FPGA-Based Architecture for Automatic Hexagonal Bolts Detection in Railway Maintenance. [Citation Graph (0, 0)][DBLP]
    CAMP, 2005, pp:219-224 [Conf]
  3. Francescomaria Marino, Giuseppe Mastronardi
    Quality Enhancement in Image Enlargement. [Citation Graph (0, 0)][DBLP]
    ICIAP, 1995, pp:435-440 [Conf]
  4. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Mario Marinelli
    A Neural Network Approach to Medical Image Segmentation and Three-Dimensional Reconstruction. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:22-31 [Conf]
  5. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina
    Genetic Algorithm and Neural Network Based Classification in Microarray Data Analysis with Biological Validity Assessment. [Citation Graph (0, 0)][DBLP]
    ICIC (3), 2006, pp:475-484 [Conf]
  6. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, Davide Nitti
    Stereo-Matching Techniques Optimisation Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:612-621 [Conf]
  7. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Antonio Pedone, G. Romanazzi, D. Daleno
    Hidden Markov Models for Recognition Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:126-134 [Conf]
  8. Marcello Castellano, Giuseppe Mastronardi, Vitoantonio Bevilacqua, E. Nappi
    Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:159-0 [Conf]
  9. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Giuseppe Piscopo
    Evolutionary Approach to Inverse Planning in Coplanar Radiotherapy. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:183-190 [Conf]
  10. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina
    Hybrid Data Ananlysis Methods and Artificial Neural Network Design in Breast Cancer Diagnosis: IDEST Experience. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:373-378 [Conf]
  11. R. Bellotti, P. Cerello, S. Tangaro, Vitoantonio Bevilacqua, Marcello Castellano, Giuseppe Mastronardi, F. De Carlo, S. Bagnasco, U. Bottigli, R. Cataldo
    Distributed medical images analysis on a Grid infrastructure. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2007, v:23, n:3, pp:475-484 [Journal]
  12. Vitoantonio Bevilacqua, Giuseppe Mastronardi, Giuseppe Piscopo
    Evolutionary approach to inverse planning in coplanar radiotherapy. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:2, pp:196-203 [Journal]
  13. Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua
    Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:431- [Conf]
  14. Vitoantonio Bevilacqua, A. Aulenta, E. Carioggia, Giuseppe Mastronardi, Filippo Menolascina, G. Simeone, Angelo Paradiso, A. Scarpa, D. Taurino
    Metallic Artifacts Removal in Breast CT Images for Treatment Planning in Radiotherapy by Means of Supervised and Unsupervised Neural Network Algorithms. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2007, pp:1355-1363 [Conf]
  15. Vitoantonio Bevilacqua, Cosimo G. de Musso, Filippo Menolascina, Giuseppe Mastronardi, Antonio Pedone
    Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:1107-1114 [Conf]
  16. Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso
    Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:830-837 [Conf]

  17. Applying a Flexible Mining Architecture to Intrusion Detection. [Citation Graph (, )][DBLP]


  18. Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective. [Citation Graph (, )][DBLP]


  19. An Evolutionary Method for Model-Based Automatic Segmentation of Lower Abdomen CT Images for Radiotherapy Planning. [Citation Graph (, )][DBLP]


  20. Automatic Facial Feature Points Detection. [Citation Graph (, )][DBLP]


  21. Biomedical Text Mining Using a Grid Computing Approach. [Citation Graph (, )][DBLP]


  22. Face Detection by Means of Skin Detection. [Citation Graph (, )][DBLP]


  23. Extending Hough Transform to a Points' Cloud for 3D-Face Nose-Tip Detection. [Citation Graph (, )][DBLP]


  24. Retinal Fundus Biometric Analysis for Personal Identifications. [Citation Graph (, )][DBLP]


  25. A Multi-objective Genetic Algorithm Based Approach to the Optimization of Oligonucleotide Microarray Production Process. [Citation Graph (, )][DBLP]


  26. Defects Identification in Textile by Means of Artificial Neural Networks. [Citation Graph (, )][DBLP]


  27. High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules. [Citation Graph (, )][DBLP]


  28. Relevant Measurements for Polyps in 3D Virtual Colonoscopy. [Citation Graph (, )][DBLP]


  29. Image Processing Framework for Virtual Colonoscopy. [Citation Graph (, )][DBLP]


  30. Combined Use of Densitometry and Morphological Analysis to Detect Flat Polyps. [Citation Graph (, )][DBLP]


  31. Retinal Vessel Extraction by a Combined Neural Network-Wavelet Enhancement Method. [Citation Graph (, )][DBLP]


  32. Experimental Comparison among 3D Innovative Face Recognition Frameworks. [Citation Graph (, )][DBLP]


  33. Intrusion Detection Using Neural Networks: A Grid Computing Based Data Mining Approach. [Citation Graph (, )][DBLP]


  34. A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem. [Citation Graph (, )][DBLP]


  35. Composing Miners to Develop an Intrusion Detection Solution. [Citation Graph (, )][DBLP]


  36. A bioinformatics knowledge discovery in text application for grid computing. [Citation Graph (, )][DBLP]


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