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Publications of Author

1. 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]
   
2. 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]
   
3. 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]
   
4. 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]
   
5. 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]
   
6. 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]
   
7. 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]
   
8. 
   Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective. [Citation Graph (, )][DBLP]
   
   
9. 
   A Multi-objective Genetic Algorithm Based Approach to the Optimization of Oligonucleotide Microarray Production Process. [Citation Graph (, )][DBLP]
   
   
10. 
    High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules. [Citation Graph (, )][DBLP]
    
    
11. 
    A Novel Tool for Assisted In-silico Cloning and Sequence Editing in Molecular Biology. [Citation Graph (, )][DBLP]
    
    
12. 
    A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem. [Citation Graph (, )][DBLP]
    
    
13. 
    Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering. [Citation Graph (, )][DBLP]