Selected Publications

Year: 2013

  • LaRosa, M., Fiannaca, A., Rizzo, R. & Urso, A (2013). A Study of Compression–Based Methods for the Analysis of Barcode Sequences. In Peterson, E., L., Masulli, Francesco, Russo & Giuseppe (editors), Computational Intelligence Methods for Bioinformatics and Biostatistics, pages 105-116. Berlin, Heidelberg : Springer Berlin Heidelberg. [More]
  • Fiannaca, A., DiFatta, G., Rizzo, R., Urso, A. & Gaglio, S. (2013). Simulated annealing technique for fast learning of SOM networks. Neural Computing and Applications, 22(5), 889-899. [More]
  • LaRosa, M., Fiannaca, A., Rizzo, R. & Urso, A. (2013). Alignment-free analysis of barcode sequences by means of compression-based methods. BMC Bioinformatics, 14(Supp7). [More]
  • Fiannaca, A., LaRosa, M., Urso, A., Rizzo, R. & Gaglio, S. (2013). A knowledge-based decision support system in bioinformatics: an application to protein complex extraction. BMC Bioinformatics, 14(Supp1). [More]

Year: 2012

  • Fiannaca, A., Gaglio, S., LaRosa, M., Rizzo, R. & Urso, A (2012). An Intelligent System for Building Bioinformatics Workflows. In Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on, pages 212 - 218. [More]
  • Fiannaca, A., LaRosa, M., Rizzo, R., Urso, A. & Gaglio, S (2012). An ontology design methodology for Knowledge-Based systems with application to bioinformatics. In Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 IEEE Symposium on, pages 85 - 91. [More]
  • LaRosa, M., Fiannaca, A., Rizzo, R. & Urso, A. (2012). Analysis of barcode sequences by means of compression-based methods. EMBnet.journal, 18(A), 92. [More]
  • Fiannaca, A., LaRosa, M., Gaglio, S., Rizzo, R. & Urso, A. (2012). An ontological-based knowledge organization for bioinformatics workflow management system. EMBnet.journal, 18(B), 110-112. [More]

Year: 2011

  • Fiannaca, A., Gaglio, S., LaRosa, M., Peri, D., Rizzo, R. & Urso, A (2011). A Knowledge Based Decision Support System for Bioinformatics and System Biology. In Computational Intelligence Methods for Bioinformatics and Biostatistics, pages 215-228. Springer. [More]
  • Fiannaca, A., LaRosa, M., Peri, D. & Rizzo, R. (2011). An Intelligent System for Decision Support in Bioinformatics. ERCIM News, 84, 35-36. [More]
  • LaRosa, M., Rizzo, R. & Urso, A. (2011). Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. Advances in Artificial Neural Systems, 2011, 1-8. [More]

Year: 2010

  • Fiannaca, A., Gaglio, S., LaRosa, M., Peri, D., Rizzo, R. & Urso, A (2010). A proposed knowledge based approach for solving proteomics issues. In Computational Intelligence Methods for Bioinformatics and Biostatistics, pages 304-318. Springer. [More]

Year: 2009

  • Fiannaca, A., DiFatta, G., Rizzo, R., Urso, A. & Gaglio, S. (2009). Clustering quality and topology preservation in fast learning SOMs. Neural Network World, 19(5), 625-639. [More]
  • Fiannaca, A., Gaglio, S., LaRosa, M., Peri, D., Rizzo, R. & Urso, A (2009). A Decision Support System for Reverse Engineering Gene Regulatory Networks. In SysBioHealth Simposium 2009, pages 81-83. [More]
  • LaRosa, M., Gaglio, S., Rizzo, R. & Urso, A. (2009). Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results. International Journal of Knowledge Engineering and Soft Data Paradigms, 1(4), 345-362. [More]
  • Fiannaca, A., DiFatta, G., Urso, A., Rizzo, R. & Gaglio, S (2009). A New Linear Initialization in SOM for Biomolecular Data. In Masulli, Francesco, Tagliaferri, Roberto, Verkhivker & GennadyM. (editors), Computational Intelligence Methods for Bioinformatics and Biostatistics, pages 177-187. Springer Berlin Heidelberg. [More]

Year: 2008

  • LaRosa, M., Rizzo, R., Urso, A. & Gaglio, S (2008). Comparison of genomic sequences clustering using normalized compression distance and evolutionary distance. In Knowledge-Based Intelligent Information and Engineering Systems, pages 740-746. Springer. [More]
  • Fiannaca, A., Rizzo, R., Urso, A. & Gaglio, S (2008). A New SOM Initialization Algorithm for Nonvectorial Data. In Knowledge-Based Intelligent Information and Engineering Systems, pages 41-48. Springer Berlin Heidelberg. [More]
  • Fiannaca, A., DiFatta, G., Gaglio, S., Rizzo, R. & Urso, A (2008). Clustering Quality and Topology Preservation in Fast Learning SOMs. In Artificial Neural Networks - ICANN 2008, pages 583-592. Springer Berlin Heidelberg. [More]

Year: 2007

  • Fiannaca, A., DiFatta, G., Rizzo, R. & Urso, A (2007). Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds. In Neural Networks, 2007. IJCNN 2007. International Joint Conference on, pages 2776-2781. [More]
  • Fiannaca, A., DiFatta, G., Gaglio, S., Rizzo, R. & Urso, A. (2007). Improved SOM learning using simulated annealing. Artificial Neural Networks--ICANN 2007, 4668, 279-288. [More]
  • LaRosa, M., DiFatta, G., Gaglio, S., Giammanco, G., Rizzo, R. & Urso, A (2007). Soft topographic map for clustering and classification of bacteria. In Advances in Intelligent Data Analysis VII, pages 332-343. Springer. [More]
  • Fiannaca, A., DiFatta, G., Rizzo, R., Urso, A. & Gaglio, S (2007). Self Organizing Maps for Visual Exploration of Molecular Databases. In SysBioHealt Symposium 2007, pages 148-150. [More]

Year: 2006

  • DiFatta, G., Fiannaca, A., Rizzo, R., Urso, A., Berthold, M. & Gaglio, S (2006). Context-Aware Visual Exploration of Molecular Datab. In Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on. [More]
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