Giuliano Armano 

Giuliano Armano is associate professor of Information Processing Systems at the Faculty of Engineering, University of Cagliari. Member of DIEE (Dept. of Electrical and Electronic Engineering, Univ. of Cagliari) since 1993, he is team leader of the “Intelligent Agents and Soft-Computing” group (http://www.iascgroup.it).

SCIENTIFIC SKILLS – With a background on expert systems and machine learning, over the years prof. Armano has investigated various kinds of learning strategies and techniques. His current research interests are focused on ensemble strategies, with particular emphasis on mixtures of experts and hierarchical classification. Additional research interests of prof. Armano are on performance measures for classifier systems, complex networks, and GPUs. These topics have been extensively experimented on various application fields, in particular bioinformatics, information retrieval and text categorization.

TEACHING – Prof. Armano is currently teaching Elements of Bioinformatics, for the degree program in Biomedical Engineering, and Object-Oriented Programming Languages, for the degree program in Electrical and Electronic Engineering. Since 2003, he also teaches a series of yearly seminars on the Python language. Among his past courses, let us recall software engineering –held from 1997 to 2002. All his teaching activities are / have been taught at the Faculty of Engineering and Architecture, University of Cagliari, except for a course in artificial intelligence (bilingual program) held at the University Carlos III of Madrid in 2005.

PARTICIPATION AT / MANAGEMENT OF RESEARCH PROJECTS – Starting from 1999, prof. Armano has been scientific director of several research projects, for a total of about 1.3 million euros. These projects include funding from the local government of Sardinia, from the Italian Ministry of Research, and private funding as well. Prof. Armano has also participated to several research projects as team member, for a total of about 400.000 euros.

ORGANIZATION OF MEETINGS, WORKSHOPS AND CONFERENCES – Prof. Armano has organized several workshops and conferences, including ISCC 2006, NETTAB 2006, AIIA 2008, KDWEB 2015 and KDWEB 2016. He has also been guest editor of some special issues on international journals, including “Multi-Agent Systems for Medicine, Computational Biology, and Bioinformatics” (MultiAgent and Grid Systems Journal) and “GRID, Web Services, Software Agents, and Ontology Applications for Life Sciences” (IEEE Trans. on Nanobiosciences).

SELECTED PUBLICATIONS (according to the number of citations)

  • G. Armano, M. Marchesi and A. Murru, "A hybrid genetic-neural architecture for stock indexes forecasting", Information Sciences, vol. 170(1), pp. 3-33, doi:10.1016/j.ins.2003.03.023, 2005.
  • E. Merelli et al., "Agents in bioinformatics, computational and systems biology", Briefings in Bioinformatics, vol. 8(1), pp. 45-59, doi:10.1093/bib/bbl014, 2007.
  • G. Armano, A. Murru and F. Roli, "Stock market prediction by a mixture of genetic-neural experts", Int. Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 16(5), pp. 501-526, doi:10.1142/S0218001402001861, 2002.
  • G. Armano, G. Mancosu, L. Milanesi, A. Orro, M. Saba, and E. Vargiu. “A Hybrid Genetic-Neural System for Predicting Protein Secondary Structure”, BMC Bioinformatics, ISSN 1471-2105, Vol. 6(4):S3, 2005.
  • M. A. Javarone and G. Armano, “Perception of similarity: a model for social networks dynamics”, Journal of Physics – A: Mathematical and Theoretical, ISSN: 1751-8121, doi:10.1088/1751-8113/46/45/4551022013, Vol. 46(45), 2013.
  • E. Vargiu, A. Giuliani, and G. Armano, “Improving Contextual Advertising by Adopting Collaborative Filtering”, ACM Transactions on the Web, ISSN: 1559-1131, doi: 10.1145/2516633.2516635, Vol. 7(3), Article 13 [22 pages], 2013.

SOME RECENT PUBLICATIONS (2012-2016)

  • GG. Valentini, G. Armano, M. Frasca, J. Lin, M. Mesiti and M. Re, “RANKS: A flexible tool for node label ranking and classification in biological networks”, Bioinformatics Application Notes, doi:10.1093/bioinformatics/btw235, 2016.
  • G. Armano and M. R. Farmani, “Multiobjective Clustering Analysis using Particle Swarm Optimization”, Expert Systems with Applications (ESWA), ISSN: 0957-4174, doi:10.1016/j.eswa.2016.02.009, p. 184-193, 2016.
  • G. Armano, “A direct measure of discriminant and characteristic capability for classifier building and assessment”, Information Sciences, Vol. 325, pp. 466–483, ISSN: 0020-0255, DOI: 0020-0255, 2015.
  • E. Manca, A. Manconi, A. Orro, G. Armano and L. Milanesi, “CUDA-quicksort: an improved GPU-based implementation of quicksort”, Concurrency and Computation: Practice and Experience, ISSN: 1532-0634, DOI: 10.1002/cpe.3611, 2015.
  • G. Armano, “Modelling Progressive Filtering”, Fundamenta Informaticae, Vol. 138(3), pp. 285-320, IOS Press, ISSN: 0169-2968, DOI: 10.3233/FI-2015-1213, Amsterdam, 2015.
  • G. Armano and E. Tamponi, “Experimenting multiresolution analysis for identifying regions of different classification complexity”, Pattern Analysis and Applications, Springer Verlag, ISSN: 1433-755X (online), DOI: 10.1007/s10044-014-0446-y, 2015.
  • A. Manconi, E. Manca, M. Moscatelli, M. Gnocchi, A. Orro, G. Armano and L. Milanesi, Frontiers in Bioengineering and Biotechnology, “G-CNV: a GPU-based tool for preparing data to detect CNVs with read-depth methods”, ISSN: 2296-4185, DOI:10.3389/fbioe.2015.00028, 2015.
  • A. Manconi, A. Orro, E. Manca, G. Armano, and L. Milanesi, “GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads”, PLOS One, ISSN: 1932-6203, DOI: 10.1371/journal.pone. 0097277, 2014.
  • G. Armano and M. R. Farmani, “Clustering Analysis with Combination of Artificial Bee Colony Algorithm and k-Means Technique”, Int. Journal of Computer Theory and Engineering (IJCTE) Vol.6(2), pp. 141-145, ISSN: 1793-8201, DOI: 10.7763/IJCTE.2014.V6.852, 2014.
  • A. Manconi, A. Orro, E. Manca, G. Armano and L. Milanesi, “A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units”, BMC Bioinformatics, ISSN 1471-2105, Vol. 15(Suppl 1:S10), doi:10.1186/1471-2105-15-S1-S10, 2014.
  • M. A. Javarone and G. Armano, “Perception of similarity: a model for social networks dynamics”, Journal of Physics – A: Mathematical and Theoretical, ISSN: 1751-8121, doi:10.1088/1751-8113/46/45/4551022013, Vol. 46(45), 2013.
  • M. A. Javarone and G. Armano, “Emergence of Acronyms in a community of language users”, European Physical Journal – B, ISSN: 1434-6028, doi: 10.1140/epjb/e2013-40662-5, Vol. 86(11), 2013.
  • E. Vargiu, A. Giuliani, and G. Armano, “Improving Contextual Advertising by Adopting Collaborative Filtering”, ACM Transactions on the Web, ISSN: 1559-1131, doi: 10.1145/2516633.2516635, Vol. 7(3), Article 13 [22 pages], 2013.
  • G. Armano and F. Mascia, "A Novel Method for Partitioning Feature Spaces According to their Inherent Classification Complexity", Int. Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), ISSN: 0218-0014, DOI: 10.1142/S0218001413500079, Vol. 27(2), [24 pages], 2013.
  • M. A. Javarone and G. Armano, "Quantum Classical Transitions in Complex Networks", Journal of Statistical Mechanics: Theory and Experiment (JSTAT), ISSN: 1742-5468, doi: 10.1088/1742-5468/2013/04/P04019, 2013.
  • G. Armano and M. A. Javarone, "Clustering Datasets by Complex Networks Analysis", Complex Adaptive Systems Modeling (CASM), ISSN: 2194-3206, doi:10.1186/2194-3206-1-5, Vol. 1(5), 2013.
  • A. Manconi, E. Vargiu, G. Armano, and L. Milanesi, “Literature Retrieval and Mining in Bioinformatics: State of the Art and Challenges,” Advances in Bioinformatics, ISSN: 1687-8027, doi: 10.1155/2012/573846, Vol. 2012, 2012.
  • A. Addis, G. Armano, and E. Vargiu, “MultiAgent Systems and Information Retrieval: Our Experience with X.MAS,” Journal of Expert Systems with Applications, Elsevier, ISSN: 0957-4174, doi: 10.1016/j.eswa.2011.08.103, Vol. 39(3), pp. 2509–2523, 2012.
primi sui motori con e-max