Journal Articles 2011(1 publication) [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Modelling Proteolytic Enzymes With Support Vector Machines", Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 8(3), September 2011, 2011 Conference Articles 2011(3 publications) [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Peptidase Detection and Classification Using Enhanced Kernel Methods with Feature Selection", in 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, Salamanca, Spain (2011), 2011 [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Efficient Discriminative Models for Proteomics with Simple and Optimized Features", in International Symposium on Computational Intelligence for Engineering Systems, Coimbra, Portugal (2011), 2011 [publication]Pereira, C. and Morgado, L.M. and Correia, D. and Verissimo, P. and António Dourado , "Kernel Machines for Proteomics Data Analysis: Algorithms and Tools", in 11th European Network for Business and Industrial Statistics, Coimbra, Portugal (2011), 2011 2010(1 publication) [publication]Morgado, L.M. and Pereira, C. and António Dourado and Verissimo, P. , "PEPTILAB: A Computational Tool for Peptidase Data Analysis", in 5th WACI - Workshop on Applications of Computational Intelligence, 2010 2009(3 publications) [publication]Morgado, L.M. and Pereira, C. , "Incremental Kernel Machines for Protein Remote Homology Detection", in 4th International Conference on Hybrid Artificial Intelligence Systems, 2009 [publication]Morgado, L.M. and Pereira, C. and António Dourado , "A Support Vector Machine based Framework for Protein Membership Prediction", in International Symposium on Computational Intelligence for Engineering Systems 2009, 2009 [citation][year=2016]Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words D Santoni, G Felici, D Vergni - Journal of theoretical biology, 2016 - Elsevier Abstract Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual ... [citation][year=2015]Machine Learning for Adaptive Many-Core Machines-A Practical Approach N Lopes, B Ribeiro - 2015 - Springer Today the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of activities, from science to business and industry. In particular, this is a fundamental issue in the Machine Learning (ML) area, ... [citation][year=2013]Computational intelligence techniques in bioinformatics AE Hassanien, ET Al-Shammari, NI Ghali - Computational biology and …, 2013 - Elsevier Abstract Computational intelligence (CI) is a well-established paradigm with current systems having many of the characteristics of biological computers and capable of performing a variety of tasks that are difficult to do using conventional techniques. It is a methodology ... [publication]Morgado, L.M. and Pereira, C. and António Dourado , "Ensemble of Kernel Machines for Protein Classification", in Workshop Applications of Computational Intelligence, 2009 2008(1 publication) [publication]Morgado, L.M. and Pereira, C. , "Biological Data Analysis using Incremental Kernel Machines: A Comparative Study", in WACIâ??08 - Workshop on Applications of Computational Intelligence, 2008 Book Chapters 2013(1 publication) [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Efficient Discriminative Models for Proteomics with Simple and Optimized Features ", in Computational Intelligence and Decision Making - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries, vol. 61, pp. 89-98, 2013 2011(1 publication) [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "A Support Vector Machine based Framework for Protein Membership Prediction", in Computational Intelligence for Engineering Systems, vol. 46, pp. 90-103, 2011 [citation][year=2016]LIVRO] Machine Learning for Adaptive Many-Core Machines-A Practical Approach N Lopes, B Ribeiro - 2015 - Springer Today the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of activities, from science to business and industry. In particular, this is a fundamental issue in the Machine Learning (ML) area, ... [citation][year=2016]Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words D Santoni, G Felici, D Vergni - Journal of theoretical biology, 2016 - Elsevier Abstract Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual ...